The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Benefits and challenges of EMR implementations in low resource settings: a state-of-the-art review
Open accessPublished version of a preprint
Abstract
BACKGROUND: The intent of this review is to discover the types of inquiry and range of objectives and outcomes addressed in studies of the impacts of Electronic Medical Record (EMR) implementations in limited resource settings in sub-Saharan Africa. METHODS: A state-of-the-art review characterized relevant publications from bibliographic databases and grey literature repositories through systematic searching, concept-mapping, relevance and quality filter optimization, methods and outcomes categorization and key article analysis. RESULTS: From an initial population of 749 domain articles published before February 2015, 32 passed context and methods filters to merit full-text analysis. Relevant literature was classified by type (e.g., secondary, primary), design (e.g., case series, intervention), focus (e.g., processes, outcomes) and context (e.g., location, organization). A conceptual framework of EMR implementation determinants (systems, people, processes, products) was developed to represent current knowledge about the effects of EMRs in resource-constrained settings and to facilitate comparisons with studies in other contexts. DISCUSSION: This review provides an overall impression of the types and content of health informatics articles about EMR implementations in sub-Saharan Africa. Little is known about the unique effects of EMR efforts in slum settings. The available reports emphasize the complexity and impact of social considerations, outweighing product and system limitations. Summative guides and implementation toolkits were not found but could help EMR implementers. CONCLUSION: The future of EMR implementation in sub-Saharan Africa is promising. This review reveals various examples and gaps in understanding how EMR implementations unfold in resource-constrained settings; and opportunities for new inquiry about how to improve deployments in those contexts.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Many of the challenges faced by integrating electronic medical records in LMICs, for example, are likely to also impede AI applications, including limited funding, poor infrastructure for reliably delivering technologies, and discontinuous participation from users (12).”
From Artificial intelligence for global health (2019) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A typology of reviews: an analysis of 14 review types and associated methodologies
Grant, M. J., & Booth, A. (2009) · Health Information & Libraries Journal · doi:10.1111/j.1471-1842.2009.00848.x · Cited by 10,817
e-Health technologies show promise in developing countries
Blaya, J. A., Fraser, H. S. F., & Holt, B. (2010) · Health Affairs · doi:10.1377/hlthaff.2009.0894 · Cited by 581
Implementing electronic medical record systems in developing countries
Fraser, H., Biondich, P., Moodley, D., Choi, S. S., Mamlin, B. W., & Peter Szolovits, B. (2005) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v13i2.585 · Cited by 298
Williams, F., & Boren, S. A. (2008) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v16i2.685 · Cited by 204
(2006) · PubMed Central · Cited by 166
Rotich, J. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1301 · Cited by 155
Use of Electronic Health Records in sub-Saharan Africa: Progress and challenges.
Akanbi, M. O., Ocheke, A. N., Agaba, P. A., Daniyam, C. A., Agaba, E. I., Okeke, E. N., & Ukoli, C. O. (2012) · PubMed · Cited by 134
Fritz, F., Tilahun, B., & Dugas, M. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocu038 · Cited by 131 · cited 3×
“Since completing the literature review, two new contributions have appeared [35, 36].”
BackgroundTierney, W. M., Rotich, J., Hannan, T., Siika, A. M., Biondich, P., Mamlin, B. W., Nyandiko, W. M., Kimaiyo, S. N., Wools‐Kaloustian, K., Sidle, J. E., et al. (2007) · PubMed · Cited by 109
Kamadjeu, R. M., Tapang, E. M., & Moluh, R. N. (2005) · Journal of Innovation in Health Informatics · doi:10.14236/jhi.v13i3.595 · Cited by 92
Research works printed but not linked: 1
- Talisuna S. Electronic medical records and same-day patient tracing improves clinic efficiency and adherence to appointments in a community-based HIV/AIDS care program in Uganda [abstract]. 7th International Conference on HIV Treatment and Prevention Adherence, 2012. Accessed 7 Jan 2015.
