Haven
Airbnb for hospitals.
It's a mobile app that takes in medical information via questions to the user or medical wearables. It then uses AI to prescribe the appropriate treatment and/or directs one to a medical facility for further treatment and testing if required. That way a patient is sent to the hospital or any medical practice that's most relevant to their affliction. It can work to direct people to the medical facility where they'll be helped quickest similar to the algorithm Uber uses to direct drivers to where there are more passengers
Well there are problems on the healthcare providers side and problems on the healthcare receivers side. On the providers side, you have hospitals which are extremely understaffed and doctors who are severely overworked. This leads to decreased job satisfaction, burnout and even depression. This, in turn, results in the doctors making more errors in their work which is cause for concern because in healthcare a single error can be the difference between life and death. The errors then cause the doctors more stress and we have a vicious cycle on our hands. Because requirements for a healthcare job are so stringent, this problem cannot be addressed by just churning out more doctors and nurses. On the healthcare receivers side, you have a large number of patients with easily treatable afflictions requiring medical attention who don't receive it. This results in them getting sicker and requiring even more urgent attention. The ones requiring urgent care are pushed to the front of the line, leaving the ones with the more benign conditions unattended to and resulting in another vicious cycle. Because of demand and supply economics, the scarcity of medical professionals makes seeing one very expensive and unaffordable to many. These people then turn to snake oil salesmen and other quacks and they don't get the help they need.
This mostly serves the people who cannot currently afford quality healthcare that is the poorest 60% of the population. These people can get the help they need quickly and resume their normal lives which in Zimbabwe is very important because most people are not insured.
We have interviewed 7 doctors and 3 nurses who all confirmed what is written above. Also we talked to almost 50 potential users and they mostly said they'd like for this to exist. Above all I have a unique insight because I was recently hospitalized with a testicular hernia which required surgery to correct.
- Improving healthcare access and health outcomes; and reducing and ultimately eliminating health disparities (Health)
- Concept: An idea being explored for its feasibility to build a product, service, or business model based on that idea
I selected concept because we're are still building a minimum viable product to get in front of users and receive real feedback. Also, we haven't finalized on the right business model
- A new use of an existing technology (e.g. application to a new problem or in a new location)
At the core is the AI that diagnoses the patients. Not as important is the gatekeeper aspect which is powered by its own AI which is not as complicated
- Artificial Intelligence / Machine Learning
- Big Data
- Internet of Things
- Software and Mobile Applications
- Zimbabwe
In the next year we plan on signing up 100 000 users and at least 60% of all medical facilities that includes big hospitals to private practices.
We plan to reduce the cost of healthcare by a magnitude of 5. This will be done by substituting human doctors with AI systems which requires less payment. Also we hope to reduce doctor burnout and job dissatisfaction by reducing their workloads so that they can have greater work-life balance.
We plan on using the usual SAAS metrics, that is user acquisition, user retention, churn and engagement and of course monthly recurring revenue.
The biggest barrier is the technical challenge that this technology may not be possible to build. Another one, though not as big, is the regulatory issues where the health regulatory bodies may not approve of our technology and prevent it from going to market. As for the adoption, we are fairly optimistic though cautious because affordable healthcare is a real pain point
2 of us are computer science students so we have the technical know-how to get the technology up and running. One is a Medical student who can tell us how we need to train our algorithms. The last member of our team is studying social work at the university of Zimbabwe so he is uniquely positioned to put himself in the shoes of our end user and tell us how we can design the app accordingly.
The University of Zimbabwe - our professors consult on any problems we come across and have given us access to their classes to use as interns
Westview Group of hospitals - they have been extremely cooperative in showing us the nuances of hospital life and the diagnostic process in particular
- No
- No