Background: Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey responses are ... more Background: Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey responses are considered significant indicators of the quality of care and patient satisfaction. There is a pressing need to improve patient satisfaction rates as CAHPS survey responses are considered when determining the amount a facility will be reimbursed by the Centers of Medicare and Medicaid each year. Low overall CAHPS scores for an academic medical center's dermatology clinics were anecdotally attributed to clinic type. However, it was unclear whether clinic type was contributing to the low scores or whether there were other factors. Objective: This study aimed to determine where the efforts of patient satisfaction improvement should be focused for two different types of dermatology clinics (private and rapid access clinics). Methods: This study used a concurrent mixed methods design. Secondary data derived from the University of Alabama at Birmingham Hospital's Press Ganey website were analyzed for clinic type comparisons and unstructured data were qualitatively analyzed to further enrich the quantitative findings. The University of Alabama at Birmingham Hospital is an academic medical center. The data were analyzed to determine the contributors responsible for each clinic not meeting national benchmarks. Thereafter, a review of these contributing factors was further performed to assess the difference in CAHPS scores between the private and rapid access clinics to determine if clinic type was a contributing factor to the overall scores. Results: The data sample included 821 responses from May 2017 to May 2018. Overall, when both private clinics and rapid access clinics were viewed collectively, majority of the patients reported stewardship of patient resources as the most poorly rated factor (367/549, 66.8%) and physician communication quality as the most positively rated factor (581/638, 91.0%). However, when private clinics and rapid access clinics were viewed individually, rapid access clinics contributed slightly to the overall lower dermatology scores at the academic medical center. Conclusions: This study determined that different factors were responsible for lower CAHPS scores for the two different dermatology clinics. Some of the contributing factors were associated with the mission of the clinic. It was suspected that the mission had not been properly communicated to patients, leading to misaligned expectations of care at each clinic.
Background: The primary value relative to health information exchange has been seen in terms of c... more Background: The primary value relative to health information exchange has been seen in terms of cost savings relative to laboratory and radiology testing, emergency department expenditures, and admissions. However, models are needed to statistically quantify value and sustainability and better understand the dependent and mediating factors that contribute to value and sustainability. Objective: The purpose of this study was to provide a basis for early model development for health information exchange value and sustainability. Methods: A qualitative study was conducted with 21 interviews of eHealth Exchange participants across 10 organizations. Using a grounded theory approach and 3.0 as a relative frequency threshold, 5 main categories and 16 subcategories emerged. Results: This study identifies 3 core current perceived value factors and 5 potential perceived value factors-how interviewees predict health information exchanges may evolve as there are more participants. These value factors were used as the foundation for early model development for sustainability of health information exchange. Conclusions: Using the value factors from the interviews, the study provides the basis for early model development for health information exchange value and sustainability. This basis includes factors from the research: fostering consumer engagement; establishing a provider directory; quantifying use, cost, and clinical outcomes; ensuring data integrity through patient matching; and increasing awareness, usefulness, interoperability, and sustainability of eHealth Exchange.
Journal of the Association for Information Systems, Feb 1, 2011
Recent developments in health information technology (health IT) for health information exchange ... more Recent developments in health information technology (health IT) for health information exchange suggest that successful public-private collaborations should devote more attention to understanding the dynamics of collaboration. In the context of health information sharing for disability determination, this case study examines early instances of public-private interorganizational sharing of health information. The theoretical focus of the paper is on the construction of blended value propositions and their role in collaboration for health information exchange. For this purpose, we performed a case analysis of a prototype health IT application to be shared between the United States Social Security Administration and Beth Israel Deaconess Medical Center. The case analysis found that business, socio-organizational, and technical dynamics were operative during the planning and execution of the prototype. From a theoretical perspective, the case study provides insight into blended value propositions in terms of understanding and potentially predicting the success of newly established Health Information Exchanges (HIEs). The findings have implications for further development of collaboration value propositions and their evolution over the course of IT deployments for health information exchange.
Background: Health services researchers spend a substantial amount of time performing integration... more Background: Health services researchers spend a substantial amount of time performing integration, cleansing, interpretation, and aggregation of raw data from multiple public or private data sources. Often, each researcher (or someone in their team) duplicates this effort for their own project, facing the same challenges and experiencing the same pitfalls discovered by those before them. Objective: This paper described a design process for creating a data warehouse that includes the most frequently used databases in health services research. Methods: The design is based on a conceptual iterative process model framework that utilizes the sociotechnical systems theory approach and includes the capacity for subsequent updates of the existing data sources and the addition of new ones. We introduce the theory and the framework and then explain how they are used to inform the methodology of this study. Results: The application of the iterative process model to the design research process of problem identification and solution design for the Healthcare Research and Analytics Data Infrastructure Solution (HRADIS) is described. Each phase of the iterative model produced end products to inform the implementation of HRADIS. The analysis phase produced the problem statement and requirements documents. The projection phase produced a list of tasks and goals for the ideal system. Finally, the synthesis phase provided the process for a plan to implement HRADIS. HRADIS structures and integrates data dictionaries provided by the data sources, allowing the creation of dimensions and measures for a multidimensional business intelligence system. We discuss how HRADIS is complemented with a set of data mining, analytics, and visualization tools to enable researchers to more efficiently apply multiple methods to a given research project. HRADIS also includes a built-in security and account management framework for data governance purposes to ensure customized authorization depending on user roles and parts of the data the roles are authorized to access. Conclusions: To address existing inefficiencies during the obtaining, extracting, preprocessing, cleansing, and filtering stages of data processing in health services research, we envision HRADIS as a full-service data warehouse integrating frequently used data sources, processes, and methods along with a variety of data analytics and visualization tools. This paper presents the application of the iterative process model to build such a solution. It also includes a discussion on several prominent issues, lessons learned, reflections and recommendations, and future considerations, as this model was applied.
