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

February 18, 2020 updated by: Xiuli Zuo, Shandong University
The purpose of this study is to compare the efficiency of writing endoscopic reports by artificial intelligence and physicians through a randomized controlled trial.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

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.

Study Type

Interventional

Enrollment (Anticipated)

80

Phase

  • Not Applicable

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 80 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / 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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The time spent writing reports
Time Frame: Intraoperative
Sum of the time for writing gastroscopic report and colonoscopic report。
Intraoperative

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Shandong University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

February 20, 2020

Primary Completion (Anticipated)

March 20, 2020

Study Completion (Anticipated)

March 30, 2020

Study Registration Dates

First Submitted

February 14, 2020

First Submitted That Met QC Criteria

February 18, 2020

First Posted (Actual)

February 19, 2020

Study Record Updates

Last Update Posted (Actual)

February 19, 2020

Last Update Submitted That Met QC Criteria

February 18, 2020

Last Verified

February 1, 2020

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2020SDU-QILU-G002

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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