Unique ID issued by UMIN | UMIN000029216 |
---|---|
Receipt number | R000033394 |
Scientific Title | Development of a health education system through risk prediction and targeting using artificial intelligence based on national health insurance claim data and health information (Attached research: A test to improve the health guidance AI prototype) |
Date of disclosure of the study information | 2017/09/22 |
Last modified on | 2021/04/20 21:57:22 |
Development of a health education system through risk prediction and targeting using artificial intelligence based on national health insurance claim data and health information (Main research) + (Attached research: A test to improve the health guidance AI prototype) + (Attached research: Expanding target diseases)
Development of a health education system using artificial intelligence
Development of a health education system through risk prediction and targeting using artificial intelligence based on national health insurance claim data and health information (Attached research: A test to improve the health guidance AI prototype)
Development of a health education system using artificial intelligence
Japan |
Hypertension, Diabetes, Diabetic nephropathy, Chronic kidney disease, Myocardial infarction, Angina pectoris, Stroke, Transient ischemic attack, COPD, Heart failure
Nursing |
Others
NO
We will analyze national health insurance claim data and health information by AI. Then we target high risk patients and provide them appropriate health education programs selected by AI. We evaluate the feasibility for further AI development.
Others
Development of a system and the evaluation (Implement the developed health guidance AI prototype to patients, confirm the improvement effect of the behavioral changes of the patients, and obtain the evaluations of the improvements of the AI from the patients and nurses to improve the accuracy of the AI.) (Conduct and evaluate health guidance for patients with COPD and heart failure. Input the data to the AI built in the main research.)
Others
Others
Not applicable
Feasibility evaluation of the system (Attached research: (1) After the nurse provided the health guidance according to the health guidance provided by the AI, did the patient change behavior as planned? (2) The degree of agreement between the risks, health guidance content, and action goals presented by AI and the nurses' thoughts) (Attached research: Change levels of behaviors)
1. Physiological indicators: blood test (HbA1c, BS, CRE, BUN, UA, LDL- C, HDL-C, TC, TG, GOT, GPT, r-GTP, PT-INR, TP, ALB, HGB, K, P), urine test(urine protein, urine albumin), blood pressure, weight, pulse rate, fasting blood glucose(if patient has diabates and measure it)
2. Treatment change: medication, introduction of renal replacement therapy
3. Behavioral indicators: lifestyle, content of meals, presence or absence of smoking/drinking, behavioral goals and achievement (meal, exercise, medication/injection, self-monitoring)
4. Disease, development of disease/complication
5. Regulary visit to a clinic, presence or absence of hospitalization, reason for hospitalization
6. Results of questionnares (self-efficacy, QOL)
7. Records of personal health education, diet records, reports for physicians
8. Records of face-to-face instruction, voice record of telephone instruction
Interventional
Single arm
Non-randomized
Open -no one is blinded
Uncontrolled
1
Educational,Counseling,Training
Behavior,custom |
Implementation of disease management programs (acquisition of self-management skills and lifestyle change, 3 month-period) (Attached research: Implementation of AI-based disease management program (1-2 months)) (Attached research (COPD & HF): Self-management education (3 months)
20 | years-old | <= |
Not applicable |
Male and Female
Beneficiaries of national Health insurances or medical care system for elderly in the later stage of life, who live in Hiroshima prefecture, are outpatients of medical facilities, and meet all criteria from 1 to 5 listed below.
1. A patient who falls into one of the two.
(1) A patient with any of the following diseases: Hypertension, Diabetes, Diabetic nephropathy, Chronic kidney disease, Myocardial infarction, Angina pectoris, Stroke, Transient ischemic attack (including a patient who quit the treatment)
(2) Based on health check-up data, a patient who has Hypertension (Grade 2 hypertension: systolic BP >= 160mmHg or diastolic BP >= 100mmHg), Hyperglycemia (HbA1c >= 7.0% or fasting blood suger >= 130mg/dl), Reduction of kidney function (eGFR < 60 or urine protein >= 2+)
2. A patients was judged by their general physician or physician in charge intended to participate in this study
3. Age >= 20 years old of both sexes
4. Not being participated in another clinical study
5. A patient who agrees with the written consent form.
(Attached research)
Outpatients of Hiroshima University Hospital aged 20 years and over with the following disease: Diabetes mellitus/diabetic nephropathy (Stage 1-4), CKD (stage G1 to G4), myocardium Infarction/angina, stroke / TIA (up to modify Rankin Scale 3)
(Attached research)
Beneficiaries of national Health insurances or medical care system for elderly in the later stage of life, who live in Hiroshima prefecture, are outpatients of medical facilities. COPD: GOLD stage 2-4, HF: AHA/ACC stage B & C
1) A patient was judged by the nurses (who provide the program) as unable to implement the program
2) An inpatient
3) A patient at Renal Replacement Therapy (renal transplantation, treated with dialysis)
4) A patient who has a plan for renal transplantation within 6 months
5) A patient at end stage (be given a year to live)
6) Type 1 diabetes
7) In pregnacy
8) Dementia (HDS-R <= 20/30)
9) Those who have behavioral problems and be considered as difficult to continue the program by his/her primary physician, physician in charge of diabetic care or researcher
240
1st name | Michiko |
Middle name | |
Last name | Moriyama |
Hiroshima University
Graduate School of Biomedical and Health Sciences
734-8553
Hiroshima
082-257-5365
morimich@hiroshima-u.ac.jp
1st name | Michiko |
Middle name | |
Last name | Moriyama |
Hiroshima University
Graduate School of Biomedical and Health Sciences
734-8553
Hiroshima
082-257-5365
https://aipom.hiroshima-u.ac.jp/
morimich@hiroshima-u.ac.jp
Hiroshima University, The research project management committee for development of AI health education system
Japan Agency for Medical Research and Development (Until March 2020).
From April 2020, Hiroshima university & Hiroshima prefecture AI / IoT demonstration platform project
Japanese Governmental office
Hiroshima University research ethics committee
Kasumi 1-2-3 Minami-ku, Hiroshima, Japan
082-257-1752
protocol@cimr.hiroshima-u.ac.jp
NO
2017 | Year | 09 | Month | 22 | Day |
Unpublished
131
Delay expected |
Under journal submission
Completed
2017 | Year | 09 | Month | 14 | Day |
2017 | Year | 09 | Month | 14 | Day |
2017 | Year | 09 | Month | 14 | Day |
2021 | Year | 03 | Month | 31 | Day |
The attached research (A test of health guidance AI prototype) was discontinued on June 15, 2020 (Registered cases:0).
The attached research (Expanding target diseases: COPD & HF) was closed on Jan. 10, 2020, registered 24 cases, and 20 completed the study.
2017 | Year | 09 | Month | 20 | Day |
2021 | Year | 04 | Month | 20 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000033394