JMIR bioinformatics and biotechnology, Sep 13, 2022
Background: Emergency department crowding continues to threaten patient safety and cause poor pat... more Background: Emergency department crowding continues to threaten patient safety and cause poor patient outcomes. Prior models designed to predict hospital admission have had biases. Predictive models that successfully estimate the probability of patient hospital admission would be useful in reducing or preventing emergency department "boarding" and hospital "exit block" and would reduce emergency department crowding by initiating earlier hospital admission and avoiding protracted bed procurement processes. Objective: To develop a model to predict imminent adult patient hospital admission from the emergency department early in the patient visit by utilizing existing clinical descriptors (ie, patient biomarkers) that are routinely collected at triage and captured in the hospital's electronic medical records. Biomarkers are advantageous for modeling due to their early and routine collection at triage; instantaneous availability; standardized definition, measurement, and interpretation; and their freedom from the confines of patient histories (ie, they are not affected by inaccurate patient reports on medical history, unavailable reports, or delayed report retrieval). Methods: This retrospective cohort study evaluated 1 year of consecutive data events among adult patients admitted to the emergency department and developed an algorithm that predicted which patients would require imminent hospital admission. Eight predictor variables were evaluated for their roles in the outcome of the patient emergency department visit. Logistic regression was used to model the study data. Results: The 8-predictor model included the following biomarkers: age, systolic blood pressure, diastolic blood pressure, heart rate, respiration rate, temperature, gender, and acuity level. The model used these biomarkers to identify emergency department patients who required hospital admission. Our model performed well, with good agreement between observed and predicted admissions, indicating a well-fitting and well-calibrated model that showed good ability to discriminate between patients who would and would not be admitted. Conclusions: This prediction model based on primary data identified emergency department patients with an increased risk of hospital admission. This actionable information can be used to improve patient care and hospital operations, especially by reducing emergency department crowding by looking ahead to predict which patients are likely to be admitted following triage, thereby providing needed information to initiate the complex admission and bed assignment processes much earlier in the care continuum.
Background Emergency department boarding and hospital exit block are primary causes of emergency ... more Background Emergency department boarding and hospital exit block are primary causes of emergency department crowding and have been conclusively associated with poor patient outcomes and major threats to patient safety. Boarding occurs when a patient is delayed or blocked from transitioning out of the emergency department because of dysfunctional transition or bed assignment processes. Predictive models for estimating the probability of an occurrence of this type could be useful in reducing or preventing emergency department boarding and hospital exit block, to reduce emergency department crowding. Objective The aim of this study was to identify and appraise the predictive performance, predictor utility, model application, and model utility of hospital admission prediction models that utilized prehospital, adult patient data and aimed to address emergency department crowding. Methods We searched multiple databases for studies, from inception to September 30, 2019, that evaluated mode...
The primary value relative to health information exchange has been seen in terms of cost savings ... more The primary value relative to health information exchange has been seen in terms of cost savings relative to laboratory and radiology testing, emergency department expenditures, and admissions. However, models are needed to statistically quantify value and sustainability and to better understand the dependent and mediating factors that contribute to value and sustainability.
Background: Many health systems transitioned rapidly to using inpatient and outpatient telemedici... more Background: Many health systems transitioned rapidly to using inpatient and outpatient telemedicine during the COVID-19 pandemic. Prior research has examined clinician satisfaction and experiences with telemedicine in a siloed approach for specific provider types. Less is known about how experiences with the rapid transition to telemedicine affected the entire clinical team, and how this contributed to their overall distress. Methods: A survey was conducted within a large academic medical center in the Southeastern United States during June of 2020. The survey asked about experiences with inpatient and outpatient telemedicine and overall distress. Analysis of variance was calculated to examine differences in experiences among physicians, nurses, and advanced practice providers (APPs) with both inpatient and outpatient telemedicine. Multivariate regression analysis was conducted to determine whether reported telemedicine stressors were associated with changes in overall distress scores. Qualitative comments provided during the survey were included to illustrate the quantitative findings. Results: Of the 1130 survey respondents, 237 indicated that they used telemedicine. Telemedicine use was not statistically significantly associated with overall distress scores. The APPs indicated the greatest satisfaction with telemedicine, followed by physicians and then nurses. Team members differed on their perceptions of quality of care and safety for inpatient and outpatient telemedicine. Physicians (70%) and APPs (64%) felt safer having the
Background Patients with co-occurring behavioral health and chronic medical conditions frequently... more Background Patients with co-occurring behavioral health and chronic medical conditions frequently overuse inpatient hospital services. This pattern of overuse contributes to inefficient health care spending. These patients require coordinated care to achieve optimal health outcomes. However, the poor exchange of health-related information between various clinicians renders the delivery of coordinated care challenging. Health information exchanges (HIEs) facilitate health-related information sharing and have been shown to be effective in chronic disease management; however, their effectiveness in the delivery of integrated care is less clear. It is prudent to consider new approaches to sharing both general medical and behavioral health information. Objective This study aims to identify and describe factors influencing the intention to use behavioral health information that is shared through HIEs. Methods We used a mixed methods design consisting of two sequential phases. A validated ...
