AI in Healthcare Virtual Summit Session Recordings-Mining the Medical Record for Bone Health

Video Transcription

Video Summary

In this presentation from the AI and Healthcare Virtual Summit, an osteoporosis physician shared experiences in leveraging AI and data mining to enhance bone health management. The speaker, who leads the Sydney Partnership for Health Education Research and Enterprise (SPHERE), discussed the challenges of translating research into practice using AI in health. The focus was on the use of technology to mine medical records, particularly for osteoporosis management, and the similarities between this process and large-scale mining operations. <br /><br />Key insights include the transition from standalone clinical records to advanced data systems, the efficacy of AI in identifying osteoporotic fractures, and the essential role of executive support, community advocacy, and minimal workflow disruptions for successful implementation. The speaker acknowledged the complexities of identifying more osteoporosis patients than healthcare services can manage due to AI efficiency. Also emphasized was the integration of medical records and the importance of aligning data mining practices with ethical standards, regulatory compliance, and stakeholder cooperation, especially in the face of evolving technological capabilities.

Asset Subtitle

Christopher White, MBBS, PhD, FRACP
Endocrinologist at Prince of Wales Hospital
Randwick, Australia

Keywords

AI in healthcare

osteoporosis management

data mining

bone health

medical records

ethical standards

regulatory compliance

stakeholder cooperation

healthcare technology


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