Healthcare cost optimization has improved through the implementation of Artificial Intelligence in remote patient monitoring because it increases operational efficiency and predictive analytics and allows immediate patient care management. This paper examines AI-powered RPM's economic value by showing its capacity to decrease hospital admissions together with reducing healthcare expenses while directing resources effectively. Business intelligence tools with AI help RPM systems create predictive intervention strategies for better patient results without affecting operational costs. This research uses quantitative methods alongside real-world healthcare institution data, financial calculations along with cost-benefit assessment for examining AI-driven RPM sustainability. The economic advantages of Artificial Intelligence are measured through analytical methods which combine cost-effectiveness analysis and machine learning predictive models together with regression analyses. Ai-powered RPM implementation cuts hospital stay expenses by a minimum of thirty percent while diminishing emergency room usage by 25 percent and enables better healthcare workforce allocation that enhances employee productivity and decreases operational expenses. This investigation brings originality through its combination of business intelligence methodology and predictive analytics with AI-driven RPM for better organizational choices. The paper fills knowledge gaps in the literature by using empirical data to prove the extended financial advantages of AI-based healthcare solutions. AI-based RPM systems demonstrate both technological advancement and financial practicability which enables healthcare policymakers together with hospital administrators and insurers to make well-informed investment choices. Researchers must study ways to scale AI-driven RPM systems which will enable their successful implementation throughout healthcare systems with various characteristics.

AI-driven monitoring, Healthcare cost reduction, Business intelligence, Remote patient monitoring, Digital health economics

Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine. 2019;25(1):44-56.

Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology. 2017;2(4):230-243.

Bates DW, Saria S, Ohno-Machado L, Shah A, Escobar G. Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Affairs. 2014;33(7):1123-1131.

Raghupathi W, Raghupathi V. Big data analytics in healthcare: promise and potential. Health Information Science and Systems. 2014;2(1):3.

Steinhubl SR, Muse ED, Topol EJ. The emerging field of mobile health. Science Translational Medicine. 2015;7(283):283rv3.

Patel NA, Butte AJ. Characteristics and challenges of the clinical pipeline of digital therapeutics. NPJ Digital Medicine. 2020;3(1):159.

Wang Y, Kung L, Byrd TA. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change. 2018;126:3-13.

Bresnick J. Understanding the basics of AI in healthcare. HealthITAnalytics. 2018.

Reddy S, Fox J, Purohit MP. Artificial intelligence-enabled healthcare delivery. Journal of the Royal Society of Medicine. 2019;112(1):22-28.

Obermeyer Z, Emanuel EJ. Predicting the future—big data, machine learning, and clinical medicine. The New England Journal of Medicine. 2016;375(13):1216-1219.

Matheny ME, Whicher D, Thadaney Israni S. Artificial intelligence in health care: a report from the National Academy of Medicine. JAMA. 2020;323(6):509-510.

Sinsky C, Colligan L, Li L, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Annals of Internal Medicine. 2016;165(11):753-760.

McGinnis JM, Stuckhardt L, Saunders R, Smith M. Best care at lower cost: the path to continuously learning health care in America. National Academies Press. 2013.

Adler-Milstein J, Jha AK. HITECH Act drove large gains in hospital electronic health record adoption. Health Affairs. 2017;36(8):1416-1422.

Fogel AL, Kvedar JC. Artificial intelligence powers digital medicine. NPJ Digital Medicine. 2018;1(1):5.

Kvedar JC, Fogel AL, Elenko E, Zohar D. Digital medicine’s march on chronic disease. Nature Biotechnology. 2016;34(3):239-246.

Bashshur RL, Shannon GW, Smith BR, et al. The empirical foundations of telemedicine interventions for chronic disease management. Telemedicine and e-Health. 2014;20(9):769-800.

Meskó B, Drobni Z, Bényei É, Gergely B, Győrffy Z. Digital health is a cultural transformation of traditional healthcare. Mhealth. 2017;3:38.

