OpenMRS Evidence Hub

OpenMRS Evidence Hub

Help us improve our Evidence Hub! Have you written a published paper about OpenMRS? Know of one that's not listed here? Add it!

 

  1. Decide if you want to contribute just a few times or regularly.

    1. If you just want to contribute right away: You can use this search query on Google Scholar to start finding publications that mention OpenMRS. You are welcome to use other academic search tools instead (such as PubMed); the reason we recommend Google Scholar is we find that this helps us discover mentions from LMIC-based authors whose work may not otherwise appear in academic search tools that favor journals from higher-income settings.

    2. If you want to regularly contribute: Sign up for Google Scholar alerts to your inbox at https://scholar.google.com/scholar_alerts 3. Use the search term “openmrs”. This ensures that you will get an email alert for any article that mentions “openmrs” or a similar term. Then when you receive automated email alerts, review the email. (Sometimes it is a false-alarm - e.g. sometimes you’ll get alerts for a totally unrelated system called “openMS”. You can ignore these.)

  2. Review the publication: If the alert looks like it really involves OpenMRS, open up the publication and see if it looks like it is from a legitimate source (such as a formal journal, reputable conference, or other trusted source like a Ministry of Health or implementing organization). Then, see if the article actually mentions anything of substance about OpenMRS. For example, if the article only mentions OpenMRS as a source in a footnote, this is not sufficient to be added to our Evidence page. The article should contribute some interesting knowledge to the OpenMRS community of implementers, developers, or researchers. Sometimes the article might be about some particular disease research, or open source processes, or eHealth leadership, or even cybersecurity practices.

  3. Add to the Wiki page following the table template.

    • The most important part here is the “Themes” so that people can quickly find articles of interest to them, or at least, proof that OpenMRS has had impact in multiple areas. (For example, in the past there was a myth that OpenMRS was only for HIV care (incorrect!), so it was important for us to show articles from other disease areas, such as Oncology, Endocrinology, and more.)

    • Use APA formatting (guidelines here, free generator here), as this is often the formatting standard that healthcare researchers expect, and thus communicates professionalism.

  4. Bonus: If you thought the article had an extra interesting quote or general finding, share that quote or note in the table for easy reference!

This page is our online repository of the many studies conducted exploring OpenMRS. Collectively, these studies provide strong evidence for a variety of use cases: the impact of EMR use on care, secondary data use for site or regional or global program guidelines improvement, and the community open source model. The OpenMRS Community maintains the OpenMRS Evidence Base and adds new studies as they are discovered.

Over 4,050 publications are noted online involving OpenMRS - search query here.

Note

This page began in August 2023. We are communally updating this with the thousands of articles published on OpenMRS, strongly prioritizing recent articles from within the last few years.

Category

Citation

APA formatting preferred

Year

Country

Reference Key

URL

Misc. Notes

Category

Citation

APA formatting preferred

Year

Country

Reference Key

URL

Misc. Notes

Cervical Cancer

Implementation

Sibomana, H., Ukwishaka, J., Mtenga, H., Luoga, O., Acosta, D., Fisher-Borne, M., ... & Hildebrand, M. R. (2025). Evaluating the Outcomes of Digital Health Solutions for Human Papilloma Virus Vaccination and Cervical Cancer Services in Rwanda: A Mixed-Method Study. Rwanda Medical Journal, 82(1), 48-59.

2025

Rwanda

Sibomana, 2025

PDF

Study showing mUzima mobile app intergrated with OpenMRS used in over 28 district hospitals and two referral centres for cervical cancer services, which led to Rwanda’s screening coverage rise from 1% to 16% between 2018–2023

ANC

 

Machine Learning

Sylvain, M. H., Nyabyenda, E. C., Uwase, M., Komezusenge, I., Ndikumana, F., & Ngaruye, I. (2025). Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda. BMC Medical Informatics and Decision Making, 25, 76.

