Health Care as a “Market Good”? Appendicitis as a Case Study

Hsia, Renee Y.; Kothari, Abbas H.; Srebotnjak, Tanja; Maselli, Judy

doi:10.1001/archinternmed.2012.1173

Cited by 27 publications

(21 citation statements)

References 6 publications

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“…A report showed that, in United States, the price for an appendectomy was between USD 1529 and USD 182,955 [34]. It is not always true that the quality of service increases with the price and, therefore, in [35], a combinatorial optimization problem was formulated to minimize the patient's cost and maximize the providers' quality.…”

Section: Combinatorial Optimizationmentioning

confidence: 99%

“…Three kinds of optimization algorithms, evolutionary [8][9][10][11][12][13][14][15][16][17], stochastic [18][19][20][21][22][23][24][25][26][27][28][29] and combinatorial optimization [30][31][32][33][34][35][36][37][38] will be addressed. For machine learning algorithms, the discussion is based on un-supervised learning [39][40][41][42][43][44][45][46][47][48][49], supervised learning and semi-supervised learning [71][72][73][74][75][76][77][78]…”

Section: Introductionmentioning

confidence: 99%

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Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

et al. 2017

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Abstract:To promote sustainable development, the smart city implies a global vision that merges artificial intelligence, big data, decision making, information and communication technology (ICT), and the internet-of-things (IoT). The ageing issue is an aspect that researchers, companies and government should devote efforts in developing smart healthcare innovative technology and applications. In this paper, the topic of disease diagnosis in smart healthcare is reviewed. Typical emerging optimization algorithms and machine learning algorithms are summarized. Evolutionary optimization, stochastic optimization and combinatorial optimization are covered. Owning to the fact that there are plenty of applications in healthcare, four applications in the field of diseases diagnosis (which also list in the top 10 causes of global death in 2015), namely cardiovascular diseases, diabetes mellitus, Alzheimer's disease and other forms of dementia, and tuberculosis, are considered. In addition, challenges in the deployment of disease diagnosis in healthcare have been discussed.

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Section: Combinatorial Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

et al. 2017

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“…Wide variations in health care costs have also been observed, reflecting different charges that have been negotiated between hospitals and third-party payers (private insurance companies and the Center for Medicare and Medicaid Services). For example, a recent analysis of hospital charges for acute appendicitis in California hospitals found a 119-fold difference between the lowest and highest observed charge, with nearly one-third of this variation unexplained by patient or hospital-level factors (Hsia et al 2012), suggesting that price variations bear little relation to quality differences for this standard operation. Thus, while advertising exerts procompetitive effects by increasing demand for lower costs goods and services in markets where price and quality are transparent, advertising for health care services is unlikely to exert similar effects because patients lack information about both quality and costs.…”

Section: Assessing Pricementioning

confidence: 99%

The Ethics of Advertising for Health Care Services

Schenker

Arnold

London

2014

The American Journal of Bioethics

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Advertising by health care institutions has increased steadily in recent years. While direct-to-consumer prescription drug advertising is subject to unique oversight by the Federal Drug Administration, advertisements for health care services are regulated by the Federal Trade Commission and treated no differently from advertisements for consumer goods. In this article, we argue that decisions about pursuing health care services are distinguished by informational asymmetries, high stakes, and patient vulnerabilities, grounding fiduciary responsibilities on the part of health care providers and health care institutions. Using examples, we illustrate how common advertising techniques may mislead patients and compromise fiduciary relationships, thereby posing ethical risks to patients, providers, health care institutions, and society. We conclude by proposing that these risks justify new standards for advertising when considered as part of the moral obligation of health care institutions and suggest that mechanisms currently in place to regulate advertising for prescription pharmaceuticals should be applied to advertising for health care services more broadly.

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“…They are even unsure whether the assumptions of economic theory apply to the health sector. The promise of lower public healthcare expenditure, enhanced cost containment and increased quality of service through market forces remain unfulfilled, both in the Netherlands and elsewhere (Gechert, 2010;Hsia, Kothari, Srebotnjak & Maselli, 2012;Okma, Marmor & Oberlander, 2011;Unger, De Paepe, Sen & Soors, 2010). Nevertheless, the Dutch government continues to develop more market incentives.…”

Section: T H E C a S E O F T H E N E T H E R L A N D S : O V E R C R mentioning

confidence: 99%

Public mental healthcare: towards a superfluous safety net

Schout¹,

Jong

2013

JSI

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Public mental healthcare: towards a superfluous safety netThis paper contests the merits of Public Mental Healthcare (PMHC) and examines the mission and structure of PMHC as a service. A description of the mission and structure of PMHC as a service is lacking, and even reflections on the type of service provided are scarce. In market-driven healthcare systems, the power of self-care and informal care is overlooked leading to excessive forms of professionalism. The resources of civil society are also neglected and leading to a loss of quality and price increases. Thresholds, budget cuts and the inaccessibility of services that come with it, form the background of a safety net such as PMHC. Integrated and accessible care is not within reach for people with multiple and complex problems. The very existence of PMHC is related to the rise of commodification, consumerism and the decline of primary healthcare values.

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Health Care as a “Market Good”? Appendicitis as a Case Study

Cited by 27 publications

References 6 publications

Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

The Ethics of Advertising for Health Care Services

Public mental healthcare: towards a superfluous safety net

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