Matheny M, Israni ST, Ahmed M, Whicher D. Artificial intelligence in health care: the hope, the hype, the promise, the peril. National Academy of Medicine. 2019.

Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542(7639):115-118.

Shickel B, Tighe PJ, Bihorac A, Rashidi P. Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis. IEEE Journal of Biomedical and Health Informatics. 2018;22(5):1589-1604.

Rajkomar A, Dean J, Kohane I. Machine learning in medicine. The New England Journal of Medicine. 2019;380(14):1347-1358.

Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nature Biomedical Engineering. 2018;2(10):719-731.

Price WN, Cohen IG. Privacy in the age of medical big data. Nature Medicine. 2019;25(1):37-43.

Parikh RB, Teeple S, Navathe AS. Addressing bias in artificial intelligence in health care. JAMA. 2019;322(24):2377-2378.

Char DS, Shah NH, Magnus D. Implementing machine learning in health care—addressing ethical challenges. The New England Journal of Medicine. 2018;378(11):981-983.

Dilsizian SE, Siegel EL. Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Current Cardiology Reports. 2014;16(1):441.

Panch T, Pearson-Stuttard J, Greaves F, Atun R. Artificial intelligence: opportunities and risks for public health. The Lancet Digital Health. 2019;1(1):e13-e14 .

Obermeyer Z, Emanuel EJ. Predicting the future—big data, machine learning, and clinical medicine. The New England Journal of Medicine. 2016;375(13):1216-1219.

Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine. 2019;25(1):44-56.

Artificial Intelligence and Machine Learning as Business Tools: A Framework for Diagnosing Value Destruction Potential - Md Nadil Khan, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Nahid Khan, Ashequr Rahman - IJFMR Volume 6, Issue 1, January-February 2024. https://doi.org/10.36948/ijfmr.2024.v06i01.23680

Enhancing Business Sustainability Through the Internet of Things - MD Nadil Khan, Zahidur Rahman, Sufi Sudruddin Chowdhury, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Md Didear Hossen, Nahid Khan, Hamdadur Rahman - IJFMR Volume 6, Issue 1, January-February 2024. https://doi.org/10.36948/ijfmr.2024.v06i01.24118

Real-Time Environmental Monitoring Using Low-Cost Sensors in Smart Cities with IoT - MD Nadil Khan, Zahidur Rahman, Sufi Sudruddin Chowdhury, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Md Didear Hossen, Nahid Khan, Hamdadur Rahman - IJFMR Volume 6, Issue 1, January-February 2024. https://doi.org/10.36948/ijfmr.2024.v06i01.23163

IoT and Data Science Integration for Smart City Solutions - Mohammad Abu Sufian, Shariful Haque, Khaled Al-Samad, Omar Faruq, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1086

Business Management in an Unstable Economy: Adaptive Strategies and Leadership - Shariful Haque, Mohammad Abu Sufian, Khaled Al-Samad, Omar Faruq, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1084

The Internet of Things (IoT): Applications, Investments, and Challenges for Enterprises - Md Nadil Khan, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Nahid Khan, Ashequr Rahman - IJFMR Volume 6, Issue 1, January-February 2024. https://doi.org/10.36948/ijfmr.2024.v06i01.22699

Real-Time Health Monitoring with IoT - MD Nadil Khan, Zahidur Rahman, Sufi Sudruddin Chowdhury, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Md Didear Hossen, Nahid Khan, Hamdadur Rahman - IJFMR Volume 6, Issue 1, January-February 2024. https://doi.org/10.36948/ijfmr.2024.v06i01.22751

Strategic Adaptation to Environmental Volatility: Evaluating the Long-Term Outcomes of Business Model Innovation - MD Nadil Khan, Shariful Haque, Kazi Sanwarul Azim, Khaled Al-Samad, A H M Jafor, Md. Aziz, Omar Faruq, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1079

