Implementation and Clinical Adoption of Precision Oncology Workflows Across a Healthcare Network.
Implementation and Clinical Adoption of Precision Oncology Workflows Across a Healthcare Network.
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DOI:
10.1093/oncolo/oyac134
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发表时间:
2022-11-03
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影响因子:
--
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Precision oncology relies on molecular diagnostics, and the value-proposition of modern healthcare networks promises a higher standard of care across partner sites. We present the results of a clinical pilot to standardize precision oncology workflows. Workflows are defined as the development, roll-out, and updating of disease-specific molecular order sets. We tracked the timeline, composition, and effort of consensus meetings to define the combination of molecular tests. To assess clinical impact, we examined order set adoption over a two-year period (before and after roll-out) across all gastrointestinal and hepatopancreatobiliary (GI) malignancies, and by provider location within the network. Development of 12 disease center-specific order sets took ~9 months, and the average number of tests per indication changed from 2.9 to 2.8 (P = .74). After roll-out, we identified significant increases in requests for GI patients (17%; P < .001), compliance with testing recommendations (9%; P < .001), and the fraction of “abnormal” results (6%; P < .001). Of 1088 GI patients, only 3 received targeted agents based on findings derived from non-recommended orders (1 before and 2 after roll-out); indicating that our practice did not negatively affect patient treatments. Preliminary analysis showed 99% compliance by providers in network sites, confirming the adoption of the order sets across the network. Our study details the effort of establishing precision oncology workflows, the adoption pattern, and the absence of harm from the reduction of non-recommended orders. Establishing a modifiable communication tool for molecular testing is an essential component to optimize patient care via precision oncology. This article presents the results of a clinical pilot to standardize precision oncology workflows across a healthcare network. The authors describe an interdisciplinary approach that can be mirrored in other institutions to reflect particular needs or reframed and applied to other clinical scenarios.
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影响因子:
28.4
作者:
Cobain EF;Wu YM;Vats P;Chugh R;Worden F;Smith DC;Schuetze SM;Zalupski MM;Sahai V;Alva A;Schott AF;Caram MEV;Hayes DF;Stoffel EM;Jacobs MF;Kumar-Sinha C;Cao X;Wang R;Lucas D;Ning Y;Rabban E;Bell J;Camelo-Piragua S;Udager AM;Cieslik M;Lonigro RJ;Kunju LP;Robinson DR;Talpaz M;Chinnaiyan AM
通讯作者:
Chinnaiyan AM
DOI:
10.1093/jamia/ocw020
发表时间:
2016-07-01
影响因子:
6.4
作者:
Eubank, Michael H.;Hyman, David M.;Stetson, Peter D.
通讯作者:
Stetson, Peter D.
影响因子:
7.5
作者:
Adar, Tomer;Rodgers, Linda H.;Chung, Daniel C.
通讯作者:
Chung, Daniel C.
DOI:
10.1038/s41568-021-00408-3
发表时间:
2022-03
期刊:
Nature reviews. Cancer
影响因子:
--
作者:
Boehm KM;Khosravi P;Vanguri R;Gao J;Shah SP
通讯作者:
Shah SP
影响因子:
158.5
作者:
Hegi, ME;Diserens, A;Stupp, R
通讯作者:
Stupp, R