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- All HBS Web (632)
- Faculty Publications (148)
Show Results For
- All HBS Web (632)
- Faculty Publications (148)
- Article
How Not to Cut Health Care Costs
By: Robert S. Kaplan and Derek A. Haas
Health care providers in much of the world are trying to respond to the tremendous pressure to reduce costs—but evidence suggests that many of their attempts are counterproductive, raising costs and sometimes decreasing the quality of care. Using evidence from field... View Details
Kaplan, Robert S., and Derek A. Haas. "How Not to Cut Health Care Costs." Harvard Business Review 92, no. 11 (November 2014): 116–122.
- 14 Nov 2017
- First Look
New Research and Ideas: November 14, 2017
through three examples: the design of medical residency matching programs, a scrip system to allocate food donations to food banks, and the recent "Incentive Auction" that reallocated wireless spectrum from television broadcasters to... View Details
Keywords: Carmen Nobel
Karim R. Lakhani
Karim R. Lakhani is the Dorothy & Michael Hintze Professor of Business Administration at the Harvard Business School. He specializes in technology management, innovation, digital transformation and artificial... View Details
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- April 2004 (Revised June 2004)
- Case
Entrepreneurship Goes Global: ResMed's Gamble
By: Christopher A. Bartlett, Andrew N. McLean and Meg Glinska
On the basis of its innovative medical device for treating sleep apnea, CEO Peter Farrell has made Australian-born ResMed a successful global company. But the company is struggling to implement a strategy to expand the device from its focused core market to a much... View Details
Keywords: Business Model; Globalization; Innovation and Management; Management; Marketing Channels; Production; Expansion; Medical Devices and Supplies Industry
Bartlett, Christopher A., Andrew N. McLean, and Meg Glinska. "Entrepreneurship Goes Global: ResMed's Gamble." Harvard Business School Case 304-051, April 2004. (Revised June 2004.)
- March 2009
- Case
Incept LLC and Confluent Surgical (A)
By: Bhaskar Chakravorti, Toby E. Stuart and James Weber
A venture capitalist must decide whether to invest in a medical technology company that licenses intellectual property from a privately held IP holding company based on a platform technology. Entrepreneurs Amar Sawhney and Fred Khosravi founded Incept LLC to... View Details
Keywords: Business Model; Entrepreneurship; Intellectual Property; Rights; Agreements and Arrangements; Partners and Partnerships; Trust; Medical Devices and Supplies Industry
Chakravorti, Bhaskar, Toby E. Stuart, and James Weber. "Incept LLC and Confluent Surgical (A)." Harvard Business School Case 809-062, March 2009.
- 28 Feb 2017
- First Look
First Look at New Research, February 28
interactions to remote medical scribes, thus freeing doctors from the burden of having to manually input information into an electronic medical record (EMR) and giving them additional time to focus on... View Details
Keywords: Sean Silverthorne
- August 2001 (Revised August 2012)
- Case
BestDoctors, Inc.
By: Regina E. Herzlinger and Seth Bokser
Upon learning the news of a critical illness, patients and their families are shocked, saddened, fearful, and angry all at once. And just as soon as they catch their collective breath, they all ask the same question—a question that has the potential to infuse hope into... View Details
- 30 Mar 2010
- First Look
First Look: March 30
people believe the risk decreases (negative recency) but at the same time exhibit more cautious behavior (positive recency). The rest of the difference is consistent with two well established mechanisms: judgment error and the use of small samples in choice.... View Details
Keywords: Sean Silverthorne
- January 2025
- Technical Note
AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix
By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
- November 2022
- Teaching Note
Proximie: Using XR Technology to Create Borderless Operating Rooms
By: Ariel D. Stern, Alpana Thapar and Menna Hassan
Founded by Nadine Hachach-Haram in 2016, Proximie was a digital medicine platform that used mixed reality and a host of digital audio and visual tools to enable clinicians, proctors, and medical device company personnel to be virtually present in operating rooms (ORs),... View Details
- 15 Jan 2019
- First Look
New Research and Ideas, January 15, 2019
forthcoming American Journal of Therapeutics Food and Drug Administration Guidance Documents and New Medical Devices: The Case of Breast Prostheses By: Weitzman, Rachel E., Ariel Dora Stern, and Daniel B. Kramer Abstract—No abstract... View Details
Keywords: Dina Gerdeman
- January–February 2023
- Article
Data-Driven COVID-19 Vaccine Development for Janssen
By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
- May 2023 (Revised June 2023)
- Case
Novartis (A): Reimagining Medicine
By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
Keywords: Health Care and Treatment; Business Model; Leadership; Pharmaceutical Industry; Switzerland
Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (A): Reimagining Medicine." Harvard Business School Case 723-443, May 2023. (Revised June 2023.)
- Article
Behavioral Hazard in Health Insurance
By: Katherine Baicker, Sendhil Mullainathan and Joshua Schwartzstein
A fundamental implication of standard moral hazard models is overuse of low-value medical care because copays are lower than costs. In these models, the demand curve alone can be used to make welfare statements, a fact relied on by much empirical work. There is ample... View Details
Baicker, Katherine, Sendhil Mullainathan, and Joshua Schwartzstein. "Behavioral Hazard in Health Insurance." Quarterly Journal of Economics 130, no. 4 (November 2015): 1623–1667. (Online Appendix.)
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
"Behavioral Hazard in Health Insurance"
A fundamental implication of standard moral hazard models is overuse of low-value medical care because copays are lower than costs. In these models, the demand curve alone can be used to make welfare statements, a fact relied on by much empirical work. There is... View Details
- May 2023 (Revised June 2023)
- Supplement
Novartis (B): Reimagining Medicine
By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
Keywords: Health Care and Treatment; Business Model; Production; Business Strategy; Pharmaceutical Industry
Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (B): Reimagining Medicine." Harvard Business School Supplement 723-444, May 2023. (Revised June 2023.)
- May 2023 (Revised June 2023)
- Supplement
Novartis (C): Reimagining Medicine
By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
Keywords: Health Testing and Trials; Health Care and Treatment; Business Model; Problems and Challenges; Pharmaceutical Industry; Switzerland
Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (C): Reimagining Medicine." Harvard Business School Supplement 723-445, May 2023. (Revised June 2023.)
- 25 Aug 2015
- Blog Post
Why an MD/MBA from HBS and HMS?
undifferentiated student, I wanted the option to see a variety of specialties before narrowing down my career. Moreover, Harvard Medical School (HMS) faculty have been leading the national agenda on health care reform, as demonstrated by... View Details