Development of a patient-facing clinical decision support application for hypertension

Background Hypertension is a chronic condition defined by persistent high blood pressure (BP) that leads to significant health impacts. Evidence-based clinical guidelines provide recommendations for the diagnosis and treatment of hypertension. These recommendations are frequently incorporated into clinical decision support (CDS) systems used by clinicians. CDS tools can also be oriented towards patients but careful attention to the development process will be required to make a useful, usable, and engaging digital health intervention. Objectives We sought to design, develop, and optimize a patient-facing clinical decision support application for hypertension, which emphasizes home based monitoring and collaboration around treatment goals. Methods We conducted an iterative, user-centered design process to develop the application. First, we identified user needs, key components, and the technological platform. Then we developed the integrated application and performed extensive testing to validate and optimize performance and usefulness. After identifying issues in the testing processes, we then performed an additional round of optimization development. Results We have completed development of the COACH (Collaborative Approach to Controlling High Blood Pressure) web application using JAVA and SMART on FHIR technologies. The COACH application supports home based BP monitoring and provides evidence-based, patient-centered clinical decision support; including education, counseling, and treatment recommendations. Early results showed we were able to increase usability, address data quality concerns, and demonstrate improved blood pressure control in a pilot study. Conclusions Extensive preparatory research and user-centered design processes enabled the successful development of a novel tool for enabling management of high blood pressure. The tool uses data from the patients' medical record and ambulatory blood pressure monitoring to provide patient centered clinical decision support recommendations. We are now evaluating the tool through a multi-site clinical trial.

Publikationsverlauf

Eingereicht: 13. Februar 2025

Angenommen nach Revision: 05. September 2025

Accepted Manuscript online:
08. September 2025