Finance Management Applied by machine learning the automatic review of bills

Finance management applied by machine learning the

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new space for its use. Finance Management Applied by machine learning, the automatic review of bills and funds helps decreases the number of mistakes and malformations. Big Data systems enable specialists to establish price plans which take account of patient financial capabilities and their service demands. Batarseh and Latif (2016) notes how big data affects the healthcare system as well. Besides, the scholars
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INFORMATION TECHNOLOGY 18 claim that these mechanisms will improve payment schemes, which patients pay for the quality of medical treatment and help to finance medications and health workers ' expenses. Financial management software can also be a successful way of managing all costs. Medical Research Operations This element relates to modern computational modeling technologies in the production of new drugs. Clinical experiments are carried out using mathematical algorithms and big data methods, and patients are encouraged to check novel pharmaceutical products. The analysis of test results is also an important Big Data use. Customized medicine methods currently rank first in the research and development processes of health care. As stated by Adler-Milstein (2015), doctors can prescribe new and appropriate drugs and new treatment methods by processing vast quantities of genetics. Research and Development methods of detecting disease advances also allow clinicians to identify risks and to predict the progression of different diseases. Innovative Business Models The healthcare benefits of Big Data include models based on digital data that can either improve or even outperform current models. Data aggregators supply processed and assembled blocks of data to third parties. For example, pharmaceutical firms may want to purchase these data from clinical reports of patients who have used the same drug (Parkinson et al., 2015, p. 914) Besides, creative business models can be implemented by online channels and other applications for patients and physicians. Prediction of Mass Outbreaks Big data plays a significant role here, too. Using comprehensive data analysis, scientists may create global public health models and predictive models of success in outbreaks.
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INFORMATION TECHNOLOGY 19 Telemedicine The emergence of smartphones and tablets means telemedicine has a second wind. Telemedicine is now able to deliver medical care directly to patients. The diagnosis and consultation may be essential, and patient safety may also be closely monitored. It is essentially a remote visit to a professional physician. Telemedicine is now used by doctors to arrange and avoid hospitalization and create a patient's specific care plan. Besides , it helps prevent patient safety reductions. Gaudet and Kligler (2019) note that when a clinic is not needed, medical expenses may be reduced, and consultation from anywhere in the world can be held.
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  • Fall '16
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