Cited by
Sorted by citations
Artificial intelligence for global health
Hosny, A., & Aerts, H. J. W. L. (2019) · Science · doi:10.1126/science.aay5189 · Cited by 177
Yang, Z., Xu, X., Yao, B., Rogers, E., Zhang, S., Intille, S., Shara, N., Gao, G. G., & Wang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3659625 · Cited by 120
Open-Source Electronic Health Record Systems for Low-Resource Settings: Systematic Review
Syzdykova, A., Malta, A., Zolfo, M., Diro, E., & Oliveira, J. L. (2017) · JMIR Medical Informatics · doi:10.2196/medinform.8131 · Cited by 95
Artificial Intelligence in Global Health —A Framework and Strategy for Adoption and Sustainability
Hadley, T. D., Pettit, R. W., Malik, T., Khoei, A. A., & Salihu, H. M. (2020) · International Journal of Maternal and Child Health and AIDS · doi:10.21106/ijma.296 · Cited by 75
The impact of routine data quality assessments on electronic medical record data quality in Kenya
Muthee, V., Bochner, A. F., Osterman, A., Liku, N., Akhwale, W., Kwach, J., Prachi, M., Wamicwe, J., Odhiambo, J., Onyango, F., et al. (2018) · PLOS ONE · doi:10.1371/journal.pone.0195362 · Cited by 64
Muinga, N., Magare, S., Monda, J., Kamau, O., Houston, S., Fraser, H., Powell, J., English, M., & Paton, C. (2018) · JMIR Medical Informatics · doi:10.2196/medinform.8403 · Cited by 116
Blockchains for Secure Digitized Medicine
Shuaib, K., Saleous, H., Shuaib, K., & Zaki, N. (2019) · Journal of Personalized Medicine · doi:10.3390/jpm9030035 · Cited by 62
Bisrat, A., Minda, D., Assamnew, B., Abebe, B., & Abegaz, T. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01670-z · Cited by 56
A framework for analysing learning health systems: Are we removing the most impactful barriers?
McLachlan, S., Dube, K., Johnson, O. A., Buchanan, D., POTTS, H. W. W., Gallagher, T., & Fenton, N. (2019) · Learning Health Systems · doi:10.1002/lrh2.10189 · Cited by 52
deRiel, E., Puttkammer, N. H., Hyppolite, N., Diallo, J. O., Wagner, S., Honoré, J. G., Balan, J. G., Celestin, N., Valles, J. S., Duval, N., et al. (2017) · Health Policy and Planning · doi:10.1093/heapol/czx171 · Cited by 47
Electronic health records for better health in the lower- and middle-income countries
Kumar, M., & Mostafa, J. (2020) · Library Hi Tech · doi:10.1108/lht-09-2019-0179 · Cited by 45
Thomford, N. E., Bope, C. D., Agamah, F. E., Dzobo, K., Ateko, R. O., Chimusa, E. R., Mazandu, G. K., Ntumba, S. B., Dandara, C., & Wonkam, A. (2019) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2019.0142 · Cited by 45
Kumar, M., & Mostafa, J. (2019) · The International Journal of Health Planning and Management · doi:10.1002/hpm.2754 · Cited by 43
Dakhil, Z. A., Cader, F. A., & Banerjee, A. (2024) · Global Heart · doi:10.5334/gh.1293 · Cited by 41
Advances and Challenges in Low-Resource-Environment Software Systems: A Survey
Agbeyangi, A. O., & Suleman, H. (2024) · Informatics · doi:10.3390/informatics11040090 · Cited by 56
Gyamfi, A., Mensah, K. A., Oduro, G. D., Donkor, P., & Mock, C. (2017) · African Journal of Emergency Medicine · doi:10.1016/j.afjem.2017.05.002 · Cited by 37
Bostan, S., Johnson, O. A., Jaspersen, L. J., & Randell, R. (2024) · Journal of Medical Internet Research · doi:10.2196/45242 · Cited by 44
Konduri, N., Aboagye-Nyame, F., Mabirizi, D., Hoppenworth, K., Kibria, M. G., Doumbia, S., Williams, L., & Mazibuko, G. (2018) · Digital Health · doi:10.1177/2055207618771407 · Cited by 34
Growth of young HIV-infected and HIV-exposed children in western Kenya: A retrospective chart review
McHenry, M. S., Apondi, E., Ayaya, S., Yang, Z., Li, W., Tu, W., Bi, G., Sang, E., & Vreeman, R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0224295 · Cited by 33
Ngugi, P., Were, M. C., & Babić, A. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01737-x · Cited by 45
