Health In an implementation of openIMIS used to manage health financing mechanisms (such as insurance systems) capture a wealth of data on individuals, their families, their treatment, their health care costs, diagnosis patterns, medication prescribing behavior, cost of service provision, etc . Such systems take a is captured. This puts openIMIS unique position in the landscape of IT solutions dedicated to supporting various functions within a health care system. With openIMIS we would like to explore the use of such data from various perspectives to explore ways in which this data could contribute to strengthening health care systems. We encourage you to contribute to this discussion and provide us your ideas and inputs in this regard.
-Disease surveillance - real time data (patient demographics plus diagnosis related) could allow tracking of infectious diseases
-Disease outbreak investigations
-Diseases tracking - Tracking changes in disease patterns (longitudinal and cross sectional data)
-Tackling Anti Microbial Resistance - tracking prescription of certain types of drugs (whether appropriately prescribed against diagnosis and what quantity)
-Vaccine preventable diseases tracking - data could be linked to vaccination coverage dataset to indicate outcome of vaccination programme efforts
-Planing of preventive health programmes - disease profile pointing to chronic conditions for eg. could lead to better planning of preventive services or better targeted health promotion programmes
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Currently, openIMIS provides two ways to analyze this wealth of data - through standard Reports and through DHIS2-based dashboards. As every implementation is unique in terms of data collected and the analysis needs, both methods require initial configuration/customization to ensure that the indicators available in the reports and dashboards are of significance to the specific implementation. The default indicators, reports, and dashboards in openIMIS are presented and discussed below.
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