The US Core code “sdoh” is used to categorize SDOH for Assessments, Problems, Service Requests and QuestionnaireResponse. This concept enables API consumers to be able to separate out SDOH data when accessing patient information.

SDOH data relate to conditions in which people live, learn, work, and play and their effects on health risks and outcomes. Assessment Screenings can represent a structured evaluation of risk (e.g., PRAPARE, Hunger Vital Sign, AHC-HRSN screening tool) for any Social Determinants of Health domain such as food, housing, or transportation security.

There are supplemental templates and guidance for observations of Occupational Data for Health, nutrition and pregnancy that could be captured in the Social History Observation, and implementers may want to consider using those more specific templates in …

As a leading healthcare organization committed to advancing interoperability, patient care, and data security, we commend the Office of the National Coordinator for Health Information Technology (ONC) and the Assistant Secretary for Technology Policy (ASTP) for their ongoing efforts to refine and expand the USCDI standards.

2022年3月13日 · SDoH affect, influence, and determine a person’s health risk, preferences, barriers to care, and impact health outcomes. Consequently SDoH must be considered in planning care needs. SDoH are not a new phenomenon; the shift in recognition of their importance is new.

The intent of adding these SDOH data elements to US Core is to be able to use US Core Profiles along with a defined set of FHIR RESTful interactions to represent and access SDOH patient data. This is in contrast to the SDOH Clinical Care HL7 Implementation Guide.

If the CDA observation is an SDOH observation, use the US Core Observation Screening Assessment profile.

2022年6月1日 · When an Assessment Scale Observation is contained in a Problem Template instance that is a Social Determinant of Health problem, that Assessment scale MAY contain assessment scale observations that represent LOINC question and answer pairs from SDOH screening instruments.

Co-locating social and healthcare services is the best practice for ensuring closed loop referrals and integrated health/social service delivery. FFS models can provide reimbursements for SDOH activities like screening and EHR-data collection to incentivize implementation.

Data collection activities governed by these two agencies include social determinants of health (SDOH) data classes and elements, including individual data elements and coding requirements for documenting SDOH. Below is a summary of the current SDOH data elements and requirements implemented by both ONC and CMS.