Design and Implementation of an Electronic Health Record‐Integrated Hypertension Management Application

Author:

Funes Hernandez Mario123ORCID,Babakhanian Meghedi14ORCID,Chen Tania P.14ORCID,Sarraju Ashish34ORCID,Seninger Clark1,Ravi Vishnu1ORCID,Azizi Zahra1ORCID,Tooley James14ORCID,Chang Tara I.23ORCID,Lu Ying5ORCID,Downing N. Lance16ORCID,Rodriguez Fatima4ORCID,Li Ron C.16ORCID,Sandhu Alexander T.147ORCID,Turakhia Mintu14ORCID,Bhalla Vivek23ORCID,Wang Paul J.14ORCID

Affiliation:

1. Center for Digital Health, Department of Medicine Stanford University Stanford CA USA

2. Division of Nephrology, Department of Medicine Stanford University School of Medicine Stanford CA USA

3. Stanford Hypertension Center Stanford University School of Medicine Stanford CA USA

4. Division of Cardiovascular Medicine and the Cardiovascular Institute, Department of Medicine Stanford University Stanford CA USA

5. Department of Biomedical Data Sciences Stanford University School of Medicine Stanford CA USA

6. Biomedical Informatics Research, Department of Medicine Stanford University School of Medicine Stanford CA USA

7. Veterans Affairs Palo Alto Health Care System Palo Alto CA USA

Abstract

Background High blood pressure affects approximately 116 million adults in the United States. It is the leading risk factor for death and disability across the world. Unfortunately, over the past decade, hypertension control rates have decreased across the United States. Prediction models and clinical studies have shown that reducing clinician inertia alone is sufficient to reach the target of ≥80% blood pressure control. Digital health tools containing evidence‐based algorithms that are able to reduce clinician inertia are a good fit for turning the tide in blood pressure control, but careful consideration should be taken in the design process to integrate digital health interventions into the clinical workflow. Methods We describe the development of a provider‐facing hypertension management platform. We enumerate key steps of the development process, including needs finding, clinical workflow analysis, treatment algorithm creation, platform design and electronic health record integration. We interviewed and surveyed 5 Stanford clinicians from primary care, cardiology, and their clinical care team members (including nurses, advanced practice providers, medical assistants) to identify needs and break down the steps of clinician workflow analysis. The application design and development stage were aided by a team of approximately 15 specialists in the fields of primary care, hypertension, bioinformatics, and software development. Conclusions Digital monitoring holds immense potential for revolutionizing chronic disease management. Our team developed a hypertension management platform at an academic medical center to address some of the top barriers to adoption and achieving clinical outcomes. The frameworks and processes described in this article may be used for the development of a diverse range of digital health tools in the cardiovascular space.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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