Patient in the lead
Last weekend, a fantastic opportunity team (team 17) participated in Hacking Health Utrecht 2018 for the Princess Máxima Center. At this annual event, teams try to find innovative solutions to improve healthcare. This year the central theme was: The patient in the lead.
Less nauseated by data
The team has created a wonderful solution in three days with the title “Less nauseated by data” for the Princess Maxima Center for pediatric oncology. “Less nauseated by data” combines treatment information, physical activity, dietary information and especially the wishes of the patient to a personalized menu and an activity program for the vulnerable young group of patients of the Princess Maxima Center.
Arrange meals with the treatment
With the help of our solution, children and parents will soon choose responsible meals and snacks that they can eat during their visit to the Princess Maxima Center. By using the combined data from different sources, these meals are more in line with their treatment, accelerate recovery and reduce nausea.
Unique new technical solution
For “Less nauseated by data” we built with a unique new technical solution. It consists of a data virtualization layer that combines data from different internal and external sources without moving or copying the source data. Of course we worked on the Hackathon from privacy and security requirements only with dummy data. The new virtual data layer is unified and authenticated using two APIs generated at the Hackathon. The APIs provide access to the source data for the patient app specially built on this Hackathon. The APIs also provide communication with the caterer.
What is under the hood
To make all this possible, we made use of;
• The data structures of sources such as the HiX of UMC Utrecht, Culicart of our caterer Hutten, Vidavi for purchasing and logistics, and AFAS for financial data.
• Reading in the data structures with the help of Tibco DV and MapR. A platform supplied by connecteddatagroup in collaboration with Open Line (private smart cloud).
• Mapping of the data structures to the uniform Basic Data Set Care model of the program Registration at the Source. We have built this model using the Care Information Building Blocks (ZIBs) in Tibco DV.
• Supplementing the Basic Data Set Care Model with specific data that parents and children can fill in about, among other things, eating preferences, nausea, movement through a pedometer, and eating experience.
• Translation of the Basic Data Set Care model to a virtual dataset that was made available on the basis of the VIPP standard (HL7) via a REST json web service (API).
• Translation of the Basic Data Set Care and the additional data to a virtual dataset that was made available to PowerBI via a second REST json web service (API).
• Bundling of the two virtual datasets into a APP specially built for this Hackathon, where parents and children can see what their patient data is, what they have eaten, how they react to this, what the physical activity is, and a Dashboard from PowerBI that has more information.
Evaluation of the Result and for more information
Debbie Tarenskeen was a member of the opportunity team and is conducting a doctoral research into the impact of innovation and organizational innovation on the current ICT architectures of healthcare organizations. Hereby Debbie is looking at what it takes to be able to move more flexibly, simpler and faster from ICT architectures, for example on innovation questions. Debbie will objectively evaluate the results of the Hackathon from her PhD research. For more information, contact Ronald de Vries, Innovation Manager at the Princess Máxima Center.
The opportunity team consisted of the following team members
Ronald de Vries (Innovation Manager Princess Máxima Center), Marieke de Sain (Innovation advisor Princess Máxima Center), Ellen Kilsdonk (Data architect Princess Máxima Center), Brenda Hijmans (TNT), Debbie Tarenskeen (Senior lecturer and PhD student at Hogeschool Arnhem and Nijmegen), Nynke Hollema (SKION), Bob Hamans (Siemens), Joost Jansen (Developer and student of Hogeschool Utrecht), Arnoud van Duijn (D & A Medical Group), Tamara Moll (D & A Medical Group), Antoine Stelma (connecteddatagroup), Erik Fransen (connecteddatagroup), Philip du Maine (connecteddatagroup), Jolanda Iliohan (connecteddatagroup).
RePost: Ronald de Vries