Medpa Qx offers a groundbreaking workflow for initial patient triage, utilizing the capabilities of AI and LLMs.
This system has the potential to stand in for medical professionals during preliminary triage queries, especially when patients find themselves waiting, often with little else to occupy them.
How Does It Work?
Our demo is straightforward. Patients are first presented with a set of fundamental questions. Based on their responses, the AI dynamically crafts a tailored questionnaire. Their answers to this guide the AI towards certain hypotheses, which are then summarized for a doctor to review. This doctor will finalize their diagnosis and recommendations for the patient, which are then in turn sent via email for the patient to see. You can try it out here - admittedly you might wait up to 24h for a reply at the moment as all of our responses are written by humans (pinky promise!).
The differentiating value is really the triage engine - we think it’s quite good, and in our experience - while it cannot replace a doctor entirely - it can get enough information out of a patient for the doctor to make an informed decision. So even if we need humans to review (both from a safety and psychological comfort perspective), we’re really confident this can be done quickly and painlessly!
Our inspiration
Why embark on this journey? This venture is the first step in showcasing how we can revolutionize typical medical workflows globally.
As founders, we’d often gather around a meal or a drink and discuss our professional struggles. I lead the tech division of a prominent healthcare company, while my co-founder, Phong, is a dedicated medical doctor. We both noticed glaring inefficiencies in our sectors. While my users grappled with dated systems, Phong found himself dedicating a significant portion of his day to administrative tasks.
We gathered, drew up a mockup diagram - and off to the races we went. We explored a couple of ideas with chatbots, a couple of silly VR concepts, drank some beers and a few weekends later we came up with this first full-featured MVP.
Reality of healthcare
Innovation in healthcare is notoriously sluggish, hampered by regulations, patient safety concerns, and bureaucracy. The industry lacks transformative solutions that can genuinely disrupt the status quo. While digital solutions might offer a modest improvement, they can sometimes be a challenging pitch. We believe that changes today and super-powered AI workflows can be the paradigm shift that can push the envelope.
We believe that with AI, there is an undeniable paradigm shift and an explosion in potential deliverable value by software to healthcare systems around the world. The potential efficiency improvements are so compelling that healthcare providers worldwide will need to adapt or risk obsolescence. And we would like to be there to deliver those improvements.
Closing thoughts
We just really want to make healthcare more efficient not only where we live, but also make these efficiency gains easily deployable and available elsewhere.
Nevertheless, there is a lot of healthcare software out there, and you could argue any systems like ours compete against them. EHRs, scheduling systems, etc. While dominant EHR systems like Epic and Cerner hold considerable market share, they aren't immune to competition. But - that doesn’t mean that one shouldn’t try. Everyone who has worked with Epic in my experience bemoans it as the worst piece of software imaginable, and disruption is the name of the game. Furthermore, I think what we want to do is take a step back - beyond the UK, beyond the US - and see this as a chance to implement software healthcare systems that can operate everywhere without a compromise in quality, at the speed of data packets travelling around the world. Healthcare really ought to be accessible and easy, especially today when it has never been easier to build good, scalable, quality software.
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