The objective of this study is to understand patient experience by appointment time by analyzing ... more The objective of this study is to understand patient experience by appointment time by analyzing the Consumer Assessment of Hospital Provider and Systems (CAHPS) scores at a granular level across predetermined time periods (AM and PM). This study utilized quantitative and qualitative methods. A deidentified secondary data set from the University of Alabama at Birmingham's Press Ganey website was used to analyze the difference in CAHPS scores across AM and PM time periods. Unstructured survey responses were analyzed as a way to further enrich the quantitative findings. The data sample consisted of 821 responses from a dermatology clinic for the period of May 2017 to May 2018. Results suggested more positive patient experience for AM appointments when compared to PM appointments. The only positive experience for PM appointments was associated with the support staff and timeliness of care. This study indicated that time of day of the appointment is one of the contributing factors for patient satisfaction in the outpatient setting. While this study was conducted in a dermatology setting, it has applicability to the broader outpatient environment.
To date, most HIE studies have investigated user perceptions of value prior to use. Few studies h... more To date, most HIE studies have investigated user perceptions of value prior to use. Few studies have assessed factors associated with the value of HIE through its actual use. This study investigates provider perceptions on HIE comparing those who had prior experience vs those who had no experience with it. In so doing, we identify six constructs: prior use, system complexity, system concerns, public/population health, care delivery, and provider performance. This study uses a mixed methods approach to data collection. From 15 interviews of medical community leaders, a survey was constructed and administered to 263 clinicians. Descriptive statistics and analysis of variance was used, along with Tukey HSD tests for multiple comparisons. Results indicated providers whom previously used HIE had more positive perceptions about its benefits in terms of system complexity (p = .001), care delivery (p = .000), population health (p = .003), and provider performance (p = .005); women providers were more positive in terms of system concerns (p = .000); patient care (p = .031), and population health (p = .009); providers age 44-55 were more positive than older and younger groups in terms of patient care (p = .032), population health (p = .021), and provider performance (p = .014); while differences also existed across professional license groups (physician, nurse, other license, admin (no license)) for all five constructs (p < .05); and type of organization setting (hospital, ambulatory clinic, medical office, other) for three constructs including system concerns (p = .017), population health (p = .018), and provider performance (p = .018). There were no statistically significant differences found between groups based on a provider's role in an organization (patient care, administration, teaching/research, other). Different provider perspectives about the value derived from HIE use exist depending on prior experience with HIE, age, gender, license (physician, nurse, other license, admin (no license)), and type of organization setting (hospital, ambulatory clinic, medical office, other). This study draws from the theory of planned behavior to understand factors related to physicians' perceptions about HIE value, serving as a departure point for more detailed investigations of provider perceptions and behavior in regard to future HIE use and promoting interoperability.
Pressure is increasing on not-for-profit hospitals to demonstrate that they provide sufficient be... more Pressure is increasing on not-for-profit hospitals to demonstrate that they provide sufficient benefit to the community to justify their tax-exempt status. Many industry observers have suggested that this community benefit should address unmet medical needs within the community, deficits in the social determinants of health, or health disparities within communities. We argue that one area of clear unmet need is assistance in helping bridge the transition that people with disabilities (PWD) must make from rehabilitation patient to wellness participant. Programs to bridge this transition are necessary because many PWD struggle to identify strategies to maintain and maximize their own well-being after discharge from the healthcare system. As a result, PWD have worse health outcomes than non-disabled individuals. To address these needs, we propose hospitals take a leading role in establishing new, community-based efforts to provide PWD with benefits that will support their effort to self-manage health. Hospitals are well-suited to lead the creation of these programs because of the important role they play in providing services to PWD and because of their ability to bring together multiple stakeholders required to make supportive programs sustainable.
BACKGROUND Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey responses are c... more BACKGROUND Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey responses are considered significant indicators of the quality of care and patient satisfaction. There is a pressing need to improve patient satisfaction rates as CAHPS survey responses are considered when determining the amount a facility will be reimbursed by the Centers of Medicare and Medicaid each year. Low overall CAHPS scores for an academic medical center’s dermatology clinics were anecdotally attributed to clinic type. However, it was unclear whether clinic type was contributing to the low scores or whether there were other factors. OBJECTIVE This study aimed to determine where the efforts of patient satisfaction improvement should be focused for two different types of dermatology clinics (private and rapid access clinics). METHODS This study used a concurrent mixed methods design. Secondary data derived from the University of Alabama at Birmingham Hospital’s Press Ganey website were analyzed ...
This special themed international issue explores the multiple facets of health informatics, healt... more This special themed international issue explores the multiple facets of health informatics, healthcare quality and safety, and healthcare simulation from different parts of the world. The papers in this issue fall into two broad themes. The first theme uses the intersection to address better management of care including physical design layout. The second theme examines innovative uses of the triad to prevent critical and non-critical safety events. The collection of papers culminates with a position paper reporting on the interdependence that is emerging as an important triad for research and practice within medical education, system development and testing, and teamwork and communication and concludes with reducing imprecision and factual errors in handoffs. Findings from the special collection of papers can inform managers and leaders on advancing operations in healthcare settings.
