Timely access to health care: Customer-focused resource allocation in a hospital network

Govind, Rahul; Chatterjee, Rabikar; Mittal, Vikas

doi:10.1016/j.ijresmar.2008.07.005

Cited by 20 publications

(23 citation statements)

References 35 publications

(30 reference statements)

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“…In the hospital environment (providers in the healthcare chain), Govind, Chatterjee, and Mittal (2008) develop a spatial model to aid in allocation decisions of available hospital resources to different disease types.…”

Section: Research Questionsmentioning

confidence: 99%

“…Organizations such as WHO, OECD and World Bank offer general descriptions of the health environment in member states. Individual governments often also provide excellent data on the clinical environment (e.g., Govind et al, 2008).…”

Section: Datamentioning

confidence: 99%

“…Govind et al (2008) shows that hospital location and specialization may cause capacity shortages, negatively affecting healthcare access for consumers, often in weak socio-economic areas. The insights we develop may also be of direct relevance in improving consumers' health conditions.…”

Section: Is the Field Relevant?mentioning

confidence: 99%

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Health and marketing: The emergence of a new field of research

Stremersch

2008

International Journal of Research in Marketing

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Section: Research Questionsmentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

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Health and marketing: The emergence of a new field of research

Stremersch

2008

International Journal of Research in Marketing

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“…For this study, we cooperated with a health care fund in a European country that is comparable to IHNs and has evolved from a loosely coupled service system with multiple physicians into a comprehensive system (Govind, Chatterjee, and Mittal 2008). Such organizations, through formal agreements, align health care providers to deliver integrated health care services that improve patient coverage and reduce costs (Wan and Wang 2003).…”

Section: Diagnosing Service Performance: Identifying Best Performers mentioning

confidence: 99%

Measuring and Improving the Performance of Health Service Networks

Hammerschmidt

Falk²,

Staat³

2012

Journal of Service Research

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Health maintenance organizations (HMOs) have intensified their efforts to establish network-like structures with service partners who are responsible for different functions along the health value chain. To calculate the potential value and cost benefits of service production within health care networks and to improve performance in such networks, the authors propose a two-step benchmarking approach. While the first step is concerned with measuring and comparing service provider performance, the second step relates to a contact program that disseminates the lessons learned during the benchmarking process. Across two empirical studies with general practitioners and specialty physicians, the authors identify in a first step tremendous overspendings and provide suggestions on cost reductions that could be achieved without threatening output levels. With regard to the second step, the authors find that detailing efforts based on the results of performance measurement helped physicians to improve their performance. Through detailing, the hub was able to inform network partners about the benchmarking results and to reveal performance gaps in their current resource utilization patterns. In addition, the authors show that managers of HMOs should seek out physicians with smaller practices and high-referral (i.e., risk-averse) physicians as targets for detailing, who are especially responsive to these initiatives.

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“…Govind, Chatterjee, and Mittal (2008) examine a network of hospitals in a predefined geographical area to determine the resources (specifically, beds) that each hospital in the network should devote to different disease classes in order to maximize speed of access to care. Blake and Carter (2002) present linear goal programming models for allocating resources to decide the case mix and volume for physicians in hospitals.…”

Section: Long Term Allocation Modelmentioning

confidence: 99%

Optimization models for patient allocation during a pandemic influenza outbreak.

Sun¹

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Timely access to health care: Customer-focused resource allocation in a hospital network

Cited by 20 publications

References 35 publications

Health and marketing: The emergence of a new field of research

Health and marketing: The emergence of a new field of research

Measuring and Improving the Performance of Health Service Networks

Optimization models for patient allocation during a pandemic influenza outbreak.

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