Predictive analytics and health information systems (HIS) have become the focus of the current healthcare revolution that provides unprecedented potential to enhance patient outcomes, streamline clinical processes, and lower the increasing cost of care. Although electronic health records (EHRs) and claims-based databases are widely adopted, a number of healthcare organizations still experience difficulties in extracting practical insights off their data resources, especially when it comes to anticipating high-risk events like hospital readmissions. The present research uses a data-intensive method to investigate the role of combined HIS infrastructures in conjunction with cutting-edge predictive modeling methods in positively influencing clinical decision-making and minimizing preventable readmissions. Based on the real-world EHRs and claims datasets, the study creates a multi-layered analytics pipeline covering data extraction, data standardization via HL7 FHIR and ICD-10 coding systems, and feature engineering, and model development with logistic regression, random forest, and gradient boosting algorithms. To assess the clinical reliability of the model, AUC, precision, recall, and F1-score were used to compare model performance. The results indicate that predictive models based on harmonized HIS data are capable of identifying high-risk patients with a high level of discriminatory power, which allows hospitals to apply timely interventions, allocate resources more effectively, and save the cost-per -patient on preventive care measures. In addition, the operational framework that is suggested in this study offers a blueprint of integration of predictive analytics to the clinical routine working process that can be scaled. The paper provides a contribution to the existing literature by connecting health information systems engineering to applied data science and providing an evidence-based roadmap of health organizations wishing to operationalize patient outcome improvement using analytics. The study presents important implications to clinical practice, hospital management as well as health policy especially in the value-based and population health care models.

Health Information Systems, Predictive Analytics, Patient Outcomes, Electronic Health Records, Readmission Prediction

Jha AK, DesRoches CM, Campbell EG, et al. Use of electronic health records in U.S. hospitals. N Engl J Med. 2009;360(16):1628-1638.

Blumenthal D, Tavenner M. The "meaningful use" regulation for electronic health records. N Engl J Med. 2010;363(6):501-504.

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 Aff (Millwood). 2014;33(7):1123-1131.

Hersh WR. The health information technology workforce: the time for preparation is now. J Am Med Inform Assoc. 2006;13(2):115-116.

McIlvennan CK, Eapen ZJ, Allen LA. Hospital readmissions reduction program. Circulation. 2015;131(20):1796-1803.

VanLare JM, Conway PH. Value-based purchasing--national programs to move from volume to value. N Engl J Med. 2012;367(4):292-295.

Obermeyer Z, Emanuel EJ. Predicting the Future - Big Data, Machine Learning, and Clinical Medicine. N Engl J Med. 2016;375(13):1216-1219.

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.

Friedman CP, Wong AK, Blumenthal D. Achieving a nationwide learning health system. Sci Transl Med. 2010;2(57):57cm29.

Agha L, Frandsen B, Rebitzer JB. Causes and Consequences of Fragmented Care Delivery: Theory, Evidence, and Public Policy. NBER Working Paper. 2017;(No. w23078).

Adler-Milstein J, Holmgren AJ, Kralovec P, Worzala C, Searcy T, Patel V. Electronic health record adoption in US hospitals: the emergence of a digital "advanced use" divide. J Am Med Inform Assoc. 2017;24(6):1142-1148.

Cusack CM, Hripcsak G, Bloomrosen M, et al. The future state of clinical data capture and documentation: a report from AMIA's 2011 Policy Meeting. J Am Med Inform Assoc. 2013;20(1):134-140.

Mandel JC, Kreda DA, Mandl KD, Kohane IS, Ramoni RB. SMART on FHIR: a standards-based, interoperable apps platform for electronic health records. J Am Med Inform Assoc. 2016;23(5):899-908.

Bender D, Sartipi K. HL7 FHIR: An Agile and RESTful approach to healthcare information exchange. CBMS. 2013:326-331.

Cimino JJ. Desiderata for controlled medical vocabularies in the twenty-first century. Methods Inf Med. 1998;37(4-5):394-403.

Stanfill MH, Williams M, Fenton SH, Jenders RA, Hersh WR. A systematic literature review of automated clinical coding and classification systems. J Am Med Inform Assoc. 2010;17(6):646-651.

Hersh WR, Weiner MG, Embi PJ, et al. Caveats for the use of operational electronic health record data in comparative effectiveness research. Med Care. 2013;51(8 Suppl 3):S30-S37.

Hripcsak G, Albers DJ. Next-generation phenotyping of electronic health records. J Am Med Inform Assoc. 2013;20(1):117-121.

Fleisher LA. Improving Perioperative Outcomes: My Journey into Risk, Risk Indices, and Predictive Analytics. Anesth Analg. 2019;128(2):365-369.

