This report evaluates the implementation of AI by insurance companies in the healthcare industry and discusses its impact on society.
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2 MORAL DILEMMA ANALYSIS REPORT Table of Contents Introduction..........................................................................................................................3 Discussion............................................................................................................................3 Advantages and limitations..................................................................................................4 Advantages and Limitations of universalized actions of Implementing AI........................6 AI used as mean to end........................................................................................................7 Conclusion...........................................................................................................................8 References..........................................................................................................................10
3 MORAL DILEMMA ANALYSIS REPORT Introduction Healthcare industry has been playing a vital art in the human life. Different organizations have been offering quality healthcare services to the patients. The application of artificial intelligence and machine learning has been helping in many ways for last five years. AI has been in one of the current technology in the world based on digitalization of the healthcare industry. The healthcare industry has been looking for implementing new technologies for providing quality healthcare facilities to patients. The utilization of artificial intelligence in insurance company of health care company have been focused in claiming proper lifestyle and livelihood of human beings (Uberoi, Finegold and Gee 2016). This report has been helping in evaluating implementation of AI by insurance company in healthcare industry. This have been causing several effect on the society. These changes and impact have been discussed in the report. Discussion There have been various claims that have been regarded unusual and need to be prioritized that might help in reducing expected likelihood of interventions. Various systems have been included in the sensitive intervention of decisions for clearing capacity of health care industry. The insurance system used in the healthcare industry has been maintaining a keen approach in the development of organizations in the market.The system used in association of auditors and guidance for approaching forward in intervention for instance by giving them with proper suggestions regarding rejections of claims (Verguet, Kim and Jamison 2016).The early results have been simple and fast in case of management claiming procedure. Ethical decision making framework has been linked with helping in procedure of identifying ethical values in the decision making system. The identification of benefits and harms have been helping in critical
4 MORAL DILEMMA ANALYSIS REPORT analysis of implementation of AI in the insurance company of healthcare industry (Innocent 2019). The healthcare services in the industry has been helping in providing a good example in the society. The implementation of AI in the healthcare industry has been helping human beings in providing healthy lifestyle. There have been different sections created in the healthcare industry for managing various sectors if the heath care organization (Hsing and Ioannidis 2015). The impact the ethical standards and legal policies have been understood in the report. Advantages and limitations The artificial intelligence has been helping in maintaining a keen approach in the development of the healthcare industry. The diversity and efficiency of the insurance company has been changed in meanwhile with the implementation of AI in the industry. HealthCare professionals have been helping in providing a keen approach in the development in the AI in the insurance company. Employees have been showing their potential in their work for impressing the higher management (Bloom et al. 2015). Experienced employees have been capable of increasing knowledge and skills in fast pace. Social involvement such as family gathering and many more would also be reduced hence being responsible for the losing of connection with the general public as well. Clients have been claiming the hard working employees assisting in order to make client satisfy. There have been no evidences that have been existing and working with artificial intelligence for providing rewards and prizes for making employees dedicated for their work. Customer satisfaction has been an important part in the organization (Braun et al. 2018). Therefore, insurance company has been looking for satisfying their clients in the market. Increase in the customer satisfaction level has been helping in maintaining a keen approach in the development of the ethical policies in the organization (Goh et al. 2015). This would help in increasing the satisfaction level of the customers. Experienced employees have been helpful in
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5 MORAL DILEMMA ANALYSIS REPORT increasing the productivity of the insurance company (Le et al. 2019). The project managers have been looking for retaining experienced employees in the company. Experienced employees have been capable of taking work pressure in the insurance company. The impact of artificial intelligence has been helpful in automating things and technology in used in the healthcare industry.The insurance policies has been helping in providing proper health services in the company (Brundage and Bryson 2016). There have been several claims including lack of resting time and lack in social involvement. These have been causing drastic degradation of performance in case of management of time skills have been questioned in employees have been working overtime in absence of artificial intelligence (Voutilainen and Koskinen 2019). This would also be associated with becoming something that would be expected by the management rather than appreciatingthem.Experiencedemployeesarecapableofprovidingmoreworkinthe organization (Mamedov and Mamedova 2019). The use of healthcare professionals have been helping in providing quality healthcare services in the insurance company. The AI would be associated with making the processing of the claims easier along with validating them. The ACS codes of Ethics have been associated with helping in the identification of the most important stakeholder group which is the client of the organization or the insurance claimers. The clients receive their claims in time because of the hard working employees assisted by the making the clients happy (Balasubramanian, Libarikian and McElhaney 2018). However no such evidences exists which show that working with the AI is disadvantageous for the public. But the employees working with the AI in a proper way would be provided with rewards which would make the employees more dedicated towards their work. This in turn would be increasing the customer satisfaction. Besides this the demand in the insurance industry would also be increasing because of the plus points which would be gaining more number of employees towards the industry.
