scholarly journals Impact of sharing electronic health records with patients on the quality and safety of care: a systematic review and narrative synthesis protocol

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e020387 ◽  
Author(s):  
Ana Luisa Neves ◽  
Alexander W Carter ◽  
Lisa Freise ◽  
Liliana Laranjo ◽  
Ara Darzi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Quality Of Care ◽  
Electronic Health Records ◽  
Analytical Framework ◽  
The Body ◽  
Narrative Synthesis ◽  
Health Records ◽  
Electronic Health ◽  
The Impact

IntroductionProviding patients with access to electronic health records (EHRs) has emerged as a promising solution to improve quality of care and safety. As the efforts to develop and implement EHR-based data sharing platforms mature and scale up worldwide, there is a need to evaluate the impact of these interventions and to weigh their relative risks and benefits, in order to inform evidence-based health policies. The aim of this work is to systematically characterise and appraise the demonstrated benefits and risks of sharing EHR with patients, by mapping them across the six domains of quality of care of the Institute of Medicine (IOM) analytical framework (ie, patient-centredness, effectiveness, efficiency, timeliness, equity and safety).Methods and analysisCINAHL, Cochrane, Embase, HMIC, Medline/PubMed and PsycINFO databases will be searched from January 1997 to August 2017. Primary outcomes will include measures related with the six domains of quality of care of the IOM analytical framework. The quality of the studies will be assessed using the Cochrane Risk of Bias Tool, the ROBINS-I Tool and the Drummond’s checklist. A narrative synthesis will be conducted for all included studies. Subgroup analysis will be performed by domain of quality of care domain and by time scale (ie, short-term, medium-term or long-term impact). The body of evidence will be summarised in a Summary of Findings table and its strength assessed according to the GRADE criteria.Ethics and disseminationThis review does not require ethical approval as it will summarise published studies with non-identifiable data. This protocol complies with the Preferred Reporting Items for Systematic Review and Meta-Analyses Protocols guidelines. Findings will be disseminated widely through peer-reviewed publication and conference presentations, and patient partners will be included in summarising the research findings into lay summaries and reports.PROSPERO registration numberCRD42017070092.

scholarly journals Electronic Health Records, Interoperability and Patient Safety in Health Systems of High-income Countries: A Systematic Review Protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e044941
Author(s):  
Edmond Li ◽  
Jonathan Clarke ◽  
Ana Luisa Neves ◽  
Hutan Ashrafian ◽  
Ara Darzi
Keyword(s):  
Systematic Review ◽  
Patient Safety ◽  
Electronic Health Records ◽  
Health Systems ◽  
Risk Of Bias ◽  
High Income ◽  
The Body ◽  
Health Records ◽  
Electronic Health ◽  
The Impact

IntroductionThe availability and routine use of electronic health records (EHRs) have become commonplace in healthcare systems of many high-income countries. While there is an ever-growing body of literature pertaining to their use, evidence surrounding the importance of EHR interoperability and its impact on patient safety remains less clear. There is, therefore, a need and opportunity to evaluate the evidence available regarding this relationship so as to better inform health informatics development and policies in the years to come. This systematic review aims to evaluate the impact of EHR interoperability on patient safety in health systems of high-income countries.Methods and analysisA systematic literature review will be conducted via a computerised search through four databases: PubMed, Embase, Health Management Information Consortium and PsycInfo for relevant articles published between 2010 and 2020. Outcomes of interest will include impact on patient safety and the broader effects on health systems. Quality of the randomised quantitative studies will be assessed using Cochrane Risk of Bias Tool. Non-randomised papers will be evaluated with the Risk of Bias In Non-Randomised Studies—of Interventions tool. Drummond’s Checklist will be used for publications pertaining to economic evaluation. The National Institute for Health and Care Excellence quality appraisal checklist will be used to assess qualitative studies. A narrative synthesis will be conducted for included studies, and the body of evidence will be summarised in a summary of findings table.Ethics and disseminationThis review will summarise published studies with non-identifiable data and, thus, does not require ethical approval. Findings will be disseminated through preprints, open access peer-reviewed publications, and conference presentations.PROSPERO registration numberCRD42020209285.

scholarly journals The impact of electronic health records on healthcare quality: a systematic review and meta-analysis

2015 ◽  
Vol 26 (1) ◽  
pp. 60-64 ◽  
Author(s):  
Paolo Campanella ◽  
Emanuela Lovato ◽  
Claudio Marone ◽  
Lucia Fallacara ◽  
Agostino Mancuso ◽  
...  
Keyword(s):  
Systematic Review ◽  
Electronic Health Records ◽  
Meta Analysis ◽  
Healthcare Quality ◽  
Health Records ◽  
Electronic Health ◽  
The Impact

scholarly journals THE IMPACT OF MEETING ACCREDITATION STANDARDS ON THE QUALITY OF THE ELECTRONIC HEALTH RECORDS

2020 ◽  
pp. 114-117
Author(s):  
MOHAMED HOSSAM ATTIA ◽  
ABDELNASSER IBRAHIM
Keyword(s):  
Electronic Health Records ◽  
Patient Information ◽  
Medical Records ◽  
Simple Random Sample ◽  
Health Records ◽  
Entire Study ◽  
Before And After ◽  
Electronic Health ◽  
The Impact

Objective: Electronic health records (EHRs) are considered a way to make the management of patient information easier, improve efficiency, and decrease costs related to medical information management. Compliance with requirements from accreditation bodies on quality of documentation ensures the complete and accurate patient information in the EHR. The purpose of this study is to measure the effect of quality accreditation on the quality of documentation in the EHR. Methods: A simple random sample of 18% of patient records was manually selected each month during the entire study period from the population of discharged patients. The auditing process included 18 months starting from January 2014 until June 2015. The data collection was performed by a quality management unit using a modified medical record completeness checklist adapted from Joint Commission International (JCI) criteria. Results: The results of the study show the improvement in compliance with complete medical records’ documentation after the JCI accreditation. However, after the accreditation, the compliance suffers a dramatic fall which could be referred to the post-accreditation slump. The compliance then improved again to reach higher levels of compliance. Using paired t-test, the mean of total compliance with complete and accurate medical records in October 2014 was less than in May 2015. Conclusion: This study highlighted the performance of one process before and after the first accreditation of the organization showing the real difference between the performance before and after the accreditation and explaining the drop that happened just after the accreditation.

scholarly journals Electronic Health Records and Quality of Care

Medicine ◽  
2016 ◽  
Vol 95 (19) ◽  
pp. e3332 ◽  
Author(s):  
Swati Yanamadala ◽  
Doug Morrison ◽  
Catherine Curtin ◽  
Kathryn McDonald ◽  
Tina Hernandez-Boussard
Keyword(s):  
Quality Of Care ◽  
Electronic Health Records ◽  
Health Records ◽  
Electronic Health
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