Digital Transformation in Healthcare (Online)

Nov 10, 2021–Jan 26, 2022 $2,800

Questions? Contact Us:

+1 315-982-5094
+1 315-277-2746
[email protected]

Duration: 9 Weeks
Time Commitment: 4–6 hours/week
Certificate Credits: 2
Learn more.

Delivered in collaboration with

“The healthcare sector is going to be transformed in the coming years, with vast opportunities in the digital health space. In this program, we'll equip you with a toolkit to evaluate the impact of data and digitization, streamline adoption to facilitate widespread adoption, and integrate these technologies and tools into your standard workflow.”
– The program's faculty co-director Carri Chan

Global Strategy (Online)

The healthcare industry is ripe for further digital disruption, from artificial intelligence assisting in disease diagnosis to data analytics applied to the pharmaceutical supply chain. Replacing outdated systems with automation and machine learning tools is a compelling proposal, but how can a healthcare executive evaluate the efficacy of digital transformation and the return on investment?

The Digital Transformation in Healthcare (Online) program from Columbia Business School Executive Education in collaboration with the School's Healthcare and Pharmaceutical Management Program is designed to help you make informed decisions about adopting digital solutions. Landing on the right solutions for your company can lead to greater market share, enhanced efficiency, and improved patient outcomes. In this nine-week online program, you will explore strategies for expanding the role of digital transformation in your organization, whether it is a startup or a large mature health system.

Prepare to lead your organization’s digital transformative initiatives by asking questions such as:

  • What are the general digital disruptions in the healthcare industry and in my segment specifically?
  • What digital platforms and technologies could be implemented successfully in my functional area?
  • How can we incorporate more data science tools into our practice?
  • What are the operating models and entrepreneurship opportunities in the digital health technology landscape?

Please Contact Us

Please contact our partners at Emeritus at [email protected], +1 315-982-5094, or +1 315-277-2746 for a personal conversation about this program and how it may benefit you.


The program helps provide you with the strategic vision and tools needed to implement digital transformation initiatives that maximize impact and return on investment. With a clear understanding of what has worked in various segments of the healthcare industry — and what has failed — you will be prepared to build your company’s technology strategy.

Each of the nine modules will help you explore strategies for expanding the role of digital transformation in your organization, whether it is a startup or a large mature health system. By the end of the program you will be able to:

  • Identify trends in digital health and the challenges and transformation opportunities present in the digital health landscape
  • Define the role predictive analytics, artificial intelligence, and machine learning play in transforming the digital healthcare industry
  • Understand what separates a successful population health initiative from a failed one
  • Identify how digital transformative solutions can address resource allocation and waste in the medical industry
  • Quantitatively assess the price of pharmaceuticals and technology advancements using the health technology assessment methodology

Upon completion of this program, you will earn two credits towards a Certificate with select alumni and tuition benefits. Learn more.


The program begins with an overview of healthcare industry in the U.S., including costs, outcomes, waste. Participants then explore transformative digital initiatives most beneficial to their specific areas of practice.

Week 1: The State of Healthcare
Compare the U.S. healthcare system against the rest of the world using five performance measures, identify the government’s role in healthcare costs, explore the challenges to payers, providers, and producers, and identify opportunities arising from the changing healthcare landscape.

Week 2: Population Health
Gain insight into the factors that impact population health, identify three factors that define a successful population health initiative, and explore the role of data analytics in population health successes.

Week 3: Lean Operations
Learn the lean operations framework, identify sources of waste in healthcare, discover how standardization and digitization can mitigate waste, understand the role of digital interventions in reducing waste in healthcare, and evaluate the importance of buy-in from stakeholders and personnel as you implement new digital solutions.

Week 4: Data-Driven Models
Apply a formula to calculate the waiting time of a medical facility, apply statistical utilization to quality of service, and interpret the results of a data model, reflecting on the key insights and assumptions made in the model.

Week 5: Leveraging Predictive Analytics
Identify opportunities for applying AI and ML in the healthcare space, the benefits of early-warning systems for both small segments and the greater ecosystem of healthcare facilities, the challenges of using AI and ML predictive analytics solutions for sending patients to the ICU in a larger hospital, and hurdles when implementing new digital solutions, plus methods of overcoming them.

