Clinical trial NCT05214625: Questionnaire Study Concerning Artificial Intelligence
Official title: Questionnaire Study Concerning Artificial Intelligence and Its Application in (Gastrointestinal) Healthcare - Patients' and Physicians' Perspectives
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Gastro-Intestinal Disorders
Keywords: Artificial intelligence
Patients' perspective
Physicians' perspective
Questionnaire
Lead sponsor: Maastricht University Medical Center
Sponsor class: OTHER
Collaborators: name: Catharina Ziekenhuis Eindhoven
First posted: 2022-01-31
Enrollment: 457
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Gastroenterology patients who will have an outpatient appointment for an endoscopic procedure in the context of the national bowel cancer screening program, because of gastrointestinal symptoms, or because of follow-up of previously diagnosed bowel diseases, in one of two Dutch hospitals between April 2020 and September 2020.

Gastroenterologists and gastroenterology fellows working in Dutch hospitals.

Brief summary: This study aims to investigate the knowledge, experience, and opinion on AI among gastroenterology (GI) patients, gastroenterologists, and GI-fellows, particularly concerning implementation and application of AI (in assisting clinicians) in healthcare. The secondary aims are to investigate (dis)advantages of AI use in healthcare and the availability of technical facilities and infrastructures within endoscopy to implement and apply AI in Dutch hospitals.

Detailed description: In recent years, important developments have been made in the field of artificial intelligence (AI). These developments have led to the large-scale application of AI in our everyday lives and AI-research within healthcare. A potentially promising application of AI lies in imaging analysis. For example, within gastroenterology this means the detection and classification of colorectal polyps and Barrett's neoplasia, disease severity scoring of inflammatory bowel diseases, and differentiating pancreatic cancer from chronic pancreatitis.

Despite the investments in AI-research, there is a lack in knowledge concerning patients' and physicians' perspectives on AI in healthcare. This prospective questionnaire study investigates these perspectives, obtaining data from both gastroenterology (GI) patients and GI-physicians within the Netherlands. The questionnaires focus on the knowledge, experience, and opinion of AI, particularly concerning the implementation of AI in (gastroenterology) healthcare. Furthermore, the current (endoscopic) infrastructure within Dutch hospitals will be investigated for its readnessy for AI.

Eligibility criteria: Inclusion Criteria:

* Gastrointestinal (GI) patients with an outpatient appointment in the gastroenterology department for an endoscopic procedure in the context of the Dutch national screening program, because of gastrointestinal symptoms, or because of follow-up of previously diagnosed bowel diseases (in one of the two participating hospitals);
* Gastroenterologists working in Dutch hospitals;
* Gastroenterology fellows working in Dutch hospitals;
* Minimal age of 18 years old.

Exclusion Criteria:

* No appropriate understanding of the Dutch language;
* Not willing to sign informed consent;
* Objection to participate in medical scientific research, reported in the medical file.

Primary outcomes:
measure: The knowledge on AI investigated by means of a questionnaire
timeFrame: 6 months
measure: The experience with AI investigated by means of a questionnaire
timeFrame: 6 months
measure: The opinion on AI investigated by means of a questionnaire
timeFrame: 6 months
Secondary outcomes:
measure: Willingness of physicians to use AI in (gastroenterology) healthcare
timeFrame: 6 months
measure: Willingness to apply AI in (gastroenterology) healthcare
timeFrame: 6 months
measure: Advantages and disadvantages of AI use in (gastroenterology) healthcare
timeFrame: 6 months
measure: Potential domains within gastroenterology and hepatology for AI use
timeFrame: 6 months
measure: Mandatory infrastructure for AI use in healthcare
timeFrame: 6 months
Other outcomes:
Locations:
city: Maastricht
country: Netherlands
facility: Maastricht University Medical Center
state: Limburg
city: Eindhoven
country: Netherlands
facility: Catharina Ziekenhuis Eindhoven
state: Noord-Brabant
Study officials:
affiliation: Maastricht Universitair Medisch Centrum
name: Ad Masclee, Prof Dr MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Le Berre C, Sandborn WJ, Aridhi S, Devignes MD, Fournier L, Smail-Tabbone M, Danese S, Peyrin-Biroulet L. Application of Artificial Intelligence to Gastroenterology and Hepatology. Gastroenterology. 2020 Jan;158(1):76-94.e2. doi: 10.1053/j.gastro.2019.08.058. Epub 2019 Oct 5.
citation: Shaban-Nejad A, Michalowski M, Buckeridge DL. Health intelligence: how artificial intelligence transforms population and personalized health. NPJ Digit Med. 2018 Oct 2;1:53. doi: 10.1038/s41746-018-0058-9. eCollection 2018.
citation: Labovitz DL, Shafner L, Reyes Gil M, Virmani D, Hanina A. Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy. Stroke. 2017 May;48(5):1416-1419. doi: 10.1161/STROKEAHA.116.016281. Epub 2017 Apr 6.
citation: Waymel Q, Badr S, Demondion X, Cotten A, Jacques T. Impact of the rise of artificial intelligence in radiology: What do radiologists think? Diagn Interv Imaging. 2019 Jun;100(6):327-336. doi: 10.1016/j.diii.2019.03.015. Epub 2019 May 6.