Optimisation of an AI based clinical decision support system of symptom analysis in clinical settingsA prospective validation study
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 5,000
- 试验地点
- 1
- 主要终点
- 1. To validate existing Data-based CDSS symptom repository in OPD and IPD settings by evaluating clinicians real time feedback on the symptom checklist
研究概览
简要总结
This study aims to validatethe symptom repository and identify the strengths and limitations of the CDSS,offering insights that can enhance its diagnostic accuracy, functionality andacceptance among healthcare professionals
The AI based clinical decision support system(CDSS) in symptom analysis will demonstrate a statistically significantimprovement in clinical decision-making accuracy in real-world clinicalsettings compared to conventional decision-making processes
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 69.00 Year(s)（—）
- 性别
- All
入选标准
- •OPD and IPD patients under MEDICINE DEPARTMENT of AIIMS RISHIKESH.
- •Patients who give consent to participate in the study.
排除标准
- •Incomplete Data: Cases where data collection is incomplete or compromised leading to gaps in the required information for analysis
- •Patients whose visited MEDICINE department for investigation purpose example medical certificate.
- •Patients whose clinical conditions not eligible for evaluation by the Medicine Department referral cases.
结局指标
主要结局
1. To validate existing Data-based CDSS symptom repository in OPD and IPD settings by evaluating clinicians real time feedback on the symptom checklist
时间窗: Total duration of Study is 18 months divided in 12 months of Data collection phase and 3 months each for data analysis and data re implementation and analysis phase.
次要结局
- 1. To predict clinical diagnosis as per expert recommendation.(2. To implement the optimized AI-solution in national portal e-Sanjeevani.)