![Show Menu](styles/mobile-menu.png)
![Page Background](./../common/page-substrates/page0217.png)
INFORMS Nashville – 2016
215
2 - Patient Experience And The Adoption And Use Of Hospital Health
Information Technology
Yunfeng Shi, Assistant Professor, The Pennsylvania State
University, 504E Ford Building, University Park, PA, 16802,
United States,
yus16@psu.edu, Verónica Fuentes Cáceres
This study evaluates the impact of EHR capability on Patient Experience. Using
information from the Hospital Compare and HIMSS, we constructed a
longitudinal sample (2007 -2013) of 2808 hospitals and estimated the impact
with a linear fixed effects model. In particular, we examined how the 5 different
levels of EHR capabilities, as defined in previous research, were related to the 10
HCAHPS outcomes reported in Hospital Compare, including patient satisfaction,
patient-provider communication, and discharge information. Our findings suggest
that having the highest level of EHR capability may have a positive impact on
patient experience, although the magnitude of the impact is generally small.
3 - The Evidence On Chronic Kidney Disease Patient Education:
A Review Of The Literature And A Case Study
Hilary Wolfendale, Doctoral Student, Carnegie Mellon University,
Hamburg Hall, 4800 Forbes Avenue, Pittsburgh, PA, 15213,
United States,
hwolfend@andrew.cmu.edu, Rema Padman,
Amelia M Haviland
The prevalence of chronic kidney disease (CKD) is rising in the United States.
While CKD cannot be reversed, CKD health education may delay the progression
of the disease. Consequently, Medicare began offering a series of education
sessions promoting behaviors that can postpone the need for dialysis or transplant
in CKD patients. This study 1) evaluates the current state of evidence supporting
education-based interventions for CKD patients and 2) examines electronic health
record data from a community nephrology practice for preliminary evidence of
any impact of Medicare’s education sessions.
4 - Designing M-health Services For User Engagement And Health
Promotion: An App For Healthy Eating
Yi-Chin Kato-Lin, Hofstra University, Hempstead, NY,
United States,
yichin.lin@hofstra.eduMobile technologies have the potential to engage patients in managing their
healthy behaviors, such as healthy eating. However, few advanced functionalities
have been employed in practice for promoting healthy eating. This study proposes
novel mobile-enabled interventions by upgrading three interventions commonly
used in practice: self-monitoring, professional support, and peer support. Surveys
reveal user satisfaction and heterogeneous preferences among subpopulations.
This study provides strategic insights that are generalizable to other healthy
behaviors.
MD22
107B-MCC
Policy Modeling and Analysis in Healthcare
Sponsored: ORinformed Healthcare Policies
Sponsored Session
Chair: Turgay Ayer, Georgia Institute of Technology, Atlanta, GA,
United States,
ayer@isye.gatech.edu1 - Evaluating Diversion Programs For Drug Offenders
Margaret Brandeau, Stanford University, Stanford, CA, United
States,
brandeau@stanford.edu,Cora Bernard, Konner Robison
Jails in the US process more than 11 million people each year, and the prevalence
of communicable diseases such as HIV, hepatitis C and tuberculosis is much
higher in jails than in the general population. We investigate the costs and health
impact of a jail-diversion program for low-level drug offenders which is currently
being pioneered in Seattle. We simulate the flow of at-risk people through the
criminal justice system and drug treatment programs, comparing outcomes for
those who get into the diversion program with those who do not. The goal is to
estimate the costs and health benefits of the diversion program, and its impact on
public health as well as on the criminal justice system.
2 - Carrot Or Stick? The Role Of Incentives In Achieving Meaningful
Health It Security
M Eric Johnson, Professor, Vanderbilt Universtity, Nashville, TN,
37205, United States,
eric.johnson@owen.vanderbilt.edu,
Juhee Kwon
The U.S. HITECH Act provided healthcare providers with both financial incentives
and penalties linked to an EHR certification process, referred to as “meaningful-
use” attestation. We consider the impact of these incentive on information
security. We find that both carrot and stick strategies are required for mitigating
different information security risks.
