How we built a web application that visualizes insights for hypertension treatment.
How we built a web application that visualizes insights for hypertension treatment.
A world-renowned research university wanted to create software to automate hypertension treatment for patients.
Their goal was to provide healthcare providers with remote access to up-to-date information on their patients, including blood pressure data and any side effects from medication. This would allow the providers to provide services their patients remotely.
They wanted to start with a minimum viable product (MVP) to test within their health system before releasing it commercially.
Buildable was tasked with creating the MVP for the research university. Priorities included:
Remote management of patients
Medication recommendations
Capture of blood pressure data from patients’ Omron blood pressure monitors
Side effect recording with real-time provider alerts
Simple and efficient design, accessible for people of all backgrounds
The biggest challenge was integrating the EHR and FHIR systems, since each EHR has its own way of implementing standards and we were presented with limited data at the start of the project.
Our team worked closely with providers and patients to understand the user experience and to design the workflow appropriately.
We created admin and practitioner portals and self-reporting screens, and connected the system directly with our client’s Epic EHR system so that providers could retain the information in their medical records. We also integrated the system directly with Omron.
Our team then tested the product within the hospital system to ensure it met our client’s expectations. Although the initial goal was to build an MVP, the scope changed and we expanded the product to include more features.
In clinical trials, the new application empowers health care professionals to monitor their hypertension patients remotely.
Providers can remotely monitor the blood pressure of their hypertension patients who are using Omron blood pressure cuffs.
The system uses a decision tree algorithm to make patient care recommendations based on side effects, known allergies, and average blood pressure over a 2-week span. The blood pressure data can also be input manually, which triggers automatic recommendations.
We integrated directly within Epic, so that that the site loads for patients inside of an iframe and separately from the host page to increase modularity and security, without affecting the host page.
Methods: .NET, Angular, GCP infrastructure
Integrations: Epic, Redox, Omron
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