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Murthi S, Martini N, Falconer N, Scahill S. Evaluating EHR-Integrated Digital Technologies for Medication-Related Outcomes and Health Equity in Hospitalised Adults: A Scoping Review. J Med Syst 2024; 48:79. [PMID: 39174723 PMCID: PMC11341601 DOI: 10.1007/s10916-024-02097-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 07/31/2024] [Indexed: 08/24/2024]
Abstract
The purpose of this scoping review is to identify and evaluate studies that examine the effectiveness and implementation strategies of Electronic Health Record (EHR)-integrated digital technologies aimed at improving medication-related outcomes and promoting health equity among hospitalised adults. Using the Consolidated Framework for Implementation Research (CFIR), the implementation methods and outcomes of the studies were evaluated, as was the assessment of methodological quality and risk of bias. Searches through Medline, Embase, Web of Science, and CINAHL Plus yielded 23 relevant studies from 1,232 abstracts, spanning 11 countries and from 2008 to 2022, with varied research designs. Integrated digital tools such as alert systems, clinical decision support systems, predictive analytics, risk assessment, and real-time screening and surveillance within EHRs demonstrated potential in reducing medication errors, adverse events, and inappropriate medication use, particularly in older patients. Challenges include alert fatigue, clinician acceptance, workflow integration, cost, data integrity, interoperability, and the potential for algorithmic bias, with a call for long-term and ongoing monitoring of patient safety and health equity outcomes. This review, guided by the CFIR framework, highlights the importance of designing health technology based on evidence and user-centred practices. Quality assessments identified eligibility and representativeness issues that affected the reliability and generalisability of the findings. This review also highlights a critical research gap on whether EHR-integrated digital tools can address or worsen health inequities among hospitalised patients. Recognising the growing role of Artificial Intelligence (AI) and Machine Learning (ML), this review calls for further research on its influence on medication management and health equity through integration of EHR and digital technology.
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Affiliation(s)
- Sreyon Murthi
- School of Pharmacy, Faculty of Medical & Health Sciences, University of Auckland, Auckland, New Zealand.
| | - Nataly Martini
- School of Pharmacy, Faculty of Medical & Health Sciences, University of Auckland, Auckland, New Zealand
| | - Nazanin Falconer
- School of Pharmacy, University of Queensland, Brisbane, Australia
| | - Shane Scahill
- School of Pharmacy, Faculty of Medical & Health Sciences, University of Auckland, Auckland, New Zealand
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Nguyen OT, Turner K, Charles D, Sprow O, Perkins R, Hong YR, Islam JY, Khanna N, Alishahi Tabriz A, Hallanger-Johnson J, Bickel Young J, Moore CE. Implementing Digital Scribes to Reduce Electronic Health Record Documentation Burden Among Cancer Care Clinicians: A Mixed-Methods Pilot Study. JCO Clin Cancer Inform 2023; 7:e2200166. [PMID: 36972488 DOI: 10.1200/cci.22.00166] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
Abstract
PURPOSE To address shortcomings of human scribes (eg, turnover), clinicians are considering digital scribes (DSs). To our knowledge, to date, no study has assessed DS implementation or clinician user experience in cancer centers. We assessed the DS's feasibility, acceptability, appropriateness, usability and its preliminary association on clinician well-being in a cancer center. We also identified implementation facilitators and barriers to DS use. METHODS Using a mixed-methods longitudinal pilot study design, we implemented a DS at a cancer center. Data collection included surveys at baseline and 1 month after DS use and a semistructured interview with clinicians. The survey assessed demographics, Mini Z (workplace stress and burnout), sleep quality, and implementation outcomes (feasibility, acceptability, appropriateness, and usability). The interview assessed how the DS was used and its impacts on workflows and recommendations for future implementations of the DS. We used paired t tests to assess differences in Mini Z and sleep quality measures over time. RESULTS Across nine survey responses and eight interviews, we found that although feasibility scores were slightly lower than our cutoff point (15.2 v 16.0), clinicians rated the DS as marginally acceptable (16.0) and appropriate (16.3). Usability was considered marginally usable (68.6 v 68.0). Although the DS did not significantly improve burnout (3.6 v 3.9, P = .081), it improved perceptions of having sufficient documentation time (2.1 v 3.6, P = .005). Clinicians identified suggestions for future implementations, including training needs and usability improvements. CONCLUSION Our preliminary findings suggest that DS implementation is marginally acceptable, appropriate, and usable among cancer care clinicians. Individualized training and on-site support may improve implementation.
