A Study on Optimization and Evaluation of the Visualization of Complex Algorithm Results in Remote Monitoring of COPD

Mathilde D Sander*, Rikke L Madsen, Sisse H. Laursen, Stine Hangaard

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Abstract

BACKGROUND: Artificial intelligence (AI) can potentially increase the quality of telemonitoring in chronic obstructive pulmonary disease (COPD). However, the output from AI is often difficult for clinicians to understand due to the complexity. This challenge may be accommodated by visualizing the AI results, however it hasn't been studied how this could be done specifically, i.e., considering which visual elements to include.

AIM: To investigate how complex results from a predictive algorithm for patients with COPD can be translated into easily understandable data for the clinicians.

METHODS: Semi-structured interviews were conducted to explore clinicians' needs when visualizing the results of a predictive algorithm. This formed a basis for creating a prototype of an updated user interface. The user interface was evaluated using usability tests through the "Think aloud" method.

RESULTS: The clinicians pointed out the need for visualization of exacerbation alerts and the development in patients' data. Furthermore, they wanted the system to provide more information about what caused exacerbation alerts. Elements such as color and icons were described as particularly useful. The usability of the prototype was primarily assessed as easily understandable and advantageous in connection to the functions of the predictive algorithm.

CONCLUSION: Predictive algorithm use in telemonitoring of COPD can be optimized by clearly visualizing the algorithm's alerts, clarifying the reasons for algorithm output, and by providing a clear overview of the development in the patient's data. This can contribute to clarity when the clinicians should act and why they should act on alerts from predictive algorithms.

OriginalsprogEngelsk
TitelTelehealth Ecosystems in Practice
RedaktørerMauro Giacomini, Lăcrămioara Stoicu-Tivadar, Gabriella Balestra, Arriel Benis, Stefano Bonacina, Alessio Bottrighi, Thomas M. Deserno, Parisis Gallos, Lenka Lhotska, Sara Marceglia, Alejandro C. Pazos Sierra, Samanta Rosati, Lucia Sacchi
Antal sider5
Vol/bind309
Publikationsdato20 okt. 2023
Sider23-27
ISBN (Trykt)978-1-64368-450-5
ISBN (Elektronisk)978-1-64368-451-2
DOI
StatusUdgivet - 20 okt. 2023
BegivenhedEuropean Federation for Medical Informatics Special Topic Conference: Telehealth Ecosystems in Practice - Politecnico di Torino, Torino, Italien
Varighed: 25 okt. 202327 okt. 2023
https://www.stc2023.org/

Konference

KonferenceEuropean Federation for Medical Informatics Special Topic Conference: Telehealth Ecosystems in Practice
LokationPolitecnico di Torino
Land/OmrådeItalien
ByTorino
Periode25/10/202327/10/2023
Internetadresse
NavnStudies in Health Technology and Informatics
ISSN0926-9630

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