2025

Rwanda

Sylvain, 2025

https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-025-02921-z

Patient data here was captured in the Ministry’s OpenMRS based system across 25 hospitals to train Random Forest and Gradient Boosting models that predicted adverse pregnancy outcomes with up to 90.6 % accuracy (ROC‑AUC 0.85), highlighting OpenMRS as a critical source for data‑driven, high‑risk pregnancy identification

Development

 

Machine Learning

Chowdhury, S. (2025). The Good, the Bad, and the Monstrous: Predicting Highly Change-Prone Source Code Methods at Their Inception. ACM Transactions on Software Engineering and Methodology. arXiv preprint arXiv:2408.05704.

2025

Global

Chowdhury, 2025

https://dl.acm.org/doi/abs/10.1145/3715006

​A study introducing a machine learning approach to predict highly change-prone Java methods at their inception, in systems, OpenMRS being one of those studied, helping in identifying and managing volatile code components early in its platform development.​ …so as to enable proactive maintenance.

Implementation

Campbell, E., Bear Don’t Walk IV, O. J., Fraser, H., Gichoya, J., Wagholikar, K. B., Kanter, A. S., ... & Craig, S. (2025). Principles and implementation strategies for equitable and representative academic partnerships in global health informatics research. Journal of the American Medical Informatics Association, ocaf015.

2025

Global

Campbell, 2025

https://academic.oup.com/jamia/advance-article/doi/10.1093/jamia/ocaf015/8011449

A paper by Elizabeth Campbell, Andrew Kanter, among others, where they highlight some core principles for equitable, sustainable global health informatics collaborations… like a local development and leadership while engaging international collaborations for sustainability, scalability with limited funding, among other principles, very useful considerations in Implementations.

Implementation

 

Evaluation

Pognon, P. R., Boima, F., & Mekonnen, Z. A. (2025). Health Workers’ Acceptance and Satisfaction on the Usability of the Digital Health Goods, in Kono District, Sierra Leone. Journal of Multidisciplinary Healthcare, 1067-1079.

2025

Sierra Leone

Pognon, 2025

PDF

This survey of 151 health workers in PIH‑SL‑supported Sierra Leon clinics found that the OpenMRS was used to capture real‑time point‑of‑care patient data having a 72.2 % acceptance and satisfaction mainly due to the system’s perceived ease of use​

HIV, KPs

Ensuring Equitable Access to Quality HIV Care for Key Populations in Complex Sociocultural Settings: Lessons from Nigeria

Abdulsamad Salihu, Ibrahim Jahun, David Olusegun Oyedeji, Wole Fajemisin, Omokhudu Idogho, Samira Shehu, Jennifer Anyanti

2025

Nigeria

Salihu 2025

https://doi.org/10.1101/2025.01.19.25320786

 

Imlementation

 

Evaluation

Manyanye, S., Kapepo, M., Van Belle, J. P., & Mthwasi, G. (2025). Affordances and Constraints of the Open Medical Record System (OpenMRS) for Public Health Services Delivery in Lesotho. Procedia Computer Science, 256, 816-824.

2025

Lesotho

Manyanye, 2025

PDF

 

Continuous Quality Improvement

Implementation

ANC

Jean-Baptiste, M. C., Julmiste, T. M. V., & Ball, E. (2024). Health Information System Strengthening During Antenatal Care in Haiti: Continuous Quality Improvement Study. JMIR Formative Research, 8(1), e55000.

2024

Haiti

Jean-Baptiste, 2024

https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/preprints/preprint-55000-accepted.pdf

​Based on a study in Haiti, where electronic documentation of prenatal visits in the OpenMRS increased from 15% to 89% over nine months. The findings highlight important implementation strategies to increase adoption & electronic visit documentation

IoT

Deep Neural Network

Vital Signs Monitoring

Renold, A. P. (2024). PERS: Personalized environment recommendation system based on vital signs. Egyptian Informatics Journal, 28, 100580.

2024

Global

Renold, 2024

https://www.sciencedirect.com/science/article/pii/S1110866524001439

Findings on the potential of integrating PERS (Personalized Environment Recommendation System), an IoT driven system, with OpenMRS to continuously monitor patients’ vital signs and surrounding environmental conditions to provide personalized environmental adjustment recommendations

Testing

AI

 

LLMs

Chi, J., Wang, X., Huang, Y., Yu, L., Cui, D., Sun, J., & Sun, J. (2024). REACCEPT: Automated Co-evolution of Production and Test Code Based on Dynamic Validation and Large Language Models. arXiv preprint arXiv:2411.11033.

