S.No. | Use case categorization | Use case description | Advantages | Challenges/Limitations | Implications for openIMIS |
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Disease surveillance | Tracking of infectious diseases/ Disease outbreak investigations |
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Diseases tracking |
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Prescribing behaviour | Tackling Anti Microbial Resistance |
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4 | Tracking Neonatal treatments |
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5 | Monitoring quality of prescriber |
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6 | Disease specific programme planning | Vaccine preventable diseases tracking |
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7 | Planing of preventive health programmes |
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8 | Nutrition programme monitoring |
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9 | Drug monitoring programmes |
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10 | Road Accident |
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11 | Contributing to CRVS systems |
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12 | Poverty tracking programmes |
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13 | HIV adherence |
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14 | Pricing of drugs |
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15 | Post marketing surveillance |
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16 | Pricing of health insurance benefit packages | ||||
17 | Disease based costing | ||||
18 | Population exposure to healthcare costs | ||||
19 | Reinsurance pricing | ||||
20 | Measuring outcomes |
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21 | Resources allocation | ||||
22 | Health inequities | ||||
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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 by providing us your ideas and inputs. You can do so by adding to the table below. You can also share (by uploading on this page below the table) relevant documentation on this topic like publications, consultation summaries, etc. and adding a summary of your documentation to the table in form of a use case in the table below, derived from the shared document.
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