Clinical trials: Physician Workflow
Physician-Patient Relations, Nurse-Patient Relations
Adapt and Incorporate dDPP Into Clinical Workflows
This observational study will seek to adapt a digital diabetes prevention program (dDPP) tool suite into clinical workflows. This tool pushes key dDPP data elements (e.g.
- Trial name
- NCT04049500
- Testing
- Digital Diabetes Prevention Program (dDPP)
- Volunteers
- healthy volunteers welcome
- Sponsor
- NYU Langone Health
Quality of Care, Patient Satisfaction
Evaluating the Effectiveness of an AI-Powered Physician Assistant in Improving Patients' and Physicians' Satisfaction in Anaesthesiology Clinics
This trial aimed to evaluate the effectiveness of an AI-Powered Physician Assistant in improving patients' satisfaction with the quality of care.
- Conditions
- Quality of Care, Patient Satisfaction, Physician Satisfaction
- Trial name
- NCT07743320
- Testing
- AI-Powered Physicians' Assistant
- Where
- Pakistan
- Volunteers
- 180 people, healthy volunteers welcome
- Sponsor
- Aga Khan University
Physician Workflow
Validation of an Instrument to Qualitatively and Quantitatively Profile Hospitalist Workflow
The purpose of this study is to determine if a simple 'pick-list' menu applied to a handheld computer's time-motion program can be used to record reliably what a hospital-based doctor does while working a shift in the hospital.
- Trial name
- NCT00208663
- Where
- United States
- Volunteers
- healthy volunteers welcome
- Sponsor
- Emory University
Patient Centered Care, Integration in Clinical Workflows
Evaluating the Effectiveness of an AI-powered Physician Assistant in Improving Patients' and Physician's Satisfaction in an Outpatient Setting of a Tertiary Care Hospital.
Patients' satisfaction depends on several factors, including health care costs, access to care, and the waiting time to see a healthcare professional.
- Trial name
- NCT07756632
- Testing
- AI Physician Assistant
- Where
- Pakistan
- Volunteers
- 367 people, healthy volunteers welcome
- Sponsor
- Aga Khan University
Burnout, Healthcare Workers, Clinical Workflow Optimization
AI Tool to Reduce Clinician Documentation Burden
This study looks at whether a clinician-facing artificial intelligence (AI) tool can help outpatient doctors spend less time reviewing medical records and documenting care.
- Conditions
- Burnout, Healthcare Workers, Clinical Workflow Optimization, Health Information Technology, Electronic Health Records
- Trial name
- Evidently (NCT07498582)
- Testing
- AI Clinical Summarization Tool (Evidently)
- Where
- United States
- Volunteers
- 128 people, healthy volunteers welcome
- Sponsor
- University of North Carolina, Chapel Hill