Articles
| Open Access |
DOI: Optimizing Revenue Cycle Management in Healthcare: AI and IT Solutions for Business Process Automation
Abdullah al mamun , Department of Business Analytics, St. Francis College, Brooklyn, New York, USA Muhammad Saqib Jalil , Management and Information Technology, St. Francis College, Brooklyn, New York, USA Mohammad Tonmoy Jubaear Mehedy , Department of Information Technology, Washington University of Science and Technology (wust), Eisenhower Ave, Alexandria VA 22314, USA Maham Saeed , Master of science in management Healthcare, St. Francis College, Brooklyn, New York, USA Esrat Zahan Snigdha , Master of Science in Management Healthcare, Washington University of Science and Technology (wust), Eisenhower Ave, Alexandria VA 22314, USA MD Nadil khan , Department of Information Technology, Washington University of Science and Technology (wust), Eisenhower Ave, Alexandria VA 22314, USA Nahid Khan , East West University, Dhaka, BangladeshAbstract
Revenue Cycle Management (RCM) stands as an essential healthcare financial element since it manages efficient claim handling combined with payment receipt processes that optimize organizational profits. The conventional RCM operational model suffers from multiple difficulties including inefficiencies, administrative burdens and regular billing mistakes that eventually generate revenue loss and operational delays. This paper investigates the potential of IT and AI solutions to transform RCM operations by streamlining procedures and boosting financial projection quality as well as improving claim verification. The research bases its analysis on real-life implementations of artificial intelligence-based billing automation in addition to robotic process automation (RPA) and predictive analytics solutions in healthcare finance domain. An AI-driven automated system decreases denials processing and speeds up payment times while improving financial performance which enhances healthcare service efficiency. The implementation of blockchain technology as an information technology solution improves both security and interoperability within healthcare financial systems. The ongoing challenges for healthcare organizations include the cost of implementation along with workforce transitioning issues and privacy-related difficulties with data. The research findings demonstrate why healthcare organizations need to implement strategic AI and IT solutions for improving their Revenue Cycle Management systems. Research should focus on how AI systems connect with value-based healthcare approaches for maximum financial performance improvement.
Keywords
AI in Healthcare, Revenue Cycle Management, Business Process Automation, IT Solutions, Healthcare Finance
References
Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56.
Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present, and future. Stroke Vasc Neurol. 2017;2(4):230-243.
McGhin T, Choo KKR, Liu CZ, et al. Blockchain in healthcare applications: research challenges and opportunities. J Netw Comput Appl. 2019;135:62-75.
Raghupathi W, Raghupathi V. Big data analytics in healthcare: promise and potential. Health Inf Sci Syst. 2014;2:3.
Shickel B, Tighe PJ, Bihorac A, et al. Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis. IEEE J Biomed Health Inform. 2018;22(5):1589-1604.
Kuo TT, Kim HE, Ohno-Machado L. Blockchain distributed ledger technologies for biomedical and health care applications. J Am Med Inform Assoc. 2017;24(6):1211-1220.
Bates DW, Saria S, Ohno-Machado L, et al. Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff (Millwood). 2014;33(7):1123-1131.
Obermeyer Z, Emanuel EJ. Predicting the future—big data, machine learning, and clinical medicine. N Engl J Med. 2016;375(13):1216-1219.
Wang Y, Kung L, Byrd TA. Big data analytics: understanding its capabilities and potential benefits for healthcare organizations. Technol Forecast Soc Change. 2018;126:3-13.
Agrawal R, Prabakaran S. Big data in digital healthcare: lessons learnt and recommendations for general practice. Heredity (Edinb). 2020;124(4):525-534.
Esteva A, Robicquet A, Ramsundar B, et al. A guide to deep learning in healthcare. Nat Med. 2019;25(1):24-29.
Miotto R, Wang F, Wang S, et al. Deep learning for healthcare: review, opportunities, and challenges. Brief Bioinform. 2018;19(6):1236-1246.
Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng. 2018;2(10):719-731.
Rajkomar A, Dean J, Kohane I. Machine learning in medicine. N Engl J Med. 2019;380(14):1347-1358.
Beam AL, Kohane IS. Big data and machine learning in health care. JAMA. 2018;319(13):1317-1318.
Reddy S, Fox J, Purohit MP. Artificial intelligence-enabled healthcare delivery. J R Soc Med. 2019;112(1):22-28.
Saria S, Butte A, Sheikh A. Better medicine through machine learning: what’s real, and what’s artificial? PLoS Med. 2018;15(12):e1002721 .
Panch T, Mattie H, Celi LA. The “inconvenient truth” about AI in healthcare. NPJ Digit Med. 2019;2:77.
Amisha, Malik P, Pathania M, et al. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8(7):2328-2331.
Bohr A, Memarzadeh K. The rise of artificial intelligence in healthcare applications. Artif Intell Healthc. 2020;25-60.
Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019;6(2):94-98.
Hashimoto DA, Rosman G, Rus D, et al. Artificial intelligence in surgery: promises and perils. Ann Surg. 2018;268(1):70-76.
Lee D, Yoon SN. Application of artificial intelligence-based technologies in the healthcare industry: opportunities and challenges. Int J Environ Res Public Health. 2021;18(1):271.
Wiens J, Shenoy ES. Machine learning for healthcare: on the verge of a major shift in healthcare epidemiology. Clin Infect Dis. 2018;66(1):149-153.
Shickel B, Loftus TJ, Adhikari L, et al. Deep learning in healthcare: a comprehensive review of methods, applications, and challenges. J Biomed Inform. 2021;117:103746.
Chen M, Hao Y, Hwang K, et al. Disease prediction by machine learning over big data from healthcare communities. IEEE Access. 2017;5:8869-8879.
Li J, Huang KY, Jin J, et al. A survey on statistical methods for health care fraud detection. Healthc Inform Res. 2018;24(4):253-261.
Zhang X, Liu S, Chen X, et al. Health information privacy concerns, antecedents, and information disclosure intention in online health communities. Inform Manag. 2018;55(4):482-493.
Zhang Y, Qiu M, Tsai CW, et al. Health-CPS: healthcare cyber-physical system assisted by cloud and big data. IEEE Syst J. 2017;11(1):88-95.
Zhang P, White J, Schmidt DC, et al. FHIRChain: applying blockchain to securely and scalably share clinical data. Comput Struct Biotechnol J. 2018;16:267-278.
Azaria A, Ekblaw A, Vieira T, et al. MedRec: using blockchain for medical data access and permission management. 2016 2nd International Conference on Open and Big Data (OBD). 2016;25-30.
Kuo TT, Ohno-Machado L. ModelChain: decentralized privacy-preserving healthcare predictive modeling framework on private blockchain networks. arXiv preprint arXiv:1802.01746. 2018.
Griggs KN, Ossipova O, Kohlios CP, et al. Healthcare blockchain system using smart contracts for secure automated remote patient monitoring. J Med Syst. 2018;42(7):130.
Yue X, Wang H, Jin D, et al. Healthcare data gateways: found healthcare intelligence on blockchain with novel privacy risk control. J Med Syst. 2016;40(10):218.
Tseng JH, Liao YC, Chong B, et al. Governance on the drug supply chain via gcoin blockchain. Int J Environ Res Public Health. 2018;15(6):1055.
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