TY - JOUR
T1 - Language matters
T2 - Precision health as a cross-cutting care, research and policy agenda
AU - Payne, Philip R.O.
AU - Detmer, Don E.
N1 - Publisher Copyright:
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association
PY - 2020/4/1
Y1 - 2020/4/1
N2 - The biomedical research and healthcare delivery communities have increasingly come to focus their attention on the role of data and computation in order to improve the quality, safety, costs, and outcomes of both wellness promotion and care delivery. Depending on the scale of such efforts, and the environments in which they are situated, they are referred to variably as personalized or precision medicine, population health, clinical transformation, value-driven care, or value-based transformation. Despite the original intent of many efforts and publications that have sought to define personalized, precision, or data-driven approaches to improving health and wellness, the use of such terminology in current practice often treats said activities as discrete areas of endeavor within minimal cross-linkage across or between scales of inquiry. We believe that this current state creates numerous barriers that are preventing the advancement of relevant science, practice, and policy. As such, we believe that it is necessary to amplify and reaffirm our collective understanding that these fields share common means of inquiry, differentiated only by the units of measure being utilized, their sources of data, and the manner in which they are executed. Therefore, in this perspective, we explore and focus attention on such commonalities and then present a conceptual framework that links constituent activities into an integrated model that we refer to as a precision healthcare system. The presentation of this framework is intended to provide the basis for the types of shared, broad-based, and descriptive language needed to reference and realize such a framework.
AB - The biomedical research and healthcare delivery communities have increasingly come to focus their attention on the role of data and computation in order to improve the quality, safety, costs, and outcomes of both wellness promotion and care delivery. Depending on the scale of such efforts, and the environments in which they are situated, they are referred to variably as personalized or precision medicine, population health, clinical transformation, value-driven care, or value-based transformation. Despite the original intent of many efforts and publications that have sought to define personalized, precision, or data-driven approaches to improving health and wellness, the use of such terminology in current practice often treats said activities as discrete areas of endeavor within minimal cross-linkage across or between scales of inquiry. We believe that this current state creates numerous barriers that are preventing the advancement of relevant science, practice, and policy. As such, we believe that it is necessary to amplify and reaffirm our collective understanding that these fields share common means of inquiry, differentiated only by the units of measure being utilized, their sources of data, and the manner in which they are executed. Therefore, in this perspective, we explore and focus attention on such commonalities and then present a conceptual framework that links constituent activities into an integrated model that we refer to as a precision healthcare system. The presentation of this framework is intended to provide the basis for the types of shared, broad-based, and descriptive language needed to reference and realize such a framework.
KW - Clinical transformation
KW - Personalized medicine
KW - Population health
KW - Precision health
KW - Precision medicine
KW - Public health
KW - Value-based care
KW - Value-driven care
UR - http://www.scopus.com/inward/record.url?scp=85082147807&partnerID=8YFLogxK
U2 - 10.1093/jamia/ocaa009
DO - 10.1093/jamia/ocaa009
M3 - Review article
C2 - 32100012
AN - SCOPUS:85082147807
SN - 1067-5027
VL - 27
SP - 658
EP - 661
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 4
ER -