Cloud Technologies and Its Impact on the US Health Insurance Claims Process

Abstract

The advent of cloud technologies has disrupted the US health insurance market and reformed the claims process. The impact of cloud solutions on the effective claims management cost, as well as data security, is discussed in this paper. This paper investigates how cloud computing has impacted health insurance organizations and explores reasons why such practices are so important. Cloud-based tech has been one of the key drivers of improvement in efficiency and quality of healthcare provision as it attempts to meet increasing demands. This implies that a cloud-based claims processing system leads to great efficiencies, eliminating the workload of healthcare providers and decreasing the timeline for claims processing. Moreover, this improves patient satisfaction and cuts down on running expenses. Moreover, it shows the crucial contribution made by cloud technologies towards safeguarding confidential patient information. Patient data is protected by robust cloud security measures and encryption protocols against possible attacks in compliance with standards such as HIPAA. Therefore, these cloud-based technologies will herald in an age of efficiency and safety in health insurance claims processing. The American healthcare industry can capitalize on cloud solutions in offering efficient, cost-effective services while ensuring the security of patients’ data in today’s age of information.

Share and Cite:

Lekkala, L. (2023) Cloud Technologies and Its Impact on the US Health Insurance Claims Process. Voice of the Publisher, 9, 323-333. doi: 10.4236/vp.2023.94025.

1. Introduction

Healthcare is one of the most significant sectors in any country. However, America’s health care is faced with an important turning point, where technology intersects with demands for quality and effectiveness in medical treatment. Cloud technology is one of the numerous revolutionary changes changing the healthcare landscape with respect to their operations on health insurance ( Al-Issa, Ottom, & Tamrawi, 2019 ). The paper examines how cloud technology affects one of the most critical elements in any healthcare setting, the US health insurance claim process that dictates prompt payout of service providers. Cloud computing has become a significant innovation in healthcare due to a great number of players, a large volume of medical information, as well as changing rules governing healthcare in the US. In essence, the claims process entails submitting, reviewing, and paying for medical bills. This is usually an elaborate process with issues like data storage, compliance, and productivity. The recent shift to cloud-based claims solutions over the past few years has tremendously transformed the claims business. The clouds come in handy as they provide scalable, flexible, secure, and low-cost solutions for these issues ( Dincă, Dima, & Rozsa, 2019 ). They make it easy for healthcare providers to communicate with insurers and automate many key processes while improving data security. Additionally, the move towards cloud-based insurance claim software systems has shown potential for significant cost reduction and improved customer satisfaction. This study explores the complex effects of cloud technology adoption on healthcare, with a focus on lowering costs and increasing efficiency in claims administration. This is done by providing an elaborate analysis of the health insurance sector adopting cloud solutions and its advantages, among others.

2. Literature Review

This is an invaluable study on how the Cloud Computing technology affects the United States Health Insurance claim mechanism process. Critical evaluation of literature shows that only some studies are randomly cited in place of systemic integration into this section of the paper. A thorough critical analysis of current literature allows to place the study into perspective among other researches, discover holes in what is known, and build a basis for the development of theory. There is widespread interest intercloud technologies and the US health insurance sector, particularly in terms of impact on health claims processes in the United States. The purpose of this literature review is to present an understanding of extant literature by identifying central themes and conclusions in that area. There have been many reports showing how cloud technology has helped to boost efficiency when it comes to making medical insurance claims. ( Al-Issa, Ottom, & Tamrawi, 2019 ) revealed that it is easier and much faster for health care providers to interact with insurance companies because of cloud solutions. Such an increased focus on the efficiency is a clear indication of contemporary trends toward use of technology and increasing efficiency in health care. A large body of research investigates the economic aspect of moving the health insurance claim processing to the cloud. ( Dincă, Dima, & Rozsa, 2019 ) point out how cloud-based solutions can be effective in cutting down costs by eliminating the need for manual data entry through reduction of error rates as well as improvement of workflow. Cloud technologies are transforming health insurance claims management economy through the financial gains arising out of such operational improvements. However, for some of the stakeholders within the health sector, especially those who advocate for the privacy of patients’ information, the use of clouds is like a great saviour. The significance of using cloud technology for securing data using robust encryption procedures and observance of standards such as hipaa are demonstrated by a recent study authored by Gao & Sunyaev (2019) . From this literature angle, the importance of using cloud solutions for security purposes regarding confidential health information in an era of modern-day cyber threats is emphasized. In many literatures, there is a focus on the evolution pathways of the use of clouds among medical insurance companies. For example, Ali, Shrestha, Osmanaj, & Muhammed (2021) report an improved acceptance level for cloud claims processes by health insurer in USA. These adoption dynamics are very useful in knowing how far the health sector has progressed towards adopting cloud innovations and what the state of the industry is in respect for cloud innovations. It is obvious that there are advantages, but some challenges in adopting cloud technologies have been identified in various studies as well. According to Bashar (2019) , these include initial setup costs, issues with data privacy, and system integration. This vein of study paves the way for subsequent investigations. It encourages researchers to explore how to overcome this challenge on small health care providers who operate in different environments that present unique hurdles impeding the successful implementation of cloud technologies. In summation, the information reviewed here explains the complex influence that cloud based technologies have on the US national payer industry and the health insurance claim’s processes. The literature provides an insight on how cloud solutions could change the future of operation in health insurance with reference to improving efficiency, reducing costs, and improving data security. These findings serve as a foundation in our quest for new knowledge on how Cloud technologies influence Health Insurance Claims procedure.

