scholarly journals Systematic Review of Economic Impact Studies of Artificial Intelligence in Health Care

10.2196/16866 ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. e16866 ◽  
Author(s):  
Justus Wolff ◽  
Josch Pauling ◽  
Andreas Keck ◽  
Jan Baumbach
Keyword(s):  
Health Care ◽  
Economic Impact ◽  
Quality Criteria ◽  
Second Step ◽  
Impact Studies ◽  
Economic Impact Assessment ◽  
Cost Impact ◽  
Economic Impact Studies ◽  
Effectiveness Studies

Background Positive economic impact is a key decision factor in making the case for or against investing in an artificial intelligence (AI) solution in the health care industry. It is most relevant for the care provider and insurer as well as for the pharmaceutical and medical technology sector. Although the broad economic impact of digital health solutions in general has been assessed many times in literature and the benefit for patients and society has also been analyzed, the specific economic impact of AI in health care has been addressed only sporadically. Objective This study aimed to systematically review and summarize the cost-effectiveness studies dedicated to AI in health care and to assess whether they meet the established quality criteria. Methods In a first step, the quality criteria for economic impact studies were defined based on the established and adapted criteria schemes for cost impact assessments. In a second step, a systematic literature review based on qualitative and quantitative inclusion and exclusion criteria was conducted to identify relevant publications for an in-depth analysis of the economic impact assessment. In a final step, the quality of the identified economic impact studies was evaluated based on the defined quality criteria for cost-effectiveness studies. Results Very few publications have thoroughly addressed the economic impact assessment, and the economic assessment quality of the reviewed publications on AI shows severe methodological deficits. Only 6 out of 66 publications could be included in the second step of the analysis based on the inclusion criteria. Out of these 6 studies, none comprised a methodologically complete cost impact analysis. There are two areas for improvement in future studies. First, the initial investment and operational costs for the AI infrastructure and service need to be included. Second, alternatives to achieve similar impact must be evaluated to provide a comprehensive comparison. Conclusions This systematic literature analysis proved that the existing impact assessments show methodological deficits and that upcoming evaluations require more comprehensive economic analyses to enable economic decisions for or against implementing AI technology in health care. Trial Registration

scholarly journals A Systematic Review of Economic Impact Studies of Artificial Intelligence in Healthcare (Preprint)

2019 ◽  
Author(s):  
Justus Wolff ◽  
Jan Baumbach ◽  
Josch Pauling ◽  
Andreas Keck
Keyword(s):  
Artificial Intelligence ◽  
Economic Impact ◽  
Quality Criteria ◽  
Second Step ◽  
Impact Studies ◽  
Economic Impact Assessment ◽  
Cost Impact ◽  
Economic Impact Studies ◽  
Effectiveness Studies

BACKGROUND Positive economic impact is a key decision factor in making the case for or against investing in an artificial intelligence (AI) solution in the healthcare industry. It is most relevant for the care provider and insurer as well as for the pharmaceutical and medical technology sector. Although the broad economic impact of digital health solutions in general has been assessed many times in literature and also the benefit for patients and society has been analyzed, the specific economic impact of AI in healthcare has been addressed only sporadically. OBJECTIVE To systematically review and summarize cost-effectiveness studies dedicated to AI in healthcare, and to assess whether they meet established quality criteria. METHODS In a first step, the quality criteria for economic impact studies were defined based on established and adapted criteria schemes for cost impact assessments. In a second step, a systematic literature review based on qualitative and quantitative inclusion and exclusion criteria was conducted to identify the relevant publications for an in-depth analysis of economic impact assessment. In a final step, the quality of the identified economic impact studies was evaluated based on the defined quality criteria for cost-effectiveness studies. RESULTS Very few publications have thoroughly addressed economic impact assessment and the economic assessment quality of according AI publications shows severe methodological deficits. Only six out of 66 publications could be included in the second step of the analysis based on the inclusion criteria. Out of these six studies, none comprised a methodologically complete cost impact analysis. There are two areas for improvement: First, initial investment and operational costs for the AI infrastructure and service need to be included. Second, alternatives to achieve similar impact must be evaluated to provide a comprehensive comparison. CONCLUSIONS The systematic literature analysis proved that existing impact assessments show methodological deficits, and that upcoming evaluations require more comprehensive economic analyses to enable economic decisions for or against implementing AI technology in healthcare.

