myHealthRadar is a COVID-19 inspired device-integrated electronic medical record service

Overview

With the COVID-19 pandemic growing, the ability to monitor and maintain our general health is more important than ever. Many patients use health device monitors to track steps to heart rates to glucose levels. The data these devices collect sync across many different platforms, so it may be confusing, or just difficult overall, for patients to understand how to share data reports with their provider. myHealthRadar makes it easy.

myHealthRadar is a telehealth service that can be linked to health monitoring devices. It creates an easy-to-understand visual depiction of patients' electronic health records in order for the patient to independently track their chronic conditions from home. Our program promotes being health conscious in the midst of the pandemic while allowing its users to stay home and stay healthy.

Team Members

Bryce Villanueva (Project Manager, Junior Mechanical Engineering @ University of Central Florida) Bryce coordinated team meetings with Google Meet, task completion using Jira, and coordinated product development. He also developed the business proposal, OAuth API implementation for Dexcom, Firebase setup, and the final video.

Dan Chepkwony ( Software Developer, Sophomore Computer Science @ Ball State University) Dan was responsible for developing the website. He also created the assets on the site aside from the logo and icon.

Forrest Dipert (Data Scientist, Senior Biomedical Engineering @ Purdue University) Forrest was responsible for researching, developing, and refining algorithms which provide our users with analytics and data to support preventative medicine in a telehealth format. He also worked on maximizing the accessibility of our User Interfaces to older audiences.

Mianna Ruiz (Business Analyst, Senior Healthcare Management @ Indiana University Bloomington) Mianna was responsible for creating and designing a business presentation to market our ideas to providers and health systems as a whole. Mianna also created myHealthRadar's logo and researched other telehealth services prior to suggesting this concept in order to myHealthRadar as realistic and feasible as possible.

Deepa Jayasankar (Data Scientist, Junior Biomedical Engineering @ Purdue University) Deepa was responsible for researching and developing models and functions to process data from medical devices in order to provide analytics for the users. She also worked to create explanations of the different models and functions and explain them on the presentation.

How did you decide on this solution?

One of our members brought up the myChart medical record system while another brought up the possibility of creating a medical device. An idea suddenly came to mind: instead of creating another device to compete with existing products, we could create a powerful system like myChart with the goal of integrating already available health devices. This way, we would be able to work with existing companies while offering providers an amazing way to transition to a remote monitoring model in response to COVID.

How did your team build and iterate on the solution?

The GO Squad would create plans in Google Drive alongside the coaches to create a cohesive business model.

Some members were tasked with developing powerful analytical health functions (myHealthInsights) using Python in Google Colab notebooks.

Other members would develop the website, UI, and any needed integrations to Firebase.

Key Metrics

Our team would meet 2-3 times a week to discuss tasks and any issues encountered during development. Members would also have separate meetings for research, design, development, and more as well. There was at least 1 meeting to get coaches updated every week, and smaller meetings were also held for more specific feedback.

Technical Details and Diagrams

GitHub Repo for all code

Simple Heart Rate Functions

Spectral Analysis of Heart Rate

Hypertension and CVD Risk Prediction

Exercise and Insulin Reports

Hyperglycemia Alert and Carbohydrate Report

If you had another 5 weeks to work on this project, what would you do next?

We would have continued developing our pricing model to be more flexible and customizable to market needs. On the more technical side, while both OAuth and analytical health functions worked individually, additional time would be spent on workarounds for Firebase limitations on outbound networking and Python execution on the free plan.

Sources

Gent, Paul van. “Analyzing a Discrete Heart Rate Signal Using Python – Part 1.” Paulvangentcom, 15 Mar. 2016, www.paulvangent.com/2016/03/15/analyzing-a-discrete-heart-rate-signal-using-python-part-1/.

Klabunde, Richard E. “Control of Heart Rate.” Image for Cardiovascular Physiology Concepts, Richard E Klabunde PhD, www.cvphysiology.com/Arrhythmias/E010.

Li, Kai, et al. “Spectral Analysis of Heart Rate Variability: Time Window Matters.” Frontiers, Frontiers, 7 May 2019, www.frontiersin.org/articles/10.3389/fneur.2019.00545/full.

Varshneya, Rahul. "7 Telemedicine Concerns and How to Overcome Them." Arizona Telemedicine Program, The University of Arizona, 11 October 2018, https://telemedicine.arizona.edu/blog/7-telemedicine-concerns-and-how-overcome-them

D’Agostino, R. B. (2008). General Cardiovascular Risk Profile for Use in Primary Care. Circulation, 117(6), 743-753. doi:10.1161/circulationaha.107.699579

Parikh, N. I., Pencina, M. J., Wang, T. J., Benjamin, E. J., Lanier, K. J., Levy, D., . . . Vasan, R. S. (2008). A Risk Score for Predicting Near-Term Incidence of Hypertension: The Framingham Heart Study. Annals of Internal Medicine, 148(2), 102. doi:10.7326/0003-4819-148-2-200801150-00005

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