scholarly journals Economic theory meets clinical practice: moral hazard

2019 ◽  
Vol 4 ◽  
Author(s):  
Olga Vasylyeva
Keyword(s):  
Health Care ◽  
Economic Theory ◽  
Clinical Practice ◽  
Moral Hazard ◽  
Real Life ◽  
Medical Services ◽  
Health Care Economics ◽  
Services Utilization ◽  
Field Of Vision ◽  
Concept Of Health

Economic theory must be tested by reality to prove that the goal is achievable and reproducible. However, health care economics do not always theorize based on modern-day medical practice, which results in detachment of some economic recommendations from real-life medicine. The theory of “moral hazard” assumes that patients will utilize more medical services if they transfer the risk of cost to insurances. In this article, we will revisit the understanding of appropriate avoidance of medical services and incorporate no-show rate, avoidance of care, and nonadherence into the concept of health services utilization. The primary goal of this interdisciplinary commentary is to bridge economic theory with clinical practice. It is written from the perspective of a clinical practitioner, who applies realities of everyday medicine to economic reasoning. The author hopes that this abstract will extend the field of vision of health care economics.   

Health Economics: Select Concepts of the Health Production Function, Risk, and Insurance

2018 ◽  
Author(s):  
Bruce L Hall
Keyword(s):  
Health Care ◽  
Health Economics ◽  
Health Care Policy ◽  
Insurance Contract ◽  
Health Care Economics ◽  
Health Production ◽  
Health Production Function ◽  
Concept Of Health ◽  
The Individual ◽  
Entire Theory

The production of health as an output of various inputs is a key concept of health care economics and a key influence on health care policy. Similarly, the notion of risk—that an outcome might not turn out as expected or hoped—underpins the entire theory of insurance. Insurance, and the benefits it can provide, cannot be understood without understanding risk, or without understanding how the features of an insurance contract transform risk for the individual, the payer, or society. The health economist, policy maker, leader, expert operator, financier, insurer, clinician of any stripe, patient or family or advocate, or other interested stakeholder must always consider the structural, clinical, and economic anatomy of health care in the context of the underlying physiology of these economic concepts. This review contains 2 figures, 1 table, and 14 references. Key Words: health economics, health policy, health production, marginal return (diminishing), utility, inputs, QALY, risk (aversion or tolerance), insurance (contract features)

scholarly journals Genetic researches in standards of delivery of health care

2018 ◽  
Vol 20 (1) ◽  
pp. 190-194
Author(s):  
V Yu Kravtsov ◽  
A I Solovev ◽  
I A Ivanov
Keyword(s):  
Health Care ◽  
Clinical Practice ◽  
Medical Care ◽  
Molecular Genetic ◽  
Hereditary Diseases ◽  
Medical Services ◽  
Genetic Diagnostics ◽  
Parasitic Diseases ◽  
Causative Agents ◽  
Molecular Genetic Diagnostics

The analysis of legal base of genetic researches in clinical practice is carried out. Modern standards of medical care are analyzed. The list of the diseases and pathological states demanding performance of genetic researches is made. The list of the medical services connected with genetic researches is also made. It is shown, that genetic researches make 10% of the nomenclature of medical services. From them about 60% medical services provide diagnosis of somatic pathology, the others are directed to identification of nucleinic acids of causative agents of infectious and parasitic diseases. Genetic researches are carried out mainly at a stage of specialized and primary medical care. Genetic researches are included in20% of standards of medical care. Genetic researches are conducted concerning 15 classes of diseases. More often genetic researches are conducted for diagnosis of the latent infections, enzimopatiya, hereditary diseases of a metabolism, and also cancer. There are some problems of cytogenetic and molecular genetic diagnostics in hospitals. Genetic researches are complex and expensive. Interpretation of the received results is difficult. It is necessary to develop standards of genetic researches. It is necessary to improve legal base of genetic researches.

Health Economics: Select Concepts of the Health Production Function, Risk, and Insurance

2018 ◽  
Author(s):  
Bruce L Hall
Keyword(s):  
Health Care ◽  
Health Economics ◽  
Health Care Policy ◽  
Insurance Contract ◽  
Health Care Economics ◽  
Health Production ◽  
Health Production Function ◽  
Concept Of Health ◽  
The Individual ◽  
Entire Theory

The production of health as an output of various inputs is a key concept of health care economics and a key influence on health care policy. Similarly, the notion of risk—that an outcome might not turn out as expected or hoped—underpins the entire theory of insurance. Insurance, and the benefits it can provide, cannot be understood without understanding risk, or without understanding how the features of an insurance contract transform risk for the individual, the payer, or society. The health economist, policy maker, leader, expert operator, financier, insurer, clinician of any stripe, patient or family or advocate, or other interested stakeholder must always consider the structural, clinical, and economic anatomy of health care in the context of the underlying physiology of these economic concepts. This review contains 2 figures, 1 table, and 14 references. Key Words: health economics, health policy, health production, marginal return (diminishing), utility, inputs, QALY, risk (aversion or tolerance), insurance (contract features)