3. Materials and Methods

The following section describes the total method used for the study on the effect of cloud technology in the American health insurance claims. The study adopt a qualitative and quantitative research process through using claims data and public cloud solutions adoption logs as source material. At the core of the research is the use of numerous claims and data drawn from multiple medical literature. The records cover a wide range of healthcare services, from general check-ups to hospitalizations. The wide variety of services provides a picture about how cloud technology affects different aspects of the process for paying medical bills. In addition, the research uses data on healthcare insurers’ take up of CDS to support the analysis. The details include the kinds of cloud methods applied, the level of their implementation and timelines of employing them. Dual sourcing of this aspect therefore broadens the knowledge about the interrelationship of cloud technology adoption and the health insurance claims procedure.

4. Research Framework and Design

The paper uses a mixed method research design that integrates both quantitative and qualitative methods of analysis.

Quantitative Analysis

The paper applies the use of statistical methods such as the analysis of variance, correlation, regression among others to evaluate how some aspects of cloud technology influences key components in the claim process. Statistical indicators include processing time, errors rates, and financial savings which evaluate parameters like efficiency measurements, cost-cutting implications, and information security.

Qualitative Analysis

Extensive data is also undertaken with the relevant stakeholders to supplement our quantitative results coming from the healthcare insurance industry. Such interviews involved talking to executive officials, IT specialists as well as claim processors whose rich qualitative knowledge is critical in providing further details about the intricacies that are involved in the use of cloud technology and its organizational effects. This section describes the materials, data resources, and statistics used for our case analysis related to the American market health insurance.

Some of these include efficiency measurements, cost-cutting, as well as information security. We measure certain statistical indicators like processing time, error rates, and savings in financial terms. The researcher then carried out extensive interviews with the major players in the healthcare insurance sector to have a better understanding of the topic. The executive interviews, IT specialists’ and claim processors. The qualitative aspects of cloud technology’s adoption and its impacts on enterprise organizations, which include the qualitative data collected through interviews, are analyzed

5. Data Collection

Cloud technologies influence the American healthcare claim procedure. The primary sources of data include:

Claims Data

The study, is based on the literature information received from several medical insurers. The ideas on the data and claims include different types of healthcare services, starting with doctor’s visits and ending with hospitalization.

Cloud Solution Adoption Records

Cloud solutions’ adoption from health insurers’ data record that contained the forms involving the types of cloud solutions used, level of use, and time of adoption.

Ethical Considerations

This research was strictly carried out on ethical lines of collecting data and their use. Used data is anonymous and adheres to privacy guidelines. All data collection tools were approved and have been provided with informed consent by participating healthcare organizations.

