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Preliminary Competition Timeline
Shashi
Posts: 596 admin
Above image is the proposed timeline for the competition (click here for larger image; also see detailed description below), starting with a proposal submission followed by prototype building in round one and solution deployment and user testing in the final round each with its own judging phase.
We would like your feedback on the overall timeline of the prize.
Please leave any thoughts or ideas you may have in the comments below!
Here is more detail of what each section composes of:
Overall, we expect teams to develop and deploy 3-6 solutions for real-life demonstration in a catchment area and the chosen health focus.
Round 1 (6 Months): Proposal Submission
Teams carry out human centered design with country health leadership, frontline health workers (FHW), & key stakeholders. Then they submit written proposals for how to aggregate & harmonize data AND how they will demonstrate both the primary and secondary benefits.
Round 2 (12 Months): Build & Test Interoperability System
Develop an interoperability prototype and demonstrate its quality and functionality through testing with the existing point-of-care systems and against predetermined criteria such as accuracy, speed, and other performance metrics.
Round 3 (12 Months): Deployment and Demonstration of Primary and Secondary Benefits
Deploy solution in one catchment area. Gather user feedback on the solution to demonstrate the primary benefits to the frontline health workers and the secondary benefits for population level insights for evaluation by health leadership.
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Hi @kenjisuzuki, @Nvargas2, @skornik, @Kwenz, @Manoj_Nemocare, @tylerbn, @biki, @siimsaare and @Davisthedoc - Curious to know if you have any feedback to share on the proposed timeline of this competition.
Hi @orsina, @janansmith, @jenyxp, @arun_venkatesan, @DidierC, @dpatterson22, @rajpanda, @RahulJindal and @SArora - Would love to hear your thoughts on the proposed preliminary timeline of this competition.
I would prefer shorter because Life Extension is urgent
Phase 1 maximum 3 months
Phase 2 maximum 6 months
Phase 3 maximum 9 months
But maybe I missed things
Didier
I agree with @mashizaq and @HeatherSutton.
Thanks @Hongsoo
The goal is to co-design the final details with the country partner (once they are selected) and to determine the very items you mentioned: How much access to data will teams have? Or alternately, what synthetic data can we use in it's place? What health system resources (including workforce) will be available for implementing and testing the final solutions. There is still much to be determined on the specifics, but that we hope to nail down within the next few months.
Do you think one of those would work? Or would you rather see individual teams covering multiple catchment areas (i.e. one team would work in 2-3 different catchment areas to "prove" flexibility in their solution)?
We will be measuring impact created, though, this is also tricky to define without understanding what impact metrics the country already collects (to test pre/post states). The impact metrics we would focus on will most likely relate to measures of quality and efficiency and user experience. What do you think of that approach (at least at a generalized level now)?
The regulatory approvals, data protection, hardware for the data collection can add time up to 6 months to solution development.
One team working in one specific geographic area at the start to perfect the solution for it's core functions is the most sensible thing. Most developing countries have similar health models (not the same) and similar problems with varying degree of criticality. The solution can be modified for the other catchment area further down the road.
The potential impact can be monitored by the understanding problem itself. For example, if there is one area that has a high prevalence of diabetic population which is leading to higher mortality rates due to non-communicable diseases so if a solution which is focusing on diabetes monitoring and control should have a direct impact patient management.
Similarly, another example can be clinical and nutritional parameter monitoring during the pregnancy and impact of this on neonatal mortality and morbidity can be easily measured by looking at the historic data and a potential impact of the intervention.
I hope it has made some sense.
Also very much appreciate your suggestion to keep it to one specific geographic area at the start to perfect the solution. Thank you!