Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
TA2 - HC5: Healthcare applications 1
Time:
Tuesday, 28/June/2022:
TA 8:30-10:00

Session Chair: Ozden Engin Cakici
Location: Forum 6


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Presentations

Learning personalized treatment strategies with predictive and prognostic covariates

Andres Alban1, Stephen Chick2, Spyros Zoumpoulis2

1Massachusetts General Hospital, Harvard Medical School; 2INSEAD

We consider the problem of designing a sequential clinical trial with a fixed budget in order to find the best treatment as a function of predictive and prognostic patient covariates. We propose computationally tractable heuristics based on the expected value of information that perform well and are asymptotically optimal in the limit of large sample size. We show the benefits of incorporating predictive and prognostic covariates in allocation policies for learning the best treatment strategy.



Learning in Recovery from Disruption: Empirical Evidence from the U.S. Drug Shortages

Hyun Seok {Huck} Lee1, Jung Hee Lee2, In Joon Noh3

1Korea University Business School, Korea, Republic of (South Korea); 2Mendoze College of Business, University of Notre Dame; 3Smeal College of Business, Penn State University

We exmaine potential learning at the manufacturing facility level. Considering drug shortages as a manufacturing disruption, we investigate the two sources of learning: (1) experience of recovery from disruptions in the past and (2) experience of recovery from on-going disruptions. In addition to these learning effects, we also examine whether the two learning sources are substitutes or complements, and how the diversity of disruption resolution experience moderate these learning effects.



Telehealth in acute care: pay parity and patient access

Ozden Engin Cakici1, Alex F. Mills2

1Kogod School of Business, American University, USA; 2Zicklin School of Business, Baruch College, CUNY, USA

Many US states have adopted telehealth pay-parity policies requiring payers to reimburse healthcare providers equally for telehealth and office visits. But telehealth may require a duplicate visit for a physical exam. We analyze a three-stage game to study the impact of telehealth reimbursement on provider's operational decisions, where patients choose strategically between telehealth and office channels. We find that pay parity can decrease patient access and discuss its policy implications.



 
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