Doty, B., Bass, J., Ryan, T., Zhang, A. W., & Wilcox, H. C. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-055000 · Cited by 30
Liang, L., Wiens, M. O., Lubega, P., Spillman, I., & Mugisha, S. (2018) · JMIR Formative Research · doi:10.2196/formative.9658 · Cited by 24
Factors associated with the utilization of electronic medical records in the Eastern Region of Ghana
Essuman, L. R., Apaak, D., Ansah, E. W., Sambah, F., Ansah, J. E., Opare, M., & Ahinkorah, B. O. (2020) · Health Policy and Technology · doi:10.1016/j.hlpt.2020.08.002 · Cited by 24
Reflections on ‘Decolonizing’ Big Data in Global Health
Qato, D. M. (2022) · Annals of Global Health · doi:10.5334/aogh.3709 · Cited by 23
Tolera, A., Oljira, L., Dingeta, T., Abera, A., & Roba, H. S. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.935945 · Cited by 20
An empirical study of the antecedents of data completeness in electronic medical records
Liu, C., Zowghi, D., & Talaei-Khoei, A. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.05.001 · Cited by 21
Stawicki, S. P., Garg, M., Peck, G., Arquilla, B., Miller, A., Soghoian, S., Anderson, H., Bloem, C. M., Firstenberg, M., Galwankar, S., et al. (2017) · International Journal of Critical Illness and Injury Science · doi:10.4103/ijciis.ijciis_65_17 · Cited by 19
Dynamic Clinical Algorithms: Digital Technology Can Transform Health Care Decision-Making
Bell, D., Gachuhi, N., & Assefi, N. P. (2017) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.17-0477 · Cited by 18
Craig, A. T., Lawford, H. L. S., Miller, M., Chen-Cao, L., Woods, L. S., Liaw, S., & Godinho, M. A. (2025) · Journal of Medical Internet Research · doi:10.2196/66288 · Cited by 21
Kleczka, B., Kumar, P. A., Njeru, M. K., Musiega, A., Wekesa, P., Rabut, G., & Marx, M. (2019) · BMJ Global Health · doi:10.1136/bmjgh-2019-001422 · Cited by 18
Rinty, M. R., Prodhan, U. K., & Rahman, M. M. (2021) · Array · doi:10.1016/j.array.2021.100114 · Cited by 17
Barriers to Pediatric Emergency Care in Low-Resource Settings: A Narrative Review
Ahmed, M. M., Oweidat, M. H., Okesanya, O. J., Alaswad, M., Abdelbar, S. M. M., Gill, P., & Alsabri, M. (2025) · Sage Open Pediatrics · doi:10.1177/30502225251336861 · Cited by 22
Ngugi, P., Babić, A., Kariuki, J., Santas, X., Yebei, V. N., & Were, M. C. (2021) · PLoS ONE · doi:10.1371/journal.pone.0244917 · Cited by 19
Ngugi, P., Babić, A., & Were, M. C. (2021) · PLoS ONE · doi:10.1371/journal.pone.0256799 · Cited by 16
Cvetković, V. M., Tanasić, J., Renner, R., Raupenstrauch, H., Rokvić, V., & Berisa, H. (2024) · Healthcare · doi:10.3390/healthcare12191962 · Cited by 16
Babatope, A. E., Adewumi, I. P., Ajisafe, D. O., Adepoju, K. O., & BABATOPE, A. R. (2024) · Scientific Reports · doi:10.1038/s41598-024-83009-y · Cited by 26
Antor, E., Owusu‐Marfo, J., & Kissi, J. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02636-7 · Cited by 16
Hense, S., Barigela, R., & Kodali, P. B. (2021) · Indian Journal of Community Medicine · doi:10.4103/ijcm.ijcm_304_20 · Cited by 11
Wang, D., Kerh, R., Jun, S., Lee, S., Mayega, R. W., Ssentongo, J., Oumer, A., Haque, M., Brunese, P., & Yih, Y. (2022) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-022-01982-8 · Cited by 11
Espinoza, J., Sikder, A. T., Dickhoner, J., & Lee, T. (2021) · JMIR Formative Research · doi:10.2196/25833 · Cited by 10
Evaluating the Health Information system implementation and utilization in healthcare delivery
Addo, K., & Agyepong, P. K. (2024) · Health Informatics Journal · doi:10.1177/14604582241304705 · Cited by 10
Popela, I., Zuva, T., & Appiah, M. (2019) · International Multidisciplinary Information Technology and Engineering Conference (IMITEC) · doi:10.1109/imitec45504.2019.9015918 · Cited by 10
Saleh, H. A., Lundborg, C. S., & Sharma, M. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-12877-5 · Cited by 10