Ross TR, Ng D, Brown JS, et al. The HMO Research Network Virtual Data Warehouse: A Public Data Model to Support Collaboration. EGEMS (Wash DC). 2014;2(1):1049.

Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009;360(14):1418-1428.

Krumholz HM. Post-hospital syndrome--an acquired, transient condition of generalized risk. N Engl J Med. 2013;368(2):100-102.

van Walraven C, Dhalla IA, Bell C, et al. Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community. CMAJ. 2010;182(6):551-557.

Kansagara D, Englander H, Salanitro A, et al. Risk prediction models for hospital readmission: a systematic review. JAMA. 2011;306(15):1688-1698.

Rajkomar A, Oren E, Chen K, et al. Scalable and accurate deep learning with electronic health records. NPJ Digit Med. 2018;1:18.

Shipe ME, Deppen SA, Farjah F, Grogan EL. Developing prediction models for clinical use using logistic regression: an overview. J Thorac Dis. 2019;11(S4):S574-S584.

Futoma J, Morris J, Lucas J. A comparison of models for predicting early hospital readmissions. J Biomed Inform. 2015;56:229-238.

Deo RC. Machine Learning in Medicine. Circulation. 2015;132(20):1920-1930.

Goldstein BA, Navar AM, Pencina MJ, Ioannidis JPA. Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review. J Am Med Inform Assoc. 2017;24(1):198-208.

Greenhalgh T, Wherton J, Papoutsi C, et al. Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies. J Med Internet Res. 2017;19(11):e367.

Sittig DF, Singh H. A new socio-technical model for studying health information technology in complex adaptive healthcare systems. Qual Saf Health Care. 2010;19 Suppl 3(Suppl_3):i68-i74.

Ash JS, Sittig DF, Campbell EM, Guappone KP, Dykstra RH. Some unintended consequences of clinical decision support systems. AMIA Annu Symp Proc. 2007:26-30.

Sendak MP, D'Arcy J, Kashyap S, et al. A path for translation of machine learning products into healthcare delivery. EMJ Innov. 2020;4(1):19-001.

Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005;330(7494):765.

Middleton B, Sittig DF, Wright A. Clinical Decision Support: a 25 Year Retrospective and a 25 Year Vision. Yearb Med Inform. 2016;Suppl 1(Suppl 1):S103-S116.

Char DS, Shah NH, Magnus D. Implementing Machine Learning in Health Care - Addressing Ethical Challenges. N Engl J Med. 2018;378(11):981-983.

Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366(6464):447-453.

Gianfrancesco MA, Tamang S, Yazdany J, Schmajuk G. Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data. JAMA Intern Med. 2018;178(11):1544-1547.

Vyas DA, Eisenstein LG, Jones DS. Hidden in Plain Sight - Reconsidering the Use of Race Correction in Clinical Algorithms. N Engl J Med. 2020;383(9):874-882.

Hansen LO, Greenwald JL, Budnitz T, et al. Project BOOST: effectiveness of a multihospital effort to reduce rehospitalization. J Hosp Med. 2013;8(8):421-427.

Naylor MD, Brooten D, Campbell R, et al. Comprehensive discharge planning and home follow-up of hospitalized elders: a randomized clinical trial. JAMA. 1999;281(7):613-620.

Vest JR, Gamm LD, Oxford BA, Gonzalez MI, Slawson KM. Determinants of preventable readmissions in the United States: a systematic review. Implement Sci. 2010;5:88.

Kripalani S, Theobald CN, Anctil B, Vasilevskis EE. Reducing hospital readmission: current strategies and future directions. Annu Rev Med. 2014;65:471-485.

Friedman C, Rubin J, Brown J, et al. Toward a science of learning systems: a research agenda for the high-functioning Learning Health System. J Am Med Inform Assoc. 2015;22(1):43-50.

Etheredge LM. A rapid-learning health system. Health Aff (Millwood). 2007;26(2):w107-w118.

Boutwell AE, Jencks SF, Nielsen GA, Rutherford P. The hospital readmissions reduction program: a business case. Healthc (Amst). 2015;3(3):132-137.

Joynt KE, Jha AK. A path forward on Medicare readmissions. N Engl J Med. 2013;368(13):1175-1177.

Amarasingham R, Patel PC, Toto K, et al. Allocating scarce resources in real-time to reduce heart failure readmissions: a prospective, controlled study. BMJ Qual Saf. 2013;22(12):998-1005.

Kottke TE, Stiefel M, Pronk NP. "Well-Being in All Policies": Promoting Cross-Sectoral Collaboration for Improving People's Lives. NAM Perspect. 2016.

