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Measuring outcomes in healthcare economics using Artificial Intelligence: With application to resource management

Chih-Hao Huang, Feras A. Batarseh, Adel Boueiz, Ajay Kulkarni, Po-Hsuan Su, Jahan Aman
2021 Data & Policy  
This paper presents three data-driven methods that provide data-driven indicators to help healthcare managers organize their economics and identify the most optimum plan for resources allocation and sharing  ...  Using reinforcement learning, genetic algorithms, traveling salesman, and clustering, we experimented with different healthcare variables and presented tools and outcomes that could be applied at health  ...  It is more important than ever to begin integrating Artificial Intelligence (AI) systems into the policy evaluation and advocacy process.  ... 
doi:10.1017/dap.2021.29 pmid:35083434 pmcid:PMC8788986 fatcat:24bv4bmmmvdp7idq5hkwx6occ4

Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Allocation

Feras A. Batarseh, Chih-Hao Huang
2021 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
Using reinforcement learning, geneticalgorithms, traveling salesman, and clustering, weexperimented with different healthcare variables and presentedtools and outcomes that could be applied at healthinstitutes  ...  This manuscript presentsthree intelligent methods that provide data-drivenindicators to help healthcare managers organize their economicsand identify the most optimum plan for resourceallocation and sharing  ...  This manuscript presents three intelligent methods that provide data-driven indicators to help healthcare managers organize their economics and identify the most optimum plan for resource allocation and  ... 
doi:10.32473/flairs.v34i1.128496 fatcat:42msowrs65dlvlahmsxa3s7dii

Healthcare Industry Improvement with Business Intelligence

Mihaela-Laura IVAN, Manole VELICANU
2015 Informatică economică  
in scientific interdisciplinary research, doctoral and postdoctoral, in the economic, social and medical fields -EXCELIS", coordinator The Bucharest University of Economic Studies.  ...  Acknowledgment This paper was co-financed from the European Social Fund, through the Sectorial Operational Program Human Resources Development 2007-2013, project number POSDRU/159/1.5/S/138907 "Excellence  ...  His fields of interest include: Databases, Design of Economic Information Systems, Database Management Systems, Artificial Intelligence, Programming languages.  ... 
doi:10.12948/issn14531305/19.2.2015.08 fatcat:j5c5wuvjzvcqppul6twmywzn7y

Artificial intelligence-enabled healthcare delivery

Sandeep Reddy, John Fox, Maulik P Purohit
2018 Journal of the Royal Society of Medicine  
In recent years, there has been massive progress in artificial intelligence (AI) with the development of deep neural networks, natural language processing, computer vision and robotics.  ...  These techniques are now actively being applied in healthcare with many of the health service activities currently being delivered by clinicians and administrators predicted to be taken over by AI in the  ...  Increase use of AI can bring major social and economic benefits. Artificial intelligence offers massive gains in efficiency, productivity and performance to most or all healthcare delivery processes.  ... 
doi:10.1177/0141076818815510 pmid:30507284 pmcid:PMC6348559 fatcat:7u5r7jgr7jga7jznyufzugd2gm

Artificial Intelligence in the Healthcare Sector

Julia M. Puaschunder, Dieter Feierabend
2019 Zenodo  
In today's healthcare sector and medical profession, AI, algorithms, robotics and big data are used to derive inferences for monitoring large-scale medical trends, detecting and measuring individual risks  ...  Robotics have been used for disabled and patient care assistance. Medical decision making has been supported through predictive analytics and general healthcare management technolo [...]  ...  PuASCHuNDER & FEIERABEND: Artificial Intelligence in the Healthcare Sector  ... 
doi:10.5281/zenodo.3593324 fatcat:bj4jilhkwjabhcd53lewnwzzgy

Artificial Intelligence for Social Good [article]

Gregory D. Hager, Ann Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith,, Milind Tambe
2019 arXiv   pre-print
a public workshop on Artificial Intelligence for Social Good on June 7th, 2016 in Washington, DC.  ...  In the AI for Social Good workshop, the successful deployments and the potential use of AI in various topics that are essential for social good were discussed, including but not limited to urban computing  ...  Artificial Intelligence (AI) for Social Good Workshop There has been an increasing interest in Artificial Intelligence (AI) in recent years.  ... 
arXiv:1901.05406v1 fatcat:cksjoj4pknh6lmftypjs4be6ya

The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

Yipeng Hu, Joseph Jacob, Geoffrey J. M. Parker, David J. Hawkes, John R. Hurst, Danail Stoyanov
2020 Nature Machine Intelligence  
to date in the management of COVID-19.  ...  The gaze of these networks has in recent years turned increasingly towards applications in healthcare.  ...  implemented in local healthcare environments and as outcome likelihoods change due to evolving patient management strategies.  ... 
doi:10.1038/s42256-020-0185-2 fatcat:n7jt6xdarzdn7dgbmzdpt6t4qu

From Business Intelligence to Artificial Intelligence

Bahman Zohuri
2020 Modern Approaches on Material Science  
With smart malware in modern computation world and necessity for Internet-of-Things (IoT), we are in need of a better intelligence system that today we know it as Artificial Intelligence (AI).  ...  With today's growing information and overloading of its volume based on tremendous size of data growing to the level of big data, Business Intelligence (BI) is not enough to handle any day-to-day business  ...  In summary, Artificial Intelligence enables us to put our data in a perspective that will work for us rather than overwhelming us with its sheer volume.  ... 
doi:10.32474/mams.2020.02.000137 fatcat:jtldl7iy7jdgvia5lc4ff7rbya

