Quality of Care

Song, Hummy; Veeraraghavan, Senthil K.

doi:10.1002/9781119300977.ch5

Cited by 21 publications

(6 citation statements)

References 115 publications

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“…Patients might still experience differences in quality of care even though all of them are survivors (or non‐survivors), and by focusing on mortality only, we neglect these nuances. Quality of care is an inherently debatable concept, and there are different views on how to conceptualize and operationalize it (Song & Veeraraghavan, 2018 ; Wiig et al., 2014 ). The set of quality indicators reported by hospitals varies among hospitals and over the years, and the definitions of the indicators change.…”

Section: Discussionmentioning

confidence: 99%

Have Dutch Hospitals Saved Lives and Reduced Costs? A longitudinal patient‐level analysis over the years 2013–2017

Sülz

Wagenaar²,

Klundert

2021

Health Economics

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Many countries across the globe have designed and implemented health system reforms with the joint purposes of improving outcomes and reducing costs. These two components form the numerator and denominator of cost-effectiveness and are the ultimate measure of value-based health care (Drummond et al., 2015;Porter, 2010). The core of these objectives can be condensed to reducing the burden of cost and lives cut short (World Health Organization [WHO], 2018). This study sheds light on the improvements in the commonly reported measures hospital costs and hospital mortality in the Netherlands for the conditions, acute myocardial infarction (AMI), chronic heart failure (CHF), and pneumonia (PNE). It considers the period 2013-2017 after the Dutch Health Reform has completed its gradual implementation in 2012 (Douven et al.

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Section: Discussionmentioning

confidence: 99%

Have Dutch Hospitals Saved Lives and Reduced Costs? A longitudinal patient‐level analysis over the years 2013–2017

Sülz

Wagenaar²,

Klundert

2021

Health Economics

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“…Integrating outcomes and behavior into patient flow optimization. Improving patient outcomes is vital for hospitals’ operations, especially in the era of value‐based care (Burwell 2015, Song and Veeraraghavan 2018). While traditional service operations mainly target for improving operational improvement (e.g., shortening waiting time, increasing throughput), there has been a growing interest to account for patient outcomes in hospital operational decisions.…”

Section: Beyond the Single‐pool Model And Future Researchmentioning

confidence: 99%

Recent Modeling and Analytical Advances in Hospital Inpatient Flow Management

Dai

Shi

2021

Production and Operations Management

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I npatient flow management plays a critical role in care delivery, patient outcomes, and hospital operational and financial costs. Modeling and performance analysis of inpatient flow present unique features and challenges that differ from operations in other service industries. In this study, we review recent modeling and analytical advances in the setting of inpatient flow management, with a particular focus on service time models motivated from the observations of inpatient discharges. We first compare two new service time models developed to capture the time-of-day inpatient flow dynamics, and reveal interesting connections between the two models. We then review analytical methods developed to analyze systems with the new service time models. Based on one method, which is amenable to a one-dimensional exact analysis under certain conditions, we further introduce its approximations that have explicit analytical forms and enable efficient computations in large systems. In particular, we showcase how to leverage a powerful tool, Stein's method framework, in the hospital setting for steady-state approximations and characterizing error bounds. We conclude this study by a literature review on other important aspects in inpatient flow management and propose future research directions, from both the modeling and analytical perspectives.

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“…Patient and physician behavior are clearly influenced. (Axelrod et al 2015) The calendar effect also applies to the first few months of each year: "In the past five years, health Indeed, a growing number of HOM scholars, including, for example, Su and Zenios (2004), Ata et al (2017), , Savva et al (2018), and Song and Veeraraghavan (2018), have recognized the power of queueing games in capturing the endogenous nature of access to healthcare services.…”

Section: Interactions Among Healthcare Providers Payors and Patientsmentioning

confidence: 99%

“…Unfortunately, quality-of-care data for individual clinicians (including physicians, physician assistants, and nurse practitioners) have largely been kept secret, despite some aggregate-level data becoming available in recent years. Song and Veeraraghavan (2018) survey HOM research on quality of care, building on which they propose a classification of this literature that consists of structure (e.g., organizational design, resource allocation scheme, and human resource management), process (e.g., length of stay, waiting time, turnaround time, resource utilization, process compliance and deviations), outcome (e.g., mortality, adverse events, readmissions, patient experience, and access). Their survey suggests patients have little access to quality-of-care information, let alone informed decisions in choosing service providers.…”

Section: Interactions Among Clinicians Patients and Hospitalsmentioning

confidence: 99%

OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research

Dai

Tayur

2020

M&SOM

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A new generation of healthcare operations management (HOM) scholars is studying timely healthcare topics (e.g., organization design, design of delivery, and organ transplantation) using contemporary methodological tools (e.g., econometrics, information economics, and queuing games). A distinguishing feature of this stream of work is that it explicitly incorporates behavior, incentive, and policy considerations arising from the entanglements across multiple entities that make up the complex healthcare ecosystem. This focus is a departure from an earlier generation of research that primarily centered on optimizing given operations of a single entity. This paper provides an introduction to this burgeoning field and maps out research opportunities. We start with identifying key entities of healthcare delivery, financing, innovation, and policymaking, illustrating them on a healthcare ecosystem map (HEM). Next, we explore the HOM literature examining the interactions among various entities in the HEM. We then develop a taxonomy for the recent HOM literature (published in Manufacturing & Service Operations Management, Management Science, and OperationsResearch between 2013 and 2017), provide a tool-thrust graph mapping methodological tools with research thrusts, and situate the HOM literature in context by connecting it with perspectives from medical journals and mass media. We close with a reference to technological innovations that have the potential to transform the healthcare ecosystem in future decades.Key words : Healthcare operations management; healthcare ecosystem; behavior, incentive and policy issues in healthcare.

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Quality of Care

Cited by 21 publications

References 115 publications

Have Dutch Hospitals Saved Lives and Reduced Costs? A longitudinal patient‐level analysis over the years 2013–2017

Have Dutch Hospitals Saved Lives and Reduced Costs? A longitudinal patient‐level analysis over the years 2013–2017

Recent Modeling and Analytical Advances in Hospital Inpatient Flow Management

OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research

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