Using visualisation methods to analyse referral networks within community health care among patients aged 65 years and over

Ryan A Palmer*, Martin Utley, Naomi Fulop, Stephen O'Connor

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

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Abstract

Community health care services are considered integral to overcoming future problems in health care. However, this sector faces its own challenges, such as how to organise services to provide coordinated care given: their physical distribution, patients using multiple services, increased patient use and differing patient needs. The aim of this work was to explore, analyse and understand patterns in community referrals for patients aged 65 years and over, and their use of multiple services through data visualisation. Working with a large community provider, these methods helped researchers and service managers to investigate questions that were otherwise difficult to answer from raw data. Each map focuses on a different characteristic of community referrals: patients reusing services, concurrent uses of different services and patterns of subsequent referrals. We apply these methods to routine patient data and discuss their implications in designing of a single point of access – a service for streamlining referrals.
Original languageEnglish
Pages (from-to)354-375
Number of pages22
JournalHealth Informatics Journal
Volume26
Issue number1
DOIs
Publication statusPublished - 8 Feb 2019

Bibliographical note

The acceptance date for this record is provisional and based upon the month of publication for the article.

Keywords

  • community health care
  • data visualisation
  • electronic patient records
  • network analysis
  • patient referrals

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