Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision

Physiatry is a medical specialty focused on improving functional outcomes in patients with a variety of medical conditions that affect the brain, spinal cord, peripheral nerves, muscles, bones, joints, ligaments, and tendons. Social determinants of health (SDH) play a key role in determining therape...

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Autores principales:	Rosalynn R. Z. Conic, Carolyn Geis, Heather K. Vincent
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	big data physical function outcomes physiatry physical medicine and rehabilitation social determinants of health Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/d64b82fa7ecd4fae9885250119fdbaf8
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spelling	oai:doaj.org-article:d64b82fa7ecd4fae9885250119fdbaf82021-11-11T10:24:50ZSocial Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision2296-256510.3389/fpubh.2021.738253https://doaj.org/article/d64b82fa7ecd4fae9885250119fdbaf82021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpubh.2021.738253/fullhttps://doaj.org/toc/2296-2565Physiatry is a medical specialty focused on improving functional outcomes in patients with a variety of medical conditions that affect the brain, spinal cord, peripheral nerves, muscles, bones, joints, ligaments, and tendons. Social determinants of health (SDH) play a key role in determining therapeutic process and patient functional outcomes. Big data and precision medicine have been used in other fields and to some extent in physiatry to predict patient outcomes, however many challenges remain. The interplay between SDH and physiatry outcomes is highly variable depending on different phases of care, and more favorable patient profiles in acute care may be less favorable in the outpatient setting. Furthermore, SDH influence which treatments or interventional procedures are accessible to the patient and thus determine outcomes. This opinion paper describes utility of existing datasets in combination with novel data such as movement, gait patterning and patient perceived outcomes could be analyzed with artificial intelligence methods to determine the best treatment plan for individual patients in order to achieve maximal functional capacity.Rosalynn R. Z. ConicCarolyn GeisHeather K. VincentFrontiers Media S.A.articlebig dataphysical functionoutcomesphysiatryphysical medicine and rehabilitationsocial determinants of healthPublic aspects of medicineRA1-1270ENFrontiers in Public Health, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	big data physical function outcomes physiatry physical medicine and rehabilitation social determinants of health Public aspects of medicine RA1-1270
spellingShingle	big data physical function outcomes physiatry physical medicine and rehabilitation social determinants of health Public aspects of medicine RA1-1270 Rosalynn R. Z. Conic Carolyn Geis Heather K. Vincent Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision
description	Physiatry is a medical specialty focused on improving functional outcomes in patients with a variety of medical conditions that affect the brain, spinal cord, peripheral nerves, muscles, bones, joints, ligaments, and tendons. Social determinants of health (SDH) play a key role in determining therapeutic process and patient functional outcomes. Big data and precision medicine have been used in other fields and to some extent in physiatry to predict patient outcomes, however many challenges remain. The interplay between SDH and physiatry outcomes is highly variable depending on different phases of care, and more favorable patient profiles in acute care may be less favorable in the outpatient setting. Furthermore, SDH influence which treatments or interventional procedures are accessible to the patient and thus determine outcomes. This opinion paper describes utility of existing datasets in combination with novel data such as movement, gait patterning and patient perceived outcomes could be analyzed with artificial intelligence methods to determine the best treatment plan for individual patients in order to achieve maximal functional capacity.
format	article
author	Rosalynn R. Z. Conic Carolyn Geis Heather K. Vincent
author_facet	Rosalynn R. Z. Conic Carolyn Geis Heather K. Vincent
author_sort	Rosalynn R. Z. Conic
title	Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision
title_short	Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision
title_full	Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision
title_fullStr	Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision
title_full_unstemmed	Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision
title_sort	social determinants of health in physiatry: challenges and opportunities for clinical decision making and improving treatment precision
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/d64b82fa7ecd4fae9885250119fdbaf8
work_keys_str_mv	AT rosalynnrzconic socialdeterminantsofhealthinphysiatrychallengesandopportunitiesforclinicaldecisionmakingandimprovingtreatmentprecision AT carolyngeis socialdeterminantsofhealthinphysiatrychallengesandopportunitiesforclinicaldecisionmakingandimprovingtreatmentprecision AT heatherkvincent socialdeterminantsofhealthinphysiatrychallengesandopportunitiesforclinicaldecisionmakingandimprovingtreatmentprecision
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Social Determinants of Health in Physiatry: Challenges and Opportunities for Clinical Decision Making and Improving Treatment Precision

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