Chepkirui, M., Dellicour, S., Musuva, R., Odero, I. A., Omondi, B., Omondi, B., Onyango, E., Barsosio, H. C., Otiso, L., Okomo, G. O., et al. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0000870 · Cited by 8
Capeding, T. P. J. Z., Pepito, V. C. F., Lim, L. T. S., Legaspi, R. S. E., Ong, M., Amit, A. M. L., & Dayrit, M. M. (2025) · Health Systems & Reform · doi:10.1080/23288604.2025.2596404 · Cited by 8
Redesigning Electronic Health Record Systems to Support Developing Countries
Tshimula, J. M., Nkashama, D. K., Kalala, K., Dialufuma, M. V., Didier, M. M., Kanda, H., Muabila, J. T., & Mayemba, C. N. (2023) · International Conference on Medical and Health Informatics (ICMHI) · doi:10.1145/3608298.3608338 · Cited by 8
Stawicki, S. P., Garg, M., Peck, G., Arquilla, B., Miller, A., Soghoian, S., Anderson, H., Bloem, C. M., Firstenberg, M., Galwankar, S., et al. (2017) · International Journal of Academic Medicine · doi:10.4103/ijam.ijam_88_17 · Cited by 8
Parthasarathy, R., Garfield, M. J., Rangarajan, A., & Kern, J. L. (2021) · International Journal of Healthcare Information Systems and Informatics · doi:10.4018/ijhisi.20211001.oa21 · Cited by 9
Schuetze, L., Srivastava, S., Kuunibe, N., Rwezaula, E. J., Missenye, A. M., Stoermer, M., & Allegri, M. D. (2023) · International Journal of Health Policy and Management · doi:10.34172/ijhpm.2023.6896 · Cited by 10
The impact of electronic medical records on maternal healthcare: A scoping review
Kirwa, T., Lobo, E. H., Engstrom, T., Felix, T. M. M., Vasudevan, A., McDonald, N., Turner, L., Butler, L., Reid, N., McPhail, S., et al. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2025.105929 · Cited by 8
Managing Outpatient Cycle Times in Hospitals Using Integrated Closed-Loop Approaches
Subburaman, G.-B. B., Munavalli, J. R., Ravilla, T., Mertens, H. J. M. M., Webers, C. A. B., Rao, S. V., & van Merode, F. (2023) · Health Services Insights · doi:10.1177/11786329221145858 · Cited by 7
Galani, M., Hailey, D. M., Tibben, W. J., & Letsholo, K. J. (2021) · Health Policy and Technology · doi:10.1016/j.hlpt.2021.03.001 · Cited by 7
Borgelt, K., Siose, T. K., Taape, I. V., Nunan, M., Beek, K., & Craig, A. T. (2022) · PLOS Digital Health · doi:10.1371/journal.pdig.0000109 · Cited by 9
Agyemang, E., Esia-Donkoh, K., Adu‐Gyamfi, A. B., Douri, J. B., Adoma, P. O., & Achampong, E. K. (2023) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2023-100769 · Cited by 7
Artificial Intelligence in Rural Health in Developing Countries
Mondal, H., Mondal, S., & Singla, R. K. (2023) · Medical virology · doi:10.1007/978-981-99-0369-6_3 · Cited by 5
Manoel, P. Z., Dike, I. C., Anis, H., Yassin, N., Wojtara, M. S., & Uwishema, O. (2024) · Health Science Reports · doi:10.1002/hsr2.70173 · Cited by 6
Al‐Jawaldeh, A., Hammerich, A., Aldayel, F. A., Troisi, G., Al-Jawaldeh, H., Aguenaou, H., AlSawahli, H., Fadhil, I., Sohaibani, I. S., Ati, J. E., et al. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22040639 · Cited by 4
Torkman, R., Ghapanchi, A. H., & Ghanbarzadeh, R. (2024) · Informatics · doi:10.3390/informatics11030044 · Cited by 7
Matlebjane, D. A., & Ndayizigamiye, P. (2022) · South African journal of information management · doi:10.4102/sajim.v24i1.1552 · Cited by 3
Assessment of the use of electronic medical records system and barriers in Rwanda
Uwambajimana, E., Rugirangoga, P., Musabyimana, E., Ingabire, N., Ikibasumba, J., Turikumwenimana, R., Munezero, A., Mukashyaka, J., Theobald, G., Musabyeyezu, A., et al. (2026) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-026-03534-w · Cited by 3
Rheumatic Heart Disease Control Programs, Registers, and Access to Care
Wyber, R., & Kado, J. H. (2020) · Elsevier eBooks · doi:10.1016/b978-0-323-63982-8.00012-x · Cited by 3
Manjunatha, N., Chander, K., Kumar, C. N., & Math, S. (2022) · Indian Journal of Public Health · doi:10.4103/ijph.ijph_1463_21 · Cited by 3
Electronic Health Records: a case study from Kenya.
