The Bahmni software is a hospital system for low-resource settings used to manage patient records by integrating several open source platforms.
The Bahmni is an open source electronic hospital records management software distributed by the Bahmni Coalition. The system integrates three open source platforms: OpenMRS, OpenELIS, and OPENERP. It stores data from different domains of a healthcare institution and is accessible to staff with low literacy. A dedicated support team updates it periodically and can export the information to other formats (i.e. CVS, PDF, HTML, XLS). The availability of tutorial videos allows accessibility for people with low literacy.
India, Nepal, Bangladesh, Sierra Leone, Uganda, Pakistan, Indonesia, South Africa, Zambia, Kenya, Papua New Guinea
There are additional locations where the system was implemented but the organizations requested not to be listed.
Distributors include: IntelliSOFT Consulting Limited (Operating region: East Africa), Satvix Informatics (Operating region: Indian subcontinent and SE Asia), SDRC (Operating region: Indian subcontinent and SE Asia), IPLit solutions LLP (Operating region: Indian subcontinent and SE Asia), Mekom Solutions PTE Ltd (Operating region: Global), IHS (Operating region: Global), LeapFrog Technology (Operating Region: US, Nepal), ThoughtWorks (Operating region: Global), Samanvay Foundation (Operating region: India) and Nuchange Informatics (Operating region: Global).
Goal 3: Good health and well-being
Healthcare workers (doctors, nurses, administrative staff, among others)
ThoughtWorks Global Health under an AGPL license
Available on the designer’s website along with the instructions to install it on each platform.
More than 25 known distributions (Some organizations have asked for this information to be private)
Connectivity requirement for the product/service to work (mobile internet, SMS, voice, fixed internet, Wi-Fi, other [specify]).
Coverage required for the product/service to work (2G, 3G, 4G, LTE, broadband, dial-up, other [specify]).
Device features required for the product/service to work (bluetooth, Wi-Fi, camera, IVR, GPS, accelerometers/motion sensors, physiologic biosensors, biometric identifiers, SIM, memory card (e.g microSD), other [specify]).
Device(s) type required for the product/service to work (smartphone, feature phone, computer, tablet, other [specify]).
Connectivity requirement for the product/service to work. Some apps/services can work offline. If no, specify if network connectivity is needed at any point (e.g connectivity needed for download).
Is the product/service able to receive and send back information to the user?
Rates of user vs downloads/subscriptions – Compliance rate for the eHealth service
Support according to the literacy level required from the user. If yes, specify type of literacy support. If no, the user is intended to be literate.
Operating system required and software version (Android, IOs, Windows, other [specify])
Power supply required for the product/service to work (uninterrupted prower supply (UPS), ocassional power supply [minimum time required], other).
Education and behavior change, human resource management, decision support, data collection & analytics, electronic medical records, Healthcare provider- CHW training, telemedicine/remote diagnostic, stock management, disease surveillance and reporting
Software comes with integrated applications: EHR (electronic health record) , PMS (practice management software), ERP(Enterprise resource planning), LIS(Laboratory information system), PACS (Picture archiving and communication system). It allows users to have configurable and custom reports, with flexible data models and offline support. It has interoperability: HL7(Health level-7), DICOM(Digital Imaging and Communications in Medicine) , FHIR (Fast Healthcare Interoperability Resources).
Code-based language: Java
Allows an affordable way to manage patient informations for lower resource healthcare organizations
AnantRaut, MS., Yarbrough, C., Singh, V., Gauchan, B., Citrin, D.,Verma, V., HawleyJ ., Schwarz, D., Harcsha, A., Shrestha, B., Schwarz, R., Adhikari, M. and Maru, M., 2018, Design and Implementation of an Affordable, Public Sector Electronic Medical Record in Rural Nepal, Department of Health & Human Services USA , J Innov Health Inform, 24(2):862
Molina, E., Salazar-Cabrera, R. and M.López, D., 2018, NeuroEHR:Open Source Telehealth System for the Management of Clinical Data,EEG and Remote Diagnosis Epilepsy, Telematics Engineering Group, University of Cauca, Colombia, Part of the Communications in computer and Information Science book series (CCIS, volume 915)
Syzdykova, A., Malta, A., Zolfo, M., Diro, E. and Oliveira, JL., 2017, Open-Source Electronic Health Record Systems for Low-Resource Settings: Systematic Review, Department of electronics, telecommunications and Informatics (DETI)/ Institute of electronics and informatics Engineering of Aveiro (IEETA), Aveiro, Portugal, JMIR Medical Inform, 5(4), p.1
Paton, C. and Muinga, N., 2018, Electronic Health Records: A case study from Kenya, Nuffield Department of Medicine, University of Oxford, Oxford, UK, p.3
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