Do clinical pathways impede provider workflow: A provider efficiency analysis of time spent using an EHR-embedded clinical decision support tool.

Authors

null

Rebecca Maniago

Flatiron Health, Inc, New York, NY

Rebecca Maniago, Jennifer Miao, Stephanie Jou, Gregory Sampang Calip, Shawn Huda, Lawrence N. Shulman, Erin Mary Bange, Aditi Puri Singh, Christopher Davella

Organizations

Flatiron Health, Inc, New York, NY, Flatiron Health, New York, NY, Center for Pharmacoepidemiology and Pharmacoeconomic Research, University of Illinois at Chicago, Chicago, IL, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, Abramson Cancer Center, Philadelphia, PA, University of Pennsylvania, Philadelphia, PA

Research Funding

No funding received
None.

Background: With the growing complexity and cost of cancer care, adoption of oncology pathway tools as clinical decision support (CDS) has increased at the point of care. These tools have been shown to improve care quality, reduce variations in care and reduce healthcare costs. Flatiron Assist (FA) is a customizable CDS tool that is embedded in the electronic health record (EHR) to facilitate selection and documentation of National Comprehensive Cancer Network (NCCN) guideline concordant cancer treatment regimens. The time burden of engaging with CDS tools is a top concern for clinicians and often limits uptake of these tools. However, data on the actual time spent utilizing these tools in clinical practice is limited. Our study reports on the time spent by clinicians in various oncology practices, utilizing and ordering cancer treatment regimens with a CDS tool. Methods: We reviewed all completed sessions in FA from July 23, 2021 to May 23, 2022 by 878 prescribers at 24 academic and community oncology centers. Sessions that were part of an electronic prior authorization pilot program were excluded for purposes of standardization. Session length was defined as the time from the completion of application launch to application exit. For prescribers who completed over 20 sessions, we compared the mean sessions lengths of user’s initial sessions (#1-10) to subsequent sessions (#11-20) using paired t tests. We also determined the total number of potential CDS tool sessions per user per week. Results: All 14,394 CDS tool sessions were analyzed during the 10 month observation period. Median session length was 42 seconds (95th percentile, 253 seconds or 4.2 minutes). The average number of treatment orders placed was 5 per week per provider. Table shows the median session length across the 9 most commonly treated cancers. For the 31 prescribers who started using FA during the study and completed more than 20 sessions, the mean (SD) session length decreased from 95.2 (11.8) seconds in sessions #1-10 to 71.0 (6.0) seconds in sessions #11-20 (two-sided P = 0.034). Conclusions: Utilization of FA as a CDS tool to provide guideline concordant care is feasible and adds less than 4 minutes/week on average to a provider’s workflow. When used effectively, it can integrate seamlessly into provider workflows across academic and community practices without disruptive increases in time or effort of cancer treatment regimen ordering. Future studies are needed to evaluate the impact of product improvements, content changes, and electronic prior authorization integrations on time in this workflow.

Disease
Median Session Length (seconds)
Session Count
Breast
35
4284
NSCLC
57
2976
Prostate
36
1644
Colon
51
1610
Rectal
49
708
Multiple Myeloma
49
475
SCLC
42
437
Pancreatic
34
403
Kidney
31
364

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Abstract Details

Meeting

2022 ASCO Quality Care Symposium

Session Type

Poster Session

Session Title

Poster Session B

Track

Palliative and Supportive Care,Technology and Innovation in Quality of Care,Quality, Safety, and Implementation Science

Sub Track

Decision Support Tools

Citation

J Clin Oncol 40, 2022 (suppl 28; abstr 381)

DOI

10.1200/JCO.2022.40.28_suppl.381

Abstract #

381

Poster Bd #

E20

Abstract Disclosures

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