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Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR.
Brant, Emily B; Kennedy, Jason N; King, Andrew J; Gerstley, Lawrence D; Mishra, Pranita; Schlessinger, David; Shalaby, James; Escobar, Gabriel J; Angus, Derek C; Seymour, Christopher W; Liu, Vincent X.
  • Brant EB; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. branteb@upmc.edu.
  • Kennedy JN; Clinical Research, Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Pittsburgh, PA, USA. branteb@upmc.edu.
  • King AJ; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. branteb@upmc.edu.
  • Gerstley LD; Assistant Professor of Critical Care and Emergency Medicine, University of Pittsburgh School of Medicine,, 200 Lothrop Street, #607, Pittsburgh, PA, 15261, USA. branteb@upmc.edu.
  • Mishra P; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Schlessinger D; Clinical Research, Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Pittsburgh, PA, USA.
  • Shalaby J; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Escobar GJ; Kaiser Permanente Division of Research, Oakland, CA, USA.
  • Angus DC; Kaiser Permanente Division of Research, Oakland, CA, USA.
  • Seymour CW; Kaiser Permanente Division of Research, Oakland, CA, USA.
  • Liu VX; Elimu Informatics, Richmond, CA, USA.
NPJ Digit Med ; 5(1): 44, 2022 Apr 04.
Article in English | MEDLINE | ID: covidwho-1773999
ABSTRACT
The development of a shared data infrastructure across health systems could improve research, clinical care, and health policy across a spectrum of diseases, including sepsis. Awareness of the potential value of such infrastructure has been heightened by COVID-19, as the lack of a real-time, interoperable data network impaired disease identification, mitigation, and eradication. The Sepsis on FHIR collaboration establishes a dynamic, federated, and interoperable system of sepsis data from 55 hospitals using 2 distinct inpatient electronic health record systems. Here we report on phase 1, a systematic review to identify clinical variables required to define sepsis and its subtypes to produce a concept mapping of elements onto Fast Healthcare Interoperability Resources (FHIR). Relevant papers described consensus sepsis definitions, provided criteria for sepsis, severe sepsis, septic shock, or detailed sepsis subtypes. Studies not written in English, published prior to 1970, or "grey" literature were prospectively excluded. We analyzed 55 manuscripts yielding 151 unique clinical variables. We then mapped variables to their corresponding US Core FHIR resources and specific code values. This work establishes the framework to develop a flexible infrastructure for sharing sepsis data, highlighting how FHIR could enable the extension of this approach to other important conditions relevant to public health.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Journal: NPJ Digit Med Year: 2022 Document Type: Article Affiliation country: S41746-022-00580-2

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Reviews / Systematic review/Meta Analysis Language: English Journal: NPJ Digit Med Year: 2022 Document Type: Article Affiliation country: S41746-022-00580-2