ReviewCureus2019
Electronic Health Record Implementation: A Review of Resources and Tools.
Review in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 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
27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review.BMJ health & care informatics · 2023Pooled it
- Technological progress in electronic health record system optimization: Systematic review of systematic literature reviews.International journal of medical informatics · 2021Pooled it
- Exploring Technological Solutions for Interoperability Between Patient Electronic Medical Records and Clinical Registries: Scoping Review.Journal of medical Internet research · 2026Article
- Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health records.PLOS digital health · 2026Article
- Tensions in large-scale electronic health record implementations: insights from a meta-synthesis.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review.BMJ open · 2025Article
- Thirty Years of Emergency Medicine in Romania-A Bridge Between the Behavior of Emergency Department Professionals and the Health System Management Strategy: A Survey Study.Journal of clinical medicine · 2025Article
- Strategies to Strengthen Iraq's Primary Healthcare System: A Systematic Literature Review With Special Focus on Society 5.0.Public health challenges · 2025Review
- Establishing Medical Intelligence-Leveraging Fast Healthcare Interoperability Resources to Improve Clinical Management: Retrospective Cohort and Clinical Implementation Study.Journal of medical Internet research · 2024Article
- New horizons in prediction modelling using machine learning in older people's healthcare research.Age and ageing · 2024Article
- Article
- The Paradoxes of Digital Tools in Hospitals: Qualitative Interview Study.Journal of medical Internet research · 2024Article
- Enhancing the Efficiency of a Radiation Oncology Department Using Electronic Medical Records: Protocol for Preparing Radiotherapy.JMIR research protocols · 2024Article
- Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace.Journal of multidisciplinary healthcare · 2024Review
- Review
- Implementation and use of electronic patient records in the Brazilian Air Force: a cross-sectional study1.Revista da Associacao Medica Brasileira (1992) · 2024Article
- The doctor, the patient, and the computer.Clinical hematology international · 2024Article
- Governance of Electronic Health Record Modification at U.S. Academic Medical Centers.Applied clinical informatics · 2023Article
- Improving Patient Outcomes Through Effective Hospital Administration: A Comprehensive Review.Cureus · 2023Review
- The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems.Clinics and practice · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Implementing an electronic health record (EHR) can be a difficult task to take on and planning the process is of utmost importance to minimize errors. Evaluating the selection criteria and implementation plan of an EHR system, intending interoperability, confidentiality, availability, and integrity of the patient health information data, while ensuring timely, accurate, and regulatory compliant generation of reports is a critical task. This article discusses the selection and implementation plan that will primarily consist of assessing existing institutional workflows for each department, and it outlines the necessities and inclinations of the institution to include in the EHR system for the organization to function properly. Resources and tools are included to assist in the selection of the product as well as ideas on how to train staff and evaluate staff readiness. Regulatory requirements are also included for consideration during the initial process. EHR increases the logistic productivity of workflows and offers a safer way to care for patients. To ensure efficiency, there is a series of steps the provider's staff must follow to ensure proper implementation and handling of the EHR system. Before using the implemented EHR, it is recommended to have a testing protocol in place to ensure areas of possible staff confusion are identified and controlled. Using a proper implementation strategy for a new EHR system can facilitate success, minimize delays, and increase health care worker's satisfaction and decrease the chances of usability being compromised.
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.