Henry KE, Hager DN, Pronovost PJ, Saria S. A targeted real-time early warning score (TREWScore) for septic shock. Sci Transl Med. 2015;7(299):299ra122.

Tomasev N, Glorot X, Rae JW, et al. A clinically applicable approach to continuous prediction of future acute kidney injury. Nature. 2019;572(7767):116-119.

Denny JC, Collins FS. Precision medicine in 2030-seven ways to transform healthcare. Cell. 2021;184(6):1415-1419.

Hripcsak G, Albers DJ. Correlating electronic health record concepts with healthcare process events. J Am Med Inform Assoc. 2013;20(e2):e311-e318.

Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA. 2013;309(13):1351-1352.

Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4:50.

Proctor E, Silmere H, Raghavan R, et al. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. 2011;38(2):65-76.

Sheikh A, Sood HS, Bates DW. Leveraging health information technology to achieve the "triple aim" of healthcare reform. J Am Med Inform Assoc. 2015;22(4):849-856.

Sittig DF, Ash JS. Clinical Information Systems: Overcoming Adverse Consequences. Jones & Bartlett Learning; 2010.

Coiera E. Guide to Health Informatics. 3rd ed. CRC Press; 2015.

Steyerberg EW. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. Springer; 2019.

Harrell FE Jr. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. Springer; 2001.

Rumsfeld JS, Joynt KE, Maddox TM. Big data analytics to improve cardiovascular care: promise and challenges. Nat Rev Cardiol. 2016;13(6):350-359.

Shah ND, Steyerberg EW, Kent DM. Big Data and Predictive Analytics: Recalibrating Expectations. JAMA. 2018;320(1):27-28.

Bates DW, Heitmueller A, Kakad M, Saria S. Why policymakers should care about "big data" in healthcare. Health Policy Technol. 2018;7(2):211-216.

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

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

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

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.

Hasan, M. M., Mirza, J. B., Paul, R., Hasan, M. R., Hassan, A., Khan, M. N., & Islam, M. A. (2025). Human-AI Collaboration in Software Design: A Framework for Efficient Co Creation. AIJMR-Advanced International Journal of Multidisciplinary Research, 3(1). DOI: 10.62127/aijmr.2025.v03i01.1125

Mohammad Tonmoy Jubaear Mehedy, Muhammad Saqib Jalil, Maham Saeed, Esrat Zahan Snigdha, Nahid Khan, MD Mohaiminul Hasan.The American Journal of Medical Sciences and Pharmaceutical Research, 7(3). 115-135.https://doi.org/10.37547/tajmspr/Volume07Issue03-14.

Junaid Baig Mirza, MD Mohaiminul Hasan, Rajesh Paul, Mohammad Rakibul Hasan, Ayesha Islam Asha. AIJMR-Advanced International Journal of Multidisciplinary Research, Volume 3, Issue 1, January-February 2025 .DOI: 10.62127/aijmr.2025.v03i01.1123 .

Mohammad Rakibul Hasan, MD Mohaiminul Hasan, Junaid Baig Mirza, Ali Hassan, Rajesh Paul, MD Nadil Khan, Nabila Ahmed Nikita.AIJMR-Advanced International Journal of Multidisciplinary Research, Volume 3, Issue 1, January-February 2025 .DOI: 10.62127/aijmr.2025.v03i01.1124.

Gazi Mohammad Moinul Haque, Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Asif Syed, & Yeasin Arafat. (2025). Cybersecurity Risk Management in the Age of Digital Transformation: A Systematic Literature Review. The American Journal of Engineering and Technology, 7(8), 126–150. https://doi.org/10.37547/tajet/Volume07Issue08-14

Yaseen Shareef Mohammed, Dhiraj Kumar Akula, Asif Syed, Gazi Mohammad Moinul Haque, & Yeasin Arafat. (2025). The Impact of Artificial Intelligence on Information Systems: Opportunities and Challenges. The American Journalof Engineering and Technology, 7(8), 151–176. https://doi.org/10.37547/tajet/Volume07Issue08-15

Yeasin Arafat, Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Gazi Mohammad Moinul Haque, Mahzabin Binte Rahman, & Asif Syed. (2025). Big Data Analytics in Information Systems Research: Current Landscape and Future Prospects Focus: Data science, cloud platforms, real-time analytics in IS. The American Journal of Engineering and Technology, 7(8), 177–201. https://doi.org/10.37547/tajet/Volume07Issue08-16

Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Asif Syed, Gazi Mohammad Moinul Haque, & Yeasin Arafat. (2025). The Role of Information Systems in Enhancing Strategic Decision Making: A Review and Future Directions. The American Journal of Management and Economics Innovations, 7(8), 80–105. https://doi.org/10.37547/tajmei/Volume07Issue08-07

Dhiraj Kumar Akula, Kazi Sanwarul Azim, Yaseen Shareef Mohammed, Asif Syed, & Gazi Mohammad Moinul Haque. (2025). Enterprise Architecture: Enabler of Organizational Agility and Digital Transformation. The American Journalof Management and Economics Innovations, 7(8), 54–79. https://doi.org/10.37547/tajmei/Volume07Issue08-06

Suresh Shivram Panchal, Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, & Yogesh Sharad Ahirrao. (2025). Cyber Risk And Business Resilience: A Financial Perspective On IT Security Investment Decisions. The American Journal of Engineering and Technology, 7(09), 23–48.https://doi.org/10.37547/tajet/Volume07Issue09-04

Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Fintech Innovation And IT Infrastructure: Business Implications For Financial Inclusion And Digital Payment Systems. The American Journal of Engineering and Technology, 7(09), 49–73. https://doi.org/10.37547/tajet/Volume07Issue09-05.

Asif Syed, Iqbal Ansari, Kiran Bhujel, Yogesh Sharad Ahirrao, Suresh Shivram Panchal, & Yaseen Shareef Mohammed. (2025). Blockchain Integration In Business Finance: Enhancing Transparency, Efficiency, And Trust In Financial Ecosystems. The American Journal of Engineering and Technology, 7(09), 74–99. https://doi.org/10.37547/tajet/Volume07Issue09-06.

Kiran Bhujel, Iqbal Ansari, Kazi Sanwarul Azim, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Digital Transformation In Corporate Finance: The Strategic Role Of IT In Driving Business Value. The American Journal of Engineering and Technology, 7(09), 100–125. https://doi.org/10.37547/tajet/Volume07Issue09-07.

Yogesh Sharad Ahirrao, Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, & Suresh Shivram Panchal. (2025). AI-Powered Financial Strategy: Transforming Business Decision-Making Through Predictive Analytics. The American Journal of Engineering and Technology, 7(09), 126–151. https://doi.org/10.37547/tajet/Volume07Issue09-08.

Keya Karabi Roy, Maham Saeed, Mahzabin Binte Rahman, Kami Yangzen Lama, & Mustafa Abdullah Azzawi. (2025). Leveraging artificial intelligence for strategic decision-making in healthcare organizations: a business it perspective. The American Journal of Applied Sciences, 7(8), 74–93. https://doi.org/10.37547/tajas/Volume07Issue08-07

Maham Saeed. (2025). Data-Driven Healthcare: The Role of Business Intelligence Tools in Optimizing Clinical and Operational Performance. The American Journal of Applied Sciences, 7(8), 50–73. https://doi.org/10.37547/tajas/Volume07Issue08-06

Kazi Sanwarul Azim, Maham Saeed, Keya Karabi Roy, & Kami Yangzen Lama. (2025). Digital transformation in hospitals: evaluating the ROI of IT investments in health systems. The American Journal of Applied Sciences, 7(8), 94–116. https://doi.org/10.37547/tajas/Volume07Issue08-08

Kami Yangzen Lama, Maham Saeed, Keya Karabi Roy, & MD Abutaher Dewan. (2025). Cybersecurityac Strategies in Healthcare It Infrastructure: Balancing Innovation and Risk Management. The American Journal of Engineering and Technology, a7(8), 202–225. https://doi.org/10.37547/tajet/Volume07Issue08-17

Maham Saeed, Keya Karabi Roy, Kami Yangzen Lama, Mustafa Abdullah Azzawi, & Yeasin Arafat. (2025). IOTa and Wearable Technology in Patient Monitoring: Business Analyticacs Applications for Real-Time Health Management. The American Journal of Engineering and Technology, 7(8), 226–246. https://doi.org/10.37547/tajet/Volume07Issue08-18

Bhujel, K., Bulbul, S., Rafique, T., Majeed, A. A., & Maryam, D. S. (2024). Economic Inequality And Wealth Distribution. Educational Administration: Theory and Practice, 30(11), 2109–2118. https://doi.org/10.53555/kuey.v30i11.10294

Groenewald, D. E. S., Bhujel, K., Bilal, M. S., Rafique, T., Mahmood, D. S., Ijaz, A., Kantharia, D. F. A., & Groenewald, D. C. A. (2024). Enhancing Organizational performance through competency-based human resource management: A novel approach to performance evaluation. Educational Administration: Theory and Practice, 30(8), 284–290. https://doi.org/10.53555/kuey.v30i8.7250