ArticleJMIR medical informatics2017
Health Information Technology (HIT) Adaptation: Refocusing on the Journey to Successful HIT Implementation.
Article in JMIR medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis.Journal of medical Internet research · 2025Pooled it
- Getting Connected to M-Health Technologies through a Meta-Analysis.International journal of environmental research and public health · 2023Pooled it
- Health Care Professionals' Experiences of Patient-Professional Communication Over Patient Portals: Systematic Review of Qualitative Studies.Journal of medical Internet research · 2020Pooled it
- Automated Waitlists for Ambulatory Appointment Scheduling: Multisite, Mixed Methods Evaluation.Journal of medical Internet research · 2026Article
- Evaluating Clinical Staff Perceptions of EHR Usability, Satisfaction, and Adaptation to a New EHR: A Multisite, Pre-Post Implementation Study.Applied clinical informatics · 2025Article
- Epidemiology of Colon Cancer Screening in a Safety-Net Setting.AJPM focus · 2025Article
- Bridging Global Frameworks and Local Practice: Quantitative Evaluation of Electronic Health Record Safety in Kuwait's Public Hospitals.JMIR medical informatics · 2025Article
- Implementation of Health IT for Cancer Screening in US Primary Care: Scoping Review.JMIR cancer · 2024Article
- Real-World Evaluation of an Automated Algorithm to Detect Patients With Potentially Undiagnosed Hypertension Among Patients With Routine Care in Hawai'i.Journal of the American Heart Association · 2023Article
- Barriers and facilitators of using health information technologies by women: a scoping review.BMC medical informatics and decision making · 2023Article
- The digital divide: Racial disparities in adoption and utilization of health information technology among patients with lymphoid cancers.Cancer medicine · 2023Article
- Implementation of Health Information Systems to Improve Patient Identification.International journal of environmental research and public health · 2022Article
- Translating Data Analytics Into Improved Spine Surgery Outcomes: A Roadmap for Biomedical Informatics Research in 2021.Global spine journal · 2022Article
- Context-specific adaptation of an eHealth-facilitated, integrated care model and tailoring its implementation strategies-A mixed-methods study as a part of the SMILe implementation science project.Frontiers in health services · 2022Article
- Assessing Health Data Security Risks in Global Health Partnerships: Development of a Conceptual Framework.JMIR formative research · 2021Article
- Personal Electronic Records of Medications (PERMs) for medication reconciliation at care transitions: a rapid realist review.BMC medical informatics and decision making · 2021Review
- Medical Specialists' Perspectives on the Influence of Electronic Medical Record Use on the Quality of Hospital Care: Semistructured Interview Study.JMIR human factors · 2021Article
- Supporting Clinicians to Use Technology to Deliver Highly Personalized and Measurement-Based Mental Health Care to Young People: Protocol for an Evaluation Study.JMIR research protocols · 2021Article
- Electronic clinical decision support for children with minor head trauma and intracranial injuries: a sociotechnical analysis.BMC medical informatics and decision making · 2021Article
- Nursing Attitudes and Practices in Code Documentation Employing a New Electronic Health Record.Applied clinical informatics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
In past years, policies and regulations required hospitals to implement advanced capabilities of certified electronic health records (EHRs) in order to receive financial incentives. This has led to accelerated implementation of health information technologies (HIT) in health care settings. However, measures commonly used to evaluate the success of HIT implementation, such as HIT adoption, technology acceptance, and clinical quality, fail to account for complex sociotechnical variability across contexts and the different trajectories within organizations because of different implementation plans and timelines. We propose a new focus, HIT adaptation, to illuminate factors that facilitate or hinder the connection between use of the EHR and improved quality of care as well as to explore the trajectory of changes in the HIT implementation journey as it is impacted by frequent system upgrades and optimizations. Future research should develop instruments to evaluate the progress of HIT adaptation in both its longitudinal design and its focus on adaptation progress rather than on one cross-sectional outcome, allowing for more generalizability and knowledge transfer.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.