Lean Management and use of AI in healthcare: living in the present

This study explores the possible relationship between Lean Management and generative artificial intelligence (Generative AI), which are seemingly distant but with common objectives namely to reduce waste and increase efficiency. Our analysis reveals that Generative AI models can support “lean” principles by facilitating just-in-time manufacturing, increasing flexibility, promoting waste reduction, and rapid prototyping. However, solutions are needed for the technological challenges and the quality of the content generated. Effective implementation requires a focus on optimizing operations and automating data analysis, as well as aligning goals between stakeholders. The joint use of cross-functional teams can maximize resource utilization and drive informed decisions. Generative AI is therefore a powerful complement to Lean Management in business processes. A focus was then placed on the impact that AI and technological advancement may have in various areas of the pharmaceutical sector. The state of the art was assessed by referring to publications in the literature and by interviewing experts not only with a corporate profile, but also community pharmacists, students, and professionals in the pharmaceutical sector.

Authors

Institutions

Publication Details

Journal
Medical Academy Journal
Published
2024-08-30
DOI
https://doi.org/10.56823/tttt2681
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lean Management and use of AI in healthcare: living in the present

Giulio Polimeni, Roberto Adrower
Medical Academy Journal
Digital Transformation in Industry
article

Lean Management and use of AI in healthcare: living in the present

Giulio Polimeni, Roberto Adrower
article en

Abstract

This study explores the possible relationship between Lean Management and generative artificial intelligence (Generative AI), which are seemingly distant but with common objectives namely to reduce waste and increase efficiency. Our analysis reveals that Generative AI models can support “lean” principles by facilitating just-in-time manufacturing, increasing flexibility, promoting waste reduction, and rapid prototyping. However, solutions are needed for the technological challenges and the quality of the content generated. Effective implementation requires a focus on optimizing operations and automating data analysis, as well as aligning goals between stakeholders. The joint use of cross-functional teams can maximize resource utilization and drive informed decisions. Generative AI is therefore a powerful complement to Lean Management in business processes. A focus was then placed on the impact that AI and technological advancement may have in various areas of the pharmaceutical sector. The state of the art was assessed by referring to publications in the literature and by interviewing experts not only with a corporate profile, but also community pharmacists, students, and professionals in the pharmaceutical sector.

Medical Academy JournalVol. 3(1)
Sapienza University of Rome (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Lean Management and use of AI in healthcare: living in the present — Giulio Polimeni, Roberto Adrower · Medical Academy Journal (2024) | TGRS Research Map | TGRS