2024

Global

Chi, 2024

https://arxiv.org/abs/2411.11033

Offers a way for systems like OpenMRS to automatically sync its test suite with evolving clinical features using REACCEPT, which leverages experience‑based prompt templates, retrieval‑ augmented generation, and dynamic validation with LLMs to fully automate production–test co‑evolution, achieving a 60.16 % accuracy on updating obsolete test cases

HIS

Health Policy

Evaluation

Bataliack, S., Ebongue, M., Karamagi, H., & Leon, J. (2024). Health data digitalization in Africa: unlocking the potential. COI: 20.500.12592/1icxw0z.

2024

Africa

Bataliack, 2024

PDF

 

A comprehensive evaluation of digital health data systems in Africa and strategic recommendations for standardized, interoperable EMR adoption, OpenMRS being one of the main systems being evaluated with recommendations.

Governance

 

Open Source

 

Sustainability

Yenişen Yavuz, E., Shrivastava, A., Riehle, D., & Putz, F. (2024, November). Governance Practices for Open Source Foundations in the Healthcare Sector. In International Conference on Software Business (pp. 382-397). Cham: Springer Nature Switzerland.

2024

Global

Yenişen, 2024

PDF

https://link.springer.com/chapter/10.1007/978-3-031-85849-9_30

A study on governance best practices across vendor‑led and user‑led open‑source healthcare foundations… with insights that OpenMRS can adopt to enhance its own community‑led governance, board structure, and member engagement processes.

Amazingly OpenMRS excels at most of the areas covered like strategy for financial sustainability, new contributor onboarding, transparency, balancing commercial/open‑source interests, regulatory alignment, community celebration, among others 🚀

Decision- Support

PWDs

Chichaeva, J. (2024). Global Digital Rehabilitation Summit 2024: Human-Centered Innovations and Beoyond.

2024

Cambodia

Chichaeva, 2024

PDF

Highlights the impact of the use of OpenMRS within ICRC’s DCMS in enhancing rehabilitation service delivery and decision-making in low-resource settings, particularily to support PWDs

TB Tuberculosis

Sharifov, R., Nabirova, D., Tilloeva, Z. et al. TB treatment delays and associated risk factors in Dushanbe, Tajikistan, 2019–2021. BMC Infect Dis 24, 1398 (2024).

2024

Tajikistan

Sharifov 2024

 

https://doi.org/10.1186/s12879-024-10265-8

 

Data Interpretation


Nanyonga, S., Medina, P. B., Kozlakidis, Z., Garcia, D. L., Ivanova, D., & Katsaounis, P. (2024). Proliferation, ingestion, and interpretation of health data in low- and middle-income countries (LMICs). In Z. Kozlakidis, A. Muradyan, & K. Sargsyan (Eds.), Digitalization of medicine in low- and middle-income countries (Sustainable Development Goals Series). Springer. https://doi.org/10.1007/978-3-031-62332-5_25

2024

Global

Nanyonga 2024

https://link.springer.com/chapter/10.1007/978-3-031-62332-5_25

This Book Chapter shows how digital health initiatives like OpenMRS are progressing from pilot stages to scalable, integrated healthcare solutions, emphasizing the importance of data proliferation, ingestion, and interpretation for sustainable impact.

Process Optimization

Implementation models

Innovation

Avagyan, A., Minasyan, E., Khachatryan, H., & Gevorgyan, S. (2024). Possible process optimization: Innovative digital health implementation models. In Z. Kozlakidis, A. Muradyan, & K. Sargsyan (Eds.), Digitalization of medicine in low- and middle-income countries (Sustainable Development Goals Series). Springer. https://doi.org/10.1007/978-3-031-62332-5_10

2024

Global

Avagyan 2024

https://link.springer.com/chapter/10.1007/978-3-031-62332-5_10

 

Interoperability

Cyber Security

FHIR

Anantharaman, P., Shapiro, R., Varadharaju, V., & Locasto, M. E. (2024). A study of interoperability in electronic health record software. In Proceedings of the 2024 Workshop on Cybersecurity in Healthcare (HealthSec ’24) (pp. 8). ACM. https://doi.org/10.1145/3689942.3694743

2024

Global

Anantharaman 2024

PDF

FHIR Garden, a tool designed to compare FHIR implementations in EMRs including OpenMRS, identifying parser discrepancies and highlighting vulnerabilities that could impact patient data security.