Paton, C., & Muinga, N. (2018) · Cited by 3
Ngugi, P., Babić, A., & Were, M. C. (2021) · Research Square · doi:10.21203/rs.3.rs-331806/v1 · Cited by 3
Mugisha, M., Umubyeyi, A., Ngenzi, J. L., Richards, J., Santas, X., Condo, J. U., & Fraser, H. (2023) · doi:10.2196/preprints.53895 · Cited by 3
Gatto, A. P., Atkin, D., Tapia, J. C., Lowenberg, M., Kamal, R. N., & Shapiro, L. M. (2024) · World Journal of Surgery · doi:10.1002/wjs.12201 · Cited by 2
Hasan, M. J., Noor, S., & Momen, S. (2025) · Alexandria Engineering Journal · doi:10.1016/j.aej.2025.11.050 · Cited by 2
Muiruri, K., King’utu, K., Gitahi, M., & Otieno, G. (2023) · East African Journal of Information Technology · doi:10.37284/eajit.6.1.1330 · Cited by 2
Secor, A., Justafort, J., Torrilus, C., Honoré, J. G., Kiche, S. W., Sandifer, T. K., Beima‐Sofie, K., Wagner, A. D., Pintye, J. C., & Puttkammer, N. H. (2023) · Health Policy and Technology · doi:10.1016/j.hlpt.2024.100880 · Cited by 3
The doctor, the patient, and the computer
Mohty, M., Petersen, F. B., & Blaise, D. (2024) · Clinical Hematology International · doi:10.46989/001c.121434 · Cited by 2
Secor, A., Célestin, K., Jasmin, M., Honoré, J. G., Wagner, A. D., Beima‐Sofie, K., Pintye, J. C., & Puttkammer, N. H. (2024) · JMIR Pediatrics and Parenting · doi:10.2196/51574 · Cited by 2
The Electronic Medical Record—A New Look at the Challenges and Opportunities
Lederman, R., Brainin, E., & Ben‐Assuli, O. (2024) · Future Internet · doi:10.3390/fi16030074 · Cited by 2
Perwirani, R. (2023) · Journal of Information Systems for Public Health · doi:10.22146/jisph.72274 · Cited by 2
Garcia, P. J., Pérez‐Lu, J. E., Curioso, W. H., Cárcamo, C., & Beuermann, D. W. (2021) · Health Systems and Policy Research · doi:10.36648/2254-9137.21.s1.001 · Cited by 2
Health Information Standardisation as a basis for Learning Health SystemsPreprint
McLachlan, S. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.04811 · Cited by 4
Gao, Y., Myers, S., Chen, S., Dligach, D., Miller, T. A., Bitterman, D. S., Chen, G., Mayampurath, A. M., Churpek, M. M., & Afshar, M. (2024) · medRxiv · doi:10.1101/2024.11.06.24316848 · Cited by 2
Implementation Status of Public Health Informatics
Chanyalew, M. A. (2024) · Sustainable development goals series · doi:10.1007/978-3-031-71118-3_5 · Cited by 1
Interoperability in the Context of Integrated Care
Piera-Jiménez, J., Leslie, H., Dunscombe, R., & Pontes, C. (2024) · Springer eBooks · doi:10.1007/978-3-031-25376-8_101-1 · Cited by 2
Navigating the winds of change: strategic foresight and the power of weak signals
Jabbour, J., Davidson, D. J., Carlsen, H., King, N., Lucatello, S., Aricò, S., Cooke, F. L., Datta, R. K., Gluckman, S. P., Gutiérrez-Espeleta, E. E., et al. (2026) · Sustainability Science · doi:10.1007/s11625-025-01786-5 · Cited by 2
Doebbeling, B. N., & Paode, P. R. (2019) · Health informatics · doi:10.1007/978-3-030-16916-9_10 · Cited by 1
Pakarbudi, A., Mahananto, F., & Subriadi, A. P. (2018) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit1835138 · Cited by 1
Striking a balance between usability and quality control in electronic health records
Kruse, C., Bekker, W., Bruce, J. L., & Clarke, D. (2022) · South African Journal of Surgery · doi:10.17159/2078-5151/sajs3767 · Cited by 1
Mamae, A. A., & Mamo, E. (2025) · PLoS ONE · doi:10.1371/journal.pone.0329896 · Cited by 1
