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- October 1986 (Revised November 1989)
- Case
Becton Dickinson & Co.: VACUTAINER Systems Division
Concerns negotiations between managers of Becton Dickinson's (BD) VACUTAINER division (which manufactures and sells blood collection products) and managers of a large hospital buying group. Recent changes in the health care industry are the background for the...
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Keywords:
Distribution;
Negotiation Participants;
Negotiation Process;
Price;
Sales;
Health Industry;
Health Industry;
Health Industry;
United States
Cespedes, Frank V. "Becton Dickinson & Co.: VACUTAINER Systems Division." Harvard Business School Case 587-085, October 1986. (Revised November 1989.)
- April 1983 (Revised June 2003)
- Case
Shouldice Hospital Limited
By: James L. Heskett
Various proposals are set forth for expanding the capacity of the hospital. In assessing them, serious consideration has to be given to the culture of the organization and the importance of preserving it in a service delivery system. In addition to issues of capacity...
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Keywords:
Expansion;
Health Care and Treatment;
Performance Capacity;
Organizational Culture;
Service Delivery;
Growth Management;
Strategic Planning;
Quality;
Social Enterprise;
Health Industry;
Canada
Heskett, James L. "Shouldice Hospital Limited." Harvard Business School Case 683-068, April 1983. (Revised June 2003.)
- Forthcoming
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),...
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Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology (forthcoming). (Pre-published online November 9, 2023.)
- Research Summary
Behavioral Hazard and Public Policy
It is well recognized that people overuse low-value medical care due to moral hazard—because copays are lower than costs. Now Professor Schwartzstein has introduced the concept of “behavioral hazard” to explain the opposite: people underuse high-value care because... View Details
- Research Summary
Consumer-Driven Health Care
Since 1999, Professor Herzlinger's work in this area has provided the major impetus for the transformation of the health care sector: first in new consumer-driven insurance products sold by established insurers such as Aetna, United and CIGNA, as well as...
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- Teaching Interest
Overview
By: Leemore S. Dafny
U.S. Healthcare Strategy
The U.S. healthcare sector accounts for 17 percent of GDP, and encompasses a diverse set of industries with public, nonprofit, and for-profit buyers and sellers. There are significant concerns about high and rising spending, and...
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- Research Summary
Overview
Engaged with field work in South Asia and East Africa, Professor Hussam places a focus on exploring questions with strong theoretical motivation in the economics literature as well as relevant downstream policy implications. Her research spans four broad interests.... View Details
- Forthcoming
- Article
The Anatomy of a Hospital System Merger: The Patient Did Not Respond Well to Treatment
By: Raffaella Sadun, Martin Gaynor, Adam Sacarny, Chad Syverson and Shruthi Venkatesh
Despite the continuing US hospital merger wave, it remains unclear how mergers change, or fail to change, hospital behavior and performance. We open the “black box” of hospital practices through a mega-merger between two for-profit chains. Benchmarking the merger's...
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Sadun, Raffaella, Martin Gaynor, Adam Sacarny, Chad Syverson, and Shruthi Venkatesh. "The Anatomy of a Hospital System Merger: The Patient Did Not Respond Well to Treatment." Review of Economics and Statistics (forthcoming). (Pre-published online October 23, 2023.)
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