Browsing by Author "Kikoba, Bigten Ramadhan"

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    Integrating Electronic Medical Records Data Into National Health Reporting System To Enhance Data Reporting At The Facility Level A Case Of E Hms And Dhis2 in Tanzania
    (2019) Kikoba, Bigten Ramadhan
    A well organized and coordinated health reporting system is critical for improved health system and health care services delivery. In Tanzania, health data is collected at health facilities and managed by Health Management Information System (HMIS) unit through District Health Information System (dhis2). However, data collection and reporting at facility level is error prone and task demanding due to the manual processes of collecting, aggregating, reviewing and sharing data. This study utilizes the opportunity on growing number of hospitals adopting and using Electronic Medical Records (EMR) to integrate EMR data into the national health reporting system (DHIS2) so as to improve facility health data reporting. The study adopted an exploratory case study design, where by qualitative data collection was done to study the existing reporting processes through interview, documentation reviews, observation and system reviews from hospitals, district health data managers and the ministry of health .The preliminary results informed the design and development of an integration prototype of EMR-DHIS2 using out-patient (OPD) and in-patient ( IPD) data set forms. Finally, quantitative data analysis was done to evaluate the effectiveness of integration prototype using HMIS reports. The findings show that, hospitals are using EMR in clinical operations but data aggregation and reporting are done manually using reporting books like registers, tally sheets and summary forms. This process has found to be error prone. After integration, the evaluation results show that data sent electronically from EMR at the health facility to DHIS2 improves data completeness, eliminates delays and transcribing errors in reporting and also reduces reporting burgen on health workers. However, data quality of the reported data sets in affected in correctness and accuracy parameter due to ineffective use of EMR to capture key data sets during clinical.