ArticleEGEMS (Washington, DC)2015
EHR-based Visualization Tool: Adoption Rates, Satisfaction, and Patient Outcomes.
Article in EGEMS (Washington, DC), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 23 papers, 2 of them syntheses that pooled 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.
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.
Assessing Effectiveness and Implementation of an EHR Tool to Assess Heart Health Among Survivors (AH-HA)
Effectiveness of a Smartphone Wellness App to Improve Mental Well-being: A Pilot Study
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A review of psoriasis image analysis based on machine learning.Frontiers in medicine · 2024Pooled it
- Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.Journal of medical Internet research · 2018Pooled it
- Oncology Provider and Patient Perspectives on a Cardiovascular Health Assessment Tool Used During Posttreatment Survivorship Care in Community Oncology (Results from WF-1804CD): Mixed Methods Observational Study.Journal of medical Internet research · 2025Observational
- Multilevel factors influence the use of a cardiovascular disease assessment tool embedded in the electronic health record in oncology care.Translational behavioral medicine · 2025Article
- Implementation of patient-reported outcome dashboards within the electronic health record to support shared decision-making in serious chronic illness.BMJ open quality · 2025Article
- RETRACTED: Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning.PloS one · 2025Article
- Cardiovascular health assessment in routine cancer follow-up in community settings: survivor risk awareness and perspectives.BMC cancer · 2024Article
- Patient Information Summarization in Clinical Settings: Scoping Review.JMIR medical informatics · 2023Article
- Patient-Reported Outcome Dashboards Within the Electronic Health Record to Support Shared Decision-making: Protocol for Co-design and Clinical Evaluation With Patients With Advanced Cancer and Chronic Kidney Disease.JMIR research protocols · 2022Article
- Primary care clinicians' perspectives on clinical decision support to enhance outcomes of online obesity treatment in primary care: A qualitative formative evaluation.Journal of technology in behavioral science · 2021Article
- Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review.Diagnostics (Basel, Switzerland) · 2021Review
- Addressing cancer survivors' cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challenges.Contemporary clinical trials communications · 2021Article
- Cardiovascular Assessment Tool for Breast Cancer Survivors and Oncology Providers: Usability Study.JMIR cancer · 2021Article
- Development of a Health Information Technology Tool for Behavior Change to Address Obesity and Prevent Chronic Disease Among Adolescents: Designing for Dissemination and Sustainment Using the ORBIT Model.Frontiers in digital health · 2021Article
- Oncologists' Perceptions of a Digital Tool to Improve Cancer Survivors' Cardiovascular Health.ACI open · 2019Article
- A Face-Aging App for Smoking Cessation in a Waiting Room Setting: Pilot Study in an HIV Outpatient Clinic.Journal of medical Internet research · 2018Article
- Active Use of Electronic Health Records (EHRs) and Personal Health Records (PHRs) for Epidemiologic Research: Sample Representativeness and Nonresponse Bias in a Study of Women During Pregnancy.EGEMS (Washington, DC) · 2017Article
- Differences in Sociocognitive Beliefs between Involved and Noninvolved Employees during the Implementation of an Electronic Health Record System.Perspectives in health information managemen · 2017Article
- Electronic health record-based assessment of cardiovascular health: The stroke prevention in healthcare delivery environments (SPHERE) study.Preventive medicine reports · 2016Article
- The geographic distribution of cardiovascular health in the stroke prevention in healthcare delivery environments (SPHERE) study.Journal of biomedical informatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundElectronic health records (EHRs) have the potential to enhance patient-provider communication and improve patient outcomes. However, in order to impact patient care, clinical decision support (CDS) and communication tools targeting such needs must be integrated into clinical workflow and be flexible with regard to the changing health care landscape.
designThe Stroke Prevention in Healthcare Delivery Environments (SPHERE) team developed and implemented the SPHERE tool, an EHR-based CDS visualization, to enhance patient-provider communication around cardiovascular health (CVH) within an outpatient primary care setting of a large academic medical center. IMPLEMENTATION: We describe our successful CDS alert implementation strategy and report adoption rates. We also present results of a provider satisfaction survey showing that the SPHERE tool delivers appropriate content in a timely manner. Patient outcomes following implementation of the tool indicate one-year improvements in some CVH metrics, such as body mass index and diabetes. DISCUSSION: Clinical decision-making and practices change rapidly and in parallel to simultaneous changes in the health care landscape and EHR usage. Based on these observations and our preliminary results, we have found that an integrated, extensible, and workflow-aware CDS tool is critical to enhancing patient-provider communications and influencing patient outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.