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  • All HBS Web  (715)
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  • January 2020
  • Article

Assessing the Safety of Electronic Health Records: A National Longitudinal Study of Medication-related Decision Support

By: A Jay Holmgren, Zoe Co, Lisa Newmark, Melissa Danforth, David Classen and David Bates
Background Electronic health records (EHR) can improve safety via computerised physician order entry with clinical decision support, designed in part to alert providers and prevent potential adverse drug events at entry and before they reach the patient.... View Details
Keywords: Hospital; Electronic Health Records; Health Care and Treatment; Information Technology; Safety; Performance; Quality; Performance Improvement
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Holmgren, A Jay, Zoe Co, Lisa Newmark, Melissa Danforth, David Classen, and David Bates. "Assessing the Safety of Electronic Health Records: A National Longitudinal Study of Medication-related Decision Support." BMJ Quality & Safety 29, no. 1 (January 2020): 52–59.
  • March 2022
  • Article

Where to Locate COVID-19 Mass Vaccination Facilities?

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
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Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
  • Article

Matriarch: A Python Library for Materials Architecture

By: Tristan Giesa, Ravi Jagadeesan, David I. Spivak and Markus J. Buehler
Biological materials, such as proteins, often have a hierarchical structure ranging from basic building blocks at the nanoscale (e.g., amino acids) to assembled structures at the macroscale (e.g., fibers). Current software for materials engineering allows the user to... View Details
Keywords: Building Block; Category Theory; Hierarchical Protein Materials; Molecular Design; Open-Source Software; Structure Creation
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Giesa, Tristan, Ravi Jagadeesan, David I. Spivak, and Markus J. Buehler. "Matriarch: A Python Library for Materials Architecture." ACS Biomaterials Science & Engineering 1, no. 10 (October 2015): 1009–1015.
  • November–December 2023
  • Article

Network Centralization and Collective Adaptability to a Shifting Environment

By: Ethan S. Bernstein, Jesse C. Shore and Alice J. Jang
We study the connection between communication network structure and an organization’s collective adaptability to a shifting environment. Research has shown that network centralization—the degree to which communication flows disproportionately through one or more... View Details
Keywords: Network Centralization; Collective Intelligence; Organizational Change and Adaptation; Organizational Structure; Communication; Decision Making; Networks; Adaptation
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Bernstein, Ethan S., Jesse C. Shore, and Alice J. Jang. "Network Centralization and Collective Adaptability to a Shifting Environment." Organization Science 34, no. 6 (November–December 2023): 2064–2096.
  • 2015
  • Article

Scalable Detection of Anomalous Patterns With Connectivity Constraints

By: Skyler Speakman, Edward McFowland III and Daniel B. Neill
We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details
Keywords: Biosurveillance; Event Detection; Graph Mining; Scan Statistics; Spatial Scan Statistic
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Speakman, Skyler, Edward McFowland III, and Daniel B. Neill. "Scalable Detection of Anomalous Patterns With Connectivity Constraints." Journal of Computational and Graphical Statistics 24, no. 4 (2015): 1014–1033.
  • 2019
  • Working Paper

Thinking Outside the Box (12): The Benefits of Increased Transparency in Employer-Sponsored Health Insurance for the 180 Million Insured

By: Regina E. Herzlinger and Barak D. Richman
Economists have long noted that the tax exclusion of employer-sponsored insurance (ESI) caused workers to purchase health plans that differ in price and other characteristics from those they would otherwise choose for themselves. We explore the short-term and long-term... View Details
Keywords: After-tax Income; Consumer-driven Health Care; Health Care Costs; Health Insurance; Income Inequality; Tax Policy; Health Care and Treatment; Cost; Insurance; Income; Equality and Inequality; Taxation; Policy; United States
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Herzlinger, Regina E., and Barak D. Richman. "Thinking Outside the Box (12): The Benefits of Increased Transparency in Employer-Sponsored Health Insurance for the 180 Million Insured." Duke Law School Public Law & Legal Theory Series, No. 2020-4, December 2019.
  • Article

Spending Variation Among ACOs in the Medicare Shared Savings Program

By: Michael Anne Kyle, J. Michael McWilliams, Mary Beth Landrum, Bruce E. Landon, Paul Trompke, David J. Nyweide and Michael E. Chernew
OBJECTIVES: Understanding variation in spending across organizations, rather than across geographic areas, is important because care is delivered by organizations and interventions increasingly focus on organizations. Accountable care organizations (ACOs) are... View Details
Keywords: Medicare; Accountable Care Organizations; ACOs; Health Care and Treatment; Spending; Analysis
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Kyle, Michael Anne, J. Michael McWilliams, Mary Beth Landrum, Bruce E. Landon, Paul Trompke, David J. Nyweide, and Michael E. Chernew. "Spending Variation Among ACOs in the Medicare Shared Savings Program." American Journal of Managed Care 26, no. 4 (April 2020): 170–175.
  • 29 Nov 2022
  • Research & Ideas

How Much More Would Holiday Shoppers Pay to Wear Something Rare?

we explain this finding is through social influences,” Farronato says. “I can now go around and show off an item that is recognizable to my friends, but also hard to get.” Paying a premium to be trendy The researchers ran simulations to... View Details
Keywords: by Michael Blanding; Retail
  • 18 Jun 2024
  • Research & Ideas

Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.

