Visualization of Patient-Generated Health Data: A Scoping Review of Dashboard Designs

被引:4
作者
Shenvi, Edna [1 ,5 ]
Boxwala, Aziz [1 ]
Sittig, Dean [2 ]
Zott, Courtney [3 ]
Lomotan, Edwin [4 ]
Swiger, James [4 ]
Dullabh, Prashila [3 ]
机构
[1] Elimu Informat, El Cerrito, CA USA
[2] Univ Texas Hlth Sci Ctr Houston, McWilliams Sch Biomed Informat, Houston, TX USA
[3] Univ Chicago, NORC, Bethesda, MD USA
[4] Agcy Healthcare Res & Qual, Ctr Evidence & Practice Improvement, Rockville, MD USA
[5] Elimu Informat, El Cerrito, CA 94530 USA
来源
APPLIED CLINICAL INFORMATICS | 2023年 / 14卷 / 05期
关键词
clinical decision support; patient-centered care; shared decision-making; patient-generated health data; other clinical informatics applications; patient engagement; DECISION-MAKING; INTEGRATION; LESSONS; IMPACT;
D O I
10.1055/a-2174-7820
中图分类号
R-058 [];
学科分类号
摘要
Background Patient-centered clinical decision support (PC CDS) aims to assist with tailoring decisions to an individual patient's needs. Patient-generated health data (PGHD), including physiologic measurements captured frequently by automated devices, provide important information for PC CDS. The volume and availability of such PGHD is increasing, but how PGHD should be presented to clinicians to best aid decision-making is unclear.Objectives Identify best practices in visualizations of physiologic PGHD, for designing a software application as a PC CDS tool.Methods We performed a scoping review of studies of PGHD dashboards that involved clinician users in design or evaluations. We included only studies that used physiologic PGHD from single patients for usage in decision-making.Results We screened 468 titles and abstracts, 63 full-text papers, and identified 15 articles to include in our review. Some research primarily sought user input on PGHD presentation; other studies garnered feedback only as a side effort for other objectives (e.g., integration with electronic health records [EHRs]). Development efforts were often in the domains of chronic diseases and collected a mix of physiologic parameters (e.g., blood pressure and heart rate) and activity data. Users' preferences were for data to be presented with statistical summaries and clinical interpretations, alongside other non-PGHD data. Recurrent themes indicated that users desire longitudinal data display, aggregation of multiple data types on the same screen, actionability, and customization. Speed, simplicity, and availability of data for other purposes (e.g., documentation) were key to dashboard adoption. Evaluations were favorable for visualizations using common graphing or table formats, although best practices for implementation have not yet been established.Conclusion Although the literature identified common themes on data display, measures, and usability, more research is needed as PGHD usage grows. Ensuring that care is tailored to individual needs will be important in future development of clinical decision support.
引用
收藏
页码:913 / 922
页数:10
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