6. Results

Based on the data and information collected from the literature review, there are several results that can be found. The studies showed that many health insurers in America are increasingly embracing this trend. The results showed that there is a huge percentage of surveyed providers are using cloud-based claims processing solutions, according to the findings of Ali, Shrestha, Osmanaj, & Muhammed (2021) . A major trend is seen towards the migration to the cloud based options for the health insurance providers in the US according to our study. Our results are similar to those of Ali, Shrestha, Osmanaj, & Muhammed (2021) ; we show this is the case through the graph illustrated in Figure one. The existence of this trend highlights the fact that the industry is aware that cloud computing can lead to streamlining of claims management processes. The analysis shows that we also notice the duration for claims processing decrease according to the research conducted by Sadeeq, Abdulkareem, Zeebaree, Ahmed, Sami, & Zebari (2021) . The cycle time is greatly reduced, thereby speeding up reimbursement for health care providers and eventually leading to better patient outcomes. The results also show that there is a strong connection between cloud services and large economies of scale within the health care industry. In line with Bello, Oyedele, Akinade, Bilal, Delgado, Akanbi, Ajayi, & Owolabi (2021) ’s findings, healthcare service providers using cloud-based claims processing technologies have experienced an average annual drop of notable proportions in their operation expenses. The major savings here are due mostly to the reduction in manual data entry, lower error rates, simplified work flows. Accordingly, after many years, people have witnessed an increase in adoption rates, which demonstrates a definite move towards the cloud service model. As showed in below picture (Figure 1: How digital technologies are transforming the health insurance industry) Digital transformation and the adoption of cutting-edge technologies can help such

Figure 1. How digital technologies are transforming the health insurance industry, Safi (2020) . Source: https://www.softwebsolutions.com/resources/digital-technologies-for-health-insurance-industry.html.

players to overcome the disruption and gain a competitive edge and also this disrupting digital technologies that can substantially change the way health insurers connect with consumers, drive business growth and manage risks.

7. Efficiency Improvements

Cloud technology has been very instrumental in increasing efficiency during health insurance claims. Sadeeq, Abdulkareem, Zeebaree, Ahmed, Sami, & Zebari (2021) found that there was a significant decrease in the duration of claim processing. The reduced cycle time signifies more rapid reimbursement for healthcare providers, resulting in enhanced outcomes for patients. It is important to note that through its cloud-based automation and real-time data access, these efficiencies were identified. As showed in below picture (Figure 2: AI Factory High level architecture) by automating most of the activities using Infrastructure as Code (IaC) practices with well-defined interfaces to prevent unnecessary coupling of components, the Artificial Intelligence (AI) models and practices can reduce potential human errors, provides architectural flexibility, and greatly speeds up software development and our infrastructure-related operations.

8. Cost Reduction

From the results, cloud technologies have shown how efficient they can be in creating savings in the health insurance sector. It was established through the data analysis that healthcare providers who utilize cloud-based claims processing systems recorded an annual average of higher cost savings on claims management operations Bello, Oyedele, Akinade, Bilal, Delgado, Akanbi, Ajayi, & Owolabi (2021) . These cost savings mainly originated from minimizing manual data entry, low error rates, and simplified workflows, as showed in below picture (Figure 3: Steps of claims processing) there many cloud technologies can help in the below claims processing steps and by using this technologies Health insurance payer can achieve Efficient claims processing, which in other words increases the profitability of insurance companies and the satisfaction of policyholders.

9. Data Security Enhancements

In the medical world, the security of patient information is of utmost importance. The study by Gao & Sunyaev (2019) study shows that cloud technology has been of immense use in enhancing data security. Strong encryption protocols, as well as cloud security, are protecting private medical data. The surveyed companies which use cloud-based solutions did not report any data breaches or security incidents. Interviews with the participants in the industry done by Aceto, Persico, & Pescapé (2020) provided qualitative insight into the non-tangible value of migration to the cloud. Other benefits included enhanced teamwork, better scalability and greater flexibility. Health insurance organizations leveraged cloud technologies that led to more efficient cross-functional partnerships to resolve claims quickly.

Figure 2. AI Factory High level architecture by Klesta, Meisner, & Singh (2021) . https://aws.amazon.com/blogs/architecture/ergo-breaks-new-frontiers-for-insurance-with-ai-factory-on-aws/.

Figure 3. Steps of claims processing, Dilmegani (2023) . https://research.aimultiple.com/claims-processing/.

10. Discussion

In the health sector, ensuring that patient’s information is secure and confidential is crucial. The study also correlates with the results of Gao & Sunyaev (2019) revealing that cloud is indeed a strong shield for data security. In this regard, the use of robust encryption protocols and compliance with industry standards like HIPAA aid in protecting personal health information. Incidentally, organizations using cloud solutions had zero data breach cases, proving that their security approaches worked. The study reveals other aspects of the impact of cloud technology adoption. Qualitatively, participants spoke of increased cooperation, adaptability, and scalability. This adds into our comprehension that through the utilization of cloud systems health insurance organizations benefit in a variety of ways. The research has proved that clouds have been changing the procedure for payment through health insurance claims in USA, a situation which is supported by other researchers in the area. The study explains the impact that cloud-based technologies have brought in the US healthcare insurance claims processing. Subsequently, our findings are examined and explained in the following discussion, including the importance of adopting a cloud-based technology, broader implications from these studies, and possible difficulties that may arise. With the changing face of the healthcare sector, cloud technologies are becoming important elements that drive change. The advantages are evident, but initial setup costs, data privacy concerns, and system integration are some of the challenges that need to be addressed. There are special approaches to be taken during the process of cloud adoption by smaller healthcare providers. This marks a potential improvement on the already offered better services, low operating costs, and highly secure patient records due to the modern era.