COVID 19

Remote Health Monitoring

 

Musheghyan, L., Harutyunyan, N., Sikder, A., Reid, M., Zhao, D., Lulejian, A., Dickhoner, J., Andonian, N., Aslanyan, L., Petrosyan, V., Sargsyan, Z., Shekherdimian, S., Dorian, A., & Espinoza, J. (2024). Managing patients with COVID-19 in Armenia using a remote monitoring system: Descriptive study. *JMIR Public Health and Surveillance, 10*, e57703. https://doi.org/10.2196/57703

2024

Armenia

Musheghyan 2024

https://publichealth.jmir.org/2024/1/e57703

This study highlights the effective use of an OpenMRS based system for a remote monitoring and home-based oxygen therapy program (COVID@home) in Armenia, showcasing its potential in resource-limited settings.

Implementation

Clinical Decision-Making

Impact

Bouh, M. M., Hossain, F., Paul, P., et al. (2024). The impact of limited access to digital health records on doctors and their willingness to adopt electronic health record systems. Digital Health, 10. https://doi.org/10.1177/20552076241281626

2024

Bangladesh

Bouh 2024

https://journals.sagepub.com/doi/10.1177/20552076241281626

The study investigates the challenges Bangladeshi doctors face due to limited access to digital health records, affecting their workload and clinical decision-making. It also highlights the impact and efficiency brought in by some OpenMRS-based implementations

Implementation

Uwambajimana, E., Rugirangoga, P., Musabyimana, E., et al. (2024, August 25). Assessment of the use of electronic medical records system and barriers in Rwanda (Version 1) Preprint. Research Square. https://doi.org/10.21203/rs.3.rs-4763866/v1

2024

Rwanda

Uwambajimana 2024

https://www.researchsquare.com/article/rs-4763866/v1

 

Implementation

Interoperability

Architecture

Bakke, S. M. (2024). OpenMRS and Bahmni as an HIS in Ethiopia: Challenges with Integration and Interoperability with DHIS2 (Master's thesis). University of OSLO.

2024

Ethiopia

Bakke 2024

PDF

 

Process optimization

Implementation models

Avagyan, A., Minasyan, E., Khachatryan, H., Gevorgyan, S. (2024). Possible Process Optimization: Innovative Digital Health Implementation Models. In: Kozlakidis, Z., Muradyan, A., Sargsyan, K. (eds) Digitalization of Medicine in Low- and Middle-Income Countries. Sustainable Development Goals Series. Springer, Cham. https://doi.org/10.1007/978-3-031-62332-5_10

2024

Global

Avagyan 2024

https://link.springer.com/chapter/10.1007/978-3-031-62332-5_10

 

Diabetes

Hypertension

User Experience

Ntakirutimana, I., Kayiranga, D., Muhirwa, A., Nkurunziza, E., Sibomana, E., Uwamahoro, A., Igihozo, T., Ndoli, A., Niyonshuti, E., Rwubaka, E., Tuyishime, I., Umutoniwase, E. M., & Mugisha, M. (2024). Nurses' Experience of Using an Electronic Medical Records - OpenMRS Module for the Management of Hypertension and Diabetes in Rwanda: A Qualitative Study. Studies in health technology and informatics, 316, 1048–1052. https://doi.org/10.3233/SHTI240590

2024

Rwanda

Ntakirutimana 2024

https://pubmed.ncbi.nlm.nih.gov/39176970/

Study found the OpenMRS system useful in simplifying patient care and reporting as nurses also could use the system with limited and manageable challenges. . Some barriers related to the use of the system were slowness of the system, turnover of trained users, and some challenges related to system design and navigations.

Water Quality

Epidemiology


Disease Surveillance

Rural

Finkelstein, A. L. (2024). Is Our Water Safe to Drink? A View from Rural Honduras (Publication No. 46199) [Master Essay, University of Pittsburgh].