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Affiliation(s)
- Oliver T Nguyen
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Kea Turner
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Department of Oncologic Science, University of South Florida, Tampa, FL
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Dannelle Charles
- Participant, Research, Interventions, and Measurement Core, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Olivia Sprow
- Department of Epidemiology, University of Florida, Gainesville, FL
| | - Randa Perkins
- Department of Internal Medicine, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Young-Rock Hong
- Department of Health Services Research, Management, and Policy, Gainesville, FL
| | - Jessica Y Islam
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Neel Khanna
- Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Amir Alishahi Tabriz
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Department of Oncologic Science, University of South Florida, Tampa, FL
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | | | - Jennifer Bickel Young
- Department of Oncologic Science, University of South Florida, Tampa, FL
- Department of Neuro-Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
- Wellness Office, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - Colin E Moore
- Department of Individualized Cancer Management, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
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Kilańska D, Ogonowska A, Librowska B, Kusiak M, Marczak M, Kozlowski R. The Usability of IT Systems in Document Management, Using the Example of the ADPIECare Dorothea Documentation and Nurse Support System. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148805. [PMID: 35886658 PMCID: PMC9323578 DOI: 10.3390/ijerph19148805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/10/2022] [Accepted: 07/11/2022] [Indexed: 11/30/2022]
Abstract
Background: In 2016, an IT system was developed at MUL for the documentation of nursing practice. Preparing nursing students for the implementation of eHealth solutions under simulated conditions is crucially important for achieving the digital competencies necessary for health care systems in the future. Scientific evidence demonstrates that the use of an IT system in clinical practice shortens the time required for the preparation of documentation, increases the safety of clinical decisions and provides data for analysis and for the creation of predictive models for the purposes of HB HTA. Methods: The system was created through the cooperation of an interprofessional team at the Medical University of Łódź. The ADPIECare system was implemented in 2016 at three universities in Poland, and in 2017 a study of its usability was conducted using a questionnaire made available by Healthcare Information and Management Systems Society, “Defining and Testing EMR Usability MASTER V2 Final” on 78 nurses—students of MA in Nursing at Medical University of Łódź. Findings: Over 50% of the surveyed nurses indicated the usability of the system for the “effectiveness of documentation” variable. The same group of respondents had a positive attitude towards patient care planning with the use of the assessed system. In the opinions of the examined parties, positive opinions predominated, such as, e.g., “the system is intuitive”, “the system facilitates work”, “all patient assessments are in one place”, and “the time needed for data entry would be shortened”.
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Affiliation(s)
- Dorota Kilańska
- Department of Coordinated Care, Medical University of Lodz, Kościuszki Street 4, 90-131 Lodz, Poland; (B.L.); (M.K.)
- Correspondence:
| | - Agnieszka Ogonowska
- Department of Management and Logistics in Healthcare, Medical University of Lodz, Lindleya Street 6, 90-131 Lodz, Poland; (A.O.); (M.M.)
| | - Barbara Librowska
- Department of Coordinated Care, Medical University of Lodz, Kościuszki Street 4, 90-131 Lodz, Poland; (B.L.); (M.K.)
| | - Maja Kusiak
- Department of Coordinated Care, Medical University of Lodz, Kościuszki Street 4, 90-131 Lodz, Poland; (B.L.); (M.K.)
| | - Michał Marczak
- Department of Management and Logistics in Healthcare, Medical University of Lodz, Lindleya Street 6, 90-131 Lodz, Poland; (A.O.); (M.M.)