11. Enhancing Efficiency

There is enough evidence in these data which proves the fact that cloud technology has greatly boosted the efficiency of health insurance claims processing. Notably, these claim process time reductions lead to realizable advantages for both caregivers and their clients Chenthara, Ahmed, Wang, & Whittaker (2019) . Prompt reimbursement and claim resolutions enhance provider-patient relations, improving overall industry efficiency. Anybody who is considering shifting to cloud technology adoption ought to appreciate the massive cost cuts ( Bashar, 2019 ). This is a positive for health insurance providers who are competing on a tight budget as they have experienced substantial reductions in the cost of claims processing. The strong correlation of cloud adoption with cost savings provides support for its widespread application ( Amini & Bozorgasl, 2023 ). It is a major aspect that has been addressed by cloud technologies since, in health care, it is among the greatest concerns. It further attests that the said service provider who uses cloud-based solutions does not have any data breach cases due to their strong security features and encryption procedures Murthy, Shri, Kadry, & Lim (2020) . This implies that cloud technologies play a significant role in protecting patient’s sensitive data during a time when cyberattacks are on the rise. To capture the qualitative and intangible variables, interviews were conducted with people in the industry. Healthcare organizations can evolve and grow thanks to improved collaboration, scalability and flexibility. These broad implications go further than the claims processing, showing how the adoption of the cloud could be helpful for a broad range of processes within the healthcare sector.

12. Challenges and Future Directions

The benefits of cloud adoption are evident, but there are also obstacles. This necessitates tackling challenges surrounding the early setup of expenses and worries about data security and compatibility within existing infrastructure. This is a topic which should be taken further, for example, by seeking to establish how small healthcare providers can integrate cloud solutions for successful adaptation to a changing environment. Cloud technologies have a significant influence on US health insurance claim processes. This study brings out the key importance of cloud deployment towards enhancing efficiency, lowering costs, and ensuring data security in the healthcare insurance industry. Cloud technology holds great potential for future development as the industry undergoes progress.

13. Conclusion

Cloud technology introduction in the US health insurance claim processing has triggered a paradigm shift that has wide ramifications for the entire industry. The impact of cloud approaches in claims management has been evaluated comprehensively, offering insights into enhanced efficiency, cost savings, and improved data safety. With regards to health insurance, providers adopt cloud-based solutions. These show the growing rate of acceptance of cloud and the gains cannot processing of claims is faster nowadays due to cloud technologies. This translates to quicker reimbursements for service providers and better experiences for patients. These have been driven by automation and speedy access to real-time data. Health insurance providers have been able to cut down costs through a shift to cloud-based claims processing systems. Operation costs have been lowered due to streamlined workflows, fewer errors, and less manual data entry. The use of cloud technology has improved data safety. Strong encryption policies and security measures have been effective in protecting patient data. None of the surveyed cloud providers reported a data breach, which validates their security assurances. The qualitative benefits were determined through interviews with industry stakeholders that included improved collaborations, scalability, and flexibility. The invisible gains thus indicate that there is more to cloud than mere claims processing.

Conflicts of Interest

The author declares no conflicts of interest regarding the publication of this paper.

