Evidence map›Paper›PMID 31131143›Full record

ArticleHealthcare informatics research2019

Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria.

Saptarshi Purkayastha, Roshini Allam, Pallavi Maity, Judy W Gichoya

Abstract read
In one paragraph

Article in Healthcare informatics research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Global Health Informatics landscape and JAMIA.Journal of the American Medical Informatics Association : JAMIA · 2023
    Review
  6. Article
  7. Article
  8. Evaluation of accessibility of open-source EHRs for visually impaired users.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
    Article
  9. Review
  10. NTD Health: an electronic medical record system for neglected tropical diseasesBiomedica : revista del Instituto Nacional de Salud · 2022
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Saptarshi PurkayasthaDepartment of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.ORCID https://orcid.org/0000-0003-3625-534X
Roshini AllamDepartment of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.ORCID https://orcid.org/0000-0002-2739-0913
Pallavi MaityDepartment of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.ORCID https://orcid.org/0000-0001-5936-3226
Judy W GichoyaDotter Institute, Oregon Health and Science University, Portland, OR, USA.ORCID https://orcid.org/0000-0002-1097-316X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOpen-source Electronic Health Record (EHR) systems have gained importance. The main aim of our research is to guide organizational choice by comparing the features, functionality, and user-facing system performance of the five most popular open-source EHR systems.

methodsWe performed qualitative content analysis with a directed approach on recently published literature (2012-2017) to develop an integrated set of criteria to compare the EHR systems. The functional criteria are an integration of the literature, meaningful use criteria, and the Institute of Medicine's functional requirements of EHR, whereas the user-facing system performance is based on the time required to perform basic tasks within the EHR system.

resultsBased on the Alexa web ranking and Google Trends, the five most popular EHR systems at the time of our study were OSHERA VistA, GNU Health, the Open Medical Record System (OpenMRS), Open Electronic Medical Record (OpenEMR), and OpenEHR. We also found the trends in popularity of the EHR systems and the locations where they were more popular than others. OpenEMR met all the 32 functional criteria, OSHERA VistA met 28, OpenMRS met 12 fully and 11 partially, OpenEHR-based EHR met 10 fully and 3 partially, and GNU Health met the least with only 10 criteria fully and 2 partially.

conclusionsBased on our functional criteria, OpenEMR is the most promising EHR system, closely followed by VistA. With regards to user-facing system performance, OpenMRS has superior performance in comparison to OpenEMR.

Indexed as

ClinicalDecision Support SystemsElectronic Health RecordElectronic PrescribingMedical Order Entry Systems

Identifiers

PMID31131143
PMCPMC6517630

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.