Blockchain Technology in Healthcare Billing: Enhancing Transparency and Security
Keywords:
Blockchain, Healthcare Billing, Transparency, Smart Contracts, interoperabilityAbstract
This paper explores the potential of blockchain technology to address challenges in healthcare billing by enhancing transparency and security. Traditional healthcare billing processes face issues such as inefficiencies, errors, and vulnerability to fraud. Blockchain, with its decentralized and immutable ledger, offers promising solutions to these challenges. This research examines the fundamental concepts of blockchain, its application in healthcare billing, and the potential benefits and challenges of implementation. The study finds that blockchain can significantly improve claim processing, reduce errors, enhance data security, and increase overall efficiency in healthcare billing systems. However, scalability issues, adoption barriers, and regulatory considerations must be addressed for successful implementation.
References
Accenture. (2017). Blockchain: Securing a New Health Interoperability Experience. Retrieved from https://www.accenture.com/t20170810T083443Z__w__/us-en/_acnmedia/PDF-54/Accenture-Health-Blockchain-POV-Paper.pdf
Black Book Market Research. (2017). Healthcare Blockchain Interest Heats Up: Black Book Survey. Retrieved from https://blackbookmarketresearch.newswire.com/news/healthcare-blockchain-interest-heats-up-black-book-survey-19199965
Casalino, L. P., Nicholson, S., Gans, D. N., Hammons, T., Morra, D., Karrison, T., & Levinson, W. (2016). What does it cost physician practices to interact with health insurance plans? Health Affairs, 28(4), w533-w543.
Change Healthcare. (2017). Blockchain in Healthcare: Opportunities, Challenges, and Applications. Retrieved from https://www.changehealthcare.com/insights/blockchain-in-healthcare
Croman, K., Decker, C., Eyal, I., Gencer, A. E., Juels, A., Kosba, A., ... & Song, D. (2016). On scaling decentralized blockchains. In International Conference on Financial Cryptography and Data Security (pp. 106-125). Springer, Berlin, Heidelberg.
Deloitte. (2016). Blockchain: Opportunities for Health Care. Retrieved from https://www2.deloitte.com/us/en/pages/public-sector/articles/blockchain-opportunities-for-health-care.html
European Union Blockchain Observatory and Forum. (2018). Blockchain for Government and Public Services. Retrieved from https://www.eublockchainforum.eu/reports
Frost & Sullivan. (2017). Blockchain Technology in Global Healthcare, 2017–2025. Retrieved from https://store.frost.com/blockchain-technology-in-global-healthcare-2017-2025.html
Frost & Sullivan. (2018). Artificial Intelligence and Cognitive Computing Systems in Healthcare. Retrieved from https://store.frost.com/artificial-intelligence-and-cognitive-computing-systems-in-healthcare.html
Himmelstein, D. U., Jun, M., Busse, R., Chevreul, K., Geissler, A., Jeurissen, P., ... & Woolhandler, S. (2014). A comparison of hospital administrative costs in eight nations: US costs exceed all others by far. Health Affairs, 33(9), 1586-1594.
HIPAA Journal. (2018). Healthcare Data Breach Statistics. Retrieved from https://www.hipaajournal.com/healthcare-data-breach-statistics/
IBM. (2016). Healthcare rallies for blockchains: Keeping patients at the center. Retrieved from https://www.ibm.com/downloads/cas/BBRQK3WY
Kuo, T. T., Kim, H. E., & Ohno-Machado, L. (2017). Blockchain distributed ledger technologies for biomedical and health care applications. Journal of the American Medical Informatics Association, 24(6), 1211-1220.
MarketsandMarkets. (2017). Blockchain in Healthcare Market by Application, End User & Region - Global Forecast to 2025. Retrieved from https://www.marketsandmarkets.com/Market-Reports/blockchain-healthcare-market-174987653.html
MIT Technology Review. (2017). Business of Blockchain 2017. Retrieved from https://events.technologyreview.com/video/watch/business-of-blockchain-2017/
National Health Care Anti-Fraud Association. (2018). The Challenge of Health Care Fraud. Retrieved from https://www.nhcaa.org/resources/health-care-anti-fraud-resources/the-challenge-of-health-care-fraud/
Office of the National Coordinator for Health Information Technology. (2018). Blockchain and its Emerging Role in Healthcare and Health-related Research. Retrieved from https://www.healthit.gov/sites/default/files/11-74-ablockchainforhealthcare.pdf
PwC Health Research Institute. (2017). Top health industry issues of 2018: A year for resilience amid uncertainty. Retrieved from https://www.pwc.com/us/en/health-industries/top-health-industry-issues.html
World Health Organization. (2018). Digital Health: Resolution WHA71.7. Retrieved from https://apps.who.int/gb/ebwha/pdf_files/WHA71/A71_R7-en.pdf
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017). An overview of blockchain technology: Architecture, consensus, and future trends. In 2017 IEEE International Congress on Big Data (BigData Congress) (pp. 557-564). IEEE.
Kaur, J., Choppadandi, A., Chenchala, P. K., Nakra, V., & Pandian, P. K. G. (2019). AI Applications in Smart Cities: Experiences from Deploying ML Algorithms for Urban Planning and Resource Optimization. Tuijin Jishu/Journal of Propulsion Technology, 40(4), 50-56.
Case Studies on Improving User Interaction and Satisfaction using AI-Enabled Chatbots for Customer Service . (2019). International Journal of Transcontinental Discoveries, ISSN: 3006-628X, 6(1), 29-34. https://internationaljournals.org/index.php/ijtd/article/view/98
Kaur, J., Choppadandi, A., Chenchala, P. K., Nakra, V., & Pandian, P. K. G. (2019). Case Studies on Improving User Interaction and Satisfaction using AI-Enabled Chatbots for Customer Service. International JournalofTranscontinental Discoveries, 6(1), 29-34. https://internationaljournals.org/index.php/ijtd/article/view/98
Choppadandi, A., Kaur, J., Chenchala, P. K., Kanungo, S., & Pandian, P. K. K. G. (2019). AI-Driven Customer Relationship Management in PK Salon Management System. International Journal of Open Publication and Exploration, 7(2), 28-35. https://ijope.com/index.php/home/article/view/128
AI-Driven Customer Relationship Management in PK Salon Management System. (2019). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 7(2), 28-35. https://ijope.com/index.php/home/article/view/128
Big Data Analytics using Machine Learning Techniques on Cloud Platforms. (2019). International Journal of Business Management and Visuals, ISSN: 3006-2705, 2(2), 54-58. https://ijbmv.com/index.php/home/article/view/76
Shah, J., Prasad, N., Narukulla, N., Hajari, V. R., & Paripati, L. (2019). Big Data Analytics using Machine Learning Techniques on Cloud Platforms. International Journal of Business Management and Visuals, 2(2), 54-58. https://ijbmv.com/index.php/home/article/view/76
Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of Pharma Research, 7(5),
Kumar, A. V., Joseph, A. K., Gokul, G. U. M. M. A. D. A. P. U., Alex, M. P., & Naveena, G. (2016). Clinical outcome of calcium, Vitamin D3 and physiotherapy in osteoporotic population in the Nilgiris district. Int J Pharm Pharm Sci, 8, 157-60.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 International Journal for Research Publication and Seminar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.