6 MORAL DILEMMA ANALYSIS REPORT Considering the long term, there would be increase in productivity which in turn would be responsible for the success of the company (O'sullivan et al. 2019). Besides this system failure would be responsible for harming the clients.The productivity of well-rested and happy employees is seen to more that the dissatisfied employees(Pesapane et al. 2018). The reason behind this working without the AI makes them tired initially work a lot making them not capable of focusing upon the work. This initially makes the company face a need of appointing an extra team so as to distribute the workload. Advantages and Limitations of universalized actions of Implementing AI The overall employees of insurance company have been working for implementing AI in the healthcare services provided to the patients.The use of AI in healthcare industry has been helping providing better opportunities for patients in the market. The ethical dilemma have been incorporated in the decisions made by the higher officials of insurance company (Berendt, Büchler and Rockwell 2015). Healthcare officials have been facing difficulties in making proper decisions on ethical background of insurance company. The purpose of ethical framework has been guiding healthcare providers in order to make ethical issues prediction in healthcare services. The framework has been used as guide for decision-making process about ethical issues (Vayena, Blasimme and Cohen 2018). The framework has been addressing two types of general decision that is based on clinical and organizational. Insurance company has been focused on developing roper ethical dilemmas in proper areas. The reporting management system has been helping in providing smart approach in the implementation of artificial intelligence in the insurance company (Iyengar, Kundu and Pallis 2018). The artificial intelligence have been focused on providing an automated process in providing insurance to patients in the healthcare
7 MORAL DILEMMA ANALYSIS REPORT sector. Ethical decision making framework has been linked with helping in procedure of identifying ethical values in the decision making system. Competition in the industry have been increasing work pressure of employees in the insurance company (Jaremko et al. 2019). Management of employees might get complex incase artificial intelligence is universalized. Track of the employees would be lost and this would be leaving the employees non-rewarded. Employees have been working overtime for satisfying clients in the insurance companies.This have been a violation of ethical dilemma. The working hours of the employees need not to be increased in the insurance company. This ethical dilemma in the insurance company need to be changed according the capability of decision making model (Martinez-Martin et al. 2018). Social involvement in the insurance company need to be analysed in order to maintain a keen approach in the development if the decision making skills of management level. The implementation of artificial intelligence in the healthcare insurance company has been providing a proper healthcare services to patients. The ethical framework has been facing issues regarding the decision making systems. The early results have been simple and fast in case of management claiming procedure (Alabi et al. 2017). The identification of benefits and harms have been helping in critical analysis of implementation of AI in the insurance company of healthcare industry. Data and information included in the insurance policy process need to be secured and kept private from others. Data and information of client need to kept safe and secure with the help of Data Protection Act 1998 (Bauer et al. 2017). This have been helping in maintaining a keen approach in the development of several ethical dilemma. The ethical consideration of the insurance policy need to be authentic regarding the healthcare services provided to the patients. Any violations in the insurance policy need to be maintained properly.
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8 MORAL DILEMMA ANALYSIS REPORT AI used as mean to end Implementing AI does not go against the organization’s right and the cause of this is the action but it can certainly violate the rights of the staffs, customers and the public as a whole. The violation of the right to speech is linked with the action. AI was introduced even after the privacy challenges it implicated. This specific action would violate the rights reserved for the clients of the organization quiet similar to the case when the clients opt for insurance in any firm. The insurance value is not sufficient for the client. The social relationships cannot be developed in this case because using AI in the work place may affect the interpersonal behavior (Alabi et al. 2017). The industry will argue rights associated to freedom of speech but it is not considered as an absolute right and applies to the individual alone. The organization seems to reserve more power compared to the clients and employees to the specific actions and they also have the power to uphold any right as per their wish. The firm is one amongst those who make reports on health conditions. They are also associated taking decisions avoiding violation of the public rights (Alabi et al. 2017). AI can make the process easy and some set rules and regulations should be set by the organization in order to safeguard the privacy of the employees and the clients. Conclusion Usage of AI favours the process of the insurance company. There are many situations where usage of AI has disrupting results. AI helps in managing the claims of the insurance policy of the customers and verifying the same. The clients are identified as the important stakeholders in this case according to the ACS code of ethics. The insurance company should give the utmost priority to their client’s benefit rather than considering their revenue only. In this case, using AI may lead to many faulty decisions in the customer’s claims and the
9 MORAL DILEMMA ANALYSIS REPORT outcome of such faults may be disastrous. It can be concluded that using AI in the health insurance sector to inculcate automation techniques is not moral and the company requires reviewing the ethical issues while making these types of decisions. As AI poses a threat to the privacy of the customers and the employees of the organization hence before taking any such decisions or implementing them, the consent of the employees and the customers must be taken or at least they should be informed of the new changes that are going to be implemented.