Introduction: Employers are instituting employee wellness programs that include educational, life... more Introduction: Employers are instituting employee wellness programs that include educational, lifestyle coaching, and weight and other condition management components to address obesity-related issues in the workplace. However, the findings of such wellness initiatives have been mixed. The purpose of this exploratory study is to determine whether the readiness for change measures are important predictors of weight loss in an employee wellness program. Methods: Retrospective data analysis of an employee wellness program conducted in the United States was conducted using data collected between 2014 and 2015 for people with BMI ≥ 30. These participants were assigned to one of two subprograms: weight management or condition management. We assessed the weight change within each program. Further, the relationship between weight change and readiness for change variables for weight, diet, and physical activity were examined by applying multiple linear regression and logistic regression models. The multivariable model included subprogram; gender; age; systolic and diastolic blood pressure; risk factor count; readiness for change for weight, activity, and diet; and stress level as covariates. Results: There were 209 participants in the weight management program and 243 participants in the condition management program who met the criteria for obesity, resulting in a final sample of 452 participants. On average, the weight change for these participants was −0.28 pounds (SD = 15.55) and there was no statistical difference between the weight change in the two programs. When compared to the reference group (maintenance), participants at the action stage of physical activity, on average, lost weight (b = −4.59, p = 0.02). Likewise, participants at the pre-contemplation stage of physical activity lost weight when compared to the maintenance group (b = −26.24, p = 0.000). Participants at the pre-contemplation stage of physical activity had higher odds of achieving at least 5% weight loss than participants at the maintenance stage (OR = 5.80, p = 0.053). Conclusion: Readiness for change for activity may be a predictor of weight change, and may predict the likelihood of achieving clinically significant weight loss. These findings can assist in targeting subjects for participation in such programs. The findings regarding the relationship between readiness for change and weight loss are counterintuitive, and further research is warranted in this area.
ObjectivesThe objective of this article is to examine consumer perceptions of health information ... more ObjectivesThe objective of this article is to examine consumer perceptions of health information technology (health IT) utilization and benefits through an integrated conceptual framework.Materials and MethodsThis article employs an integrated conceptual framework to examine consumer perceptions of health IT. A consumer survey yielded 1125 completed responses. A factor-based scale was developed for each sub-construct. Bivariate analysis using χ2 tests was performed to determine differences in the percentage of respondents who agreed with each sub-construct based on whether their physician used an electronic health record (EHR) system. Multivariable logistic regression that controlled for demographic characteristics of respondents was performed to determine adjusted odds of agreeing with selected opinions of health information exchange (HIE).ResultsResults indicate that respondents whose physicians used an EHR system were significantly more likely to agree that there was a perceived ...
The area of healthcare quality and patient safety is starting to use health information technolog... more The area of healthcare quality and patient safety is starting to use health information technology to prevent reportable events, identify them before they become issues, and act on events that are thought to be unavoidable. As healthcare organizations begin to explore the use of health information technology in this realm, it is often unclear where fiscal and human efforts should be focused. The purpose of this study was to provide a foundation for understanding where to focus health information technology fiscal and human resources as well as expectations for the use of health information technology in healthcare quality and patient safety. A literature review was conducted to identify peer-reviewed publications reporting on the actual use of health information technology in healthcare quality and patient safety. Inductive thematic analysis with open coding was used to categorize a total of 41 studies. Three pre-set categories were used: prevention, identification, and action. Thre...
Regional intrastate and statewide health-information exchanges help to connect patients' disparat... more Regional intrastate and statewide health-information exchanges help to connect patients' disparate intrastate electronic health records. Intrastate electronic health-information exchange is necessary, yet it does not sufficiently serve the needs of a mobile population, expanding health systems, or a concentration of specialized providers in urban centers serving geographically distant patients. The purpose of this multicase study, consisting of interview data collected from seven states and an intrastate health-information exchange literature review, is to explore the value propositions and challenges for connecting states through interstate exchange. Findings show that attention must be placed on expanding the interstate exchange of patient health data, as 1) many health systems cross state lines, 2) many providers serve patients in different states, and 3) patients are increasingly willing to travel long distances to receive specialized medical attention. An extended discussion contextualizes the findings in consideration of national health-information exchange.
This study examined the use of the Nationwide Health Information Network as a cyberinfrastructure... more This study examined the use of the Nationwide Health Information Network as a cyberinfrastructure for secure and interoperable transport of existing clinical data from electronic health records. The context for this study was secondary use of existing data for Social Security Administration (SSA) disability determination. The medical records were requested and gathered using an SSA developed application called MEGAHIT. While challenges were expressed in terms of some technical standards such as gateway specifications, successes were articulated in terms of turnaround time for the release of information of under 2 minutes, a 30% time saving in overall medical information development.
There is an increasing need for a larger and better trained workforce in medical informatics. The... more There is an increasing need for a larger and better trained workforce in medical informatics. The goal of the AMIA 10x10 program is to educate 10,000 clinicians in medical informatics by 2010. Building upon a previously developed course, a 12 week graduate informatics course was adapted with 170 people completing the course by spring 2006. This research aims to evaluate, via qualitative methods, program satisfaction, as well as future career and/or education paths of participants.
