Questionnaire Study Concerning Artificial Intelligence
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
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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.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Gastroenterology patients Patient receiving an endoscopic procedure because of regular care will be considered eligible for inclusion. Patients receive 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. Patients will be asked to complete a questionnaire concerning AI. No intervention will be administered. |
Other: Questionnaire
Questionnaire concerning artificial intelligence and its implementation in healthcare. GI patients and GI physicians will be provided with slightly different questionnaires.
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Gastroenterology physicians GI physicians (both gastroenterologists and gastroenterology fellows), participating in a yearly gastroenterology and hepatology training day, will be asked for their participation in this study. Physician will be asked to complete a questionnaire concerning AI. No intervention will be administered. |
Other: Questionnaire
Questionnaire concerning artificial intelligence and its implementation in healthcare. GI patients and GI physicians will be provided with slightly different questionnaires.
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Outcome Measures
Primary Outcome Measures
- The knowledge on AI investigated by means of a questionnaire [6 months]
The knowledge on AI in healthcare among gastroenterology patients and physicians, investigated by means of a questionnaire.
- The experience with AI investigated by means of a questionnaire [6 months]
The experience with AI (in healthcare) among gastroenterology patients and physicians, investigated by means of a questionnaire.
- The opinion on AI investigated by means of a questionnaire [6 months]
The oninion on AI in healthcare among gastroenterology patients and physicians, investigated by means of a questionnaire.
Secondary Outcome Measures
- Willingness of physicians to use AI in (gastroenterology) healthcare [6 months]
The willingness to apply AI in (gastroenterology) healthcare among gastroenterology physicians.
- Willingness to apply AI in (gastroenterology) healthcare [6 months]
The willingness of gastroenterology patients for their physicians to apply AI in (gastroenterology) healthcare.
- Advantages and disadvantages of AI use in (gastroenterology) healthcare [6 months]
Important advantages and disadvantages of AI use in (gastroenterology) healthcare among gastroenterology patients and physicians.
- Potential domains within gastroenterology and hepatology for AI use [6 months]
Potential domains within gastroenterology and hepatology for AI use indicated by GI physicians.
- Mandatory infrastructure for AI use in healthcare [6 months]
The availability of technical facilities and infrastructures within endoscopy to implement and apply AI in Dutch hospitals.
Eligibility Criteria
Criteria
Inclusion Criteria:
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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);
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Gastroenterologists working in Dutch hospitals;
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Gastroenterology fellows working in Dutch hospitals;
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Minimal age of 18 years old.
Exclusion Criteria:
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No appropriate understanding of the Dutch language;
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Not willing to sign informed consent;
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Objection to participate in medical scientific research, reported in the medical file.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Maastricht University Medical Center | Maastricht | Limburg | Netherlands | 6202AZ |
2 | Catharina Ziekenhuis Eindhoven | Eindhoven | Noord-Brabant | Netherlands | 5623 EJ |
Sponsors and Collaborators
- Maastricht University Medical Center
- Catharina Ziekenhuis Eindhoven
Investigators
- Principal Investigator: Ad Masclee, Prof Dr MD, Maastricht Universitair Medisch Centrum
Study Documents (Full-Text)
None provided.More Information
Publications
- 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.
- Le Berre C, Sandborn WJ, Aridhi S, Devignes MD, Fournier L, Smaïl-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. Review.
- 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.
- 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.
- METC 2020-2281