Innovating the Personalization of Stratified Survivorship Care Pathways: Using a Cancer Data Ecosystem to Improve Care Access, Outcomes, Efficiency, and Costs.

Autor:	Alfano CM; Northwell Health Cancer Institute, New York, NY, USA.; Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA.; Center for Personalized Health, Feinstein Institutes for Medical Research, New York, NY, USA., Suarez-Almazor M; Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Rodriguez MA; Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Palos GR; Clinical Protocol Administration, Survivorship Programs, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Gilmore KR; Survivorship Programs, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jazyk:	angličtina
Zdroj:	Journal of the National Cancer Institute. Monographs [J Natl Cancer Inst Monogr] 2021 Sep 03; Vol. 2021 (57), pp. 3-9.
DOI:	10.1093/jncimonographs/lgaa011
Abstrakt:	New models of survivorship care are needed that improve outcomes for the growing number of cancer survivors, address the increasing complexity of their health needs, and deal with the shortage of clinicians and rising costs of this care. Technology can aid the delivery of personalized, stratified survivorship care pathways where the intensity of care, the care setting, and the providers required for that care vary with survivors' needs. Building a cancer data ecosystem of connected data streams that supports and learns from each patient can be used to streamline care, enhance efficiency, reduce costs, and facilitate research. This manuscript describes the input, analytics, and output components of the cancer data ecosystem that must be built and connected and also provides a real-world use case of how such a system could transform care in a large US comprehensive cancer center. (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
Databáze:	MEDLINE
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