Combining patient pathway visualisation with prediction outcomes for chemotherapy treatments

Agastya Silvina, Juliana Kuster Filipe Bowles, Peter Hall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The Edinburgh Cancer Centre (ECC) contains NHS Lothian cancer patient data from multiple resources. However, the lack of proxy between numerous scattered resources hinders the capability to use the information collected in a useful way. ECC data is very varied and includes patient characteristics (e.g., age, weight, height, gender), information on diagnosis (e.g., stage, site, comorbidities) and treatments (e.g., surgery, chemotherapy, radiotherapy). The visualisation of a fraction of ECC data in the form of a patient timeline can aid and enhance the process of observing and identifying the overall condition of the patient, as well as understand how it may compare with cohorts of patients with similar characteristics. We have previously developed machine learning models for predicting treatment outcomes for breast cancer patient data that have undergone chemotherapy. In this paper, we describe, examine, and propose a solution to connect all these aspects and provide a bridge for several resources. This will make it easier for clinicians and other healthcare professionals to support service planning, deliver better quality of care and consequently improve service outcome within NHS Lothian.
Original languageEnglish
Title of host publication12th International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED 2020), 21-25 November 2020, Valencia, Spain
EditorsSandra Sendra, Yoshitoshi Murata, Javier Civit-Masot, Arian Rajh
PublisherInternational Academy, Research, and Industry Association
Pages110-115
ISBN (Electronic)9781612087634
Publication statusPublished - 22 Mar 2020
EventTwelfth International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED 2020) - Valencia, Spain
Duration: 21 Nov 202025 Nov 2020
Conference number: 12
https://www.iaria.org/conferences2020/eTELEMED20.html

Publication series

NameeTELEMED the International Conference on eHealth, Telemedicine, and Social Medicine
PublisherIARAI
ISSN (Electronic)2308-4359

Conference

ConferenceTwelfth International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED 2020)
Abbreviated titleeTELEMED 2020
Country/TerritorySpain
CityValencia
Period21/11/2025/11/20
Internet address

Keywords

  • Distributed health data
  • Diagnosis
  • Treatment timeline
  • Machine learning
  • Oncology

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