Week 6: Telemedicine
Identify the challenges of more widespread dissemination of telemedicine, which of the connected health strategies applies to different healthcare interventions, and methods of avoiding the pitfalls in telemedicine.

Week 7: Data Analytics in Medical Imaging
Explore advancements in medical imaging, opportunities arising in the space, and the four main challenges present in digital imaging.

Week 8: Health Technology Assessment — Part I
Define health technology assessment, use a life table to measure life expectancy, compare and contrast the different methods for measuring quality of life, and define quality-adjusted life years.

Week 9: Health Technology Assessment — Part II
Select the most effective of three approaches for estimating the price of a life, calculate the incremental benefit and cost, and explore how profitability plays a role in the pricing strategies of new technologies in healthcare.

For complete details of the curriculum please download the program brochure.


This program will benefit managers and executives with experience in hospital management, life science innovation, pharmaceutical and device research, health technology, and insurance. It is also beneficial for digital transformation consultants with clients in healthcare. Appropriate functional areas include technology, operations, product management, R&D, compliance, and QA. It is ideal for the following roles in the healthcare, life sciences, and pharmaceutical industries:

C-Suite Executive
A highly experienced leader who is looking to gain a strategic overview of digital disruption in healthcare and to modify their business model to adapt to the digital health landscape.

Senior Management
An experienced professional seeking to identify digital solutions to implement within their healthcare-adjacent functional area to take necessary steps related to data science, understand various stakeholder perspectives, improve the quality of their products, and understand the steps required to take a digital product to market at the lowest incurred cost.

Entrepreneur or Venture Capitalist
An experienced investor or founder who is looking to identify the business models and entrepreneurship opportunities in digital transformation in healthcare, learn from the successes and failures of other startups, and leverage the venture fund strategy adopted by pharmaceutical companies

Columbia Business School Alumni and up to four of their colleagues are eligible for a 25 percent tuition benefit for this program. More on the Alumni Tuition Benefit.


Carri Chan
Professor of Business and Faculty Director, Healthcare and Pharmaceutical Management Program
Columbia Business School

Carri Chan is a professor of Business in the Decision, Risk, and Operations division at Columbia Business School. Her research is in the area of healthcare operations management. Her primary focus is in data-driven modeling of complex stochastic systems, efficient algorithmic design for queuing systems, dynamic control of stochastic processing systems, and statistical and econometric analysis of healthcare systems. Chan’s research combines empirical and stochastic modeling to develop evidence-based approaches to improve patient flow through hospitals. She has worked with clinicians and administrators in numerous hospital systems including Northern California Kaiser Permanente, New York Presbyterian, and Montefiore Medical Center. She spent the 2019-2020 academic year on sabbatical at the Value Institute at NY Presbyterian Hospitals. Chan is the recipient of a 2014 National Science Foundation (NSF) Faculty Early Career Development Program (CAREER) award and the 2016 Production and Operations Management Society (POMS) Wickham Skinner Early Career Award. She received her BS in Electrical Engineering from MIT and MS and PhD in Electrical Engineering from Stanford University.

Frank Lichtenberg
Cain Brothers & Company Professor of Healthcare Management in the Faculty of Business
Columbia Business School

Frank Lichtenberg is the Cain Brothers & Company Professor of Healthcare Management in the Faculty of Business at Columbia Business School, a research associate of the National Bureau of Economic Research, and a member of the CESifo Research Network. He previously taught at Harvard University, the University of Pennsylvania, and Ecole Polytechnique. He has served as an expert for the Federal Trade Commission, the U.S. Department of Justice, and state Attorneys General, and has testified before Congress. He has worked for several U.S. government agencies, including the Department of Justice, the Congressional Budget Office, and the Census Bureau, and been a visiting scholar at the Wissenschaftszentrum Berlin, the University of Munich, and elsewhere.

Along with Professors Chan and Lichtenberg, additional Columbia Business School faculty contribute to and teach in the program.