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This image shows an AI system assisting a medical team in a modern hospital or medical office setting. A diverse group of medical professionals, including doctors and nurses, are gathered around a patient on an examination table. A large, transparent holographic display hovers in the air, showcasing complex 3D medical images like MRI scans, CT scans, and detailed anatomical models of the patient's body. The AI system's interface is sleek and futuristic, displaying real-time data, vital signs, and diagnostic

AI+ Healthcare

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Key Insights

Artificial Intelligence, Business and Society, Distinguished Speaker Series, Healthcare, Strategy
Date
October 17, 2024
Senator Bill Cassidy.
Artificial Intelligence, Business and Society, Distinguished Speaker Series, Healthcare, Strategy

Navigating AI’s Role in the Future of Healthcare

US Senator Bill Cassidy, MD, highlights the need to balance regulation and innovation when it comes to embracing AI in medicine.
  • Read more about Navigating AI’s Role in the Future of Healthcare about Navigating AI’s Role in the Future of Healthcare
Artificial Intelligence, Distinguished Speaker Series, Economics and Policy, Healthcare, Leadership
Date
March 06, 2025
Dan O'Day
Artificial Intelligence, Distinguished Speaker Series, Economics and Policy, Healthcare, Leadership

Leadership Lessons from Gilead Sciences CEO Daniel O’Day

Innovations in data and AI are reshaping the biopharma industry.
  • Read more about Leadership Lessons from Gilead Sciences CEO Daniel O’Day about Leadership Lessons from Gilead Sciences CEO Daniel O’Day
Data and Business Analytics, Data/Big Data, Distinguished Speaker Series, Healthcare
Date
October 18, 2024
Emma Walmsley, CEO of British pharmaceutical giant GSK
Data and Business Analytics, Data/Big Data, Distinguished Speaker Series, Healthcare

Harnessing the Power of AI, Data — and People: Three Insights From GSK CEO Emma Walmsley

The pharmaceutical company leader praised AI for boosting productivity, but noted that it’s still “all about the people.”
  • Read more about Harnessing the Power of AI, Data — and People: Three Insights From GSK CEO Emma Walmsley about Harnessing the Power of AI, Data — and People: Three Insights From GSK CEO Emma Walmsley

Insights from Columbia Business School Faculty

Economics and Policy, Healthcare
Date
October 18, 2024
Depiction of mental health
Economics and Policy, Healthcare

The $282 Billion Toll: Quantifying the Economic Impact of Mental Illness

New research from Professor Boaz Abramson pioneers a method for assessing the impact that mental illness has on GDP, making the case that expanding the availability of treatment services and improving treatment of mental illness, especially in late adolescence, could positively impact the economy.
  • Read more about The $282 Billion Toll: Quantifying the Economic Impact of Mental Illness about The $282 Billion Toll: Quantifying the Economic Impact of Mental Illness
Artificial Intelligence, Data and Business Analytics, Decisions, Healthcare, Practitioner Perspectives
Type
Columbia Business
Date
July 24, 2025
Artificial Intelligence, Data and Business Analytics, Decisions, Healthcare, Practitioner Perspectives

Artificial Intelligence in Healthcare: Insights from Columbia Business School Professor Carrie Chan

Step into the future of medicine, where artificial intelligence and data science are revolutionizing patient care. At Columbia Business School, Professor Carrie Chan is leading the charge, developing cutting-edge solutions that promise to enhance healthcare accessibility, improve quality, and significantly reduce costs. Explore how her groundbreaking work is transforming emergency room operations and setting new standards for efficiency in hospitals worldwide.
  • Read more about Artificial Intelligence in Healthcare: Insights from Columbia Business School Professor Carrie Chan about Artificial Intelligence in Healthcare: Insights from Columbia Business School Professor Carrie Chan
Business and Society, Leadership, Organizations, Strategy
Date
December 10, 2024
Magazine Photo Image
Business and Society, Leadership, Organizations, Strategy

The Macroeconomics of Mental Health

Professor Boaz Abramson sheds new light on the United States' costly mental health epidemic — and how leaders can play a role in the solution.
  • Read more about The Macroeconomics of Mental Health about The Macroeconomics of Mental Health
Artificial Intelligence, Decisions, Healthcare
Date
April 10, 2025
From left to right: Drago Plecko, Columbia Engineering; Carri Chan, Columbia Business School; Noémie Elhadad, VP&S; Moderator: Lena Mamykina, VP&S. Photo by Eileen M. Barroso. Photo from Columbia University Data Science Institute
Artificial Intelligence, Decisions, Healthcare

