Clinical trials: Medical History Taking
Virtual Patient, Social Robots
AI-generated Feedback in Social Robotic Virtual Patients
The goal of this quasi-experimental educational study is to learn whether AI-generated post-consultation feedback in social robotic virtual patient interactions improves medical students' clinical performance in medical…
- Conditions
- Virtual Patient, Social Robots, Artificial Intelligence (AI), Large Language Model
- Trial name
- NCT07277829
- Testing
- AI post consultation feedback
- Where
- Sweden
- Volunteers
- 115 people
- Sponsor
- Ioannis Parodis
Diagnostic Error
Quality of Medical History Taking and Diagnostic Accuracy
This prospective randomized simulator-based single-blind trial aimed to investigate the effects of initial cues and history taking skills on diagnostic accuracy
- Trial name
- NCT05760859
- Testing
- Initial cue
- Where
- Switzerland
- Volunteers
- 198 people, healthy volunteers welcome
- Sponsor
- University Hospital, Basel, Switzerland
Medical Education, Clinical Competence
Intelligent Simulated Patient System for Gastroenterology Education
This randomized controlled trial evaluated a large language model-based Intelligent Simulated Patient System (ISPS) for gastroenterology history-taking education.
- Conditions
- Medical Education, Clinical Competence, History Taking
- Trial name
- NCT07714655
- Testing
- Intelligent Simulated Patient System (ISPS), Conventional Clinical Teaching
- Where
- China
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- The First Affiliated Hospital of Zhejiang Chinese Medical University
History Taking, Artificial Intelligence (AI)
Safety, Feasibility, and Acceptability of the MINERVA Voice Conversational Agent for Emergency Department History-Taking
This study evaluates whether an artificial intelligence (AI) conversational agent called MINERVA (Medical Interface for Navigating the Emergency Room with Voice Assistance) can safely and feasibly gather medical histories from…
- Trial name
- MINERVA-HX (NCT07877883)
- Testing
- MINERVA AI Chatbot
- Where
- United States
- Volunteers
- 250 people
- Sponsor
- Beth Israel Deaconess Medical Center
Decision Making, Computer-assisted
Diagnosis Assessment With Diaana #3
Single-center, unblinded, 2:1 parallel pseudo-randomized efficacy trial. In the intervention group only, resident physicians will be assisted by the automated medical history-taking device "Diaana" during their consultations in…
- Conditions
- Decision Making, Computer-assisted, General Practitioners, Patient Engagement
- Trial name
- NCT03939650
- Testing
- Diaana
- Where
- Switzerland
- Sponsor
- Adrien Schwitzguebel
Medical History Taking, Artificial Intelligence in Clinical Workflow
Augmenting Clinical Workflow With a Structured Chatbot for Patient History Collection and Diagnostic Support
Doctors spend much of each visit collecting the patient's medical history, and incomplete histories can delay diagnosis. This study tests an AI chatbot that interviews patients before their appointment and produces a structured…
- Conditions
- Medical History Taking, Artificial Intelligence in Clinical Workflow, Outpatient Clinical Encounter
- Trial name
- CHAT-HX (NCT07860762)
- Testing
- AI-Based Structured History-Taking Chatbot
- Where
- Germany
- Volunteers
- 100 people
- Sponsor
- Massachusetts General Hospital
Internal Disease
Build-up Computed Assisted History Taking, Physical Examination and Diagnosis System of Emergency Patient Through Machine Learning (II)
In emergency department（ED）, physicians need to complete patient evaluation and management in a short time, which required different history taking, and physical examination skill in healthcare system.
- Trial name
- MLD (NCT05596929)
- Testing
- Artificial intelligence
- Where
- Taiwan
- Volunteers
- 3,000 people
- Sponsor
- National Taiwan University Hospital
History-taking Training, GPT
Simulated Patient and AI-based Roleplay for History-taking
The goal of this clinical trial is to evaluate whether AI-based simulated patient training can improve clinical reasoning and history-taking skills in medical students.
- Conditions
- History-taking Training, GPT, Medical Education
- Trial name
- SPAR-H (NCT06766383)
- Testing
- GPT-simulated patients, traditional role-playing
- Where
- China
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- zhen wang
Parkinson's Disease
A US Study That Observes How Parkinson's Disease Changes Over Time in Patients Who Still Have Movement Symptoms Despite Taking Parkinson's Medications
This is an observational study in which data are collected and studied from Parkinson's disease patients who have movement symptoms despite taking standard Parkinson's medications.
- Trial name
- NCT07330258
- Testing
- Standard of Care
- Where
- 27 sites in United States
- Volunteers
- 300 people
- Sponsor
- Bayer
Dental Education, Artificial Intelligence (AI)
AI Virtual Patient Training for Dental Student History Taking
This randomized study evaluated whether an artificial intelligence-assisted virtual patient could support third-year dental students in practicing medical and dental history taking.