Health Economics: Select Concepts of the Health Production Function, Risk, and Insurance

2018 ◽  
Author(s):  
Bruce L Hall
Keyword(s):  
Health Care ◽  
Health Economics ◽  
Health Care Policy ◽  
Insurance Contract ◽  
Health Care Economics ◽  
Health Production ◽  
Health Production Function ◽  
Concept Of Health ◽  
The Individual ◽  
Entire Theory

The production of health as an output of various inputs is a key concept of health care economics and a key influence on health care policy. Similarly, the notion of risk—that an outcome might not turn out as expected or hoped—underpins the entire theory of insurance. Insurance, and the benefits it can provide, cannot be understood without understanding risk, or without understanding how the features of an insurance contract transform risk for the individual, the payer, or society. The health economist, policy maker, leader, expert operator, financier, insurer, clinician of any stripe, patient or family or advocate, or other interested stakeholder must always consider the structural, clinical, and economic anatomy of health care in the context of the underlying physiology of these economic concepts. This review contains 2 figures, 1 table, and 14 references. Key Words: health economics, health policy, health production, marginal return (diminishing), utility, inputs, QALY, risk (aversion or tolerance), insurance (contract features)

Health Economics: Select Concepts of the Health Production Function, Risk, and Insurance

2018 ◽  
Author(s):  
Bruce L Hall
Keyword(s):  
Health Care ◽  
Health Economics ◽  
Health Care Policy ◽  
Insurance Contract ◽  
Health Care Economics ◽  
Health Production ◽  
Health Production Function ◽  
Concept Of Health ◽  
The Individual ◽  
Entire Theory

The production of health as an output of various inputs is a key concept of health care economics and a key influence on health care policy. Similarly, the notion of risk—that an outcome might not turn out as expected or hoped—underpins the entire theory of insurance. Insurance, and the benefits it can provide, cannot be understood without understanding risk, or without understanding how the features of an insurance contract transform risk for the individual, the payer, or society. The health economist, policy maker, leader, expert operator, financier, insurer, clinician of any stripe, patient or family or advocate, or other interested stakeholder must always consider the structural, clinical, and economic anatomy of health care in the context of the underlying physiology of these economic concepts. This review contains 2 figures, 1 table, and 14 references. Key Words: health economics, health policy, health production, marginal return (diminishing), utility, inputs, QALY, risk (aversion or tolerance), insurance (contract features)

scholarly journals Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review (Preprint)

2020 ◽  
Author(s):  
Jiamin Yin ◽  
Kee Yuan Ngiam ◽  
Hock Hai Teo
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Clinical Practice ◽  
Risk Analysis ◽  
Early Stage ◽  
Controlled Trial ◽  
Real Life ◽  
Disease Diagnosis ◽  
Clinical Settings ◽  
Clinical Implementation

BACKGROUND Artificial intelligence (AI) applications are growing at an unprecedented pace in health care, including disease diagnosis, triage or screening, risk analysis, surgical operations, and so forth. Despite a great deal of research in the development and validation of health care AI, only few applications have been actually implemented at the frontlines of clinical practice. OBJECTIVE The objective of this study was to systematically review AI applications that have been implemented in real-life clinical practice. METHODS We conducted a literature search in PubMed, Embase, Cochrane Central, and CINAHL to identify relevant articles published between January 2010 and May 2020. We also hand searched premier computer science journals and conferences as well as registered clinical trials. Studies were included if they reported AI applications that had been implemented in real-world clinical settings. RESULTS We identified 51 relevant studies that reported the implementation and evaluation of AI applications in clinical practice, of which 13 adopted a randomized controlled trial design and eight adopted an experimental design. The AI applications targeted various clinical tasks, such as screening or triage (n=16), disease diagnosis (n=16), risk analysis (n=14), and treatment (n=7). The most commonly addressed diseases and conditions were sepsis (n=6), breast cancer (n=5), diabetic retinopathy (n=4), and polyp and adenoma (n=4). Regarding the evaluation outcomes, we found that 26 studies examined the performance of AI applications in clinical settings, 33 studies examined the effect of AI applications on clinician outcomes, 14 studies examined the effect on patient outcomes, and one study examined the economic impact associated with AI implementation. CONCLUSIONS This review indicates that research on the clinical implementation of AI applications is still at an early stage despite the great potential. More research needs to assess the benefits and challenges associated with clinical AI applications through a more rigorous methodology.

Patient Involvement in Health Care. Different Terms Same Concept?

