Driving Healthcare Transformation Through Generative AI
Figure 4-2 : Technical architecture of a GenAI-based patient care system 24 .
Figure 4-2 shows how an LLM that is pre-trained , is fine-tuned with tasks specific data , to cater to the use cases that it is expected to serve . Next , such a fine-tuned model is deployed alongside a Hospital ’ s EHR system . Such a deployment then has access to the relevant patient information , to generate summaries , personalized patient instructions at the time of discharge and referrals to specialists . Likewise , it can generate an explanation of benefits for the patients when they receive their medical bills .
5 DISCUSSION
In this paper we looked at a GenAI-based solution for use in the healthcare industry . Such a medical LLM solution will drive efficiency in the healthcare-resource constrained industry which has seen a lot of burnouts during and after the pandemic . The first three use cases show how it can reduce the human effort for the healthcare professionals as they take care of the patients .
Such a system can help to improve and augment patient care in hospitals and in physician practices . Since this solution involves healthcare physicians and paraprofessionals to review the GenAI provided patient-facing content , the human-in-the-loop principle ensures patient safety
24 https :// www . nature . com / articles / s41586-023-06160-y 102
March 2024