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Article

Pyramidal Decision Support Framework Leverages Subspecialty Expertise across Enterprise to Achieve Superior Cancer Outcomes and Personalized, Precision Care Plans

1
Department of Medical Oncology and Therapeutics Research, City of Hope, Irwindale, CA 91706, USA
2
Department of Medical Oncology and Therapeutics Research, City of Hope, Duarte, CA 91010, USA
3
Department of Radiation Oncology, City of Hope, Duarte, CA 91010, USA
4
Department of Clinical Informatics, City of Hope, Duarte, CA 91010, USA
5
Department of Quality, Risk and Regulatory Management, City of Hope, Duarte, CA 91010, USA
6
Department of Enterprise Business Intelligence, City of Hope, Irwindale, CA 91706, USA
7
Department of Medical Oncology and Therapeutics Research, City of Hope, Newport Beach, CA 92660, USA
8
Department of Medical Oncology and Therapeutics Research, City of Hope, Upland, CA 91784, USA
9
Department of Medical Oncology and Therapeutics Research, City of Hope, Antelope Valley, CA 93534, USA
10
Department of Medical Oncology and Therapeutics Research, City of Hope, Mission Hills, CA 91345, USA
11
Department of Medicine, City of Hope, Duarte, CA 91010, USA
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(22), 6738; https://doi.org/10.3390/jcm11226738
Submission received: 29 September 2022 / Revised: 9 November 2022 / Accepted: 9 November 2022 / Published: 14 November 2022

Abstract

The complexity of cancer care requires integrated and continuous support to deliver appropriate care. An expert network with complementary expertise and the capability of multidisciplinary care is an integral part of contemporary oncology care. Appropriate infrastructure is necessary to empower this network to deliver personalized precision care to their patients. Providing decision support as cancer care becomes exponentially more complex with new diagnostic and therapeutic choices remains challenging. City of Hope has developed a Pyramidal Decision Support Framework to address these challenges, which were exacerbated by the COVID pandemic, health plan restrictions, and growing geographic site diversity. Optimizing efficient and targeted decision support backed by multidisciplinary cancer expertise can improve individual patient treatment plans to achieve improved care and survival wherever patients are treated.
Keywords: complex case discussions; decision support; oncology pathways; personalized medicine; subspecialty expertise complex case discussions; decision support; oncology pathways; personalized medicine; subspecialty expertise

Share and Cite

MDPI and ACS Style

Bosserman, L.D.; Mambetsariev, I.; Ladbury, C.; Barzi, A.; Johnson, D.; Morse, D.; Deaville, D.; Smith, W.; Rajurkar, S.; Merla, A.; et al. Pyramidal Decision Support Framework Leverages Subspecialty Expertise across Enterprise to Achieve Superior Cancer Outcomes and Personalized, Precision Care Plans. J. Clin. Med. 2022, 11, 6738. https://doi.org/10.3390/jcm11226738

AMA Style

Bosserman LD, Mambetsariev I, Ladbury C, Barzi A, Johnson D, Morse D, Deaville D, Smith W, Rajurkar S, Merla A, et al. Pyramidal Decision Support Framework Leverages Subspecialty Expertise across Enterprise to Achieve Superior Cancer Outcomes and Personalized, Precision Care Plans. Journal of Clinical Medicine. 2022; 11(22):6738. https://doi.org/10.3390/jcm11226738

Chicago/Turabian Style

Bosserman, Linda D., Isa Mambetsariev, Colton Ladbury, Afsaneh Barzi, Deron Johnson, Denise Morse, Debbie Deaville, Wade Smith, Swapnil Rajurkar, Amartej Merla, and et al. 2022. "Pyramidal Decision Support Framework Leverages Subspecialty Expertise across Enterprise to Achieve Superior Cancer Outcomes and Personalized, Precision Care Plans" Journal of Clinical Medicine 11, no. 22: 6738. https://doi.org/10.3390/jcm11226738

APA Style

Bosserman, L. D., Mambetsariev, I., Ladbury, C., Barzi, A., Johnson, D., Morse, D., Deaville, D., Smith, W., Rajurkar, S., Merla, A., Hajjar, G., Kim, D., Fricke, J., Trisal, V., & Salgia, R. (2022). Pyramidal Decision Support Framework Leverages Subspecialty Expertise across Enterprise to Achieve Superior Cancer Outcomes and Personalized, Precision Care Plans. Journal of Clinical Medicine, 11(22), 6738. https://doi.org/10.3390/jcm11226738

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