UMIN-CTR Clinical Trial
| Unique ID issued by UMIN | UMIN000048499 |
|---|---|
| Receipt number | R000055270 |
| Scientific Title | The Utility of Clinical Decision Support from Machine Learning Model for Auscultation: Open-Label Randomized Controlled Pilot Trial |
| Date of disclosure of the study information | 2022/08/01 |
| Last modified on | 2024/02/05 07:49:02 |
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Basic information
Public title
The Utility of Clinical Decision Support from Machine Learning Model for Auscultation: Open-Label Randomized Controlled Pilot Trial
Acronym
The Utility of Clinical Decision Support from Machine Learning Model for Auscultation: Open-Label Randomized Controlled Pilot Trial
Scientific Title
The Utility of Clinical Decision Support from Machine Learning Model for Auscultation: Open-Label Randomized Controlled Pilot Trial
Scientific Title:Acronym
The Utility of Clinical Decision Support from Machine Learning Model for Auscultation: Open-Label Randomized Controlled Pilot Trial
Region
| Japan |
Condition
Condition
cardiopulmonary diseases
Classification by specialty
| Medicine in general | Cardiology | Pneumology |
Classification by malignancy
Others
Genomic information
NO
Objectives
Narrative objectives1
We developed the clinical decision support system of machine learning model to assist cardiopulmonary auscultation. We hypothesized the system improve the correct answer rate of auscultation.
Basic objectives2
Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase
Assessment
Primary outcomes
Total rate of correct answer
Key secondary outcomes
Correct answer rate for each sound
Self-confidence in the answer
Base
Study type
Interventional
Study design
Basic design
Parallel
Randomization
Randomized
Randomization unit
Individual
Blinding
Open -no one is blinded
Control
Active
Stratification
NO
Dynamic allocation
NO
Institution consideration
Blocking
Concealment
Intervention
No. of arms
2
Purpose of intervention
Diagnosis
Type of intervention
| Device,equipment |
Interventions/Control_1
The participant of intervention group auscultate the previous recorded sounds with clinical decision support system from machine learning model. They completed the types of sounds they recognized and the self-confidence in a structured questionnaire.
Interventions/Control_2
The participant of control group auscultate the previous recorded sounds. They completed the types of sounds they recognized and the self-confidence in a structured questionnaire.
Interventions/Control_3
Interventions/Control_4
Interventions/Control_5
Interventions/Control_6
Interventions/Control_7
Interventions/Control_8
Interventions/Control_9
Interventions/Control_10
Eligibility
Age-lower limit
| 20 | years-old | <= |
Age-upper limit
| Not applicable |
Gender
Male and Female
Key inclusion criteria
We recruit junior resident doctors and general internal medicine doctors from Dokkyo Medical University Hospital.
Key exclusion criteria
We exclude the doctors with hearing loss, and the doctors who was unsuitable to participate this study.
Target sample size
24
Research contact person
Name of lead principal investigator
| 1st name | Takanobu |
| Middle name | |
| Last name | Hirosawa |
Organization
Dokkyo Medical University
Division name
Department of Diagnostic and Generalist Medicine
Zip code
321-0293
Address
880 Kitakobayashi, Mibu-cho, Shimotsuga-gun, Tochigi
TEL
0282861111
hirosawa@dokkyomed.ac.jp
Public contact
Name of contact person
| 1st name | Takanobu |
| Middle name | |
| Last name | Hirosawa |
Organization
Dokkyo Medical University
Division name
Department of Diagnostic and Generalist Medicine
Zip code
321-0293
Address
880 Kitakobayashi, Mibu-cho, Shimotsuga-gun, Tochigi
TEL
0282861111
Homepage URL
hirosawa@dokkyomed.ac.jp
Sponsor or person
Institute
Dokkyo Medical University
Institute
Department
Personal name
Funding Source
Organization
Dokkyo Medical University
Organization
Division
Category of Funding Organization
Self funding
Nationality of Funding Organization
Japan
Other related organizations
Co-sponsor
Name of secondary funder(s)
IRB Contact (For public release)
Organization
The Ethics Committee of Dokkyo Medical University
Address
880 Kitakobayashi, Mibu-cho, Shimotsuga-gun, Tochigi
Tel
0282861111
r-kenkyu@dokkyomed.ac.jp
Secondary IDs
Secondary IDs
NO
Study ID_1
Org. issuing International ID_1
Study ID_2
Org. issuing International ID_2
IND to MHLW
Institutions
Institutions
Other administrative information
Date of disclosure of the study information
| 2022 | Year | 08 | Month | 01 | Day |
Related information
URL releasing protocol
Publication of results
Published
Result
URL related to results and publications
Number of participants that the trial has enrolled
24
Results
Results date posted
Results Delayed
Results Delay Reason
Date of the first journal publication of results
Baseline Characteristics
Participant flow
Adverse events
Outcome measures
Plan to share IPD
IPD sharing Plan description
Progress
Recruitment status
Completed
Date of protocol fixation
| 2022 | Year | 07 | Month | 25 | Day |
Date of IRB
| 2022 | Year | 07 | Month | 25 | Day |
Anticipated trial start date
| 2022 | Year | 07 | Month | 29 | Day |
Last follow-up date
| 2024 | Year | 12 | Month | 31 | Day |
Date of closure to data entry
Date trial data considered complete
Date analysis concluded
Other
Other related information
Management information
Registered date
| 2022 | Year | 07 | Month | 28 | Day |
Last modified on
| 2024 | Year | 02 | Month | 05 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000055270