ECONOMIC IMPACT STUDIES

1979 ◽  
Vol 3 (4) ◽  
pp. 387-397
Author(s):  
Andrew Hill∗
Keyword(s):  
Economic Impact ◽  
Impact Studies ◽  
Economic Impact Studies

Quality Evaluation of Health Care Establishment Utilizing Fuzzy AHP

2017 ◽  
Vol 8 (4) ◽  
pp. 83-120 ◽  
Author(s):  
Mohammad Azam ◽  
Mohamed Rafik Noor Mohamed Qureshi ◽  
Faisal Talib
Keyword(s):  
Health Care ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Quality Evaluation ◽  
Fuzzy Ahp ◽  
Quality Criteria ◽  
Human Cognition ◽  
Multiple Components ◽  
Health Care Establishment

Quality evaluation of healthcare establishment (HCE) is a difficult process as it involves multiple components of quality criteria with various factors and sub-factors therein. Further, the quality criteria are not universally standardized. The subjective evaluation in itself is not reliable as a tool so that available HCEs may be investigated for selecting the best among them. Thus, to avoid vagueness and imprecision due to process of human cognition the need to evolve a useful method for evaluation of quality of HCE was essentially required. To achieve such an objective three well established HCEs from northern cities of India have been studied. An Integrated Quality Model designed for HCE (Azam et al., 2012a, 2012b) and specifically tested previously with the AHP study by the authors (Azam et al., 2015) with its components, parameters and factors sub-factors has been utilized to evaluate the quality aspects of HCEs forming subjects of the current study. Further, the standard formula of Fuzzy AHP methodology with the application of fuzzy set theory was applied to the multiple components of the quality criteria with various factors and sub-factors therein pertaining to various HCEs forming the subject of the study. Quality of the HCEs thus could be evaluated empirically avoiding vagueness due to human cognition factors. Utilizing this methodology respective rankings of HCEs could also be assigned among them with practical utility to maintain the required quality of their services. Quality evaluation of Health Care Establishment utilizing Fuzzy AHP along with fuzzy set theory is a unique method which will benefit the client patients to select the best HCE among the available alternatives of HCEs. It also helps the managers to improve the business by allocating scarce resources wherever critically required to improve various quality components criteria factors and sub-factors of their HCEs.

Using Economic Impact Studies to Gain Support for Youth Sports from Local Businesses

2003 ◽  
Vol 74 (6) ◽  
pp. 49-51 ◽  
Author(s):  
Wayne Williams ◽  
Kevin Riley
Keyword(s):  
Economic Impact ◽  
Youth Sports ◽  
Impact Studies ◽  
Economic Impact Studies

Conducting State Level Equine Surveys and Economic Impact Studies: The NCSU-Mereo Method of Determining Missing Data Points

2009 ◽  
Vol 29 (5) ◽  
pp. 456-457
Author(s):  
M.J. Yoder∗ ◽  
I.S. Ha ◽  
R.A. Mowrey ◽  
J. Hollars ◽  
M. Foushee-Lancaster
Keyword(s):  
Missing Data ◽  
Economic Impact ◽  
State Level ◽  
Conducting State ◽  
Impact Studies ◽  
Data Points ◽  
Economic Impact Studies

scholarly journals Assessment of Economic Impact Studies: The Cases of BMW and Mercedes-Benz

2001 ◽  
Author(s):  
John E. Connaughton ◽  
Ronald A. Madsen
Keyword(s):  
Economic Impact ◽  
Impact Studies ◽  
Economic Impact Studies

scholarly journals The Use Of Economic Impact Studies As A Service Learning Tool In Undergraduate Business Programs

2004 ◽  
Vol 1 (11) ◽  
Author(s):  
John M. Misner
Keyword(s):  
Service Learning ◽  
Economic Impact ◽  
Business Students ◽  
Economic Benefits ◽  
Business Programs ◽  
Impact Studies ◽  
Effective Manner ◽  
Economic Impact Studies ◽  
Service Learning Projects ◽  
Learning Projects

This paper examines the use of community based economic impact studies as service learning tools for undergraduate business programs.  Economic impact studies are used to measure the economic benefits of a variety of activities such as community redevelopment, tourism, and expansions of existing facilities for both private and public producers.  Economic impact studies when structured as service learning projects provide an experiential learning environment for business students, affording them with the opportunity of applying the knowledge and skills learned in the classroom while at the same time engaging in community service.  Such projects can expose students to the importance of corporate social responsibility and help involved faculty to remain current in their fields of expertise while providing pedagogical and practice oriented avenues for research.  Clients gain access to expertise in a cost effective manner.  When done effectively, service learning projects in undergraduate business programs generate goodwill and favorable publicity while helping academic institutions meet mission statements and address specific accreditation standards.

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