Background: Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey responses are ... more Background: Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey responses are considered significant indicators of the quality of care and patient satisfaction. There is a pressing need to improve patient satisfaction rates as CAHPS survey responses are considered when determining the amount a facility will be reimbursed by the Centers of Medicare and Medicaid each year. Low overall CAHPS scores for an academic medical center's dermatology clinics were anecdotally attributed to clinic type. However, it was unclear whether clinic type was contributing to the low scores or whether there were other factors. Objective: This study aimed to determine where the efforts of patient satisfaction improvement should be focused for two different types of dermatology clinics (private and rapid access clinics). Methods: This study used a concurrent mixed methods design. Secondary data derived from the University of Alabama at Birmingham Hospital's Press Ganey website were analyzed for clinic type comparisons and unstructured data were qualitatively analyzed to further enrich the quantitative findings. The University of Alabama at Birmingham Hospital is an academic medical center. The data were analyzed to determine the contributors responsible for each clinic not meeting national benchmarks. Thereafter, a review of these contributing factors was further performed to assess the difference in CAHPS scores between the private and rapid access clinics to determine if clinic type was a contributing factor to the overall scores. Results: The data sample included 821 responses from May 2017 to May 2018. Overall, when both private clinics and rapid access clinics were viewed collectively, majority of the patients reported stewardship of patient resources as the most poorly rated factor (367/549, 66.8%) and physician communication quality as the most positively rated factor (581/638, 91.0%). However, when private clinics and rapid access clinics were viewed individually, rapid access clinics contributed slightly to the overall lower dermatology scores at the academic medical center. Conclusions: This study determined that different factors were responsible for lower CAHPS scores for the two different dermatology clinics. Some of the contributing factors were associated with the mission of the clinic. It was suspected that the mission had not been properly communicated to patients, leading to misaligned expectations of care at each clinic.
Background: The primary value relative to health information exchange has been seen in terms of c... more Background: The primary value relative to health information exchange has been seen in terms of cost savings relative to laboratory and radiology testing, emergency department expenditures, and admissions. However, models are needed to statistically quantify value and sustainability and better understand the dependent and mediating factors that contribute to value and sustainability. Objective: The purpose of this study was to provide a basis for early model development for health information exchange value and sustainability. Methods: A qualitative study was conducted with 21 interviews of eHealth Exchange participants across 10 organizations. Using a grounded theory approach and 3.0 as a relative frequency threshold, 5 main categories and 16 subcategories emerged. Results: This study identifies 3 core current perceived value factors and 5 potential perceived value factors-how interviewees predict health information exchanges may evolve as there are more participants. These value factors were used as the foundation for early model development for sustainability of health information exchange. Conclusions: Using the value factors from the interviews, the study provides the basis for early model development for health information exchange value and sustainability. This basis includes factors from the research: fostering consumer engagement; establishing a provider directory; quantifying use, cost, and clinical outcomes; ensuring data integrity through patient matching; and increasing awareness, usefulness, interoperability, and sustainability of eHealth Exchange.
Journal of the Association for Information Systems, Feb 1, 2011
Recent developments in health information technology (health IT) for health information exchange ... more Recent developments in health information technology (health IT) for health information exchange suggest that successful public-private collaborations should devote more attention to understanding the dynamics of collaboration. In the context of health information sharing for disability determination, this case study examines early instances of public-private interorganizational sharing of health information. The theoretical focus of the paper is on the construction of blended value propositions and their role in collaboration for health information exchange. For this purpose, we performed a case analysis of a prototype health IT application to be shared between the United States Social Security Administration and Beth Israel Deaconess Medical Center. The case analysis found that business, socio-organizational, and technical dynamics were operative during the planning and execution of the prototype. From a theoretical perspective, the case study provides insight into blended value propositions in terms of understanding and potentially predicting the success of newly established Health Information Exchanges (HIEs). The findings have implications for further development of collaboration value propositions and their evolution over the course of IT deployments for health information exchange.
Background: Health services researchers spend a substantial amount of time performing integration... more Background: Health services researchers spend a substantial amount of time performing integration, cleansing, interpretation, and aggregation of raw data from multiple public or private data sources. Often, each researcher (or someone in their team) duplicates this effort for their own project, facing the same challenges and experiencing the same pitfalls discovered by those before them. Objective: This paper described a design process for creating a data warehouse that includes the most frequently used databases in health services research. Methods: The design is based on a conceptual iterative process model framework that utilizes the sociotechnical systems theory approach and includes the capacity for subsequent updates of the existing data sources and the addition of new ones. We introduce the theory and the framework and then explain how they are used to inform the methodology of this study. Results: The application of the iterative process model to the design research process of problem identification and solution design for the Healthcare Research and Analytics Data Infrastructure Solution (HRADIS) is described. Each phase of the iterative model produced end products to inform the implementation of HRADIS. The analysis phase produced the problem statement and requirements documents. The projection phase produced a list of tasks and goals for the ideal system. Finally, the synthesis phase provided the process for a plan to implement HRADIS. HRADIS structures and integrates data dictionaries provided by the data sources, allowing the creation of dimensions and measures for a multidimensional business intelligence system. We discuss how HRADIS is complemented with a set of data mining, analytics, and visualization tools to enable researchers to more efficiently apply multiple methods to a given research project. HRADIS also includes a built-in security and account management framework for data governance purposes to ensure customized authorization depending on user roles and parts of the data the roles are authorized to access. Conclusions: To address existing inefficiencies during the obtaining, extracting, preprocessing, cleansing, and filtering stages of data processing in health services research, we envision HRADIS as a full-service data warehouse integrating frequently used data sources, processes, and methods along with a variety of data analytics and visualization tools. This paper presents the application of the iterative process model to build such a solution. It also includes a discussion on several prominent issues, lessons learned, reflections and recommendations, and future considerations, as this model was applied.
