Sandeep Reddy
Speaker at AMLD Africa 2024
Sandeep has a background in Health Service Management, Medical Informatics, Public Health and Medicine. In addition to a medical degree, he has qualifications in medical informatics, management and public health. Following some years in clinical practice and medical education, Sandeep attained extensive experience managing various health service projects and formulating high-level policy in Australia, New Zealand and Europe. Sandeep has in the past focused on teaching and research in healthcare management and public health. He is now researching and teaching the application of artificial intelligence in healthcare, evaluation of health technology and hospital management.
At AMLD Africa
United States International University Africa, Nairobi, Kenya
Evaluating Large Language Models for Safe and Effective Use in Healthcare (Large language models)
Evaluating Large Language Models for Safe and Effective Use in Healthcare Large language models (LLMs) like ChatGPT show promise for transforming healthcare delivery through natural language processing applications. However, concerns exist regarding the potential for generating misinformation, lacking transparency, and perpetuating biases. This presents challenges for the safe and ethical adoption of LLMs in clinical settings. A comprehensive framework is proposed to evaluate LLMs' utility and governance when applied in healthcare. The framework incorporates natural language processing metrics along with assessment of translational value across capability, utility, and adoption dimensions. Governance components emphasizing fairness, transparency, trustworthiness, and accountability provide oversight for responsible LLM use. Together, these layers allow thorough, multifaceted analysis of benefits and risks to guide appropriate LLM adoption while ensuring patient safety. The suggested framework aids stakeholders in realizing LLMs' potential while proactively addressing limitations, supporting informed decisions around their healthcare integration.
