Interoperability with multiple Fast Healthcare Interoperability Resources (FHIR®) profiles and versions

被引:1
作者
Kramer, Mark A. [1 ,3 ]
Moesel, Chris [2 ]
机构
[1] MITRE Corp, Hlth Innovat Ctr, Bedford, MA USA
[2] MITRE Corp, Open Hlth Solut Dept, Bedford, MA USA
[3] MITRE Corp, Hlth Innovat Ctr, 202 Burlington Rd, Bedford, MA 01730 USA
关键词
health information exchange; health information interoperability; FHIR; HL7;
D O I
10.1093/jamiaopen/ooad001
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective: To provide a method for evaluating the interoperability of Fast Healthcare Interoperability Resources (FHIR (R)) clients and servers supporting different FHIR resources, profiles, and versions, and to determine the feasibility of FHIR servers supporting multiple FHIR Implementation Guides (IGs). Materials and Methods: A method of analysis, the FHIR Interoperability Table (FHIT), is proposed. The FHIT involves the concept of a "catchment," the type or category of data that a profile is intended to represent. The solution first aligns sender and/or receiver profiles according to their catchments, then determines the relationship between the admittances of those profiles, and finally interprets the relationship in terms of the feasibility of data exchange. Results: The FHIT method is demonstrated by analyzing the FHIR-based exchange between the US Core IG and the International Patient Summary IG. Discussion: The last few years have witnessed a significant growth in Fast Healthcare Interoperability Resources (FHIR), resulting in several major versions of FHIR, hundreds of IGs, and thousands of FHIR profiles. Previous work and available tools have not fully addressed the problem of interoperability between clients and servers that support different FHIR resources, profiles, and versions. Conclusion: Application of the proposed methodology allows interoperability problems in FHIR networks to be identified. In some cases, new profiles that resolve those conflicts can be derived, using intersections of the original profiles. There is a need for additional tools that implement the proposed method, as well as structured methods for expressing catchments in FHIR profiles.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] FHIR Based ContSys Ontology to Enable Continuity of Care Data Interoperability
    Das, Subhashis
    Hussey, Pamela
    PHEALTH 2022, 2022, 299 : 139 - 144
  • [32] mHealth4Afrika-Implementing HL7 FHIR Based Interoperability
    Baskaya, Mert
    Yuksel, Mustafa
    Erturkmen, Gokce Banu Laleci
    Cunningham, Miriam
    Cunningham, Paul
    MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 20 - 24
  • [33] Making Science Computable Using Evidence-Based Medicine on Fast Healthcare Interoperability Resources: Standards Development Project
    Soares, Andrey
    Schilling, Lisa M.
    Richardson, Joshua
    Kommadi, Bhagvan
    Subbian, Vignesh
    Dehnbostel, Joanne
    Shahin, Khalid
    Robinson, Karen A.
    Afzal, Muhammad
    Lehmann, Harold P.
    Kunnamo, Ilkka
    Alper, Brian S.
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2024, 26
  • [34] Making Science Computable Using Evidence-Based Medicine on Fast Healthcare Interoperability Resources: Standards Development Project
    Soares, Andrey
    Schilling, Lisa M.
    Richardson, Joshua
    Kommadi, Bhagvan
    Subbian, Vignesh
    Dehnbostel, Joanne
    Shahin, Khalid
    Robinson, Karen A.
    Afzal, Muhammad
    Lehmann, Harold P.
    Kunnamo, Ilkka
    Alper, Brian S.
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2024, 26
  • [35] Mapping Injection Order Messages to Health Level 7 Fast Healthcare Interoperability Resources to Collate Infusion Pump Data
    Doi, Shunsuke
    Yokota, Shinichiroh
    Nagae, Yugo
    Takahashi, Koichi
    Aoki, Mitsuhiro
    Ohe, Kazuhiko
    APPLIED CLINICAL INFORMATICS, 2024, 15 (01): : 1 - 9
  • [36] Fast Healthcare Interoperability Resources for Inpatient Deterioration Detection With Time-Series Vital Signs: Design and Implementation Study
    Tseng, Tzu-Wei
    Su, Chang-Fu
    Lai, Feipei
    JMIR MEDICAL INFORMATICS, 2022, 10 (10)
  • [37] An Automated Fast Healthcare Interoperability Resources-Based 12-Lead Electrocardiogram Mobile Alert System for Suspected Acute Coronary Syndrome
    Hur, Sujeong
    Lee, Jeanhyoung
    Kim, Taerim
    Choi, Jong Soo
    Kang, Mira
    Chang, Dong Kyung
    Cha, Won Chul
    YONSEI MEDICAL JOURNAL, 2020, 61 (05) : 416 - 422
  • [38] A Generic Transformation Approach for Complex Laboratory Data Using the Fast Healthcare Interoperability Resources Mapping Language: Method Development and Implementation
    Kruse, Jesse
    Wiedekopf, Joshua
    Kock-Schoppenhauer, Ann-Kristin
    Essenwanger, Andrea
    Ingenerf, Josef
    Ulrich, Hannes
    JMIR MEDICAL INFORMATICS, 2024, 12
  • [39] Machine Learning-Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review
    Balch, Jeremy A.
    Ruppert, Matthew M.
    Loftus, Tyler J.
    Guan, Ziyuan
    Ren, Yuanfang
    Upchurch, Gilbert R.
    Ozrazgat-Baslanti, Tezcan
    Rashidi, Parisa
    Bihorac, Azra
    JMIR MEDICAL INFORMATICS, 2023, 11
  • [40] Using HL7 FHIR to achieve interoperability in patient health record
    Saripalle, Rishi
    Runyan, Christopher
    Russell, Mitchell
    JOURNAL OF BIOMEDICAL INFORMATICS, 2019, 94