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| Name | Class |
|---|---|
| Catharina Ziekenhuis Eindhoven | OTHER |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
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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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Questionnaire | Other | Questionnaire concerning artificial intelligence and its implementation in healthcare. GI patients and GI physicians will be provided with slightly different questionnaires. |
| Measure | Description | Time Frame |
|---|---|---|
| The knowledge on AI investigated by means of a questionnaire | The knowledge on AI in healthcare among gastroenterology patients and physicians, investigated by means of a questionnaire. | 6 months |
| The experience with AI investigated by means of a questionnaire | The experience with AI (in healthcare) among gastroenterology patients and physicians, investigated by means of a questionnaire. | 6 months |
| The opinion on AI investigated by means of a questionnaire | The oninion on AI in healthcare among gastroenterology patients and physicians, investigated by means of a questionnaire. | 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Willingness of physicians to use AI in (gastroenterology) healthcare | The willingness to apply AI in (gastroenterology) healthcare among gastroenterology physicians. | 6 months |
| Willingness to apply AI in (gastroenterology) healthcare |
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Inclusion Criteria:
Exclusion Criteria:
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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.
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| Name | Affiliation | Role |
|---|---|---|
| Ad Masclee, Prof Dr MD | Maastricht Universitair Medisch Centrum | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Maastricht University Medical Center | Maastricht | Limburg | 6202AZ | Netherlands | ||
| Catharina Ziekenhuis Eindhoven |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31593701 | Background | 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. | |
| 31304332 | Background | 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. |
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Data collected for the study, including individual participant data, will be made available upon request. This data includes deidentified participant data. Additional documents that will be made available are the study protocol, the statistical analysis plan, the questionnaires, and the informed consent forms. Data will be available following publication with no end date. Requests should be methodologically sound proposals with the purpose to achieve aims in the approved proposal. Researchers who request the data should direct the proposal to q.vanderzander@maastrichtuniversity.nl to gain access. Data requestors will need to sign a data access agreement after approval of a proposal.
Data will be available following publication with no end date.
Requests should be methodologically sound proposals with the purpose to achieve aims in the approved proposal. Data requestors will need to sign a data access agreement after approval of a proposal.
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| ID | Term |
|---|---|
| D011795 | Surveys and Questionnaires |
| ID | Term |
|---|---|
| D003625 | Data Collection |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
| D017531 | Health Care Evaluation Mechanisms |
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The willingness of gastroenterology patients for their physicians to apply AI in (gastroenterology) healthcare.
| 6 months |
| Advantages and disadvantages of AI use in (gastroenterology) healthcare | Important advantages and disadvantages of AI use in (gastroenterology) healthcare among gastroenterology patients and physicians. | 6 months |
| Potential domains within gastroenterology and hepatology for AI use | Potential domains within gastroenterology and hepatology for AI use indicated by GI physicians. | 6 months |
| Mandatory infrastructure for AI use in healthcare | The availability of technical facilities and infrastructures within endoscopy to implement and apply AI in Dutch hospitals. | 6 months |
| Eindhoven |
| North Brabant |
| 5623 EJ |
| Netherlands |
| 28386037 | Background | 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. |
| 31072803 | Background | 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. |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |