This organization standardizes clinical practice globally by using scientifically validated patient simulations to measure and improve healthcare quality. They deploy the EQIS platform, which utilizes AI technology and simulated patient encounters to provide real-time feedback to clinicians, particularly in low-and-middle-income countries. The core value is reducing variation in care delivery to lower costs and achieve better patient outcomes worldwide.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers in low-and-middle-income countries (LMICs) often lack access to standardized training and evaluation methods, leading to variations in clinical practice and suboptimal patient outcomes. Traditional methods of assessing clinical competence are resource-intensive and difficult to scale across diverse healthcare settings.
Solution
Peabody Health Philanthropies (PHP) offers the EQIS (E-Patient Quality Improvement and Standardization) platform, which uses scientifically validated, online simulated patient encounters to measure and standardize healthcare practices in LMICs. The platform presents healthcare professionals with realistic clinical scenarios, capturing their decisions across key domains of care, including patient history, physical exams, workup orders, diagnosis, management, and follow-up. Real-time, personalized feedback, complete with references and evidence-based explanations, is provided after each decision to promote continuous learning and improvement. By serially measuring clinical practice and providing AI-generated feedback, EQIS aims to reduce variations in care, improve patient outcomes, and lower the overall cost of healthcare delivery.
Target Audience
The primary target audience includes healthcare providers, hospitals, and healthcare systems in low-and-middle-income countries seeking to standardize clinical practices, improve patient outcomes, and reduce healthcare costs.
Features
- Online simulated patient scenarios covering core domains of clinical practice
- Real-time, personalized feedback with references and evidence-based explanations
- Detailed data capture of participant decision-making for performance evaluation
- Anonymized peer comparison to foster professional growth and reflection
- Integration with locally developed software to enhance clinical training
- Scientifically validated tool for repeatable and sustainable healthcare quality measurement