Health 2.0 Code-a-thon Recap

By PokitDok Team,

It’s Health 2.0 week - and what a great way to start with a Codeathon on Saturday and Sunday. Seven talented teams took on the important challenge of finding a way to develop easy-to-use tools to help seniors better understand and engage with their healthcare and the associated costs. Over the course of 24 hours, teams scrambled to design an application, implement the sponsored APIs (including PokitDok’s Pharmacy APIs), and create a prototype that would hopefully impress the judges. Prize money from sponsors and Health 2.0 would be their reward.

Our very own Mallory Nelson, Pharmacy Systems Analyst, kicked off the weekend off with a presentation of PokitDok’s APIs to the Health 2.0 Codeathon participants. Mallory was actually a competitor at last year’s Codeathon and shortly thereafter, as a result of meeting PokitDok at the event, she came to work with us. Over the course of the weekend, many participants stopped by our area, eager to learn about our Pharmacy APIs and how they could be used to enhance their prototype.


At the end of the competition, some amazing ideas were presented. Two different teams showed off tools utilizing the Amazon Echo voice command interface, Alexa, making healthcare information available from an application without relying on a visual layout - very helpful for visually impaired seniors or for those who aren’t technologically savvy. One of the solutions presented included simple conversational commands yielding information about drug costs and coverage, as well as out-of-pocket cost projections. Other teams tried familiar formats like text notifications as reminders for medications or created applications aimed at caregivers or other supporting players, like providers, within a patient’s sphere of influence.

Many of the coders said they learned a lot by trying to solve these problems - especially in such a short time period. It was great to watch them think through the challenge topic - evolving from asking relatively simple questions like “what’s a formulary” and “what’s a tier,” to actually building applications to help seniors with complex issues like The Donut Hole (a topic we’ve covered on our blog).

Dr. Aenor Sawyer, a surgeon and clinical professor at UCSF, observed in her closing remarks that the medical community believes the best outcomes are gained by informed, activated patients. These teams proved, once again, that tools to empower these patients can be created, very quickly and relatively easily.



The teams did outstanding work. By using our APIs, they created products that do much to improve the patient experience in health. By increasing transparency and consumer understanding of pharmaceutical healthcare information, it will be easier for people to be able to control costs, use benefits, and have meaningful, actionable conversations with providers.


Congrats to everyone who participated in this year’s Health 2.0 SF Codeathon and a special shout out to the winners:

Team Senectus - Overall winner

Product description: Team Senectus created a solution that was able to onboard a patient to receive information on their prescriptions, then educate that patient on topics like drug interactions and costs so that the patient can have meaningful, trust-building conversations with their medical providers about the medication options available to them for their condition. They had, in our opinion, the best model to incorporate all three sponsors’ APIs into a single product, and as a result, were selected overall winner. See image below of their API workflow, and a picture of the team with Dr. Sawyer.






Team Hedge - PokitDok winner

Product description: Team Hedge made a solution that provides educational information about prescriptions to seniors driven by both PokitDok and First Databank APIs to incorporate the potential financial impact of a service for a patient along with their descriptions, side effects, and refill schedule.  They used a two-pronged approach, for their solution, that involved Optical Character Recognition (OCR) to read a picture of a drug label from a mobile phone, and also used an Amazon Echo voice interface (Alexa) to allow patients to easily understand their medication information.


We look forward to next year’s competition - perhaps we’ll see you there!

The opinions expressed in this blog are of the authors and not of PokitDok's. The posts on this blog are for information only, and are not intended to substitute for a doctor-patient or other healthcare professional-patient relationship nor do they constitute medical or healthcare advice.

  Tags: API, Dev

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