It is becoming increasingly evident that Social Determinants (SD) are key factors in determining the well-being of an individual and can negatively impact clinical conditions when these social needs are not met. Numerous studies have shown the impact of SD factors. For example, a National Academy of Medicine Report stated that “Medical care is estimated to account for only 10-20 percent of the modifiable contributors to healthy outcomes for a population [7]. The other 80 to 90 percent are sometimes broadly called the SDoH”. Significant resources are expended by non-clinical organizations to deliver social and human services to address SD needs. For these non-clinical organizations, their work focuses on the person or individual, their social relationships, and providing social services that can improve the well-being of the individual. The US department for the Administration of Children and Families and other federal and state agencies are using FHIR-based systems to assist in delivering better outcomes for their populations by addressing SD factors with appropriate and qualified human and social services. During this work, they have found that FHIR can be difficult to provide solutions when working with individuals who need social services and with organizations who provide social services. Within HL7, it is evident that FHIR has become the standard for developing new applications. FHIR has proven its ability to deliver clinical applications using a Patient-Centric perspective. The objective of this project is to determine the best path forward for implementing FHIR-based solutions that need to address the SD needs and work with organizations who provide those services while retaining its current capability to address clinical and behavioral concerns and activities. Because of this objective, a constraint of this project is an outcome presented must be backward compatible with the FHIR R5.0.0-ballot release. This project will be driven by Use Cases, where different Approaches will be developed for each Use Case, and Evaluation Criteria will be applied to each Approach for each Use Case. The Use Cases will have documented Persona(s). There will be at least one Use Case that focuses on providing the individual only a social service in a social domain. There will also be at least one Use Case where the Persona has documented issues in clinical, behavioral, and social determinants domains. At the present time, it is anticipated there will be at 3-4 Use Cases. During the socialization of this project within the HL7 community, several Approaches have been recommended. This project will test different Approaches. At a minimum, there will be two Approaches tested. One will be an enhancements to the FHIR Standard to enable Person-Centric semantics and relationships. The second Approach will be to use the present FHIR R5 published specification to address the Use Cases. If there are additional resources available for the project, additional Approaches will be considered such as developing new FHIR profiles and exploring development of FHIR extensions For the Person-Centric approach, the project will develop a high-level, informative, conceptual Domain Analysis Model (DAM). Based on ACF’s experience and socialization within the HL7 community, the following Evaluation Criteria will be considered for each Use Case for each Approach. An objective of the project is to create the necessary information to ballot. 1. Privacy, security, and legal considerations: Identify concerns when the semantics used to define the role of the individual in a FHIR-based systems may raise issues because of legal and regulatory considerations. 2. Bi-directional exchange of digital information: Exchange in the Use Cases between FHIR-based systems such as the ACF’s care coordination system, ODH, and other non-FHIR systems that capture SD data and social relationships. 3. Human communications between participants providing services to the individual when the description of the role of the individual is important. 4. Development and re-use of software such as Artificial Intelligence, Machine Learning , and other analytical applications: Many of this class of applications are developed by non-clinical Subject Matter Experts who do not have the concept of the role of a Patient in their vocabulary. Not being able to represent terms in the appropriate semantics may, at best, require additional data wrangling in order to leverage these capabilities and this expertise. All use cases, technical artifacts, minutes from scheduled program meetings, and other information will be accessible for the project from the HSS Home Page. Finally, although the objective of this project is to evaluate multiple approaches, the goal of the project is to increase the scope and membership of the HL7 community by providing an Approach using the FHIR standard they can be embraced by all to achieve better outcomes for the populations all are attempting to help.