Evaluating the Impact of Business Intelligence Tools on Outcomes and Efficiency Across Business Sectors - MD Nadil Khan, Shariful Haque, Kazi Sanwarul Azim, Khaled Al-Samad, A H M Jafor, Md. Aziz, Omar Faruq, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1080

Analyzing the Impact of Data Analytics on Performance Metrics in SMEs - MD Nadil Khan, Shariful Haque, Kazi Sanwarul Azim, Khaled Al-Samad, A H M Jafor, Md. Aziz, Omar Faruq, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1081

The Evolution of Artificial Intelligence and its Impact on Economic Paradigms in the USA and Globally - MD Nadil khan, Shariful Haque, Kazi Sanwarul Azim, Khaled Al-Samad, A H M Jafor, Md. Aziz, Omar Faruq, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1083

Exploring the Impact of FinTech Innovations on the U.S. and Global Economies - MD Nadil Khan, Shariful Haque, Kazi Sanwarul Azim, Khaled Al-Samad, A H M Jafor, Md. Aziz, Omar Faruq, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1082

Business Innovations in Healthcare: Emerging Models for Sustainable Growth - MD Nadil khan, Zakir Hossain, Sufi Sudruddin Chowdhury, Md. Sohel Rana, Abrar Hossain, MD Habibullah Faisal, SK Ayub Al Wahid, MD Nuruzzaman Pranto - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1093

Impact of IoT on Business Decision-Making: A Predictive Analytics Approach - Zakir Hossain, Sufi Sudruddin Chowdhury, Md. Sohel Rana, Abrar Hossain, MD Habibullah Faisal, SK Ayub Al Wahid, Mohammad Hasnatul Karim - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1092

Security Challenges and Business Opportunities in the IoT Ecosystem - Sufi Sudruddin Chowdhury, Zakir Hossain, Md. Sohel Rana, Abrar Hossain, MD Habibullah Faisal, SK Ayub Al Wahid, Mohammad Hasnatul Karim - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1089

The Impact of Economic Policy Changes on International Trade and Relations - Kazi Sanwarul Azim, A H M Jafor, Mir Abrar Hossain, Azher Uddin Shayed, Nabila Ahmed Nikita, Obyed Ullah Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1098

Privacy and Security Challenges in IoT Deployments - Obyed Ullah Khan, Kazi Sanwarul Azim, A H M Jafor, Azher Uddin Shayed, Mir Abrar Hossain, Nabila Ahmed Nikita - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1099

Digital Transformation in Non-Profit Organizations: Strategies, Challenges, and Successes - Nabila Ahmed Nikita, Kazi Sanwarul Azim, A H M Jafor, Azher Uddin Shayed, Mir Abrar Hossain, Obyed Ullah Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1097

AI and Machine Learning in International Diplomacy and Conflict Resolution - Mir Abrar Hossain, Kazi Sanwarul Azim, A H M Jafor, Azher Uddin Shayed, Nabila Ahmed Nikita, Obyed Ullah Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1095

The Evolution of Cloud Computing & 5G Infrastructure and its Economical Impact in the Global Telecommunication Industry - A H M Jafor, Kazi Sanwarul Azim, Mir Abrar Hossain, Azher Uddin Shayed, Nabila Ahmed Nikita, Obyed Ullah Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1100

Leveraging Blockchain for Transparent and Efficient Supply Chain Management: Business Implications and Case Studies - Ankur Sarkar, S A Mohaiminul Islam, A J M Obaidur Rahman Khan, Tariqul Islam, Rakesh Paul, Md Shadikul Bari - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28492

AI-driven Predictive Analytics for Enhancing Cybersecurity in a Post-pandemic World: a Business Strategy Approach - S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Tariqul Islam, Rakesh Paul, Md Shadikul Bari - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28493

The Role of Edge Computing in Driving Real-time Personalized Marketing: a Data-driven Business Perspective - Rakesh Paul, S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Tariqul Islam, Md Shadikul Bari - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28494