JMIR bioinformatics and biotechnology, Sep 13, 2022
Background: Emergency department crowding continues to threaten patient safety and cause poor pat... more Background: Emergency department crowding continues to threaten patient safety and cause poor patient outcomes. Prior models designed to predict hospital admission have had biases. Predictive models that successfully estimate the probability of patient hospital admission would be useful in reducing or preventing emergency department "boarding" and hospital "exit block" and would reduce emergency department crowding by initiating earlier hospital admission and avoiding protracted bed procurement processes. Objective: To develop a model to predict imminent adult patient hospital admission from the emergency department early in the patient visit by utilizing existing clinical descriptors (ie, patient biomarkers) that are routinely collected at triage and captured in the hospital's electronic medical records. Biomarkers are advantageous for modeling due to their early and routine collection at triage; instantaneous availability; standardized definition, measurement, and interpretation; and their freedom from the confines of patient histories (ie, they are not affected by inaccurate patient reports on medical history, unavailable reports, or delayed report retrieval). Methods: This retrospective cohort study evaluated 1 year of consecutive data events among adult patients admitted to the emergency department and developed an algorithm that predicted which patients would require imminent hospital admission. Eight predictor variables were evaluated for their roles in the outcome of the patient emergency department visit. Logistic regression was used to model the study data. Results: The 8-predictor model included the following biomarkers: age, systolic blood pressure, diastolic blood pressure, heart rate, respiration rate, temperature, gender, and acuity level. The model used these biomarkers to identify emergency department patients who required hospital admission. Our model performed well, with good agreement between observed and predicted admissions, indicating a well-fitting and well-calibrated model that showed good ability to discriminate between patients who would and would not be admitted. Conclusions: This prediction model based on primary data identified emergency department patients with an increased risk of hospital admission. This actionable information can be used to improve patient care and hospital operations, especially by reducing emergency department crowding by looking ahead to predict which patients are likely to be admitted following triage, thereby providing needed information to initiate the complex admission and bed assignment processes much earlier in the care continuum.
Background Emergency department boarding and hospital exit block are primary causes of emergency ... more Background Emergency department boarding and hospital exit block are primary causes of emergency department crowding and have been conclusively associated with poor patient outcomes and major threats to patient safety. Boarding occurs when a patient is delayed or blocked from transitioning out of the emergency department because of dysfunctional transition or bed assignment processes. Predictive models for estimating the probability of an occurrence of this type could be useful in reducing or preventing emergency department boarding and hospital exit block, to reduce emergency department crowding. Objective The aim of this study was to identify and appraise the predictive performance, predictor utility, model application, and model utility of hospital admission prediction models that utilized prehospital, adult patient data and aimed to address emergency department crowding. Methods We searched multiple databases for studies, from inception to September 30, 2019, that evaluated mode...
The primary value relative to health information exchange has been seen in terms of cost savings ... more The primary value relative to health information exchange has been seen in terms of cost savings relative to laboratory and radiology testing, emergency department expenditures, and admissions. However, models are needed to statistically quantify value and sustainability and to better understand the dependent and mediating factors that contribute to value and sustainability.
Background: Many health systems transitioned rapidly to using inpatient and outpatient telemedici... more Background: Many health systems transitioned rapidly to using inpatient and outpatient telemedicine during the COVID-19 pandemic. Prior research has examined clinician satisfaction and experiences with telemedicine in a siloed approach for specific provider types. Less is known about how experiences with the rapid transition to telemedicine affected the entire clinical team, and how this contributed to their overall distress. Methods: A survey was conducted within a large academic medical center in the Southeastern United States during June of 2020. The survey asked about experiences with inpatient and outpatient telemedicine and overall distress. Analysis of variance was calculated to examine differences in experiences among physicians, nurses, and advanced practice providers (APPs) with both inpatient and outpatient telemedicine. Multivariate regression analysis was conducted to determine whether reported telemedicine stressors were associated with changes in overall distress scores. Qualitative comments provided during the survey were included to illustrate the quantitative findings. Results: Of the 1130 survey respondents, 237 indicated that they used telemedicine. Telemedicine use was not statistically significantly associated with overall distress scores. The APPs indicated the greatest satisfaction with telemedicine, followed by physicians and then nurses. Team members differed on their perceptions of quality of care and safety for inpatient and outpatient telemedicine. Physicians (70%) and APPs (64%) felt safer having the
Background Patients with co-occurring behavioral health and chronic medical conditions frequently... more Background Patients with co-occurring behavioral health and chronic medical conditions frequently overuse inpatient hospital services. This pattern of overuse contributes to inefficient health care spending. These patients require coordinated care to achieve optimal health outcomes. However, the poor exchange of health-related information between various clinicians renders the delivery of coordinated care challenging. Health information exchanges (HIEs) facilitate health-related information sharing and have been shown to be effective in chronic disease management; however, their effectiveness in the delivery of integrated care is less clear. It is prudent to consider new approaches to sharing both general medical and behavioral health information. Objective This study aims to identify and describe factors influencing the intention to use behavioral health information that is shared through HIEs. Methods We used a mixed methods design consisting of two sequential phases. A validated ...