3 - Prioritizing Hepatitis C Treatment In US Prisons
Turgay Ayer, Georgia Tech,
ayer@isye.gatech.edu,Can Zhang,
Anthony Bonifonte, Anne Spaulding, Jagpreet Chhatwal
Prisons, which represent approximately 30% of the national HCV prevalence,
offer a great opportunity to control the epidemic of HCV. However, state prison
systems typically have very tight budgets and cannot bear the cost burden of HCV
treatment. Therefore, in current practice, only a small portion of HCV-infected
inmates are treated based on some prioritization rules. In this study, we propose a
restless bandit model framework to support HCV treatment decisions in prisons.
We propose a capacity-adjusted closed-form index-based prioritization policy and
show that our policy performs much better than the myopic policy and the well-
known Whittle’s index.
MD23
108-MCC
Healthcare Delivery with New Technology
Development and Patient Choice
Sponsored: Health Applications
Sponsored Session
Chair: Mabel Chou, National University of Singapore, Mochtar Riady
Building, 15 Kent Ridge Drive, BIZ1 #8-66, Singapore, Singapore,
mabelchou@nus.edu.sg1 - Optimal Mobile Health Clinic Delivery Aimed At Minimizing
Long-run Average Healthcare Costs
Fang Liu, Nanyang Technological University,
liu_fang@ntu.edu.sg,Pengfei Guo, Song Jiu, Yulan Wang
People in remote area have poor access to health care services. Mobile health
clinics (MHC) provides a solution to this problem by delivering health care
services to them. We first develop a discrete-time Markov model to capture the
progression of a chronic disease and then characterise the optimal delivery policy
that minimizes the long-run average healthcare cost. we find that when the
disease is fast progressive, MHC should be delivered in every period or two
periods.
2 - Appointment Scheduling With Time-dependent Patient No-show
Qingxia Kong, Assistant Professor, Erasmus University, Rotterdam,
Netherlands,
qingxia.kong@gmail.com, Shan Li, Nan Liu,
Chung-Piaw Teo, Zhenzhen Yan
We study independent data sets from countries on two continents which identify
a significant time-of-day effect on patient arrival probabilities. We deploy a
distributionally robust model to find the optimal scheduled arrival times for
patients.
3 - Hospital Portering Service Delivery Analysis And Design
Mabel Chou, National University of Singapore, Singapore,
Singapore,
mabelchou@nus.edu.sgThis paper aims to improve the overall performance of the porter system at a
hospital in Singapore. We focus on reducing the response times of porters and
therefore reducing the patient waiting times. Our analysis reveals that the
performance of porter stations is in general better than the performance of central
pool station with respect to response and completion times for jobs. We discover
three main reasons for the performance differences, which are an understaffed
central pool, an overstaffed emergency department and possibly other stations,
and differences in distances travelled between central pool and stations. We then
discuss how to redesign the system to improve the overall performance.
MD24
109-MCC
Decision Models in Healthcare/Clinical Settings.
Sponsored: Health Applications
Sponsored Session
Chair: Vishal Ahuja, Southern Methodist University, 12, Dallas, TX,
United States,
vahuja@smu.edu1 - Issuing Policies For Hospital Blood Inventory
Alireza Sabouri, Haskayne School of Business, University of
Calgary,
alireza.sabouri@haskayne.ucalgary.ca, Steven Shechter,
Woonghee Tim Huh
We propose a model for allocating red blood cells for transfusion to patients,
which is motivated by recent evidence suggesting that transfusing older blood is
associated with increased mortality rate. We study the properties of blood
issuance policies that balance the trade-off between “quality” measured in
average age of blood transfused and “efficiency” measured in the amount of
shortage. Based on our analysis, we design efficient issuance policies and evaluate
their performance.
MD24