pandemic- and Ukraine-related supplier disruptions. They followed the frequency and daily price changes on almost 585,000 products from 58 companies in Western Europe and the United States. Using that data, researchers simulated what... View Details
Keywords: by Rachel Layne; Financial Services; Banking
  • 15 Aug 2023
  • HBS Case

(Virtual) Reality Check: How Long Before We Live in the 'Metaverse'?

coordinating all the pieces of the ecosystem,” he says. “It's not just a matter of a headset. You also have to have content like games or simulations or social media interaction platforms. We still haven't seen what that killer app is... View Details
Keywords: by Jay Fitzgerald; Technology; Computer; Information Technology
  • October–December 2022
  • Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
  • 2021
  • Working Paper

Supply- and Demand-Side Effects in Performance Appraisals: The Role of Gender and Race

By: Iris Bohnet, Oliver P. Hauser and Ariella Kristal
Performance reviews in firms are common but controversial. Managers’ subjective appraisals of their employees’ performance and employees’ self-evaluations might be affected by demographic characteristics, interact with each other as self-evaluations are typically... View Details
Keywords: Performance Appraisals; Gender; Race; Performance Evaluation
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Bohnet, Iris, Oliver P. Hauser, and Ariella Kristal. "Supply- and Demand-Side Effects in Performance Appraisals: The Role of Gender and Race." HKS Faculty Research Working Paper Series, No. RWP21-016, May 2021.
  • 12 Feb 2018
  • Research & Ideas

Customers at the Back of the Line Are Anxious—Can You Keep Them from Leaving?

simulation to quiz respondents about their anxieties while waiting in line. (From Last Place Aversion in Queues) Respondents were told they would be paid 50 cents to answer a survey that took several minutes to complete. Before they could... View Details
Keywords: by Michael Blanding; Retail; Service
  • 2011
  • Working Paper

Fairness, Efficiency and Flexibility in Organ Allocation for Kidney Transplantation

By: Dimitris Bertsimas, Vivek F. Farias and Nikolaos Trichakis
We propose a scalable, data-driven method for designing national policies for the allocation of deceased donor kidneys to patients on a waiting list, in a fair and efficient way. We focus on policies that have the same form as the one currently used in the U.S. In... View Details
Keywords: Fairness; Policy; Health Disorders; Marketplace Matching; Performance Effectiveness; Rank and Position; Health Industry; United States
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Bertsimas, Dimitris, Vivek F. Farias, and Nikolaos Trichakis. "Fairness, Efficiency and Flexibility in Organ Allocation for Kidney Transplantation." Harvard Business School Working Paper, No. 12-025, October 2011.
  • 24 Aug 2012
  • Working Paper Summaries

Equalizing Outcomes vs. Equalizing Opportunities: Optimal Taxation when Children’s Abilities Depend on Parents’ Resources

Keywords: by Alexander Gelber & Matthew Weinzierl
  • 2013
  • Dissertation

Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics

By: Clarence Lee, Vineet Kumar and Sunil Gupta
Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers... View Details
Keywords: Discrete-Continuous Choice Dynamic Structural Models; Bayesian Estimation; Word-of-Mouth; Digital Services; Freemium; Entrepreneurship; Business Model; Motivation and Incentives; Marketing Strategy; Internet and the Web; Consumer Behavior; Marketing Reference Programs; Business Startups
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Lee, Clarence, Vineet Kumar, and Sunil Gupta. "Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics." Diss., Harvard Business School, 2013. (Job Market Paper.)
  • 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
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Classen, David, A Jay Holmgren, Zoe Co, Lisa Newmark, Diane Seger, Melissa Danforth, and David Bates. "National Trends in the Safety Performance of Electronic Health Record Systems From 2009 to 2018." JAMA Network Open 3, no. 5 (May 2020).
  • May 2021
  • Article

Value-Based Healthcare in Urology: A Collaborative Review

By: Chanan Reitblat, Paul A. Bain, Michael E. Porter, David N. Bernstein, Thomas W. Feeley, Markus Graefen, Santosh Iyer, Matthew J. Resnick, C.J. Stimson, Quoc-Dien Trinh and Boris Gershman
Context:
In response to growing concerns over rising costs and major variation in quality, improving value for patients has been proposed as a fundamentally new strategy for how healthcare should be delivered, measured, and... View Details
Keywords: Value-based Healthcare; Integrated Practice Units; Outcome Measurement; Time-Driven Activity-Based Costing; Health Care and Treatment; Value; Cost Management; Strategy; Outcome or Result; Measurement and Metrics
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Reitblat, Chanan, Paul A. Bain, Michael E. Porter, David N. Bernstein, Thomas W. Feeley, Markus Graefen, Santosh Iyer, Matthew J. Resnick, C.J. Stimson, Quoc-Dien Trinh, and Boris Gershman. "Value-Based Healthcare in Urology: A Collaborative Review." European Urology 79, no. 5 (May 2021): 571–585.
  • 30 May 2023
  • Research & Ideas

Can AI Predict Whether Shoppers Would Pick Crest or Colgate?

commercially available version of GPT-3 to elicit thousands of simulated customer responses and found that AI can produce demand patterns that resemble those of human studies. “Utilizing this tool, which is in some ways a consumer... View Details
Keywords: by Kristen Senz
  • 07 Jul 2019
  • HBS Case

Walmart's Workforce of the Future

first year. “There’s so much to unpack in the choices that Walmart is making,” Kerr says, remarking that management has also introduced virtual reality goggles to train employees as well as an app, Spark City, that uses a game-type View Details
Keywords: by Julia Hanna; Retail
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