The objective of this study is to understand patient experience by appointment time by analyzing ... more The objective of this study is to understand patient experience by appointment time by analyzing the Consumer Assessment of Hospital Provider and Systems (CAHPS) scores at a granular level across predetermined time periods (AM and PM). This study utilized quantitative and qualitative methods. A deidentified secondary data set from the University of Alabama at Birmingham's Press Ganey website was used to analyze the difference in CAHPS scores across AM and PM time periods. Unstructured survey responses were analyzed as a way to further enrich the quantitative findings. The data sample consisted of 821 responses from a dermatology clinic for the period of May 2017 to May 2018. Results suggested more positive patient experience for AM appointments when compared to PM appointments. The only positive experience for PM appointments was associated with the support staff and timeliness of care. This study indicated that time of day of the appointment is one of the contributing factors for patient satisfaction in the outpatient setting. While this study was conducted in a dermatology setting, it has applicability to the broader outpatient environment.
To date, most HIE studies have investigated user perceptions of value prior to use. Few studies h... more To date, most HIE studies have investigated user perceptions of value prior to use. Few studies have assessed factors associated with the value of HIE through its actual use. This study investigates provider perceptions on HIE comparing those who had prior experience vs those who had no experience with it. In so doing, we identify six constructs: prior use, system complexity, system concerns, public/population health, care delivery, and provider performance. This study uses a mixed methods approach to data collection. From 15 interviews of medical community leaders, a survey was constructed and administered to 263 clinicians. Descriptive statistics and analysis of variance was used, along with Tukey HSD tests for multiple comparisons. Results indicated providers whom previously used HIE had more positive perceptions about its benefits in terms of system complexity (p = .001), care delivery (p = .000), population health (p = .003), and provider performance (p = .005); women providers were more positive in terms of system concerns (p = .000); patient care (p = .031), and population health (p = .009); providers age 44-55 were more positive than older and younger groups in terms of patient care (p = .032), population health (p = .021), and provider performance (p = .014); while differences also existed across professional license groups (physician, nurse, other license, admin (no license)) for all five constructs (p < .05); and type of organization setting (hospital, ambulatory clinic, medical office, other) for three constructs including system concerns (p = .017), population health (p = .018), and provider performance (p = .018). There were no statistically significant differences found between groups based on a provider's role in an organization (patient care, administration, teaching/research, other). Different provider perspectives about the value derived from HIE use exist depending on prior experience with HIE, age, gender, license (physician, nurse, other license, admin (no license)), and type of organization setting (hospital, ambulatory clinic, medical office, other). This study draws from the theory of planned behavior to understand factors related to physicians' perceptions about HIE value, serving as a departure point for more detailed investigations of provider perceptions and behavior in regard to future HIE use and promoting interoperability.
Pressure is increasing on not-for-profit hospitals to demonstrate that they provide sufficient be... more Pressure is increasing on not-for-profit hospitals to demonstrate that they provide sufficient benefit to the community to justify their tax-exempt status. Many industry observers have suggested that this community benefit should address unmet medical needs within the community, deficits in the social determinants of health, or health disparities within communities. We argue that one area of clear unmet need is assistance in helping bridge the transition that people with disabilities (PWD) must make from rehabilitation patient to wellness participant. Programs to bridge this transition are necessary because many PWD struggle to identify strategies to maintain and maximize their own well-being after discharge from the healthcare system. As a result, PWD have worse health outcomes than non-disabled individuals. To address these needs, we propose hospitals take a leading role in establishing new, community-based efforts to provide PWD with benefits that will support their effort to self-manage health. Hospitals are well-suited to lead the creation of these programs because of the important role they play in providing services to PWD and because of their ability to bring together multiple stakeholders required to make supportive programs sustainable.
BACKGROUND Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey responses are c... more BACKGROUND Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey responses are considered significant indicators of the quality of care and patient satisfaction. There is a pressing need to improve patient satisfaction rates as CAHPS survey responses are considered when determining the amount a facility will be reimbursed by the Centers of Medicare and Medicaid each year. Low overall CAHPS scores for an academic medical center’s dermatology clinics were anecdotally attributed to clinic type. However, it was unclear whether clinic type was contributing to the low scores or whether there were other factors. OBJECTIVE This study aimed to determine where the efforts of patient satisfaction improvement should be focused for two different types of dermatology clinics (private and rapid access clinics). METHODS This study used a concurrent mixed methods design. Secondary data derived from the University of Alabama at Birmingham Hospital’s Press Ganey website were analyzed ...
This special themed international issue explores the multiple facets of health informatics, healt... more This special themed international issue explores the multiple facets of health informatics, healthcare quality and safety, and healthcare simulation from different parts of the world. The papers in this issue fall into two broad themes. The first theme uses the intersection to address better management of care including physical design layout. The second theme examines innovative uses of the triad to prevent critical and non-critical safety events. The collection of papers culminates with a position paper reporting on the interdependence that is emerging as an important triad for research and practice within medical education, system development and testing, and teamwork and communication and concludes with reducing imprecision and factual errors in handoffs. Findings from the special collection of papers can inform managers and leaders on advancing operations in healthcare settings.
