Characteristics of High Performing RHIS Systems
Data collection, quality, reporting, analysis and interpretation, use for decision making, M & E, feedback, system optimization
Session 1.4
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Characteristics of High Performing RHIS Systems
1. 4 th International RHINO Workshop Guanajuato, Mexico March 8, 2010 Measuring and Improving Routine Health Information System Performance Session 1.4: Characteristics of High Performing RHIS
2. So, what is the problem with RHIS in support of health services systems? (or, why do need RHINO?)
Irrelevancy and poor quality of the data on individual health care activities Data collection focuses on disease reporting and only partially addresses management objectives, such as continuity of care. Data quality is low because care providers receive little if any training in data collection methods, and are poorly motivated to produce quality data, because most data collected are irrelevant Example: my visits to PHC centre and hospital in Zestaponi Centralization of information management RHIS in most countries are centrally planned and managed. Data processing and analysis in a centrally located office which fails to provide feedback. As a result, information use is found to be the weakest at the district level and below where the main health interventions are planned and implemented, Poor and inadequately used health information system infrastructure: Fragmentation of program-oriented HIS Lack of horizontal and vertical integration