2024

Rural Honduras

Finkelstein 2024

PDF

Implementation of OpenMRS in San Jose del Negrito, Honduras, for improved disease surveillance and healthcare management. The system is intented to track child growth, prenatal care, and malnutrition and also how they tie to the public water quality.

Implementation

 

HIV

Interoperability

 

Maoeng, M., Bruce, K., Motebang, M., Chen, C. W., Lecher, S., Gadisa, T., Saito, S., & Ntsaba, M. (2024). From Disease Specific to Universal Health Coverage in Lesotho: Successes and Challenges Encountered in Lesotho’s Digital Health Journey. Oxford Open Digital Health. DOI:10.1093/oodh/oqae021

2024

Lesotho

Maoeng 2024

PDF

Highlights opportunities & challenges of scaling/expanding from a system ( Based on OpenMRS Bahmni Distro) that was built to serve only HIV & TB needs, to multiple areas to become functional across all reportable diseases. Shows need for Core elements of digital health systems including governance, security, power, & connectivity to be in place.

Implementation

Quality Improvement

HIV

Fraser H, Mugisha M, Bacher I, Ngenzi J, Seebregts C, Umubyeyi A, Condo J. (2024)
Factors Influencing Data Quality in Electronic Health Record Systems in 50 Health Facilities in Rwanda and the Role of Clinical Alerts: Cross-Sectional Observational Study
JMIR Public Health Surveill 2024;10:e49127
DOI: 10.2196/49127

2024

Rwanda

Fraser 2024

https://publichealth.jmir.org/2024/1/e49127

Study on 50 health facilities (HFs) using OpenMRS, an EHR system that supports HIV care in Rwanda, and performed a data quality evaluation

Implementation

Improvement

 

D. RWEGASIRA et al. (2024), "Deployment and Innovation Processes of Integrated Electronic Medical Record (EMR) System: A Case of University Health Centre Living Lab in Tanzania," 2024 IST-Africa Conference (IST-Africa), Dublin, Ireland, 2024, pp. 1-8, doi: 10.23919/IST-Africa63983.2024.10569206.

2024

Tanzania

Rwegasira 2024

https://ieeexplore.ieee.org/abstract/document/10569206

Challenges identified and development approaches, results, and system implementation benefits, for iCareConnect+, an OpenMRS implementation at University of Dar es Salaam Health Centre living lab.

Maternal Healthcare

M. CHEMISTO et al.(2024). "ICT for Improved Maternal Healthcare in Uganda: A Systematic Literature Review," 2024 IST-Africa Conference (IST-Africa), Dublin, Ireland, 2024, pp. 1-11, doi: 10.23919/IST-Africa63983.2024.10569857.

2024

Uganda

CHEMISTO 2024

https://ieeexplore.ieee.org/abstract/document/10569857

The influence of ICTs on Uganda's maternal health sector development based on the premise that ICTs like OpenMRS, have supported improvements in maternal health services such as antenatal, pregnancy, and postnatal care.

HIV

HIV viral suppression

HIV medication

Implementation

 

Hedima, E. W., Ohieku, J. D., David, E. A., Ikunaiye, N. Y., Nasir, A., Alfa, M. A., Abubakar S., Bwiyam, I. K., & Bitrus, T. Z. (2024).
Evaluation of viral suppression and medication-related burden among HIV-infected adults in a secondary care facility,
Exploratory Research in Clinical and Social Pharmacy, 2024, 100473, ISSN 2667-2766

2024

Nigeria

Hedima 2024

https://www.sciencedirect.com/science/article/pii/S2667276624000702

Study conducted with data collected using Nigeria-OpenMRS revealed that majority of the patients achieved viral suppression with moderate degree of medication-related burden. Proposed Targeted interventions toward younger patients, females and patients with unsuppressed viral loads

Antenatal Care

Quality improvement

Implementation

Casella Jean-Baptiste M, Vital Julmiste T, Ball E (2024). Health Information System Strengthening During Antenatal Care in Haiti: Continuous Quality Improvement Study
JMIR Form Res 2024;8:e55000
DOI: 10.2196/55000

