Submitted by HCapon on
PACIO Project Recommends Value Set Adoption
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Data Class: Health Status Assessments (Draft V4)
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Data Elements: Functional Status, Mental/Cognitive Status, Disability Status (Draft V4)
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Recommendation: Adopt the value sets developed for the “Personal Functioning and Engagement” IG as part of the USCDI V3 updates to the U.S. Core IG to incorporate Functional Status and Cognitive Status data elements.
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Rationale: The PACIO (Post-Acute Care Interoperability) Project, established February 2019, is a collaborative effort between industry, government, and other stakeholders, with the goal of establishing a framework for the development of FHIR implementation guides to facilitate health information exchange. Functional and Mental/Cognitive Status are important data classes that have widespread use in all healthcare settings and sharing the content of standardized PAC assessments (some of which are federally required) with non-PAC providers (e.g., hospitals, physicians) would improve the quality of care and facilitate care coordination during transitions of care. These instruments use a consistent framework mapped to HIT standards for functional status, contain administrative and clinical patient data, can be considered as individual data elements (mobility, pressure ulcer, transportation, social isolation, etc.) or a “questionnaire” of grouped data elements together (MDS, OASIS, IRFPAI, FASI etc.) The PACIO Community wishes to update the ONC/USCDI with current efforts relating to several of the data elements under the proposed USCDI V4 data class of Health Status (Health Concerns, Functional Status, Disability Status, and Mental/Cognitive Status). The PACIO Community recognized the value of creating data models (like Gravity’s SDOH) that allow for expansion across multiple domains. As a result, PACIO created a new FHIR Implementation Guide (IG), “Personal Functioning and Engagement,” which consolidates PACIO’s prior published IGs (STU1) “Cognitive Status” and “Functional Status”. The PACIO group also is incorporating data elements of communication, swallowing, and hearing to the “Personal Functioning and Engagement” IG currently under development. Currently, the Personal Functioning and Engagement IG data structures focus on observation/ assessment data. However, the IG could include future expansion using additional resources as the work matures. The concept of “Personal Functioning and Engagement” encompasses both an individual’s abilities (positive strengths) and disabilities (impairments) across all types of functioning. The PACIO Community examined and incorporated the International Classification of Functioning, Disability and Health (ICF) as a conceptual framework that underpins this new PACIO Personal Functioning and Engagement IG. PACIO’s current work focuses on ICF “Body Functions” including mental functions, sensory functions (including hearing), voice and speech functions, and ingestion functions (swallowing). Current PACIO focus for ICF “Activities and Participation” functions include Learning and Applying Knowledge, Communication, Mobility, and Self-care.







Submitted by HCapon on
PACIO Project Recommends Change to Disability Status
Data Class: Health Status Assessments (Draft V4)
Data Elements: Functional Status, Mental/Cognitive Status, Disability Status (Draft V4)
Recommendation: Remove the Disability Status data element from the Health Status data class and instead add a new data element entitled, “Disability” to the patient demographic data class.
Rationale: The PACIO (Post-Acute Care Interoperability) Project, established February 2019, is a collaborative effort between industry, government, and other stakeholders, with the goal of establishing a framework for the development of FHIR implementation guides to facilitate health information exchange. The PACIO Community supports CMS and CDC submission, which reflect their view that identifying a person with a disability does not necessarily have any bearing on how healthy a person is or the status of one’s health. However, collecting and transmitting data on disability in a standardized way alongside other demographic factors is vital to recognition of disability as a key component of identity and allows analysis of outcomes and conditions in an intersectional way, incorporating race/ethnicity, age, sex, and disability together for a more comprehensive understanding of patient demographics.