Odgers Berndtson: What Every Healthcare Leader Should Know About AI
AI is a large buzz word and gets discussed plenty in the business world, but how might it affect the world of healthcare?
Carmel Gibbons of Odgers Berndtson notes in this article:
- AI, machine learning (which is computers teaching themselves new things while processing huge amounts of data) and neural networks (a machine learning that emulates human's logical processes), are all matching humans in visual and speech recognition. For example, diagnosing certain skin cancers.
- AI needs lots of data to work properly, so issues like medical records, patient confidentiality and data integrity need to be resolved in order for AI to be implemented.
- Currently AI is being used for medical imaging and diagnostics, patient data insights, risk analysis, as well as online consultations via apps and chatbots.
- AI could also power a virtual nurse for ongoing medical care, or help on the administration front by combing through large amounts of healthcare records.
- Issues like answering ethical concerns, reassuring the public, overcoming regulatory obstacles and integrating new technologies into existing systems would still need to be addressed.
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