2019 ◽  
Vol 8 (1) ◽  
pp. 1-10
Author(s):  
Aliki Xochelli ◽  
Kostas Stamatopoulos ◽  
Christina Karamanidou
Keyword(s):  
Health Care ◽  
Clinical Practice ◽  
Health Systems ◽  
Patient Participation ◽  
Chronic Conditions ◽  
Patient Involvement ◽  
Real Life ◽  
Everyday Clinical Practice ◽  
Actual Content ◽  
Potential Impact

Patient participation in health care is widely considered as crucial for the development of improved health systems and the refined management of chronic conditions. Against this background, however, there are divergent views and contradictions regarding its definition and actual content and scope. Moreover, there is no consensus as to the appropriate interventions, hence assessing their impact remains a challenge. The authors herein comment on the terms that are most commonly used for defining patient involvement in health care and underline the barriers identified in everyday clinical practice that may be responsible for failing to fully materialize its potential impact and/or endorsing it in real life.

Evidence-Based Occupational Therapy

1998 ◽  
Vol 65 (3) ◽  
pp. 131-135 ◽  
Author(s):  
Mary Law ◽  
Carolyn Baum
Keyword(s):  
Health Care ◽  
Clinical Practice ◽  
Occupational Therapy ◽  
Real Life ◽  
Evidence Based ◽  
Clinical Decisions ◽  
Evidence Based Health Care

“Is evidence-based health care just a passing fad, promoted by managers and purchasers enjoying their influence over clinical practice, but doomed to fail as a far too cumbersome method for dealing with the complexity and imprecision of real-life clinical decisions? ”

scholarly journals Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review

10.2196/25759 ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. e25759
Author(s):  
Jiamin Yin ◽  
Kee Yuan Ngiam ◽  
Hock Hai Teo
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Clinical Practice ◽  
Risk Analysis ◽  
Early Stage ◽  
Controlled Trial ◽  
Real Life ◽  
Disease Diagnosis ◽  
Clinical Settings ◽  
Clinical Implementation

Background Artificial intelligence (AI) applications are growing at an unprecedented pace in health care, including disease diagnosis, triage or screening, risk analysis, surgical operations, and so forth. Despite a great deal of research in the development and validation of health care AI, only few applications have been actually implemented at the frontlines of clinical practice. Objective The objective of this study was to systematically review AI applications that have been implemented in real-life clinical practice. Methods We conducted a literature search in PubMed, Embase, Cochrane Central, and CINAHL to identify relevant articles published between January 2010 and May 2020. We also hand searched premier computer science journals and conferences as well as registered clinical trials. Studies were included if they reported AI applications that had been implemented in real-world clinical settings. Results We identified 51 relevant studies that reported the implementation and evaluation of AI applications in clinical practice, of which 13 adopted a randomized controlled trial design and eight adopted an experimental design. The AI applications targeted various clinical tasks, such as screening or triage (n=16), disease diagnosis (n=16), risk analysis (n=14), and treatment (n=7). The most commonly addressed diseases and conditions were sepsis (n=6), breast cancer (n=5), diabetic retinopathy (n=4), and polyp and adenoma (n=4). Regarding the evaluation outcomes, we found that 26 studies examined the performance of AI applications in clinical settings, 33 studies examined the effect of AI applications on clinician outcomes, 14 studies examined the effect on patient outcomes, and one study examined the economic impact associated with AI implementation. Conclusions This review indicates that research on the clinical implementation of AI applications is still at an early stage despite the great potential. More research needs to assess the benefits and challenges associated with clinical AI applications through a more rigorous methodology.

Overview of Current Approaches to Aural Rehabilitation for Adults With Cochlear Implants

2020 ◽  
Vol 5 (5) ◽  
pp. 1175-1187
Author(s):  
Rachel Glade ◽  
Erin Taylor ◽  
Deborah S. Culbertson ◽  
Christin Ray
Keyword(s):  
Health Care ◽  
Clinical Practice ◽  
Cochlear Implants ◽  
Practice Patterns ◽  
The United States ◽  
Care Providers ◽  
Aural Rehabilitation ◽  
Starting Point ◽  
Clinical Models ◽  
Hearing Health

Purpose This clinical focus article provides an overview of clinical models currently being used for the provision of comprehensive aural rehabilitation (AR) for adults with cochlear implants (CIs) in the Unites States. Method Clinical AR models utilized by hearing health care providers from nine clinics across the United States were discussed with regard to interprofessional AR practice patterns in the adult CI population. The clinical models were presented in the context of existing knowledge and gaps in the literature. Future directions were proposed for optimizing the provision of AR for the adult CI patient population. Findings/Conclusions There is a general agreement that AR is an integral part of hearing health care for adults with CIs. While the provision of AR is feasible in different clinical practice settings, service delivery models are variable across hearing health care professionals and settings. AR may include interprofessional collaboration among surgeons, audiologists, and speech-language pathologists with varying roles based on the characteristics of a particular setting. Despite various existing barriers, the clinical practice patterns identified here provide a starting point toward a more standard approach to comprehensive AR for adults with CIs.

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