When the System Is the Patient: AI in Health Care

Columbia University's Data Science Institute explores AI's role in healthcare, focusing on supporting clinical judgment while prioritizing equity and human experience. The article highlights how AI can enhance data collection for chronic conditions, optimize fair staffing in emergency departments, and identify structural inequities in care access, emphasizing that AI models must align with real-world healthcare contexts.
  • Read more about When the System Is the Patient: AI in Health Care about When the System Is the Patient: AI in Health Care
Healthcare & Pharmaceutical Management Program
In a sterile operating room, a surgical team is focused on a patient on the operating table. A large, interactive screen displays real-time surgical data, anatomical overlays, and AI-assisted guidance. The surgeons and medical staff are working together, utilizing advanced technology during the procedure.

Need to figure out what to do with this

-*HPM Content on AI + Healthcare

2025

  • 3rd Annual Columbia Business School Digital Health Summit (April 2025)
    • Panel 1: Clinical Trial Solutions or here *unedited*
    • Panel 2: LLMs for Healthcare or here *unedited*
  • 21st Annual Columbia Business School Healthcare Conference (February 2025)
    • Keynote: AI, Innovation, and the Future of Biopharma with Gilead CEO Daniel O’Day
      • 10:25 - 11:02 (Describes low hanging fruit of AI in Healthcare )
      • 12:18 - 12:47 (Describes How Ai is implemented in drug discovery to help cut time development time)
      • 13:20- 13:34 (Implementation of AI will help medicines be more effective, and help patients get medications sooner)
      • 14:15 - 15:57 (AI Models learning from healthcare professionals to help organize EDMR patient data)
      • 38:52 -  43:35 ( How AI can help autoimmune patients) 

2024

  • 6th Annual Gabelli Funds-Columbia Business School Healthcare Symposium (November 2024)
    • Panel 1: Unlocking the Potential of Surgical Robotics and AI
    • Panel 2: Interoperability, Digital Transformation and Enhancing Patient Care
    • Panel 3: Advances in Atrial Fibrillation Technology and Treatment
  • Distinguished Speaker Series (the Hub x DFI x HPM) (September 2024)
    • AI in Healthcare: Fireside Chat with U.S. Senator Bill Cassidy + article
    • Leadership and Innovation in Healthcare: A Conversation with GSK CEO Emma Walmsley + article
  • 2nd Annual Columbia Business School Digital Health Summit (April 2024)
    • Panel 1: Digital Tools for Patient Monitoring
    • Panel 2: AI for Drug Discovery

2023

  • 5th Annual Gabelli Funds-Columbia Business School Healthcare Symposium (November 2023)
    • Panel 1: Reimagining Healthcare
    • Panel 2: Trends in Regenerative Medicine
    • Panel 3: The Future of Medicare Advantage
  • Healthcare Spotlight Series (November 2023)
    • AI & Analytics in Heart Health
  • Columbia Business School Digital Health Summit (Inaugural) (April 2023)
    • Panel 1: Transforming the Patient Journey Through Analytics (starts at 5:50)
    • Panel 2: Analytics and AI in Disease Management: Therapeutics & Diagnostics (starts at 1:18:10)

2022

  • 4th Annual Gabelli Funds-Columbia Business School Healthcare Symposium (November 2024)
    • Panel 1: Advances in Diabetes Care
    • Panel 2: Moving Care Closer to the Patient
    • Panel 3: The Evolution of Wearables and Remote Patient Monitoring
  • Fireside Chat (April 2022)
    • The Converging Worlds of Health, Medicine, & Technology with Stefan Vilsmeier, CEO of Brainlab
  • Fireside Chat (February 2022)
    • Leveraging the Cloud for Healthcare & Life Sciences with Lyndsey Burton, MD from Amazon Web Services

2021

  • 3rd Annual Gabelli Funds-Columbia Business School Healthcare Symposium (November 2021)
    • Panel 1: The Future of Alzheimer's Care and Treatment
    • Panel 2: New Technologies in Biopharma
    • Panel 3: Data Mining and AI in Patient Care

2020

  • N/A

2019

  • N/A

2018

  • 14th Annual Columbia Business School Healthcare Conference (February 2018)
    • Keynote: Deborah DiSanzo, General Manager, IBM Watson Health
    • Panel 4: Investing in the Next Generation of Healthcare
Around Campus_AI and Healthcare
A doctor and a patient are in a modern medical practitioner's office. The doctor is looking at a large, transparent screen displaying the patient's medical history, diagnostic images, and AI-generated insights. The setting suggests a personalized and technologically advanced approach to patient consultation and care.