Jaworska, N., Moss, S. J., Krewulak, K. D., Stelfox, Z., Niven, D. J., Ismail, Z., Burry, L. D., & Fiest, K. M. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-057585 · Cited by 1
A SOA Based E-Health Services Framework
Ilie, L., Pop, E., Caramihai, S. I., & Moisescu, M. A. (2022) · E-Health and Bioengineering Conference (EHB) · doi:10.1109/ehb55594.2022.9991608 · Cited by 1
Giglio, P., & Bartolo, M. (2018) · TELe-Health · doi:10.1007/978-3-319-72763-9_6
Rezayi, S., & Saeedi, S. (2020) · Journal of Modern Medical Information Sciences · doi:10.29252/jmis.6.4.60
Kumar, M., & Mostafa, J. (2021) · Journal of Global Health Reports · doi:10.29392/001c.24949
Munezero, F., Sossa, C. J., Ahanhanzo, G. Y., & Bazira, L. (2022) · Open Journal of Epidemiology · doi:10.4236/ojepi.2022.123021
Tarekegn, B., Teklemariam, G. K., & Bedaso, M. (2022) · Research Square · doi:10.21203/rs.3.rs-1840191/v1
Secor, A., Célestin, K., Jasmin, M., Honoré, J. G., Wagner, A. D., Beima‐Sofie, K., Pintye, J. C., & Puttkammer, N. H. (2023) · doi:10.2196/preprints.51574
Strengthening data systems within learning health systems in Kenya
Kimuyu, N. F. W. M. (2023) · doi:10.5463/thesis.425
Mugisha, M., Umubyeyi, A., Ngenzi, J. L., Richards, J., Santas, X., Condo, J. U., & Fraser, H. (2023) · JMIR Human Factors · doi:10.2196/53895 · Cited by 2
Jean-Baptiste, M. C., Julmiste, T. M. V., & Ball, E. (2024) · JMIR Formative Research · doi:10.2196/55000
Improved Data Alignment Between National HIV Reporting Systems, Mozambique, 2017–2023Preprint
Tiberi, O., Templin, L., Ferreira, F., Nhaguiombe, H., Couto, A. M., Lara, J., Keating, R., Mizela, J., Matsimbe, L., Magaia, H., et al. (2024) · medRxiv · doi:10.1101/2024.11.19.24317535
Maloba, M., Finocchario‐Kessler, S., Wexler, C., Staggs, V. S., Maosa, N., Babu, S., Goggin, K., Hutton, D. W., Ganda, G., Mabeya, H., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318941
Mudogo, C. M., Mulwa, A. S., & Kyalo, D. N. (2025) · The Electronic Journal of Information Systems in Developing Countries · doi:10.1002/isd2.70019
Isaac, B., Michaelis, A. P., Jean-Baptiste, M. C., Viaud, L. G., & Lambert, W. (2025) · doi:10.2196/preprints.82396
Metadata
- Authors
- Jawhari, B., Ludwick, D., Keenan, L., Zakus, D., & Hayward, R.
- Affiliations
- University of Alberta (CA)
- Toronto Metropolitan University (CA)
- Corresponding author
- Jawhari, Badeia
- Venue
- BMC Medical Informatics and Decision Making
- Published
- 2016-09-06
- Volume
- 16
- Issue
- 1
- Pages
- 116-116
- ISSN
- 1472-6947 (ISSN-L)
- PMC
- PMC5011989
- OpenAlex
- W2510765898
- Cited by
- 106
- References
- 39
- Citations by year
- 2026: 5 · 2025: 15 · 2024: 19 · 2023: 11 · 2022: 13 · 2021: 13 · 2020: 6 · 2019: 10 · 2018: 8 · 2017: 6
- FWCI
- 1.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Medical Informatics and Decision Making (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Mitacs
- Innovative Canadians for Change
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Keywords
- electronic health records, EMR implementation, resource-limited settings, sub-Saharan Africa, health informatics, implementation factors, conceptual framework, implementation toolkit, resource-constrained healthcare
- MeSH terms
- Humans, Africa South of the Sahara, Electronic Health Records
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