| | - Remigiusz Kozlowski
- Center of Security Technologies in Logistics, Faculty of Management, University of Lodz, Matejki Street 22/26, 90-237 Lodz, Poland;
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Amlung J, Huth H, Cullen T, Sequist T. Modernizing health information technology: lessons from healthcare delivery systems. JAMIA Open 2020; 3:369-377. [PMID: 33215072 PMCID: PMC7660948 DOI: 10.1093/jamiaopen/ooaa027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/02/2020] [Accepted: 06/17/2020] [Indexed: 11/27/2022] Open
Abstract
Objective To identify recurrent themes, insights, and process recommendations from stakeholders in US organizations during the health information technology (HIT) modernization of an existing electronic health record (EHR) to a commercial-off-the-shelf product in both resource-plentiful settings and in a resource-constrained environment, the US Indian Health Service. Materials and Methods Thirteen qualitative interviews with stakeholders in various organizations were conducted about HIT modernization efforts. Using a Theory of Change framework, recurring themes were identified and analyzed. Results The interviewees emphasized the importance of organizational and process revision during modernization, converting historical data, and clinical and leadership involvement. HIT implementation required technological and infrastructure redesign, additional training, and workflow reconfiguration. Motivations for modernization included EHR usability dissatisfaction, revenue enhancements, and improved clinical operations. Decision-making strategies, primarily during HIT selection, included meetings with stakeholders. Successful modernization resulted in improvements in clinical operations, patient experience, and financial outlay. Discussion Existing implementation frameworks fail to provide experiential feedback, such as implementation challenges, like data conversion, regulatory, functionality, and interoperability requirements. Regardless of the healthcare environment, HIT modernization requires the engagement of leadership and end-users during HIT selection and through all stages of the implementation to prepare people, processes, and technology. Organizations must iteratively define the technological, infrastructure, organizational, and workflow changes required for a successful HIT modernization effort. Conclusions HIT modernization is an opportunity for organizational and technological change. Successful modernization requires a comprehensive, intentional, well-communicated, and multidisciplinary approach. Resource-constrained environments have the additional challenges of financial burdens, limited staffing, and unstable infrastructure.
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Affiliation(s)
- Joseph Amlung
- Global Health Informatics, Center for Biomedical Informatics, Regenstrief Institute Inc., Indianapolis, Indiana, USA
| | - Hannah Huth
- Indiana University, Bloomington, Indiana, USA
| | - Theresa Cullen
- Global Health Informatics, Center for Biomedical Informatics, Regenstrief Institute Inc., Indianapolis, Indiana, USA
| | - Thomas Sequist
- Division of General Medicine, Department of Health Care Policy, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Ensari I, Pichon A, Lipsky-Gorman S, Bakken S, Elhadad N. Augmenting the Clinical Data Sources for Enigmatic Diseases: A Cross-Sectional Study of Self-Tracking Data and Clinical Documentation in Endometriosis. Appl Clin Inform 2020; 11:769-784. [PMID: 33207385 PMCID: PMC7673957 DOI: 10.1055/s-0040-1718755] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Accepted: 07/14/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Self-tracking through mobile health technology can augment the electronic health record (EHR) as an additional data source by providing direct patient input. This can be particularly useful in the context of enigmatic diseases and further promote patient engagement. OBJECTIVES This study aimed to investigate the additional information that can be gained through direct patient input on poorly understood diseases, beyond what is already documented in the EHR. METHODS This was an observational study including two samples with a clinically confirmed endometriosis diagnosis. We analyzed data from 6,925 women with endometriosis using a research app for tracking endometriosis to assess prevalence of self-reported pain problems, between- and within-person variability in pain over time, endometriosis-affected tasks of daily function, and self-management strategies. We analyzed data from 4,389 patients identified through a large metropolitan hospital EHR to compare pain problems with the self-tracking app and to identify unique data elements that can be contributed via patient self-tracking. RESULTS Pelvic pain was the most prevalent problem in the self-tracking sample (57.3%), followed by gastrointestinal-related (55.9%) and lower back (49.2%) pain. Unique problems that were captured by self-tracking included pain in ovaries (43.7%) and uterus (37.2%). Pain experience was highly variable both across and within participants over time. Within-person variation accounted for 58% of the total variance in pain scores, and was large in magnitude, based on the ratio of within- to between-person variability (0.92) and the intraclass correlation (0.42). Work was the most affected daily function task (49%), and there was significant within- and between-person variability in self-management effectiveness. Prevalence rates in the EHR were significantly lower, with abdominal pain being the most prevalent (36.5%). CONCLUSION For enigmatic diseases, patient self-tracking as an additional data source complementary to EHR can enable learning from the patient to more accurately and comprehensively evaluate patient health history and status.
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Affiliation(s)
- Ipek Ensari
- Data Science Institute, Columbia University, New York, New York, United States
| | - Adrienne Pichon
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States
| | - Sharon Lipsky-Gorman
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States
| | - Suzanne Bakken
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States
- Columbia School of Nursing, Columbia University, New York, New York, United States
| | - Noémie Elhadad
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States
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