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Generative Artificial Intelligence Growth Opportunities in the Healthcare and Life Science Industry Updated Research Available
Possibilities Exist to Adapt Large Language Models and Reinvent Enterprise Functions
29-Sep-2023
North America
Market Research
K959-01-00-00-00
CM_2023_171
This project provides an overview of the effects of generative AI (Gen AI) on the healthcare and life science industry and numerous growth opportunities, including how it could overcome regulatory and cybersecurity obstacles, address the build-borrow-buy conundrum, and impact the value chain of pharmaceutical companies, medical device developers, payors, and providers.
Although still in the nascent stage, there is cautious enthusiasm about Gen AI’s potential. Pharmaceutical companies and provider organizations are taking the lead in incorporating this technology in their workflows. Gen AI currently is showing the highest impact and use case development in R&D (new product/service development) and customer interaction, notable in processes involving extensive documentation or communication.
Gen AI comes with its own set of challenges regarding the safe, reliable and ethical use of the technology. Organizations also face the quandary of whether to build models in-house, forming a development partnership, or buying something that already exists. All three scenarios present different cost, timeline, and accountability challenges that organizations must think through.
Author: Nitin Manocha
Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
Impact of the Top 3 Strategic Imperatives on Generative Artificial Intelligence in the Healthcare and Life Science Industry
Growth Opportunities Fuel the Growth Pipeline Engine™
Scope of Analysis and Methodology
Applications
What is Gen AI?
Foundational Models Form the Backbone of Gen AI
Gen AI Benefits and Challenges
When is Gen AI Required?
Growth Environment
Growth Drivers
Growth Restraints
Regulations Impacting Gen AI
Cybersecurity and Gen AI
Enterprise Gen AI Implementation Considerations
Governance for Customizing Foundational Models to Enterprise Needs
Transitioning from Co-pilot to Enterprise Intelligence
Build-Borrow-Buy Path
Gen AI will Enable a Strong Digital Core by 2030
Pharma Industry Value Chain
Pharma Industry Current State (2023) → Future State (2030)
Gen AI Impact Across Pharma Industry Value Chain
Pharma Industry Gen AI Use Cases
Pharma Industry Gen AI Use Cases (continued)
Pharma Industry Gen AI Use Cases (continued)
Gen AI Inflection Point—Solving Real Business and Human Problems
Company to Action—Janssen Pharmaceuticals
Company to Action—Pfizer
Medical Device Industry Value Chain
Medical Device Industry Current State (2023) → Future State (2030)
Gen AI Impact Across Medical Device Industry Value Chain
Medical Device Industry Gen AI Use Cases
Medical Device Industry Gen AI Use Cases (continued)
Gen AI Inflection Point—Solving Real Business and Human Problems
Company to Action—Medtronic
Company to Action—Fujifilm Medical Systems
Payor Industry Value Chain
Payor Industry Current State (2023) → Future State (2030)
Gen AI Impact Across Payor Industry Value Chain
Payor Industry Gen AI Use Cases
Payor Industry Gen AI Use Cases (continued)
Payor Industry Gen AI Use Cases (continued)
Payor Industry Gen AI Use Cases (continued)
Gen AI Inflection Point—Solving Real Business and Human Problems
Company to Action—Oscar Health
Company to Action—Reinsurance Group of America, Inc. (RGA)
Provider Organization Value Chain
Provider Industry Current State (2023) → Future State (2030)
Gen AI Impact across Provider Value Chain
Provider Organization Gen AI Use Cases
Provider Organization Gen AI Use Cases (continued)
Provider Organization Gen AI Use Cases (continued)
Provider Organization Gen AI Use Cases (continued)
Gen AI Inflection Point—Solving Real Business and Human Problems
Company to Action—Mayo Clinic
Company to Action—Bon Secours Mercy Health
Growth Opportunity 1 (Pharma): Gen AI and LLMs for Lead Identification and Optimization
Growth Opportunity 1 (Pharma): Gen AI and LLMs for Lead Identification and Optimization (continued)
Growth Opportunity 2 (Pharma): Improving Patient Access with Gen AI-Enabled Marketing Strategies
Growth Opportunity 2 (Pharma): Improving Patient Access with Gen AI-Enabled Marketing Strategies (continued)
Growth Opportunity 3 (Medical Device): Automating Process in Digital Surgery
Growth Opportunity 3 (Medical Device): Automating Process in Digital Surgery (continued)
Growth Opportunity 4 (Medical Device): Early Detection for Effective Disease Management
Growth Opportunity 4 (Medical Device): Early Detection for Effective Disease Management (continued)
Growth Opportunity 5 (Payor): Personalize Member Communication to Promote Preventive Health Efforts
Growth Opportunity 5 (Payor): Personalize Member Communication to Promote Preventive Health Efforts (continued)
Growth Opportunity 6 (Payor): Automate Prior Authorization Process
Growth Opportunity 6 (Payor): Automate Prior Authorization Process (continued)
Growth Opportunity 7 (Provider): Improve Clinical Documentation, Including Discharge and Referrals
Growth Opportunity 7 (Provider): Improve Clinical Documentation, Including Discharge and Referrals (continued)
Growth Opportunity 8 (Provider): Next-Gen Digital Front Door
Growth Opportunity 8 (Provider): Next-Gen Digital Front Door (continued)
List of Exhibits
Legal Disclaimer
List of Figures
- Gen AI in Healthcare & Life Sciences: Growth Drivers, 2024–2030
- Gen AI in Healthcare & Life Sciences: Growth Restraints, 2024–2030
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