- Innovation in interoperability
- Innovation in analytics
Winning proposals should:
- Focus on simplicity of methods using routinely available data
- Explain rationale for targeting specific countries or regions
- Describe approach for interoperability with country data systems including DHIS2
- Provide evidence that the activity is aligned to relevant national strategies on eHealth
- State the expected improvements over existing solutions, including streamlining of communications and reporting burden
- Address cost of the solution and a description of how it can be brought to scale and be sustainable in the malaria-endemic developing world context, including any computing resources
- Explain online and offline capabilities and limitations
- Explain how ease of use will be measured – i.e. back end analytics that show improvement in timeliness of data collection to analysis, and from analysis to decision-making
- Include user performance metrics (i.e. completeness and timeliness of analysis conducted with the information available)
- Explain how the solution will be strengthening existing health systems instead of building a parallel system
- If the solution involves building on or integrating a reporting system for additional disease areas, explain how it will strengthen malaria elimination decision-making
- Explain how the solution will improve key malaria elimination indicators
- If a proposal recommends new data be collected, it must provide details on what information will become routine surveillance data and what is expected to be uniquely collected for the analysis
The Details
Deadline: 11 MAY 2016
Full Details : http://gcgh.grandchallenges.org/challenge/design-new-analytics-approaches-malaria-elimination-round-17
FAQs - http://gcgh.grandchallenges.org/grant-opportunities/faq/gce