Circular Economy Models in Renewable Energy: Technological Innovations and Business Viability - Md Shadikul Bari, S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Tariqul Islam, Rakesh Paul - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28495

Artificial Intelligence in Fraud Detection and Financial Risk Mitigation: Future Directions and Business Applications - Tariqul Islam, S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Rakesh Paul, Md Shadikul Bari - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28496

The Integration of AI and Machine Learning in Supply Chain Optimization: Enhancing Efficiency and Reducing Costs - Syed Kamrul Hasan, MD Ariful Islam, Ayesha Islam Asha, Shaya afrin Priya, Nishat Margia Islam - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28075

Cybersecurity in the Age of IoT: Business Strategies for Managing Emerging Threats - Nishat Margia Islam, Syed Kamrul Hasan, MD Ariful Islam, Ayesha Islam Asha, Shaya Afrin Priya - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28076

The Role of Big Data Analytics in Personalized Marketing: Enhancing Consumer Engagement and Business Outcomes - Ayesha Islam Asha, Syed Kamrul Hasan, MD Ariful Islam, Shaya afrin Priya, Nishat Margia Islam - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28077

Sustainable Innovation in Renewable Energy: Business Models and Technological Advances - Shaya Afrin Priya, Syed Kamrul Hasan, Md Ariful Islam, Ayesha Islam Asha, Nishat Margia Islam - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28079

The Impact of Quantum Computing on Financial Risk Management: A Business Perspective - Md Ariful Islam, Syed Kamrul Hasan, Shaya Afrin Priya, Ayesha Islam Asha, Nishat Margia Islam - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28080

AI-driven Predictive Analytics, Healthcare Outcomes, Cost Reduction, Machine Learning, Patient Monitoring - Sarowar Hossain, Ahasan Ahmed, Umesh Khadka, Shifa Sarkar, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/ 10.62127/aijmr.2024.v02i05.1104

Blockchain in Supply Chain Management: Enhancing Transparency, Efficiency, and Trust - Nahid Khan, Sarowar Hossain, Umesh Khadka, Shifa Sarkar - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1105

Cyber-Physical Systems and IoT: Transforming Smart Cities for Sustainable Development - Umesh Khadka, Sarowar Hossain, Shifa Sarkar, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1106

Quantum Machine Learning for Advanced Data Processing in Business Analytics: A Path Toward Next-Generation Solutions - Shifa Sarkar, Umesh Khadka, Sarowar Hossain, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1107

Optimizing Business Operations through Edge Computing: Advancements in Real-Time Data Processing for the Big Data Era - Nahid Khan, Sarowar Hossain, Umesh Khadka, Shifa Sarkar - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1108

Data Science Techniques for Predictive Analytics in Financial Services - Shariful Haque, Mohammad Abu Sufian, Khaled Al-Samad, Omar Faruq, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1085

Leveraging IoT for Enhanced Supply Chain Management in Manufacturing - Khaled AlSamad, Mohammad Abu Sufian, Shariful Haque, Omar Faruq, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1087 33

AI-Driven Strategies for Enhancing Non-Profit Organizational Impact - Omar Faruq, Shariful Haque, Mohammad Abu Sufian, Khaled Al-Samad, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i0.1088

Sustainable Business Practices for Economic Instability: A Data-Driven Approach - Azher Uddin Shayed, Kazi Sanwarul Azim, A H M Jafor, Mir Abrar Hossain, Nabila Ahmed Nikita, Obyed Ullah Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1095

Mohammad Majharul Islam, MD Nadil khan, Kirtibhai Desai, MD Mahbub Rabbani, Saif Ahmad, & Esrat Zahan Snigdha. (2025). AI-Powered Business Intelligence in IT: Transforming Data into Strategic Solutions for Enhanced Decision-Making. The American Journal of Engineering and Technology, 7(02), 59–73. https://doi.org/10.37547/tajet/Volume07Issue02-09.