2024

Haiti

Jean-Baptiste 2024

https://formative.jmir.org/2024/1/e55000

Improved data use and quality for antenatal patient care using OpenMRS at Hôpital Universitaire de Mirebalais (Haiti). Zanmi Lasante and Partners In Health

Interoperability

Standards-based

HL7 FHIR

Bacher I, Goodrich M, Kimaina A, Seaton M, Faulkenberry G, Vaish S, Flowers J, Fraser HS. FHIRing up OpenMRS: Architecture, Implementation and Real-World Use-Cases in Global Health. AMIA Jt Summits Transl Sci Proc. 2024 May 31;2024:162-171. PMID: 38827065; PMCID: PMC11141833.

2024

General

Bacher 2024

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11141833/

 

Oncology, Cervical Cancer Screening

User Training

Crawford, E., Hebert, K. S., Gaju, S., Mumukunde, I., Dusengimana, J. M. V., & Hagenimana, M. (2024). Lessons From the Design and Rollout of an Electronic Medical Record System for Cervical Cancer Screening in Rwanda. Global Health: Science and Practice.

2024

Rwanda

Crawford 2024

https://doi.org/10.9745/GHSP-D-23-00469

Also provides helpful history of OpenMRS useage in Rwanda.

“OpenMRS uses a data dictionary concept that makes it easy to customize for different disease programs without having to reprogram, making it ideal for low-resource settings that usually have a challenge of technical expertise to support complex programming tasks.”

HIE, Interoperability

Standards-based

Surveillance

HIV

Oluoch, T., Byiringiro, B., Tuyishime, E., Kitema, F., Ntwali, L., Malamba, S., ... & Remera, E. (2024). Implementation of an HIV Case Based Surveillance Using Standards-Based Health Information Exchange in Rwanda. In MEDINFO 2023—The Future Is Accessible (pp. 875-880). IOS Press.

2024

Rwanda

Oluoch 2024

https://doi.org/10.3233/SHTI231090

 

HIS Leadership

HIS Maturity

eHealth Leaders

Strategy

Vumbugwa, P., Puttkammer, N., Majaha, M., Stampfly, S., Biondich, P., Shivers, J. E., ... & Feldacker, C. (2024). Leveraging Health Information System Maturity Assessments to Guide Strategic Priorities: Perspectives from African Leaders. medRxiv, 2024-02.

2024

General (Africa)

Vumbugwa 2024

https://doi.org/10.1101/2024.02.27.24303453

Extremely helpful quotes from Ministry of Health and HIS sector leaders on the challenges they face. 

Gastroenterology, Hospital

Macatiag IV, J. J., Mariño, B. A. M., Pajes, A. N. N. I., & Yasay, E. B. (2024). Adenoma Detection Rate and Polyp Detection Rate among Gastroenterology Fellows and Consultants in a Tertiary Hospital in the Philippines: A Cross-sectional Study. Acta Medica Philippina.

2024

Philippines

Macatiag 2024

https://doi.org/10.47895/amp.vi0.8395

Data from the OpenMRS system used at a tertiary hospital in the Philippines was used to assess Adenoma and Polyp Detection rates. 

Mental Health

Rural, Urban, Slum

Adult, Adolescent

Kallakuri, S., Gara, S., Godi, M., Yatirajula, S. K., Paslawar, S., Daniel, M., ... & Maulik, P. K. (2024). Learnings From Implementation of Technology-Enabled Mental Health Interventions in India: Implementation Report. JMIR Medical Informatics12, e47504.

2024

India

Kallakuri 2024

https://doi.org/10.2196/47504

Multiple mobile apps were used throughout different contexts (rural, urban; adult, adolescent) in India to evaluate mental health. All tools were actually built on OpenMRS.  

Implementation

Infrastructure

HIV

Njuba, L., Gómez‐Morantes, J. E., Herrera, A., & Camacho, S. (2024). Health information systems in extreme contexts: Using mobile phones to fight AIDS in Uganda. The Electronic Journal of Information Systems in Developing Countries, e12314.

2024

Uganda

Njuba 2024

https://doi.org/10.1002/isd2.12314

Excellent review of how OpenMRS has been used for HIV care in Uganda, and implementation details. 

