Today’s @[email protected] was our ecosystem at its best: clinicians, entrepreneurs, carers, patients, and developers all setting themselves a user need and building a prototype to fix it.
And it was a great honour (and great fun) to judge with @[email protected] and @[email protected]
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1st prize: Porteroo
Rather than porters rushing round to get/deliver routine collections of blood & specimens, this team created a sign for each collection pt, with a “if urgent, scan this QR-code” to send the specific specimen into the urgent queue.
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Then they built the back-end on a vehicle-delivery-problem algorithm, to create sensible routes and direct the most appropriate porter to collect an urgent specimen — and an app to show each porter where they were needed next.
Elegant, self-contained problem with a clear user need and a clinical benefit, and massive work by the team this wknd.
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2nd Prize: Alexa skills on NHS data
This team created Alexa skills so a patient could ask their Amazon Alexa questions like “What is the wait time at Bryn Beryl Hospital?”, “How much would a prescription cost me?” “What is car parking like at Addenbrooke’s hospital?” and “What is the rating of Kings College Hospital?”
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They used a variety of data sources, actually built an API during the weekend for their welsh data (done by a remote participant, but still), created something with practical uses for patients, and provided us with a great illustration for why it’s useful to expose more operational data through APIs
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3rd prize: Consent reimagined
They created a web app to let patient and clinician electronically build a customised consent form, for a patient to understand risk in and agree to a procedure.
The app had interfaces for the clinician to customise the content for the patient, and for the patient to review it —
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— including with a video from the clinician that the patient could examine at home.
The app then produced a PDF that could be emailed to patient or clinician, and they aimed to remove thousands of kilogrammes of paper from the system.
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Honourable mention: NHS Top Trumps
The team dynamically generated top trumps cards reflecting child and adolescent mental health statistics from each local authority.
They used python for the data wrangling and to create the cards, pushed the data into CSV where they could manage it, —
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— and used SVG from KML files to create a map at the top of each card, representing the area.
We were particularly impressed with the volume of work they accomplished in just two days, and their ability to communicate complicated subjects (the various things that make CAMHS services successful or challenged, and how each region compares to others) in a fun and engaging way.
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There were loads of other amazing innovations — see @amCunningham’s thread for more — and it was challenging indeed to pick winners.
Thanks to the organisers and volunteers, and to all those who hacked. Your creativity & skills are inspiring!
https://twitter.com/amcunningham/status/1140260511268921344
#nhshd 10/10
Hadley Beeman