Potential Renovation of Information Search Process with the Power of Large Language Model for Healthcare

TL;DR

This paper proposes enhancing the Six Stages of Information Search Model in healthcare by integrating Large Language Models, which improves query interpretation, information retrieval, and personalized health information access.

Contribution

It introduces a novel integration of LLMs into the traditional information search model specifically tailored for healthcare, optimizing each stage of the process.

Findings

LLMs significantly improve query interpretation in healthcare searches.

Enhanced information retrieval from complex medical databases.

Better access to personalized health information for professionals and patients.

Abstract

This paper explores the development of the Six Stages of Information Search Model and its enhancement through the application of the Large Language Model (LLM) powered Information Search Processes (ISP) in healthcare. The Six Stages Model, a foundational framework in information science, outlines the sequential phases individuals undergo during information seeking: initiation, selection, exploration, formulation, collection, and presentation. Integrating LLM technology into this model significantly optimizes each stage, particularly in healthcare. LLMs enhance query interpretation, streamline information retrieval from complex medical databases, and provide contextually relevant responses, thereby improving the efficiency and accuracy of medical information searches. This fusion not only aids healthcare professionals in accessing critical data swiftly but also empowers patients with reliable and personalized health information, fostering a more informed and effective healthcare environment.