Insightful Quote: "In the KHCIV ART clinic alone, (before) the OpenMRS (system) was introduced, there was a large room full of paper files of HIV patients missing from care, with only 23% of patients active in the program, meaning that the remaining 77% have been lost in care, died, or migrated."

Privacy

Regulation Compliance

Code Review

Tang, F., & Østvold, B. M. (2024). Finding Privacy-relevant Source Code. arXiv preprint arXiv:2401.07316.

2024

Global

Tang 2024

https://doi.org/10.48550/arXiv.2401.07316

Their study revealed that only 3.9% of the total OpenMRS codebase is made up of methods that are privacy-relevant and involved in personal data processing. This result highlights the precision of their approach in pinpointing privacy-relevant methods in applications.

Open Source eHealth

Haines, N. (2024). Sustainable Translation of Digital Health Technologies. Wellcome Open Res9(19), 19.

2024

Global

Haines 2024

https://doi.org/10.21955/wellcomeopenres.1115374.1

Helpful background on OpenMRS and comparison with other well known Open Source digital health solutions. 

Implementation

Infrastructure

HIV

Lober, W. B., Quiles, C., Wagner, S., Cassagnol, R., Lamothes, R., Alexis, D. R. P., Sutton, P., & Puttkammer, N. Three Years Experience with the Implementation of a Networked Electronic Medical Record in Haiti.

2024

Haiti

Lober 2024

PDF



CyberSecurity

Payment Fraud Prevention

Saranya, A., Naresh, R., Karuppiah, S., & Jenifer, M. (2024). Development of trust-based authorization and authentication framework for secure electronic health payment in cloud environment. Soft Computing, 1-16.

2024

Global

Saranya 2024

https://link.springer.com/article/10.1007/s00500-023-09514-w



Health Information System Strengthening

Continuous Quality Improvement Study

Casella Jean-Baptiste M, Vital Julmiste T, Ball E. (2024) Health Information System Strengthening During Antenatal Care in Haiti: Continuous Quality Improvement Study
JMIR Form Res 2024;8:e55000
DOI: 10.2196/55000

2024

Haiti

Casella 2024

https://formative.jmir.org/2024/1/e55000/

Study on how to improve electronic data collection as well as the transition from paper to electronic documentation within a burgeoning health care systems.

Distributed Software Development

OpenMRS version 1 (O1)

HISP India

Krishna, S. (2023). Challenges and Solutions in Distributed Software Development: A case study from India on Hospital Information System built on OpenMRS framework. Reprosentralen, University of Oslo, Autumn 2023.

2023

India

Krishna 2023

https://www.duo.uio.no/bitstream/handle/10852/108527/5/Srinivas-Krishna-Master-Thesis---Final.pdf

Review of OpenMRS version 1 platform, useage in India by the HISP India team, visits at multiple healthcare sites in India, and challenges faced by software teams engaged in georgraphically distributed software development. 

Health information exchange HIE; Data quality; Viral load

Aniekwe, C., Cuffe, K., Audu, I., Nalda, N., Ibezim, B., Nnakwe, M., ... & Shrivastava, R. (2023). Assessing the effect of electronic health information exchange on the completeness and validity of data for measuring viral load testing turnaround time in Nigeria. International Journal of Medical Informatics, 174, 105059.

2023

Nigeria

Aniekwe 2023

https://doi.org/10.1016/j.ijmedinf.2023.105059

Demonstrated evidence of significant improvement in the quality of data available to measure viral load turnaround time with the implementation of HIE

COVID

HIV

Healthcare Workers

De Schacht C, Nhacule E, Belo C on behalf of the COVIV Study Collaborative Group, et al. Measuring the burden of SARS-CoV-2 infection among persons living with HIV and healthcare workers and its impact on service delivery in Mozambique: protocol of a prospective cohort studyBMJ Open 2023;13:e068988. 

