TY - GEN
T1 - Translating social determinants of health into standardized clinical entities
AU - Watkins, Michael
AU - Viernes, Benjamin
AU - Nguyen, Viet
AU - Rojas Mezarina, Leonardo
AU - Silva Valencia, Javier
AU - Borbolla, Damian
N1 - Publisher Copyright:
© 2020 European Federation for Medical Informatics (EFMI) and IOS Press.
PY - 2020/6/16
Y1 - 2020/6/16
N2 - Social determinants of health (SDH) are a valuable source of health information which still are not fully utilized in the clinical space. Knowing that a certain patient has trouble finding transportation, has a potentially hazardous relationship with a family member or close relative, is currently unemployed, or various other social factors would allow providers to tailor treatment plans in a way to best help that patient. However, these SDH must be gathered, represented, and stored in a standardized way before they can be leveraged by informatics tools designed for health providers. This process of translating SDH to standardized clinical entities includes two main steps. The first is a collaborative effort to establish an ontology of medical terminology codes (i.e., ICD, SNOMED, LOINC, etc.) which can be used to uniformly represent SDH as coded concepts. The second is a collaborative effort to use the FHIR standard to create profiles and extensions which will allow FHIR resources to be used to store the coded SDH as clinical entities. Each of these steps has their own complexities that must be considered and accounted for in future efforts to create interoperable clinical informatics solutions which utilize SDH.
AB - Social determinants of health (SDH) are a valuable source of health information which still are not fully utilized in the clinical space. Knowing that a certain patient has trouble finding transportation, has a potentially hazardous relationship with a family member or close relative, is currently unemployed, or various other social factors would allow providers to tailor treatment plans in a way to best help that patient. However, these SDH must be gathered, represented, and stored in a standardized way before they can be leveraged by informatics tools designed for health providers. This process of translating SDH to standardized clinical entities includes two main steps. The first is a collaborative effort to establish an ontology of medical terminology codes (i.e., ICD, SNOMED, LOINC, etc.) which can be used to uniformly represent SDH as coded concepts. The second is a collaborative effort to use the FHIR standard to create profiles and extensions which will allow FHIR resources to be used to store the coded SDH as clinical entities. Each of these steps has their own complexities that must be considered and accounted for in future efforts to create interoperable clinical informatics solutions which utilize SDH.
KW - FHIR
KW - Interoperability
KW - Social determinants of health
KW - Translational informatics
UR - http://www.scopus.com/inward/record.url?scp=85086919826&partnerID=8YFLogxK
U2 - 10.3233/SHTI200205
DO - 10.3233/SHTI200205
M3 - Conference contribution
C2 - 32570429
AN - SCOPUS:85086919826
T3 - Studies in Health Technology and Informatics
SP - 474
EP - 478
BT - Digital Personalized Health and Medicine - Proceedings of MIE 2020
A2 - Pape-Haugaard, Louise B.
A2 - Lovis, Christian
A2 - Madsen, Inge Cort
A2 - Weber, Patrick
A2 - Nielsen, Per Hostrup
A2 - Scott, Philip
PB - IOS Press
T2 - 30th Medical Informatics Europe Conference, MIE 2020
Y2 - 28 April 2020 through 1 May 2020
ER -