Applied Sciences | Open Access | DOI: https://doi.org/10.37547/tajas/Volume07Issue08-07

Leveraging artificial intelligence for strategic decision-making in healthcare organizations: a business it perspective

Keya Karabi Roy , Master of Science in Healthcare Management, St. FRANCIS COLLEGE, Brooklyn, New York
Maham Saeed , Master of Science in Healthcare Management, St. FRANCIS COLLEGE, Brooklyn, New York
Mahzabin Binte Rahman , Master of Science in Business Analytics, Trine University, Detroit, Michigan, USA
Kami Yangzen Lama , Department of Information Technology, Washington University of Science and Technology (wust), 2900 Eisenhower Ave, Alexandria, VA 22314, USA
Mustafa Abdullah Azzawi , Independent Researcher in Computer Science and Network Technology, USA

Abstract

AI is now playing a key role in healthcare by giving rise to new possibilities in diagnostics, planning care, using resources wisely, and developing the right strategy for organizations. Here, the focus is on learning how healthcare organizations can make better decisions in business by using AI technologies. Both secondary research and insights from digitalized hospitals are used to study this topic. General data was gathered from existing health performance dashboards, yet calculations from machine learning were also used, along with reviews of how ready the organization is and interviews with stakeholders for qualitative insights. Researchers have found out that the use of AI-based tools in healthcare organizations leads to a 45% drop in errors during diagnosis and a 30% decrease in expenses related to management. It was also important for AI tools to match the business’s IT infrastructure to help the company become agile in its strategy. Still, there are challenges such as data not sharing well, biased algorithms, and lack of acceptance of technological updates that keep most people from adopting data science. The study provides insight into the current field of healthcare by offering a unified framework for healthcare administration, artificial intelligence, and business information systems. What makes this research stand out is that it looks at AI’s uses in medicine and in the process of making high-level decisions. At the end, the paper offers practical steps that healthcare leaders should consider to shapes long-term strategies by using AI.

Keywords

Artificial Intelligence, Strategic Decision-Making, Healthcare IT, Business Analytics, Predictive Systems

References

Topol E. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books; 2019.

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

Davenport TH, Kalakota R. The potential for artificial intelligence in healthcare. Future Healthc J. 2019;6(2):94-98.

Brynjolfsson E, McAfee A. Machine, Platform, Crowd: Harnessing Our Digital Future. W.W. Norton & Company; 2017.

Obermeyer Z, Emanuel EJ. Predicting the future - big data, machine learning, and clinical medicine. N Engl J Med. 2016;375(13):1216-1219.

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

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

Char DS, Shah NH, Magnus D. Implementing machine learning in health care - addressing ethical challenges. N Engl J Med. 2018;378(11):981-983.

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

Paré G, Trudel MC, Jaana M, et al. Barriers to organizational adoption of EMR systems in family physician practices: a mixed-methods study. BMC Med Inform Decis Mak. 2014;14:35.

Kohli M, Jha S. Why CAD failed in mammography. J Am Coll Radiol. 2018;15(3):535-537.

Agrawal A, Gans J, Goldfarb A. Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press; 2018.

Raghupathi W, Raghupathi V. Big data analytics in healthcare: promise and potential. Health Inf Sci Syst. 2014;2:3.

Kankanhalli A, Charalabidis Y, Mellouli S. IoT and AI for smart government: a research agenda. Gov Inf Q. 2019;36(2):304-309.

Gartner. Hype Cycle for Healthcare Providers. Gartner; 2021.

Mittelstadt BD, Allo P, Taddeo M, et al. The ethics of algorithms: mapping the debate. Big Data Soc. 2016;3(2):1-21.

Floridi L, Cowls J, Beltrametti M, et al. AI4People—an ethical framework for a good AI society. Minds Mach. 2018;28(4):689-707.

Voigt P, von dem Bussche A. The EU General Data Protection Regulation (GDPR): A Practical Guide. Springer; 2017.

Vayena E, Blasimme A, Cohen IG. Machine learning in medicine: addressing ethical challenges. PLoS Med. 2018;15(11):e1002689.

Abouelmehdi K, Beni-Hssane A, Khaloufi H, et al. Big data security and privacy in healthcare: a review. Procedia Comput Sci. 2017;113:73-80.

Shah NH, Milstein A, Bagley SC. Making machine learning models clinically useful. JAMA. 2019;322(14):1351-1352.

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

Liu X, Rivera SC, Moher D, et al. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension. BMJ. 2020;370:m3164.

Wachter RM. The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age. McGraw-Hill; 2015.

Holzinger A, Langs G, Denk H, et al. Causability and explainability of AI in medicine. Wiley Interdiscip Rev Data Min Knowl Discov. 2019;9(4):e1312.

Wahl B, Cossy-Gantner A, Germann S, et al. Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? BMJ Glob Health. 2018;3(4):e000798.

Wahl B, Cossy-Gantner A, Germann S, et al. Artificial intelligence and global health: opportunities and challenges. Lancet Digit Health. 2019;1(1):e13-e14.

World Health Organization. *Global Strategy on Digital Health 2020-2025.* WHO; 2021.

Beam AL, Kohane IS. Big data and machine learning in health care. JAMA. 2018;319(13):1317-1318.

Holzinger A, Biemann C, Pattichis CS, et al. What do we need to build explainable AI systems for the medical domain? arXiv. 2017;1712.09923.

Rajkomar A, Dean J, Kohane I. Machine learning in medicine. N Engl J Med. 2019;380(14):1347-1358.

Ghassemi M, Naumann T, Schulam P, et al. Practical guidance on artificial intelligence for health-care data. Lancet Digit Health. 2019;1(4):e157-e159.

Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng. 2018;2(10):719-731.

Liu X, Faes L, Kale AU, et al. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. Lancet Digit Health. 2019;1(6):e271-e297.

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.

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.

81. 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.

Article Statistics

Downloads

Download data is not yet available.

Copyright License

Download Citations

How to Cite

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