Literature DB >> 28059689

An "integrated health neighbourhood" framework to optimise the use of EHR data.

Siaw-Teng Liaw1, Simon De Lusignan2.   

Abstract

General practice should become the hub of integrated health neighbourhoods (IHNs), which involves sharing of information to ensure that medical homes are also part of learning organisations that use electronic health record (EHR) data for care, decision making, teaching and learning, quality improvement and research. The IHN is defined as the primary and ambulatory care services in a locality that relates largely to a single hospital-based secondary care service provider and is the logical denominator and unit of comparison for the optimal use of EHR data and health information exchange (HIE) to facilitate integration and coordination of care. Its size may vary based on the geography and requirements of the population, for example between city, suburban and rural areas. The conceptual framework includes context; integration of data, information and knowledge; integration of clinical workflow and practice; and inter-professional integration to ensure coordinated shared care to deliver safe and effective services that are equitable, accessible and culturally respectful. We illustrate how this HIE-supported IHN vision may be achieved with an Australian case study demonstrating the integration of linked pseudonymised records with knowledge- and evidence-based guidelines using semantic web tools and informatics-based methods, researching causal links bewteen data quality and quality of care and the key issues to address. The data presented in this paper form part of the evaluation of the informatics infrastructure - HIE and data repository - for its reliability and utility in supporting the IHN. An IHN can only be created if the necessary health informatics infrastructure is put in place. Integrated care may struggle to be effective without HIE.

Entities:  

Keywords:  EHR; data analytics; integrated health neighbourhood; medical home

Mesh:

Year:  2016        PMID: 28059689     DOI: 10.14236/jhi.v23i3.826

Source DB:  PubMed          Journal:  J Innov Health Inform        ISSN: 2058-4555


  2 in total

Review 1.  Quality assessment of real-world data repositories across the data life cycle: A literature review.

Authors:  Siaw-Teng Liaw; Jason Guan Nan Guo; Sameera Ansari; Jitendra Jonnagaddala; Myron Anthony Godinho; Alder Jose Borelli; Simon de Lusignan; Daniel Capurro; Harshana Liyanage; Navreet Bhattal; Vicki Bennett; Jaclyn Chan; Michael G Kahn
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

Review 2.  Understanding digital health ecosystem from Australian citizens' perspective: A scoping review.

Authors:  Abraham Oshni Alvandi; Chris Bain; Frada Burstein
Journal:  PLoS One       Date:  2021-11-15       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.