Requirements Engineering for LLM: The Case of Digital Inquiries Application

Adir Solomon, Meira Levy, Dikla Agur-Cohen, Malak Younis, Efrat Moshe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Communication between family physicians (FPs) and patients via digital inquiry systems has become a widespread practice, often replacing in-person meetings and phone calls. Studies around the world have shown that while digital communication is deemed very important, it often results in FPs frustration and burnout as well as patient dissatisfaction. This study followed our previous study that examined and mapped existing types of inquiries and typical replies to such. This paper reports on the tasks associated with requirements engineering before the building of the Large Language Model (LLM) designed to automatically identify urgent requests for physicians and to route the request to relevant administrators or nurses if deemed necessary. In cases where the request is inappropriate for digital communication, the patient will be guided to schedule a phone call or in-person visit to the physician. The paper presents the LLM requirements engineering process as conducted in the current study and suggests a methodology for building LLM in general.

Original languageEnglish
Title of host publicationProceedings - 32nd IEEE International Requirements Engineering Conference Workshops, REW 2024
EditorsGrischa Liebel, Irit Hadar, Paola Spoletini
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages370-375
Number of pages6
ISBN (Electronic)9798350395518
DOIs
StatePublished - 2024
Event32nd IEEE International Requirements Engineering Conference Workshops, REW 2024 - Reykjavik, Iceland
Duration: 24 Jun 202428 Jun 2024

Publication series

NameProceedings - 32nd IEEE International Requirements Engineering Conference Workshops, REW 2024

Conference

Conference32nd IEEE International Requirements Engineering Conference Workshops, REW 2024
Country/TerritoryIceland
CityReykjavik
Period24/06/2428/06/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Digital Inquiries
  • Family Physicians
  • Health
  • Large Language Model (LLM)
  • Requirements Engineering

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

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