Background: Electronic medical records systems (EMRs) adoption in healthcare to facilitate work processes have become common in many countries. Although EMRs are associated with quality patient care, patient safety, and cost reduction, their adoption rates are comparatively low. Understanding factors associated with the use of the implemented EMRs are critical for advancing successful implementations and scale-up sustainable initiatives. The aim of this study was to explore end users' perceptions and experiences on factors facilitating and hindering EMRs use in healthcare facilities in Kenya, a low- and middle-income country.
Methods: Two focus group discussions were conducted with EMRs users (n = 20) each representing a healthcare facility determined by the performance of the EMRs implementation. Content analysis was performed on the transcribed data and relevant themes derived.
Results: Six thematic categories for both facilitators and barriers emerged, and these related to (1) system functionalities; (2) training; (3) technical support; (4) human factors; (5) infrastructure, and (6) EMRs operation mode. The identified facilitators included: easiness of use and learning of the system complemented by EMRs upgrades, efficiency of EMRs in patient data management, responsive information technology (IT) and collegial support, and user training. The identified barriers included: frequent power blackouts, inadequate computers, retrospective data entry EMRs operation mode, lack of continuous training on system upgrades, and delayed IT support.
Conclusions: Users generally believed that the EMRs improved the work process, with multiple factors identified as facilitators and barriers to their use. Most users perceived system functionalities and training as motivators to EMRs use, while infrastructural issues posed as the greatest barrier. No specific EMRs use facilitators and/or barriers could be attributed to facility performance levels. Continuous evaluations are necessary to assess improvements of the identified factors as well as determine emerging issues.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710176 | PMC |
http://dx.doi.org/10.1186/s12911-021-01737-x | DOI Listing |
Clin Orthop Relat Res
January 2025
Department of Medicine, Duke University, Durham, NC, USA.
Background: Rifampin therapy is indicated for the treatment of staphylococcal periprosthetic joint infection (PJI) in patients who have undergone debridement, antibiotics, and implant retention (DAIR) or one-stage revision as per the Infectious Diseases Society of America (IDSA) guideline. Given the well-established effectiveness of rifampin as adjunctive therapy in staphylococcal PJI, it is crucial to evaluate its utilization in practice and identify factors that contribute to its underuse or incomplete administration, as these deviations may undermine treatment efficacy and patient outcomes.
Questions/purposes: Among patients who met clear indications for rifampin use having undergone DAIR or one-stage revision for staphylococcal PJI, (1) what proportion of patients did not receive it? (2) What proportion of patients started it but did not complete the planned course? (3) Where documented in the medical record, what were the common reasons for not using it or prematurely discontinuing it, and in what percentage of the patients' charts was no reason given? (4) What proportion of patients were taking a medication that put them at risk for a drug-drug interaction (DDI)?
Methods: Using an institutional database, patients who underwent DAIR or revision arthroplasty for PJI from January 2013 to April 2023 were identified (n = 935).
Implement Sci
January 2025
Department of Global Health, University of Washington, Seattle, WA, USA.
Background: While key to interpreting findings and assessing generalizability, implementation fidelity is underreported in mobile health (mHealth) literature. We evaluated implementation fidelity of an opt-in, hybrid, two-way texting (2wT) intervention previously demonstrated to improve 12-month retention on antiretroviral therapy (ART) among people living with HIV (PLHIV) in a quasi-experimental study in Lilongwe, Malawi.
Methods: Short message service (SMS) data and ART refill visit records were used to evaluate adherence to 2wT content, frequency and duration through the lens of the Conceptual Framework for Implementation Fidelity.
J Community Hosp Intern Med Perspect
November 2024
Department of Medicine, Ibn e Seena Hospital, Kabul, Afghanistan.
Background: The objective of this article was to explore the use of ChatGPT as a clinical support tool for common arrhythmias.
Methods: This study assessed the feasibility of using ChatGPT as an AI decision-support tool for common rhythm disturbances. The study was conducted using retrospective data collected from electronic medical records (EMRs) of patients with documented rhythm disturbances.
Acta Med Philipp
December 2024
Department of Physics, School of Science and Engineering, Ateneo de Manila University, Quezon City, Philippines.
Background And Objective: The adoption of electronic medical records (EMRs) in the Philippines has been initiated and adjusted since the last decade through the Philippine eHealth Agenda framework. EMRs are known to improve clinical management and have been widely adopted in advanced economies. However, empirical research on EMR implementation remains limited.
View Article and Find Full Text PDFEJIFCC
December 2024
National Reference Laboratory, Abu Dhabi, UAE.
Background: An increasing number of wearable medical devices are being used for personal monitoring and professional health care purposes. These mobile health devices collect a variety of biometric and health data but do not routinely connect to a patient's electronic health record (EHR) or electronic medical record (EMR) for access by a patient's health care team.
Methods: The International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Committee on Mobile Health and Bioengineering in Laboratory Medicine (C-MHBLM) developed consensus recommendations for consideration when interfacing mobile health devices to an EHR/EMR.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!