2023

Mozambique

De Schacht 2023

10.1136/bmjopen-2022-068988 



PHC Primary Health Care

Kumar, Rajesh. Application of digital technologies in primary healthcare: Opportunities & challenges. Indian Journal of Medical Research 157(4):p 276-279, April 2023. | DOI: 10.4103/ijmr.ijmr_3056_21 

2023

India

Kumar 2023

10.4103/ijmr.ijmr_3056_21  



Machine Learning

Deduplication

Dixon, A., Thengo, L., Kitsao, E., Matiya, K., Barasa, M., Nyirongo, R., ... & Mbae, S. (2023). Community and Facility Health Information System Integration in Malawi: A Comparison of Machine Learning and Probabilistic Record Linkage Methods. ACM Journal on Computing and Sustainable Societies.

2023

Malawi

Dixon 2023

https://doi.org/10.1145/3624773 



Accessibility

Visual Impairment

Human-Computer Interaction (HCI)

OpenMRS v2

Moncy, M. M., Pilli, M., Somasundaram, M., Purkayastha, S., & Fulton, C. R. (2023). Evaluation of accessibility of open-source EHRs for visually impaired users. arXiv preprint arXiv:2311.02531.

2023

General

Moncy 2023

https://arxiv.org/abs/2311.02531#:~:text=https%3A//doi.org/10.48550/arXiv.2311.02531 



HIV ARV

Retention, Resistance

Joaquim, L., Miranda, M. N., Pimentel, V., Martins, M. D. R. O., Nhampossa, T., Abecasis, A., & Pingarilho, M. (2023). Retention in Care and Virological Failure among Adult HIV-Positive Patients on First-Line Antiretroviral Treatment in Maputo, Mozambique. Viruses, 15(10), 1978.

2023

Mozambique

Joaquim 2023

https://doi.org/10.3390/v15101978 



Anemia / Anaemia

Anton-Vazquez V, Mnzava D, Okuma J, Mlembe S, Lo Riso L, Sanchez JM, et al. (2023) Improving anaemia diagnosis using peripheral blood smear with remote interpretation in adults living with HIV with moderate to severe anaemia: A prospective study nested within the Kilombero and Ulanga antiretroviral cohort. PLoS ONE 18(10): e0293084. 

2023

Tanzania

Anton-Vazquez 2023

https://doi.org/10.1371/journal.pone.0293084



EMR

IPV, GBV

HIV Index Case Testing (ICT)

Mbah, Rogers, Honoré, Ngend. A Review of Index Case Testing Induced Intimate Partner Violence and Electronic Management of Information in HIV Care. xx (2023). 

2023

Cameroon

Mbah 2023

10.4236/etsn.2023.124005 

Recommendations: • Data tools for HIV AIDS should integrate IPV indicators. • Include management of IPV survivors in existing EMR systems. • Develop more comprehensive EMRs that include complete care continua, especially for low-income settings. • Countries with limited resources should consider OPENMRS to implement EMR. • Screening for IPV among HIV patients should be scaled up to reduce IPV incidence. • IPV counseling services should be offered post-HIV test counseling to control IPV incidence rates.

Interoperability

Standards

Mehmood, N.Q., Mahfooz, S.Z., Faroom, S. et al. Usability evaluation of interoperability interfaces in electronic medical record systems. Health Serv Outcomes Res Method (2023). https://doi.org/10.1007/s10742-023-00312-3

2023

General

Mehmood 2023

https://link.springer.com/article/10.1007/s10742-023-00312-3



Open Source

EMR

ICD 10

Capacity Building

Mougou, S. (2023). Building Stronger Healthcare in Tunisia: EHR Implementation with Open Software and Local Capacity Building. In Open Infrastructure Fund/Fondo de Infraestructura Abierta.

2023

Tunisia

Mougou, 2023

https://openreview.net/forum?id=hVPDxT22Ze

Testing three EHR systems to determine their suitability for meeting the requirements discussed by working groups. Assessing the capability to: integrate both clinical data and genomic data; the capacity to incorporate standardized medical vocabulary in both English and French languages; along with its alignment with ICD10 standards

Open Source

Krasodomski-jones, A., & Eaves, D. (2023). Laying the Foundation for the Future: Open Source Sustainability and the Adoption of Digital Public Goods.

2023

General

Krasodomski-jones, 2023

https://policycommons.net/artifacts/3793098/laying-the-foundation-for-the-future/4598925/