Publications

14 Dec 2021
Op-Ed

To Change Your Company's Culture, Don't Start by Trying to Change the Culture

something you fix Consider Vince Forlenza’s experience, as former CEO of medical technology maker Becton Dickinson, in developing a more innovative culture to meet the changing competitive landscape. He... View Details

Keywords: by Michael Beer

27 Feb 2007
First Look

First Look: February 27, 2007

instead reflect more "top-down" interventions. We conclude with a discussion of some of the historical evidence on top-down interventions. Illicit Invention: Tracing Technological Development in the Shadow of the Law... View Details

Keywords: Martha Lagace

Article

National Trends in the Safety Performance of Electronic Health Record Systems From 2009 to 2018

By: David Classen, A Jay Holmgren, Zoe Co, Lisa Newmark, Diane Seger, Melissa Danforth and David Bates

Importance Despite the broad adoption of electronic health record (EHR) systems across the continuum of care, safety problems persist. Objective To measure the safety performance of operational EHRs in hospitals across the country during a 10-year period. Design,... View Details

Keywords: Electronic Health Record Systems; Health Care and Treatment; Information Technology; Performance; Safety; Measurement and Metrics; United States

26 Nov 2013
First Look

First Look: November 26

identifying the types of GPs that drive the identified correlation between GPs and reduced shareholder value. Publisher's link: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1718488 August 2013 American Journal of Managed Care Testimonials Do Not Convert Patients... View Details

Keywords: Sean Silverthorne

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

Keywords: Machine Learning; Technological Innovation; Marketing; AI and Machine Learning

SSRN

July 2002 (Revised August 2002)
Case

Washington Hospital Center (C): Progress and Prospects, 1995-2001

By: Rosabeth M. Kanter and Michelle Heskett

Dr. Craig Feied and Dr. Mark Smith have already transformed a "worst-in-area" emergency medicine department into the best in the area. Industry-wide and hospital system-specific challenges remain, including their newest project of national importance--creating an... View Details

Keywords: History; Higher Education; Organizational Culture; Medical Specialties; Technological Innovation; Change Management; Nonprofit Organizations; Expansion; Crisis Management; Health Care and Treatment; Health Industry; District of Columbia

Educators

Web

Accounting & Management - Faculty & Research

globally continues to undergo massive transformation, surging towards a system that rewards value for patients. However, widespread adoption of value-based health care remains a challenge. This case study focuses on the care delivery transformation undertaken within an... View Details

January 2006 (Revised April 2007)
Case

General Electric Healthcare, 2006

By: Tarun Khanna and Elizabeth Raabe

In January 2006, Joe Hogan, head of General Electric (GE) Healthcare Technologies, prepared to step into William Castell's shoes as CEO of GE Healthcare, the world's leading manufacturer of diagnostic imaging equipment. In 2004, former CEO Jeff Immelt acquired Amersham... View Details

Keywords: Corporate Entrepreneurship; Cost vs Benefits; Growth and Development Strategy; Mergers and Acquisitions; Machinery and Machining; Global Range; Multinational Firms and Management; Product Design; Technological Innovation; Expansion; Value Creation; Business Subsidiaries; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry

Educators

Purchase

Article

Advancing Digital Health Applications: Priorities for Innovation in Real-World Evidence Generation

By: Ariel Dora Stern, Jan Brönneke, Jörg F Debatin, Julia Hagen, Henrik Matthies, Smit Patel, Ieuan Clay, Bjoern Eskofier, Annika Herr, Kurt Hoeller, Ashley Jaksa, Daniel B Kramer, Mattias Kyhlstedt, Katherine T Lofgren, Nirosha Mahendraratnam, Holger Muehlan, Simon Reif, Lars Riedemann and Jennifer C Goldsack

In 2019, Germany passed the Digital Healthcare Act, which, among other things, created a “Fast-Track” regulatory and reimbursement pathway for digital health applications in the German market. The pathway explicitly provides for flexibility in how researchers can... View Details

Keywords: Digital Health; Health Care and Treatment; Technological Innovation

December 2017
Article

Is There a Doctor in the House? Expert Product Users, Organizational Roles, and Innovation

By: Riitta Katila, Sruthi Thatchenkery, Michael Christensen and Stefanos A. Zenios

We explore the impact on innovation that professional end-users of a product have as inventors, executives, and board members in a young firm. In contrast to prior literature, which has emphasized technology roles, we put the spotlight on the executive and governance... View Details

Keywords: Innovation; User Innovation; Healthcare; Innovation and Management; Entrepreneurship; Medical Devices and Supplies Industry

July–August 2021
Article

Lowering the Bar? External Conditions, Opportunity Costs, and High-Tech Startup Outcomes

By: Annamaria Conti and Maria P. Roche

We assess the heterogeneous impact of economic downturns on individuals’ decisions to bring high-technology ideas to the market in the form of new ventures. We thereby examine how worsening labor market conditions influence individuals’ opportunity costs of starting... View Details

Keywords: Necessity Entrepreneurship; Economic Conditions; Recessions; High-tech Startups; Opportunity Costs; Entrepreneurship; Economic Slowdown and Stagnation; Business Startups; Information Technology; Performance; Labor

Web

Key Concepts - Institute For Strategy And Competitiveness

HBS ISC Health Care Health Care Value-Based Health Care Health Care Courses Fast Facts Value-Based Health Care Value-Based Health Care Cases & Teaching Notes Key Concepts Key Stakeholders Publications Team Work With Us Presentations Key Concepts Key Concepts Organize... View Details

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

18 Jul 2024
Blog Post

Harvard Business School Announces Its 2024-2025 Blavatnik Fellows

immune system-driven dendritic cell therapy to combat cancer, new molecular technologies for the delivery of transdermal formulations, a lipid-targeting drug to treat cancer and neurodegenerative disorders, and AI-driven View Details

23 Jun 2023
HBS Case

This Company Lets Employees Take Charge—Even with Life and Death Decisions

patient most urgently needs, buy medical supplies, and adjust care plans without having to go through levels of clearance. Buurtzorg means “neighborhood nursing” in Dutch, and nurses ensure care for patients from doctors, family, friends,... View Details

Keywords: by Annelena Lobb; Health

Web

MBA Experience - Health Care

MBA Experience Academics As part of the MBA curriculum, students analyze many cases focused on health care, and can customize their second-year experience by choosing courses, projects, papers, and independent studies specific to health care. Joint Degree Programs... View Details

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

Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance