2 Apps (completed): Self-diagnosis, risk scoring, integration with Monday workflow to allocate to health worker dispatch app

We have built 2 apps - one for the public to self-diagnosis and find out if they are in risk categories (with tailored advice for each) and enter basic information including location. They can also view anonymized, approximate other reports on a map coloured by recency, as well as volunteer to help others. The self-diagnosis reports are scored via algorithms in Google Sheets and integrated in to Monday for workflow management, i.e. allocating to health workers. The cases are then sent to a secure healthworker dispatch application where they can view daily visits on a map and update the information based on the visit.

We’d love input, feedback suggestions. There are demo videos of them at the end of the below detailed overview.

The Problem

  1. Healthcare resources are limited.
  2. They need to be effectively deployed to minimise the impact of Covid-19 on the health of South Africans and the South African economy.
  3. This will be done by minimising the spread of the virus and focusing resources on those that need it most.
  4. Tracking apps that allow authorities to track the location of people who have or have had the virus will help and are not in the scope of our proposal. However, these will only work once the carriers have been identified in the first instance.
  5. The ability to quickly prioritise resources on hotspots is critical, especially for an exit strategy where populations are allowed to move again for the economy to re-build.
  6. The current approach to the early-identification of virus outbreaks is decentralised and reliant on over-stretched clinics/ health workers using manual processes and paperwork. This makes resource-planning cumbersome, reactive and problematic.
  7. Health care workers, clinics, nurses and doctors are dependent on a hit-and-miss approach to testing the population.

The Requirements

  1. A standard methodological approach needs to be agreed and adopted to: evaluate as early as possible the likelihood of infection based on symptoms; calculate the risk of that individual developing severe symptoms as well as spreading the virus; and provide the geo-location of that individual at that time.
  2. The ability for the public, healthcare workers, clinics etc to complete assessments based on the above approach and submit the results electronically and instantly.
  3. Logistics planners, suppliers, hospitals and clinics require these realtime data - specifically the big data statistical/ trend analysis of these data - to make forecasts for resource planning at a national level.
  4. In-the-field testers require a structured and prioritised daily list of potential Covid-19 cases, including a map showing their locations and the ability to enter the results of their assessments electronically and submit them immediately.

The Solution

  1. Public App

  2. Allows users (health clinic workers, the general public) to answer simple questions to evaluate the likelihood of an individual having Covid-19 and provide immediate advice based on their responses;

  3. Allows users to provide some information (for example age, underlying health conditions) to understand which risk category they fall in to and provide immediate advice based on this;

  4. Allows users to additionally and optionally capture further information, including their precise current location and submit this information;

  5. Provide links to relevant resources for further information and advice (the can also be included in the app along with simple educational animations));

  6. Can send push notification for education and to alert of local outbreaks.

  7. Secure Cloud-hosted Database and Scoring Models

  8. Stores realtime information submitted in a-c above.

  9. Algorithms are run to evaluate the likelihood of infection, vulnerability, risk of spreading etc. to provide individual scoring. These algorithms can be built based on the input of the health authorities.

  10. Big data statistical modelling can be performed to identify realtime trends in the geographical and demographic spread of Covid-19.

  11. Integrations can be provided to logistics providers via API/ JSON exports to plan resources, health care visits, testing etc.

  12. Workflow Management

  13. Administrators can review the results and move/ allocate cases to the relevant workflow (no action required, to allocate, allocate to, allocated to an individual etc.

  14. Realtime report dashboards, prioritisation and escalation are provided within this platform.

  15. Healthcare Visitor Dispatch and Capturing App

  16. Secure log-in to individual profile.

  17. View daily list of individuals to visit, including a map view with their original symptoms reported.

  18. Ability to update the symptoms shown and capture additional information (for example test sample details, recommended hospitalisation etc).

  19. Submit updated information and notes back to the database in real-time for further workflow management.

NB: All individual records must be kept secure and compliant with POPI and other regulations governing privacy.

Where we are

We are not medical professionals or logistics planners. We are developers who can build apps very quickly and saw the likely requirement for these tools. We anticipated these requirements several weeks ago and started working on a proof-of-concept platform.

  1. Public App: “Stay Home South Africa”

  2. Development and testing completed pending input from the relevant experts on the questions, advice (both of which we’ve used Department of Health/ WHO sources for).

  3. Submitted to App Stores on 23/03 and is pending release. Affadavits from the relevant authorities saying this is a government-support app may be required, as is the case for all Covid-19 apps.

  4. Watch the demo video here: https://youtu.be/pErMuDxeIxE

  5. Secure Cloud-hosted Database and Scoring Models

  6. Completed pending input from relevant experts on the scoring models.

  7. Workflow Management

  8. Integration with Monday* complete

  9. Completed pending input on the relevant workflows, resources and dashboards.

(* Monday is one of the largest cloud-based project management platforms in the world.)

  1. Visitor Dispatch and Capturing App

  2. +/-90% complete.

  3. Watch the demo video here: https://youtu.be/wQieOrXpIEk

The platform is highly flexible, modular and can be updated in realtime based on input from medical professionals and logistic planners. Based on the requirements provided, we can re-build and customise the above solution within 48 hours. We propose to collaborate with the other entities working on the solution to this unique and urgent challenge as soon as possible.

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