Evidence map›Paper›PMID 38226516›Full record

ArticleJournal of the American Heart Association2024

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

Mario Funes Hernandez, Meghedi Babakhanian, Tania P Chen, Ashish Sarraju, Clark Seninger, Vishnu Ravi, Zahra Azizi, James Tooley, Tara I Chang, Ying Lu and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  7. Second Year In Review, Third Year In Preview, and the 2024Journal of the American Heart Association · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 1 country.

Mario Funes HernandezCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0002-6545-3110
Meghedi BabakhanianCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0002-3786-5943
Tania P ChenCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0003-4095-1049
Ashish SarrajuStanford Hypertension Center Stanford University School of Medicine Stanford CA USA.ORCID 0000-0003-1649-2110
Clark SeningerCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.
Vishnu RaviCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0003-0359-1275
Zahra AziziCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0002-7897-0934
James TooleyCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0002-9753-0360
Tara I ChangDivision of Nephrology, Department of Medicine Stanford University School of Medicine Stanford CA USA.ORCID 0000-0002-4691-1681
Ying LuDepartment of Biomedical Data Sciences Stanford University School of Medicine Stanford CA USA.ORCID 0000-0002-7698-8962
N Lance DowningCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0002-2133-9244
Fatima RodriguezDivision of Cardiovascular Medicine and the Cardiovascular Institute, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0002-5226-0723
Ron C LiCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0002-4310-7137
Alexander T SandhuCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0003-3208-1143
Mintu TurakhiaCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0001-8025-0904
Vivek BhallaDivision of Nephrology, Department of Medicine Stanford University School of Medicine Stanford CA USA.ORCID 0000-0002-5420-9657
Paul J WangCenter for Digital Health, Department of Medicine Stanford University Stanford CA USA.ORCID 0000-0002-5467-5877
Cardiovascular Institute of the South · USStanford University · USStanford Medicine · USVA Palo Alto Health Care System · US

Funding

Adherence Determinants in the Health Electronic Record Evaluation of Statins (ADHERES)R01HL168188 · NHLBI · STANFORD UNIVERSITY · PI Fatima Rodriguez · 2024 to 2026
$2.1M
SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)K01HL144607 · NHLBI · STANFORD UNIVERSITY · PI RODRIGUEZ, FATIMA · 2019 to 2023
$856k
NHLBI NIH HHS K01 HL144607NHLBI NIH HHS R01 HL168188
6 · The paper itself

Abstract

backgroundHigh 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.

methodsWe 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.

conclusionsDigital 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.

Indexed as

Electronic Health RecordsHypertensionAdultBlood PressureHumansRisk FactorsSurveys and QuestionnairesUnited Statesclinician inertiadigital healthhypertension

Identifiers

PMID38226516
PMCPMC10926825
OpenAlexW4390918153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.