AI Native Case Study #18: Lifespan Health System

👏 Lifespan is transforming surgical consent forms from complex jargon to accessible language via GPT-4.

🌟 Background
Lifespan is Rhode Island’s largest healthcare system, known for its commitment to improving patient outcomes and health literacy.

🏔️ Challenge
Surgical consent forms have long been written at a college reading level, creating barriers for a significant portion of the patient population, with over half of Americans reading at or below the 6th grade level.

💡 Solution
Utilizing GPT-4, Dr. Rohaid Ali and Dr. Fatima Mirza restructured consent forms, simplifying them to a middle school reading level while undergoing a thorough review by legal and medical experts.

🚀 Benefit
📉 Reduced consent forms from three pages to one, easing patient anxiety.
🤝 Increased patient comprehension and comfort during surgical conversations, as noted in positive feedback from countless patients.
📖 Expanded the application to other medical forms, enhancing accessibility across the healthcare system.
📝 Published findings in NEJM AI to promote industry-wide practice improvements.

📊 Evaluation
Ethical AI: (9/10) The initiative prioritizes patient understanding and dignity while minimizing bias.
AI Native: (9/10) Utilizes AI-driven solutions to enhance accessibility and patient engagement seamlessly.
Application Modernization: (8/10) Streamlines documentation processes, improving efficiency in medical communication significantly.

Statement:
1) This case is sourced from OpenAI’s official website, linked to https://openai.com/index/lifespan/.
2) Evaluation results are generated by AI, lack of data support, reference learning only.

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