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.
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 367
- 试验地点
- 1
- 主要终点
- Patient's satisfaction
研究概览
简要总结
Patients' satisfaction depends on several factors, including health care costs, access to care, and the waiting time to see a healthcare professional. In Pakistan, hospitals face overcrowding, which in turn results in long waiting times, particularly in outpatient departments. Longer waiting times not only hurt patients' experience and hospitals' performance but also increase stress on the physicians.
These challenges can be addressed with the effective use of Artificial Intelligence (AI) and related technologies. By leveraging machine learning algorithms and advanced data prediction models, AI can augment healthcare providers in clinical decision-making and streamline their work processes. However, these applications are largely studied and implemented in high-income countries, creating a lack of evidence from low- and middle-income countries.
Hence, a randomized controlled trial will be conducted to assess the effectiveness of an AI physician assistant in improving patient and physician satisfaction within outpateint clincis of a resource constrained setting.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 盲法
- Single (Outcomes Assessor)
盲法说明
The person assigning the intervention and the outcomes assessor will be blinded
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •(Patients):
- •Informed consent before enrolment.
- •Adults aged 18 years and above.
- •Initial patients registering at the clinic during the entire trial duration.
- •Possession of a digital device for an OTP (one-time password)
- •Can read and write Urdu and/or English
- •Inclusion Criteria (Physicians):
- •Informed Consent
- •Agree to include AI physician assistant in their workflows
排除标准
- •(Patients):
- •Patients requiring emergency care
- •Patients who refuse to complete the history process with the AI physician assistant.
- •Exclusion Criteria (Physicians):
- •- Physicians from non-surgical specialties
研究组 & 干预措施
AI Physician Assistant
The intervention group will comprise participants enrolled in the application (AI physician assistant) in addition to the standard of care
The study participant allocated to the intervention will interact with the AI-physician assistant application "Hami" before they consult with the physician. The application will collect the medical history of the patient. This will then be followed by an AI-generated clinical summary, which their physicians will receive before the consultation begins. Physicians will review this summary and ask further questions of patients if required, and update the patient's record through an inbuilt scribe feature in the application.
干预措施: AI Physician Assistant (Other)
Standard of Care
The arm will comprise participants who receive standard care. In surgical clinics, standard care involves residents seeing the patients before the physicians. However, as part of the study, we will include physicians who agree to see patients without residents taking the history first. Hence, the trial uses the term 'physician' as part of the control group or standard care terminology.
结局指标
主要结局
Patient's satisfaction
时间窗: Every day from each patient for a period of 2 months
Patient satisfaction is conceptualized through the lens of perceived quality of care, which is influenced by the effective utilization of waiting time and the provision of patient-centred care. Effective utilization of waiting time refers to patients' perceptions regarding whether their waiting time was used meaningfully during the visit. The domains of patient-centred care have been adapted from the Institute of Medicine (IOM) framework and include respect for patients' values and preferences, coordinated and integrated care, adequacy of information and communication, emotional support, involvement of family and friends, and physical comfort. These questions have been adapted based on the study objectives. The questionnaire will include demographic questions and five-point Likert-scale items (Strongly Agree to Strongly Disagree) and one open-ended question to obtain additional feedback regarding patients' experiences and satisfaction.
次要结局
- Physician Satisfaction(From each physician at the end of each day for two months.)
- Mean consultation time(Every day for each patient consultation for a period of 2 months)
研究者
Saqib Bakhshi
Assistant Professor
Aga Khan University