How prompt engineering can address complex healthcare challenges

Prompt engineering plays a significant role in enhancing the usage of AI applications for getting better results while using Large Language Models. The process involves using effective and contextually rich input prompts to receive desired responses from the model. Designing a prompt is crucial in guiding the model for more accurate and contextually relevant responses.

There are several applications of prompt engineering in the healthcare industry, some of the use cases are listed below:

Support decision making for clinicians:
Clinicians can make use of the prompts in taking better decisions while using AI system for diagnosis, treatments and provide patient assistance.

Research and development:
Scientists in R&D find it handy to query the scientific databases generating hypothesis especially during the drug discovery phase around target identification, drug optimization, dose estimation and in-silico development. The prompt engineering is utilized to refine the queries into the vast research databases thereby enhancing the efficiency of the research efforts.

Patient engagement:
Through prompt engineering, the communication with the patients could improve for better patient engagement by enabling AI to personalize the patient interactions providing requested information and support them in a conversational manner.

Training and education for healthcare:
Training and Education is a key sector where healthcare professionals can leverage AI for various queries from the learning community. Prompts can help with providing relevant information with accuracy including latest training which enhances the learning experience for professionals saving lot of time in getting any basic information and addressing queries.

SME support:
AI enabled chatbots and virtual health assistants help the Subject Matter Experts to address complex healthcare challenges and make the overall process easier for expert opinion for any given scenario on health-related queries.

Healthcare data analysis:
Enabling data for analysis by healthcare professionals using AI to pull the information from the medical records, research databases and other repositories help the research data community for delivering more value to the patient care. The process using prompts should make it quicker and accurate. INDIAai