Preliminary Competition Timeline

@DidierC ~ That’s a great angle. Keep the timelines as short as possible due to the urgency of the solutions that will come of this prize.

@reubenwenisch ~ To elaborate a bit on what Shashi mentioned about catchment areas. This is yet to be determined and likely won’t be determined until we have chosen a country partner. In theory, we could divide one large catchment area up and have finalist teams work in that single catchment area to deploy and test their solutions. Alternately, we could work with the country partner and decide that it would be best to determine a few catchment areas within the country and teams could each be assigned one catchment area. The challenge with this approach, of course, is keeping the competition fair and equitable. We’d have to make sure the catchment areas were similar enough to make a “fair playing ground” for each team.

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)?

@Shashi and @HeatherSutton, overall timeline, looks ok for an experienced team.
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.

@Nitesh ~ It makes great sense and we really appreciate your feedback here. Especially around the timing of regulatory approvals etc added to the solution development timeline. It’s great to have that insight!

Also very much appreciate your suggestion to keep it to one specific geographic area at the start to perfect the solution. Thank you!