Saif Ahmad, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, MD Mahbub Rabbani, & Esrat Zahan Snigdha. (2025). Optimizing IT Service Delivery with AI: Enhancing Efficiency Through Predictive Analytics and Intelligent Automation. The American Journal of Engineering and Technology, 7(02), 44–58. https://doi.org/10.37547/tajet/Volume07Issue02-08.

Esrat Zahan Snigdha, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, MD Mahbub Rabbani, & Saif Ahmad. (2025). AI-Driven Customer Insights in IT Services: A Framework for Personalization and Scalable Solutions. The American Journal of Engineering and Technology, 7(03), 35–49. https://doi.org/10.37547/tajet/Volume07Issue03-04.

MD Mahbub Rabbani, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, Saif Ahmad, & Esrat Zahan Snigdha. (2025). Human-AI Collaboration in IT Systems Design: A Comprehensive Framework for Intelligent Co-Creation. The American Journal of Engineering and Technology, 7(03), 50–68. https://doi.org/10.37547/tajet/Volume07Issue03-05.

Kirtibhai Desai, MD Nadil khan, Mohammad Majharul Islam, MD Mahbub Rabbani, Saif Ahmad, & Esrat Zahan Snigdha. (2025). Sentiment analysis with ai for it service enhancement: leveraging user feedback for adaptive it solutions. The American Journal of Engineering and Technology, 7(03), 69–87. https://doi.org/10.37547/tajet/Volume07Issue03-06.

Mohammad Tonmoy Jubaear Mehedy, Muhammad Saqib Jalil, MahamSaeed, Abdullah al mamun, Esrat Zahan Snigdha, MD Nadil khan, NahidKhan, & MD Mohaiminul Hasan. (2025). Big Data and Machine Learning inHealthcare: A Business Intelligence Approach for Cost Optimization andService Improvement. The American Journal of Medical Sciences andPharmaceutical Research, 115–135.https://doi.org/10.37547/tajmspr/Volume07Issue0314.

Maham Saeed, Muhammad Saqib Jalil, Fares Mohammed Dahwal, Mohammad Tonmoy Jubaear Mehedy, Esrat Zahan Snigdha, Abdullah al mamun, & MD Nadil khan. (2025). The Impact of AI on Healthcare Workforce Management: Business Strategies for Talent Optimization and IT Integration. The American Journal of Medical Sciences and Pharmaceutical Research, 7(03), 136–156. https://doi.org/10.37547/tajmspr/Volume07Issue03-15.

Muhammad Saqib Jalil, Esrat Zahan Snigdha, Mohammad Tonmoy Jubaear Mehedy, Maham Saeed, Abdullah al mamun, MD Nadil khan, & Nahid Khan. (2025). AI-Powered Predictive Analytics in Healthcare Business: Enhancing OperationalEfficiency and Patient Outcomes. The American Journal of Medical Sciences and Pharmaceutical Research, 93–114. https://doi.org/10.37547/tajmspr/Volume07Issue03-13.

Esrat Zahan Snigdha, Muhammad Saqib Jalil, Fares Mohammed Dahwal, Maham Saeed, Mohammad Tonmoy Jubaear Mehedy, Abdullah al mamun, MD Nadil khan, & Syed Kamrul Hasan. (2025). Cybersecurity in Healthcare IT Systems: Business Risk Management and Data Privacy Strategies. The American Journal of Engineering and Technology, 163–184. https://doi.org/10.37547/tajet/Volume07Issue03-15.

Abdullah al mamun, Muhammad Saqib Jalil, Mohammad Tonmoy Jubaear Mehedy, Maham Saeed, Esrat Zahan Snigdha, MD Nadil khan, & Nahid Khan. (2025). Optimizing Revenue Cycle Management in Healthcare: AI and IT Solutions for Business Process Automation. The American Journal of Engineering and Technology, 141–162. https://doi.org/10.37547/tajet/Volume07Issue03-14