Artificial Intelligent in Healthcare

Anna Meiliana, Nurrani Mustika Dewi, Andi Wijaya
2019 Indonesian Biomedical Journal  
Most updated, artificial intelligence (AI) and machine-learning (ML) techniques rapidly developed, bring forth the big data analysis into more useful applications, from resource allocation to complex disease  ...  be reformed and not be eroded.KEYWORDS: artificial intelligence, machine learning, deep learning, electronic health records, big data  ...  (37) Artificial Intelligence AI implementation grows rapidly in many industries including healthcare industries. it was expected to augment the ability of humans to provide healthcare, mimic the diagnostic  ... 
doi:10.18585/inabj.v11i2.844 fatcat:kkfd6txbgjd5fijxees6oysqyq

The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare

Yuri Y M Aung, David C S Wong, Daniel S W Ting
2021 British Medical Bulletin  
Introduction Artificial intelligence (AI) and machine learning (ML) are rapidly evolving fields in various sectors, including healthcare.  ...  This article reviews AI's present applications in healthcare, including its benefits, limitations and future scope.  ...  This includes time and resources spent training physicians and healthcare providers to use the technology.  ... 
doi:10.1093/bmb/ldab016 pmid:34405854 fatcat:3tase7fdyjdt3deqz55walxufq

The Impact of Artificial Intelligence on Innovation

Takudzwa Fadziso
2018 Global Disclosure of Economics and Business  
Artificial intelligence has the potential to greatly increase the efficiency of the current life in which we live.  ...  Application of machines' intelligence such as robots from the recent development is a vivid example of invention brought about by the innovation filtered via artificial intelligence.  ...  Even though artificial intelligence is the route to computer science, it is commercially used in narrow fields such as robots.  ... 
doi:10.18034/gdeb.v7i2.515 fatcat:pege3shdxbhqdcpj67ff4idxkq

Artificial intelligence in oncology: Path to implementation

Isaac S Chua, Michal Gaziel-Yablowitz, Zfania T Korach, Kenneth L Kehl, Nathan A Levitan, Yull E Arriaga, Gretchen P Jackson, David W Bates, Michael Hassett
2021 Cancer Medicine  
In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI solutions have been developed to tackle a variety of cancer-related challenges.  ...  Concrete actions that major stakeholders can take to overcome barriers to AI implementation in oncology include training and educating the oncology workforce in AI; standardizing data, model validation  ...  F I G U R E 2 Stage of development and deployment among applications of artificial intelligence in oncology.  ... 
doi:10.1002/cam4.3935 pmid:33960708 pmcid:PMC8209596 fatcat:ktmyt7xt45bidba3cwkip2mkoy

The Impact of Artificial Intelligence on Quality and Safety

Michelle S. Lee, Matthew M. Grabowski, Ghaith Habboub, Thomas E. Mroz
2020 Global Spine Journal  
As exponential expansion of computing capacity converges with unsustainable health care spending, a hopeful opportunity has emerged: the use of artificial intelligence to enhance health care quality and  ...  ; and predict future outcomes on a variety of anchored measures.  ...  via machine learning (ML)/artificial intelligence (AI) approaches to improve quality, reduce waste and error, and minimize cost. 5, 6 Recent developments in the technologies related to healthcare data  ... 
doi:10.1177/2192568219878133 pmid:31934528 pmcid:PMC6947683 fatcat:okyim4kcezamplibcj4l3dxjce

Artificial Intelligence in Radiology-Ethical Considerations

Adrian P Brady, Emanuele Neri
2020 Diagnostics  
Artificial intelligence (AI) is poised to change much about the way we practice radiology in the near future. The power of AI tools has the potential to offer substantial benefit to patients.  ...  Conversely, there are dangers inherent in the deployment of AI in radiology, if this is done without regard to possible ethical risks.  ...  Introduction The advent of artificial intelligence (AI) applications is likely to be one of the most far-reaching developments in the history of medicine, with implications for all medical specialties,  ... 
doi:10.3390/diagnostics10040231 pmid:32316503 pmcid:PMC7235856 fatcat:wmcaxx2n65ddhf36cjidz57nwu

Overview of the Artificial Intelligence Methods and Analysis of Their Application Potential [chapter]

Dalia Kriksciuniene, Virgilijus Sakalauskas
2022 Intelligent Systems Reference Library  
In this chapter we introduce the issue of data mining in healthcare, i.e. how to use the raw clinical data to ensure a systematic approach to health problems, highlight good practices, reveal inefficiencies  ...  Particular attention is paid to the diversity of Machine Learning and Artificial intelligence methods, analytical health data analysis models, its testing and evaluation capabilities.  ...  They are very widely used in economics, finance, meteorology, marketing, industrial process management, and other domains [3, [5] [6] [7] .  ... 
doi:10.1007/978-3-030-79353-1_9 fatcat:3c6ditgfsbfofitka7r7lazdyy
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