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Health Care Management Science

Víctor Giménez, Jorge R Keith, Diego Prior
The objective of this article is to discuss the impact of healthcare financing systems on the efficiency of Mexican hospitals. The Mexican healthcare system is undergoing a process of transformation to establish conditions for allocating limited health resources in order to achieve efficiency and transparency; in this line, there is a concern about the implications of different funding options. In terms of financing arrangements, the Mexican health system is divided into three categories (one private and two public)...
January 19, 2019: Health Care Management Science
Ana Batista, Jorge Vera, David Pozo
Effective admission planning can improve inpatient throughput and waiting times, resulting in better quality of service. The uncertainty in the patient arrival and the availability of resources makes the patient's allocation difficult to manage. Thus, in the admission process hospitals aim to accomplish targets of resource utilization and to lower the cost of service. Both objectives are related and in conflict. In this paper, we present a bi-objective stochastic optimization model to study the trade-off between the resource utilization and the cost of service, taking into account demand and capacity uncertainties...
January 15, 2019: Health Care Management Science
M A Miranda, S Salvatierra, I Rodríguez, M J Álvarez, V Rodríguez
We study the efficiency of operations management in a hospital from the dynamics of the flow of patients. Our principal aim is to characterize strategic departments and seasonal patterns in a hospital from a complex networks approach. Process mining techniques are developed to track out-patients' pathways along different departments for the purpose of building weekly networks. In these networks, departments act as nodes with multiple out/in-going arrows connecting other departments. Strategic departments are classified into target and critical departments...
January 3, 2019: Health Care Management Science
Menel Benzaid, Nadia Lahrichi, Louis-Martin Rousseau
Chemotherapy planning and patient-nurse assignment problems are complex multiobjective decision problems. Schedulers must make upstream decisions that affect daily operations. To improve productivity, we propose a two-stage procedure to schedule treatments for new patients, to plan nurse requirements, and to assign the daily patient mix to available nurses. We develop a mathematical formulation that uses a waiting list to take advantage of last-minute cancellations. In the first stage, we assign appointments to the new patients at the end of each day, we estimate the daily requirement for nurses, and we generate the waiting list...
January 3, 2019: Health Care Management Science
Kuan-Chen Chen, Hong-Ming Chen, Li-Nien Chien, Ming-Miin Yu
As the competition in the Taiwanese medical industry becomes increasingly fierce, public hospitals are confronted with challenges in orientation and operations. This study measured changes in the operational efficiency of public and their competitors, non-public hospitals, in Taiwan. This study considered differences in technology and scale between public and non-public hospitals and adopted the quality-incorporating metafrontier Malmquist productivity index to analyze inputs, outputs, and quality achievements of hospitals...
January 3, 2019: Health Care Management Science
Bayram Şahin, Gülnur İlgün
This study aimed to reflect the efficiency of hospitals under the Ministry of Health (MoH) before and after the implementation of Public Hospital Associations (PHAs). This study covered 3 years before (2010-2012) and 3 years after (2013-2015) the implementation. The population of the study included 865 hospitals under the MoH providing health care services in 81 provinces. No sample was selected; all hospitals were included under the scope of study. The provinces were chosen as the decision-making unit. Changes in the efficiency values of hospitals were analyzed with the Malmquist Total Factor Efficiency Index...
November 21, 2018: Health Care Management Science
Samuel Davis, Nasser Fard
Failing to match the supply of resources to the demand for resources in a hospital can cause non-clinical transfers, diversions, safety risks, and expensive under-utilized resource capacity. Forecasting bed demand helps achieve appropriate safety standards and cost management by proactively adjusting staffing levels and patient flow protocols. This paper defines the theoretical bounds on optimal bed demand prediction accuracy and develops a flexible statistical model to approximate the probability mass function of future bed demand...
November 6, 2018: Health Care Management Science
Michael Fairley, David Scheinker, Margaret L Brandeau
The operating room is a major cost and revenue center for most hospitals. Thus, more effective operating room management and scheduling can provide significant benefits. In many hospitals, the post-anesthesia care unit (PACU), where patients recover after their surgical procedures, is a bottleneck. If the PACU reaches capacity, patients must wait in the operating room until the PACU has available space, leading to delays and possible cancellations for subsequent operating room procedures. We develop a generalizable optimization and machine learning approach to sequence operating room procedures to minimize delays caused by PACU unavailability...
November 1, 2018: Health Care Management Science
Saligrama Agnihothri, Leon Cui, Mohammad Delasay, Balaraman Rajan
Chronic conditions place a high cost burden on the healthcare system and deplete the quality of life for millions of Americans. Digital innovations such as mobile health (mHealth) technology can be used to provide efficient and effective healthcare. In this research we explore the use of mobile technology to manage chronic conditions such as diabetes and hypertension. There is ample empirical evidence in the healthcare literature showing that patients who use mHealth observe improvement in their health. However, an analytical study that quantifies the benefit of using mHealth is lacking...
October 31, 2018: Health Care Management Science
Matthew Herland, Richard A Bauder, Taghi M Khoshgoftaar
Quality and affordable healthcare is an important aspect in people's lives, particularly as they age. The rising elderly population in the United States (U.S.), with increasing number of chronic diseases, implies continuing healthcare later in life and the need for programs, such as U.S. Medicare, to help with associated medical expenses. Unfortunately, due to healthcare fraud, these programs are being adversely affected draining resources and reducing quality and accessibility of necessary healthcare services...