Introduction: Employers are instituting employee wellness programs that include educational, life... more Introduction: Employers are instituting employee wellness programs that include educational, lifestyle coaching, and weight and other condition management components to address obesity-related issues in the workplace. However, the findings of such wellness initiatives have been mixed. The purpose of this exploratory study is to determine whether the readiness for change measures are important predictors of weight loss in an employee wellness program. Methods: Retrospective data analysis of an employee wellness program conducted in the United States was conducted using data collected between 2014 and 2015 for people with BMI ≥ 30. These participants were assigned to one of two subprograms: weight management or condition management. We assessed the weight change within each program. Further, the relationship between weight change and readiness for change variables for weight, diet, and physical activity were examined by applying multiple linear regression and logistic regression models. The multivariable model included subprogram; gender; age; systolic and diastolic blood pressure; risk factor count; readiness for change for weight, activity, and diet; and stress level as covariates. Results: There were 209 participants in the weight management program and 243 participants in the condition management program who met the criteria for obesity, resulting in a final sample of 452 participants. On average, the weight change for these participants was −0.28 pounds (SD = 15.55) and there was no statistical difference between the weight change in the two programs. When compared to the reference group (maintenance), participants at the action stage of physical activity, on average, lost weight (b = −4.59, p = 0.02). Likewise, participants at the pre-contemplation stage of physical activity lost weight when compared to the maintenance group (b = −26.24, p = 0.000). Participants at the pre-contemplation stage of physical activity had higher odds of achieving at least 5% weight loss than participants at the maintenance stage (OR = 5.80, p = 0.053). Conclusion: Readiness for change for activity may be a predictor of weight change, and may predict the likelihood of achieving clinically significant weight loss. These findings can assist in targeting subjects for participation in such programs. The findings regarding the relationship between readiness for change and weight loss are counterintuitive, and further research is warranted in this area.
ObjectivesThe objective of this article is to examine consumer perceptions of health information ... more ObjectivesThe objective of this article is to examine consumer perceptions of health information technology (health IT) utilization and benefits through an integrated conceptual framework.Materials and MethodsThis article employs an integrated conceptual framework to examine consumer perceptions of health IT. A consumer survey yielded 1125 completed responses. A factor-based scale was developed for each sub-construct. Bivariate analysis using χ2 tests was performed to determine differences in the percentage of respondents who agreed with each sub-construct based on whether their physician used an electronic health record (EHR) system. Multivariable logistic regression that controlled for demographic characteristics of respondents was performed to determine adjusted odds of agreeing with selected opinions of health information exchange (HIE).ResultsResults indicate that respondents whose physicians used an EHR system were significantly more likely to agree that there was a perceived ...
The area of healthcare quality and patient safety is starting to use health information technolog... more The area of healthcare quality and patient safety is starting to use health information technology to prevent reportable events, identify them before they become issues, and act on events that are thought to be unavoidable. As healthcare organizations begin to explore the use of health information technology in this realm, it is often unclear where fiscal and human efforts should be focused. The purpose of this study was to provide a foundation for understanding where to focus health information technology fiscal and human resources as well as expectations for the use of health information technology in healthcare quality and patient safety. A literature review was conducted to identify peer-reviewed publications reporting on the actual use of health information technology in healthcare quality and patient safety. Inductive thematic analysis with open coding was used to categorize a total of 41 studies. Three pre-set categories were used: prevention, identification, and action. Thre...
Regional intrastate and statewide health-information exchanges help to connect patients' disparat... more Regional intrastate and statewide health-information exchanges help to connect patients' disparate intrastate electronic health records. Intrastate electronic health-information exchange is necessary, yet it does not sufficiently serve the needs of a mobile population, expanding health systems, or a concentration of specialized providers in urban centers serving geographically distant patients. The purpose of this multicase study, consisting of interview data collected from seven states and an intrastate health-information exchange literature review, is to explore the value propositions and challenges for connecting states through interstate exchange. Findings show that attention must be placed on expanding the interstate exchange of patient health data, as 1) many health systems cross state lines, 2) many providers serve patients in different states, and 3) patients are increasingly willing to travel long distances to receive specialized medical attention. An extended discussion contextualizes the findings in consideration of national health-information exchange.
This study examined the use of the Nationwide Health Information Network as a cyberinfrastructure... more This study examined the use of the Nationwide Health Information Network as a cyberinfrastructure for secure and interoperable transport of existing clinical data from electronic health records. The context for this study was secondary use of existing data for Social Security Administration (SSA) disability determination. The medical records were requested and gathered using an SSA developed application called MEGAHIT. While challenges were expressed in terms of some technical standards such as gateway specifications, successes were articulated in terms of turnaround time for the release of information of under 2 minutes, a 30% time saving in overall medical information development.
There is an increasing need for a larger and better trained workforce in medical informatics. The... more There is an increasing need for a larger and better trained workforce in medical informatics. The goal of the AMIA 10x10 program is to educate 10,000 clinicians in medical informatics by 2010. Building upon a previously developed course, a 12 week graduate informatics course was adapted with 170 people completing the course by spring 2006. This research aims to evaluate, via qualitative methods, program satisfaction, as well as future career and/or education paths of participants.
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Papers by Sue Feldman