And this

Articles- AI and Healthcare

Would You Want to Know if Alzheimer’s Were in Your Future?

How Artificial Intelligence is Changing Biomedical Research

From Genomic Data to Voting Records: A Search for Structure in the World’s Messiest Datasets

Faculty Leverage Machine Learning for Early Detection of Mental Illness

Brains Behind the Bots: Neuroscience’s Big Role in the future of AI

Can Technology Revolutionize Health Science? The Promise of Exposomics

VP&S Initiative Seeks to Advance Health through AI Innovation

Can Technology Revolutionize Health Science? The promise of Exposomics.

When the System Is the Patient: AI in Health Care

The Next Wave of AI in Medicine

Columbia Nursing Introduces Office of Artificial Intelligence

Lea Duncker: How Brain-Inspired AI is Transforming Mental Health Research

Zhonghua Liu on AI’s Role in Unlocking Alzheimer’s Mysteries

New AI Predicts Inner Workings of Cells

A Tour de Force: Columbia Engineers Discover New “All-optical” Nanoscale Sensors of Force

New Frontiers - Fighting Cancer with AI

Computational Approach Identifies Alzheimer’s-Related Biomarkers

AI, FemTech, and the Future of Women’s Health: Key Insights from Leading Innovators

With Great Power, Comes Great Responsibility: Unpacking Views on Using AI for Mental Health Care

A Data Scientist’s New Vision for Medicine: An AI-Doctor Clinical Team

This is Your Future Health Care on AI

Neuroscience + Artificial Intelligence = NeuroAI

AI Cannot Yet Reliably Read and Extract Info from Clinical Notes

AI Enhances Nursing Care Plans for Better Outcomes

How Generative AI will Transform Health Care and Finance

GPT-4 AI Outperforms Experts at Identification of Cell Types

Elham Azizi vs. Cancer: Fighting the Disease with Data, AI, and Math

The Future of Data Science in Health

Placeholder items as we sort out the page
A diverse medical team, including doctors and nurses, is gathered around a patient's bed in a modern emergency room. A large, transparent holographic display shows intricate 3D anatomical models, vital signs, and AI-driven data. The team interacts with the display and tablets, collaborating to diagnose and treat the patient.

Key Takeaways

CBS Photo Image

Emphasize the Role of AI in the Workplace

  1. Address AI-related concerns by involving employees early in the implementation process.
  2. Communicate transparently and emphasize the role of AI in augmenting rather than replacing jobs.
  3. Foster continuous upskilling and promote more motivators like purpose, autonomy, and collaboration.
CBS Photo Image

Work Adaptability is the Essential Skill

  1. As AI reshapes the workforce, adaptability to technology emerges as the most critical leadership skill.
  2. As work environments evolve with AI integration, skills like active learning, resilience, stress tolerance, and flexibility become essential for navigating changing workplace dynamics and technological shifts.
CBS Photo Image

The Human-Technology Intersection is Critical

  1. Future workers must develop competencies at the crossroads of human and technical skills, particularly in technology use, monitoring, control, design, and programming to effectively collaborate with AI systems.
  2. As work environments evolve with AI integration, skills like active learning, resilience, stress tolerance, and flexibility become essential for navigating changing workplace dynamics and technological shifts.
CBS Photo Image

Essential Questions Answered

What jobs are most likely to be affected by AI in the workplace?

AI is automating repetitive and data-heavy tasks, putting roles in administration, customer service, and data entry at higher risk. However, it's also creating demand for new roles in AI development, prompt engineering, and human-AI collaboration.

How can employees prepare for the future of work with AI?

Workers can future-proof their careers by developing soft skills, learning to work alongside AI tools, and acquiring technical knowledge in areas like machine learning and digital literacy.

Will AI replace human workers or create new job opportunities?

While AI may replace some jobs, it also creates new opportunities by generating demand for roles in AI oversight, ethics, maintenance, and innovation - reshaping rather than eliminating the workforce.

What are the benefits of using AI in the workplace?

AI boosts productivity by automating routine tasks, improves decision-making through data-driven insights, and enables businesses to innovate faster - giving employees more time to focus on strategic, creative, and interpersonal work.

The Underlying Data

Provided by data points from various sources (McKinsey) and faculty.

Investment
92
of companies plan to invest more in AI over the next 3 years
Training
48
of employees rank training as the most important factor for AI adoption
Development
69
of companies started investing into AI more than 1 year ago

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