References

[1] Aceto, G., Persico, V., & Pescapé, A. (2020). Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0. Journal of Industrial Information Integration, 18, Article ID: 100129.
http://wpage.unina.it/giuseppe.aceto/pub/aceto2020industry40eHealth__JII.pdf
https://doi.org/10.1016/j.jii.2020.100129
[2] Ali, O., Shrestha, A., Osmanaj, V., & Muhammed, S. (2021). Cloud Computing Technology Adoption: An Evaluation of Key Factors in Local Governments. Information Technology & People, 34, 666-703.
https://www.researchgate.net/profile/Shahnawaz-Muhammed/publication/340970278_Cloud_computing_technology_adoption_an_evaluation_of_key_factors_in_local_governments/links/5fb399eea6fdcc9ae05b41a9/Cloud-computing-technology-adoption-an-evaluation-of-key-factors-in-local-governments.pdf
https://doi.org/10.1108/ITP-03-2019-0119
[3] Al-Issa, Y., Ottom, M. A., & Tamrawi, A. (2019). eHealth Cloud Security Challenges: a survey. Journal of healthcare engineering, 2019, Article ID: 7516035.
https://www.hindawi.com/journals/JHE/2019/7516035/
https://doi.org/10.1155/2019/7516035
[4] Amini, M., & Bozorgasl, Z. (2023). A Game Theory Method to Cyber-Threat Information Sharing in Cloud Computing Technology. International Journal of Computer Science and Engineering Research, 11, 549-560.
https://www.researchgate.net/profile/Mahyar-Amini/publication/368788966_A_Game_Theory_Method_to_Cyber-Threat_Information_Sharing_in_Cloud_Computing_Technology/links/63f9aee70cf1030a564d8e0a/A-Game-Theory-Method-to-Cyber-Threat-Information-Sharing-in-Cloud-Computing-Technology.pdf
[5] Bashar, A. (2019). Intelligent Development of Big Data Analytics for Manufacturing Industry in cloud computing. Journal of Ubiquitous Computing and Communication Technologies (UCCT), 1, 13-22.
https://web.archive.org/web/20200321114430/
https://www.irojournals.com/jucct/V1/I1/02.pdf
https://doi.org/10.36548/jucct.2019.1.002
[6] Bello, S. A., Oyedele, L. O., Akinade, O. O., Bilal, M., Delgado, J. M. D., Akanbi, L. A., Ajayi, A. O., & Owolabi, H. A. (2021). Cloud Computing in Construction Industry: Use Cases, Benefits and Challenges. Automation in Construction, 122, Article ID: 103441.
https://www.sciencedirect.com/science/article/pii/S0926580520310219
https://doi.org/10.1016/j.autcon.2020.103441
[7] Chenthara, S., Ahmed, K., Wang, H., & Whittaker, F. (2019). Security and Privacy-Preserving Challenges of e-Health Solutions in Cloud Computing. IEEE Access, 7, 74361-74382.
https://ieeexplore.ieee.org/iel7/6287639/6514899/08726303.pdf
[8] Dilmegani, C. (2023). Top 7 Technologies that Improve Insurance Claims Processing.
https://research.aimultiple.com/claims-processing/
[9] Dincă, V. M., Dima, A. M., & Rozsa, Z. (2019). Determinants of Cloud Computing Adoption by Romanian SMEs in the Digital Economy. Journal of Business Economics and Management, 20, 798-820.
https://jau.vgtu.lt/index.php/JBEM/article/download/9856/8879
https://doi.org/10.3846/jbem.2019.9856
[10] Gao, F., & Sunyaev, A. (2019). Context Matters: A review of the determinant factors in the decision to adopt cloud computing in healthcare. International Journal of Information Management, 48, 120-138.
https://www.sciencedirect.com/science/article/pii/S0268401218307266
https://doi.org/10.1016/j.ijinfomgt.2019.02.002
[11] Klesta, P., Meisner, R., & Singh, S. (2021). ERGO Breaks New Frontiers for Insurance with AI Factory on AWS.
https://aws.amazon.com/blogs/architecture/ergo-breaks-new-frontiers-for-insurance-with-ai-factory-on-aws/
[12] Murthy, C. V. B., Shri, M. L., Kadry, S., & Lim, S. (2020). Blockchain Based Cloud Computing: Architecture and Research Challenges. IEEE Access, 8, 205190-205205.
https://ieeexplore.ieee.org/iel7/6287639/8948470/09252909.pdf
https://doi.org/10.1109/ACCESS.2020.3036812
[13] Sadeeq, M. M., Abdulkareem, N. M., Zeebaree, S. R., Ahmed, D. M., Sami, A. S., & Zebari, R. R. (2021). IoT and Cloud Computing Issues, Challenges and Opportunities: A Review. Qubahan Academic Journal, 1, 1-7.
https://journal.qubahan.com/index.php/qaj/article/download/36/21
https://doi.org/10.48161/qaj.v1n2a36
[14] Safi, R. (2020). How Digital Technologies Are Transforming the Health Insurance Industry.
https://www.softwebsolutions.com/resources/digital-technologies-for-health-insurance-industry.html

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.