Questionnaire Study Concerning Artificial Intelligence
Questionnaire Study Concerning Artificial Intelligence and Its Application in (Gastrointestinal) Healthcare - Patients' and Physicians' Perspectives
調査の概要
詳細な説明
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.
研究の種類
入学 (実際)
連絡先と場所
研究場所
-
-
Limburg
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Maastricht、Limburg、オランダ、6202AZ
- Maastricht University Medical Center
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Noord-Brabant
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Eindhoven、Noord-Brabant、オランダ、5623 EJ
- Catharina Ziekenhuis Eindhoven
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
サンプリング方法
調査対象母集団
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.
説明
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.
研究計画
研究はどのように設計されていますか?
デザインの詳細
コホートと介入
グループ/コホート |
介入・治療 |
|---|---|
|
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. |
Questionnaire concerning artificial intelligence and its implementation in healthcare.
GI patients and GI physicians will be provided with slightly different questionnaires.
|
|
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. |
Questionnaire concerning artificial intelligence and its implementation in healthcare.
GI patients and GI physicians will be provided with slightly different questionnaires.
|
この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
The knowledge on AI investigated by means of a questionnaire
時間枠:6 months
|
The knowledge on AI in healthcare among gastroenterology patients and physicians, investigated by means of a questionnaire.
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6 months
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The experience with AI investigated by means of a questionnaire
時間枠:6 months
|
The experience with AI (in healthcare) among gastroenterology patients and physicians, investigated by means of a questionnaire.
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6 months
|
|
The opinion on AI investigated by means of a questionnaire
時間枠:6 months
|
The oninion on AI in healthcare among gastroenterology patients and physicians, investigated by means of a questionnaire.
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6 months
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Willingness of physicians to use AI in (gastroenterology) healthcare
時間枠:6 months
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The willingness to apply AI in (gastroenterology) healthcare among gastroenterology physicians.
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6 months
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Willingness to apply AI in (gastroenterology) healthcare
時間枠:6 months
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The willingness of gastroenterology patients for their physicians to apply AI in (gastroenterology) healthcare.
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6 months
|
|
Advantages and disadvantages of AI use in (gastroenterology) healthcare
時間枠:6 months
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Important advantages and disadvantages of AI use in (gastroenterology) healthcare among gastroenterology patients and physicians.
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6 months
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Potential domains within gastroenterology and hepatology for AI use
時間枠:6 months
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Potential domains within gastroenterology and hepatology for AI use indicated by GI physicians.
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6 months
|
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Mandatory infrastructure for AI use in healthcare
時間枠:6 months
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The availability of technical facilities and infrastructures within endoscopy to implement and apply AI in Dutch hospitals.
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6 months
|
協力者と研究者
捜査官
- 主任研究者:Ad Masclee, Prof Dr MD、Maastricht Universitair Medisch Centrum
出版物と役立つリンク
一般刊行物
- 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.
- 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.
- 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.
- 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.
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
- METC 2020-2281
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
IPD プランの説明
IPD 共有時間枠
IPD 共有アクセス基準
IPD 共有サポート情報タイプ
- STUDY_PROTOCOL
- SAP
- ICF
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
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