- Conditions
- Dental Education, Artificial Intelligence (AI), Virtual Patient, History Taking
- Trial name
- NCT07688668
- Testing
- Gemini-Based AI Virtual-Patient Training, Conventional Role-Play Training
- Where
- Vietnam
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Hue University of Medicine and Pharmacy
Clinical Interview
Effects on Anxiety in Physiotherapy Students After Simulation as an Active Method for Learning the Clinical Enterview
The aim of the main study is to find out the effects on anxiety in physiotherapy students after role playing in the learning of the clinical history.
- Trial name
- NCT05866601
- Testing
- Role-playing for learning the clinical interview
- Where
- 2 sites in Spain
- Volunteers
- 28 people
- Sponsor
- Mayuben Private Clinic
Patient Computer Dialog
Patient Computer Dialog in Primary Care
With this clinical study, we hoped to find out if interactive, computer-based medical interviews, when carefully tested and honed and made available to patients in their homes on the Internet, will improve both the efficiency and…
- Trial name
- NCT00386776
- Testing
- Computer-based medical history
- Where
- United States
- Volunteers
- 45 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center
Decision Making, Computer-assisted
DD Assessment With Diaana #2
Single-center, unblinded, 1:1 parallel pseudo-randomized efficacy trial. In the intervention group only, resident physicians will be assisted by the automated medical history-taking device "Diaana" during their consultations in…
- Conditions
- Decision Making, Computer-assisted, General Practitioners, Patient Engagement
- Trial name
- DiaanaRCT#2 (NCT03901495)
- Testing
- Diaana
- Where
- Switzerland
- Volunteers
- 100 people
- Sponsor
- Adrien Schwitzguebel
Hypertension, Diabetes
Improving the Quality of Patient Care by Using a Clinical Expert System.
Aim: To investigate the quality of history taking by physician and computer-based system. Patients: 100 inpatients presenting at the RBK for the first time and treated in the departments of nephrology and cardiology.
- Conditions
- Hypertension, Diabetes, Hypercholesterolemia, Vasculitis
- Trial name
- CLEOS (NCT00430755)
- Testing
- Computer-assisted history, physician taken history, Computer-assisted history taking
- Where
- Germany
- Volunteers
- 98 people
- Sponsor
- Robert Bosch Gesellschaft für Medizinische Forschung mbH (RBMF)
Symptom Tracking, Cardiology
AI-CLINIC: A Prospective Multisite Feasibility and Safety Study of AI-Assisted Pre-Consultation History-Taking in Outpatient Cardiology
An accurate medical diagnosis depends on the doctor getting a complete picture of the patient's health story, but clinic visits are short.
- Conditions
- Symptom Tracking, Cardiology, Medical History Taking
- Trial name
- AI-CLINIC (NCT07883304)
- Testing
- AI Interview
- Volunteers
- 60 people
- Sponsor
- London Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph's
Depression, Diabetes
Training Doctors to Support Patient Self-Care of Depression
This study will determine whether practicing primary care providers (PCPs) can be trained to support patient self-care of depression and co-existing diabetes during office visits, and begin to explore whether this might improve…
- Trial name
- NCT01618552
- Testing
- SEE IT training, Knowledge enhancement
- Where
- 2 sites in United States
- Volunteers
- 182 people
- Sponsor
- University of California, Davis
Anesthesia
Clinical History Taking Versus the Addition of an Electronic File Consultation in Pediatric Pre-operative Assessments
The investigators are studying the difference between the history taken from parents prior to their child's anesthesia to information gleaned routinely from a patient information system called Ofek.
- Trial name
- NCT02161497
- Where
- Israel
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Meir Medical Center
Education, Medical, Undergraduate, Medical History Taking
Measuring Quality of Medical Student Performance at Contextualizing Care
During the project, fourth-year medical students participating in a Medicine sub-internship will be randomized to an intervention group or a control group; the intervention group will receive additional training in the…
- Conditions
- Education, Medical, Undergraduate, Medical History Taking, Diagnosis
- Trial name
- NCT01088438
- Testing
- Contextualization workshop
- Where
- United States
- Volunteers
- 189 people
- Sponsor
- University of Illinois at Chicago
Neuralgia, Postherpetic
Lamictal in the Treatment of Post-Herpetic Neuralgia
To assess the efficacy of Lamictal for the treatment of pain and reduction of allodynia in patients with post herpetic neuralgia.
- Trial name
- NCT00295776
- Testing
- Lamictal in the treatment of Post-Herpetic Neuralgia
- Where
- United States
- Sponsor
- George Washington University
Health Services Research
Using Anonymous Data From A Digital Tool for Medical History-Taking To Improve Healthcare Services
This study aims to understand how people use a mobile app that helps them record their symptoms before going to the doctor. Patients use the app on a tablet or other digital device.
- Trial name
- NCT06761105
- Where
- Germany
- Volunteers
- 20 people
- Sponsor
- University Hospital Goettingen