10 MORAL DILEMMA ANALYSIS REPORT References Alabi, A.N., Onuoha, F.M., Madaki, A.J., Nwajei, A.I., Uwakwem, A.C. and Alabi, K.M.,. Enrolees Perception of the Merits and Demerits of National Health Insurance Scheme in a Nigerian Tertiary Health Facility (2017). Balasubramanian, R., Libarikian, A. and McElhaney, D., 2018. Insurance 2030—The impact of AI on the future of insurance.McKinsey & Company, New York, NY, USA, Apr. Bauer, M., Glenn, T., Monteith,S., Bauer, R., Whybrow, P.C. and Geddes, J.,. Ethical perspectives on recommending digital technology for patients with mental illness.International journal of bipolar disorders,5(1), (2017), p.6. Berendt, B., Büchler, M. and Rockwell, G.,. Is it research or is it spying? Thinking-through ethics in Big Data AI and other knowledge sciences.KI-Künstliche Intelligenz,29(2), (2015), pp.223-232. Bloom, D.E., Chatterji, S., Kowal, P., Lloyd-Sherlock, P., McKee, M., Rechel, B., Rosenberg, L. and Smith, J.P., 2015. Macroeconomic implications of population ageing and selected policy responses.The Lancet,385(9968), pp.649-657. Braun, A., Cohen, L., Malloy, C.J. and Xu, J., 2018. Saving Face: A Solution to the Hidden Crisis for Life Insurance Policyholders. Brundage,M.andBryson,J.,SmartPoliciesforArtificialIntelligence.arXivpreprint arXiv:1608.08196 (2016). Goh, J., Pfeffer, J., Zenios, S.A. and Rajpal, S., 2015. Workplace stressors & health outcomes: Health policy for the workplace.Behavioral Science & Policy,1(1), pp.43-52. Hsing, A.W. and Ioannidis, J.P., 2015. Nationwide population science: lessons from the Taiwan national health insurance research database.JAMA internal medicine,175(9), pp.1527-1529.
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11 MORAL DILEMMA ANALYSIS REPORT Innocent, O., 2019. Enrollees Assessment of Health Maintenance Organizations (HMOS) in the ImplementationofNationalHealthInsuranceScheme(NHIS)inAbuja, Nigeria.Development,9(1). Iyengar, A., Kundu, A. and Pallis, G.,. Healthcare Informatics and Privacy.IEEE Internet Computing,22(2), (2018), pp.29-31. Jaremko, J.L., Azar, M., Bromwich, R., Lum, A., Cheong, L.H.A., Gibert, M., Laviolette, F., Gray, B., Reinhold, C., Cicero, M. and Chong, J.,. Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology.Canadian Association of Radiologists Journal( 2019). Le, N., Groot, W., Tomini, S.M. and Tomini, F., 2019. Effects of health insurance on labour supply: A systematic review.International Journal of Manpower. Mamedov,Z.F.andMamedova,S.K.,2019.FEATURESANDTRENDSINTHE DEVELOPMENTOFTHEPRIVATEHEALTHFINANCING.EconomicandSocial Development: Book of Proceedings, pp.1508-1516. Martinez-Martin, N., Insel, T.R., Dagum, P., Greely, H.T. and Cho, M.K.,. Data mining for health: staking out the ethical territory of digital phenotyping.npj Digital Medicine,1(1), p.68 ( 2018). O'sullivan, S., Nevejans, N., Allen, C., Blyth, A., Leonard, S., Pagallo, U., Holzinger, K., Holzinger, A., Sajid, M.I. and Ashrafian, H.,. Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery.The International Journal of Medical Robotics and Computer Assisted Surgery,15(1), p.e1968 (2019).
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