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The Efficiency of Writing Endoscopic Reports by Artificial Intelligence and Physicians: a Randomized Controlled Trial

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT04275609
Recruitment Status : Not yet recruiting
First Posted : February 19, 2020
Last Update Posted : February 19, 2020
Sponsor:
Information provided by (Responsible Party):
Xiuli Zuo, Shandong University

Brief Summary:
The purpose of this study is to compare the efficiency of writing endoscopic reports by artificial intelligence and physicians through a randomized controlled trial.

Condition or disease Intervention/treatment Phase
Gastrointestinal Disease Other: AI generated report Other: physicians writing report Not Applicable

Detailed Description:
Digestive endoscopy permits early detection of gastrointestinal diseases and improving the patients' quality of life. However, writing endoscopic report takes a lot of manpower and time, reducing the efficiency of endoscopy. Our center has developed a structured diagnostic report generation system for digestive endoscopy, which can generates the report by artificial intelligence. Here, we compare the efficiency of writing endoscopic reports by artificial intelligence and physicians through a randomized controlled trial.

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Study Type : Interventional  (Clinical Trial)
Estimated Enrollment : 80 participants
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Single (Outcomes Assessor)
Primary Purpose: Diagnostic
Official Title: The Efficiency of Writing Endoscopic Reports by Artificial Intelligence and Physicians: a Randomized Controlled Trial
Estimated Study Start Date : February 20, 2020
Estimated Primary Completion Date : March 20, 2020
Estimated Study Completion Date : March 30, 2020

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Endoscopy

Arm Intervention/treatment
Experimental: Artificial Intelligence generating endoscopic report
In this group, the endoscopic report was generated by artificial intelligence (AI) based on the structured diagnostic report generation system.
Other: AI generated report
After the endoscopic procedure, the physicians click the structured reporting button of computer to automatically complete the report through the structured diagnostic report generation system. The physicians only make minor corrections to the report.

Active Comparator: Physicians writing endoscopic report
In this group, the endoscopic report was writing by physicians.
Other: physicians writing report
After the endoscopic procedure, the physicians writing the report in computer according the procedure.




Primary Outcome Measures :
  1. The time spent writing reports [ Time Frame: Intraoperative ]
    Sum of the time for writing gastroscopic report and colonoscopic report。



Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years to 80 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Criteria

Inclusion Criteria:

  • patients aged between 18 and 80 years;
  • patients undergoing gastroscopy and colonoscopy examination with anesthesia;
  • patients able to give informed consent

Exclusion Criteria:

  • patients with the contraindications to endoscopic examination;
  • a history of gastrointestinal cancers;
  • allergic to anaesthetics in previous medical history;
  • the endoscopic procedure cannot be completed due to stenosis, obstruction, solid food or complications of anaesthesia.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04275609


Contacts
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Contact: Xiuli Zuo, MD,PhD 15588818685 zuoxiuli@sdu.edu.cn

Sponsors and Collaborators
Shandong University
Investigators
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Principal Investigator: Xiuli Zuo, MD,PhD Qilu Hospital of Shandong University
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Responsible Party: Xiuli Zuo, Director of Qilu Hospital gastroenterology department, Shandong University
ClinicalTrials.gov Identifier: NCT04275609    
Other Study ID Numbers: 2020SDU-QILU-G002
First Posted: February 19, 2020    Key Record Dates
Last Update Posted: February 19, 2020
Last Verified: February 2020

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Xiuli Zuo, Shandong University:
Endoscopic Report
Artificial Intelligence
Gastrointestinal Disease
Writing Efficiency
Additional relevant MeSH terms:
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Gastrointestinal Diseases
Digestive System Diseases