Practice Transformation Analytics Dashboard for Clinician Engagement

Khanna, Niharika; Gritzer, Lauren; Klyushnenkova, Elena N.; Montgomery, Russ; Dark, Michael; Shah, Savyasachi; Shaya, Fadia T.

doi:10.1370/afm.2382

Cited by 7 publications

(11 citation statements)

References 12 publications

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“…One urology dashboard was designed specifically for rapid or at-a-glance use [ 37 ]. In all, 17% (3/18) of the dashboards were designed for slow use and were reviewed every month [ 25 , 27 , 28 ]. Overall, 22% (4/18) of the included studies designed dashboards for slow use but did not specify the exact cadence for reviewing data [ 21 , 33 , 36 , 38 ].…”

Section: Resultsmentioning

confidence: 99%

State-of-the-art Dashboards on Clinical Indicator Data to Support Reflection on Practice: Scoping Review

Bucalon¹,

Brown²,

Shaw³

et al. 2022

JMIR Med Inform

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Background There is an increasing interest in using routinely collected eHealth data to support reflective practice and long-term professional learning. Studies have evaluated the impact of dashboards on clinician decision-making, task completion time, user satisfaction, and adherence to clinical guidelines. Objective This scoping review aims to summarize the literature on dashboards based on patient administrative, medical, and surgical data for clinicians to support reflective practice. Methods A scoping review was conducted using the Arksey and O’Malley framework. A search was conducted in 5 electronic databases (MEDLINE, Embase, Scopus, ACM Digital Library, and Web of Science) to identify studies that met the inclusion criteria. Study selection and characterization were performed by 2 independent reviewers (BB and CP). One reviewer extracted the data that were analyzed descriptively to map the available evidence. Results A total of 18 dashboards from 8 countries were assessed. Purposes for the dashboards were designed for performance improvement (10/18, 56%), to support quality and safety initiatives (6/18, 33%), and management and operations (4/18, 22%). Data visualizations were primarily designed for team use (12/18, 67%) rather than individual clinicians (4/18, 22%). Evaluation methods varied among asking the clinicians directly (11/18, 61%), observing user behavior through clinical indicators and use log data (14/18, 78%), and usability testing (4/18, 22%). The studies reported high scores on standard usability questionnaires, favorable surveys, and interview feedback. Improvements to underlying clinical indicators were observed in 78% (7/9) of the studies, whereas 22% (2/9) of the studies reported no significant changes in performance. Conclusions This scoping review maps the current literature landscape on dashboards based on routinely collected clinical indicator data. Although there were common data visualization techniques and clinical indicators used across studies, there was diversity in the design of the dashboards and their evaluation. There was a lack of detail regarding the design processes documented for reproducibility. We identified a lack of interface features to support clinicians in making sense of and reflecting on their personal performance data.

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Section: Resultsmentioning

confidence: 99%

State-of-the-art Dashboards on Clinical Indicator Data to Support Reflection on Practice: Scoping Review

Bucalon¹,

Brown²,

Shaw³

et al. 2022

JMIR Med Inform

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“…The GPTN-Maryland quality improvement process utilized practice analytics dashboards to explain the impact of ambulatory care on the costs of patients’ care and savings by disease state. 9 In addition, patient portal use was strongly urged to engage patients and to provide opportunities for 24-hour/7-day communication. 8 These interventions were supported in educational forums and in web learning and reinforced to practice staff by coaches who supported and promoted the same message.…”

Section: Discussionmentioning

confidence: 99%

“…8 In addition, practice analytics dashboards were made available to each practice to drive home the need for improved management of chronic disease in order to reduce unnecessary utilization and associated costs. 9…”

Section: Methodsmentioning

confidence: 99%

Hypertension and Diabetes Quality Improvement in a Practice Transformation Network

Khanna

Klyushnenkova

Montgomery

2020

American Journal of Medical Quality

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The Garden Practice Transformation Network in Maryland brought together primary and specialty practices working toward value-based models and efficient care delivery. Practices were provided with coaching and live and multimedia education regarding practice transformation and quality improvement. Coaches supported practices in multipronged approaches to quality improvement. Practice champions and clinical staff were trained on appropriate documentation of blood pressure (BP) and diabetes measures, and new workflows to optimize care delivery. Quality improvement staff were trained in extracting data from electronic health records, providing feedback to practice clinicians, and reporting to Practice Transformation Network staff. Final measurement of BP control was 66%, and final measurement of blood glucose control was 28%. Quality improvement activities in a practice transformation network led to the delivery of high-quality care and quality improvement.

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“…These small practices noted 3 key benefits of practice facilitation: (1) creating awareness of quality gaps, (2) connecting practices to information, resources, and strategies, and (3) optimizing the EHR for quality improvement goals. Consistent with these findings, Khanna and colleagues in the Garden Practice Transformation Network 16 focused on translating quality and cost data into a practice transformation analytics dashboards for practices. Their study echoes both a qualitative study of family physicians participating in TCPI about their reasons for doing so, 17 and a study by the EvidenceNOW evaluation team, ESCALATES.…”

mentioning

confidence: 87%

“…18 The dashboard became a tool for practice facilitators to help practices develop quality improvement plans and celebrate success, but fewer than one-half of practices still found the information to be actionable. Khanna et al 16 reiterate the lesson that "smaller practices are most likely to lack resources to review, interpret, and act on data." Gritzer and colleagues in the Garden Practice Transformation Network 19 describe an innovation that entailed facilitating small practices' use of patient portals that offers several exemplars of the study by Rogers et al, 15 namely, practice facilitator interventions with EHR vendors to enable patient portal functionality, help practices understand related return on investment, teach them to use portal functions, and assist them in realizing the role of patients in informing and improving quality.…”

mentioning

confidence: 99%