October 27, 2018: Health Care Management Science
Lauren E Cipriano, Thomas A Weber
We develop a general framework for optimal health policy design in a dynamic setting. We consider a hypothetical medical intervention for a cohort of patients where one parameter varies across cohorts with imperfectly observable linear dynamics. We seek to identify the optimal time to change the current health intervention policy and the optimal time to collect decision-relevant information. We formulate this problem as a discrete-time, infinite-horizon Markov decision process and we establish structural properties in terms of first and second-order monotonicity...
December 2018: Health Care Management Science
Sze-Chuan Suen, Margaret L Brandeau, Jeremy D Goldhaber-Fiebert
Effective treatment for tuberculosis (TB) patients on first-line treatment involves triaging those with drug-resistant (DR) TB to appropriate treatment alternatives. Patients likely to have DR TB are identified using results from repeated inexpensive sputum-smear (SS) tests and expensive but definitive drug sensitivity tests (DST). Early DST may lead to high costs and unnecessary testing; late DST may lead to poor health outcomes and disease transmission. We use a partially observable Markov decision process (POMDP) framework to determine optimal DST timing...
December 2018: Health Care Management Science
Zuraida Abal Abas, Mohamad Raziff Ramli, Mohamad Ishak Desa, Nordin Saleh, Ainul Nadziha Hanafiah, Nuraini Aziz, Zaheera Zainal Abidin, Abdul Samad Shibghatullah, Ahmad Fadzli Nizam Abdul Rahman, Haslinda Musa
The paper aims to provide an insight into the significance of having a simulation model to forecast the supply of registered nurses for health workforce planning policy using System Dynamics. A model is highly in demand to predict the workforce demand for nurses in the future, which it supports for complete development of a needs-based nurse workforce projection using Malaysia as a case study. The supply model consists of three sub-models to forecast the number of registered nurses for the next 15 years: training model, population model and Full Time Equivalent (FTE) model...
December 2018: Health Care Management Science
Vahab Vahdat, Jacqueline Griffin, James E Stahl
To address prolonged lengths of stay (LOS) in ambulatory care clinics, we analyze the impact of implementing flexible and dynamic policies for assigning exam rooms to providers. In contrast to the traditional approaches of assigning specific rooms to each provider or pooling rooms among all practitioners, we characterize the impact of alternate compromise policies that have not been explored in previous studies. Since ambulatory care patients may encounter multiple different providers in a single visit, room allocation can be determined separately for each encounter accordingly...
December 2018: Health Care Management Science
Sahar Ahmadvand, Mir Saman Pishvaee
Given the perennial imbalance and chronic scarcity between the demand for and supply of available organs, organ allocation is one of the most critical decisions in the management of organ transplantation networks. Organ allocation systems undergo rapid revisions for the sake of improved outcomes in terms of both equity and medical efficiency. This paper presents a Data Envelopment Analysis (DEA)-based model to evaluate the efficiency of possible patient-organ pairs for kidney allocation in order to enhance the fitness of organ allocation under inherent uncertainty in such problem...
December 2018: Health Care Management Science
Yin-Chi Chan, Eric W M Wong, Gavin Joynt, Paul Lai, Moshe Zukerman
An earlier article, inspired by overflow models in telecommunication systems with multiple streams of telephone calls, proposed a new analytical model for a network of intensive care units (ICUs), and a new patient referral policy for such networks to reduce the blocking probability of external emergency patients without degrading the quality of service (QoS) of canceled elective operations, due to the more efficient use of ICU capacity overall. In this work, we use additional concepts and insights from traditional teletraffic theory, including resource sharing, trunk reservation, and mutual overflow, to design a new patient referral policy to further improve ICU network efficiency...
December 2018: Health Care Management Science
Nisha Nataraj, Julie Simmons Ivy, Fay Cobb Payton, Joseph Norman
In the US, one in four adults has two or more chronic conditions; this population accounts for two thirds of healthcare spending. Comorbidity, the presence of multiple simultaneous health conditions in an individual, is increasing in prevalence and has been shown to impact patient outcomes negatively. Comorbidities associated with diabetes are correlated with increased incidence of preventable hospitalizations, longer lengths of stay (LOS), and higher costs. This study focuses on sex and race disparities in outcomes for hospitalized adult patients with and without diabetes...
December 2018: Health Care Management Science
Soovin Yoon, Laura A Albert
Emergency medical services provide immediate care to patients with various types of needs. When the system is congested, the response to urgent emergency calls can be delayed. To address this issue, we propose a spatial Hypercube approximation model with a cutoff priority queue that estimates performance measures for a system where some servers are reserved exclusively for high priority calls when the system is congested. In the cutoff priority queue, low priority calls are not immediately served-they are either lost or entered into a queue-whenever the number of busy ambulances is equal to or greater than the cutoff...
December 2018: Health Care Management Science
Xiang Zhong, Peter Hoonakker, Philip A Bain, Albert J Musa, Jingshan Li
To improve patient access to primary care, many healthcare organizations have introduced electronic visits (e-visits) to provide patient-physician communication through secure messages. However, it remains unclear how e-visit affects physicians' operations on a daily basis and whether it would increase physicians' panel size. In this study, we consider a primary care physician who has a steady patient panel and manages patients' office and e-visits, as well as other indirect care tasks. We use queueing-based performance outcomes to evaluate the performance of care delivery...
December 2018: Health Care Management Science
Ruben A Proano, Akshit Agarwal
Completing a residency program is a requirement for medical students before they can practice medicine independently. Residency programs in internal medicine must undergo a series of supervised rotations in elective, inpatient, and ambulatory units. Typically, a team of chief residents is charged to develop a yearly rotational schedule. This process is complex, as it needs to consider academic, managerial, regulatory, and legal restrictions while also facilitating the provision of patient care, ensuring a diverse educational experience, balancing the workload, and improving resident satisfaction...
December 2018: Health Care Management Science
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