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A Multi-Agent Platform for Automating the Collection of Patient-Provided Clinical Feedback

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

Original languageEnglish
Title of host publicationProceedings of the International Conference on Autonomous Agents and Multiagent Systems
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages831-839
Number of pages9
Volume2
ISBN (Print)9781450334136
StatePublished - May 2015
EventInternational Conference on Autonomous Agents & Multiagent Systems 2015 - Istanbul, Turkey

Conference

ConferenceInternational Conference on Autonomous Agents & Multiagent Systems 2015
CountryTurkey
CityIstanbul
Period4/05/20158/05/2015

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King's Authors

Abstract

Clinical outcome measures are well-established quantitative assess- ments of medical treatment that are crucial for understanding the effectiveness of prescribed drugs. However, recent studies suggest that timely and long-term clinical outcome measures are not usually found in the patient records. The study attributes the lack of quantitative follow-up to the reluctance of the clinicians treating the patients, whose active schedules incline them to use (insufficient) brief descriptions of the cases, greatly reducing the quality of care. To ease the clinicians burden and improve the process of patient follow-up while simultaneously dealing with the complexity of our domain, we designed and deployed a multi-agent platform to automate the process of collecting patient-provided clinical out- come measures without clinicians intervention. The system also acts as a mediator between patients and scientists, by seeking patient consent to incorporate anonymised versions of the collected data into scientific studies to which the patients are found eligible. This paper presents the design, prototype and deployment results of our system, highlighting foreseen clinical merits and documenting challenges faced throughout our experience.

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