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International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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AI IN HEALTHCARE AND HOSPITAL MANAGEMENT

AUTHORS:
Poulomi Chakrabarti , Pradip Mondal
Mentor
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CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Artificial Intelligence (AI) is helping hospitals and healthcare become more responsive,precise, and patient-centred systems. AI supports healthcare professionals to diagnose illness earlier, give treatment, and prevent complications by learning from medical data: medical images, reports, and genetic profiles, which are stored in ‘Electronic Health Records’.Advancement of medical care gives the patient more accurate treatment, faster recovery and serves individual care as per needs.


AI touches nearly every corner of medical care: guiding surgeons during complex operations, monitoring patients in intensive care units, assisting pharmacists to reduce medication errors, and supporting patients as a backbone in relating to their treatment plans. It also givesinnovative solutions, such as contactless patient check-up, medicine delivery (Telemedicine).


Protect both patients and healthcare workers by preventing the spread of communicable diseases or minimizing the infection risk. In the field of pharmacies and research labs, AI is also effective in drug discovery, optimizes treatment administration, and improves efficiency in inventory management—ultimately, AI reaches the life-saving medicine and effective care to the right patient at the right time.


The hospital’s rich, diverse, and invaluable data drives the AI integration. AI Yet with this potential comes responsibility: protecting patient privacy, ensuring fairness, preventing bias, and embedding strong ethical safeguards are essential.


Ultimately, AI in hospitals is not just about machines making decisions or technological power—it is about empowering doctors, nurses, pharmacists, and caregivers to spend more time with patients for listening, comforting, and healing. When technology amplifies human compassion, working together, healthcare can become not only smarter, but also ensure stronger trust, kindness, transparency, and healthier communities.After all, AI in hospitals and healthcare focuses on improving patient outcomes through assisting in all corners of healthcare.

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Mondal, P. C. ,. P. (2026). AI in Healthcare and Hospital Management. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.113

Mondal, Poulomi. "AI in Healthcare and Hospital Management." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.113.

Mondal, Poulomi. "AI in Healthcare and Hospital Management." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.113.

References
1.AI in Hospital Administration: Revolutionizing Healthcare, March 2025, David Mhlanga, Monash University (Australia)

2.Perplexity- Artificial Intelligence in Modern Healthcare: Drug Discovery, Fairness, and Critical-Care Monitoring, Artificial Intelligence in Healthcare and Hospital Management: Applications, Challenges, and Regulatory Frameworks

3.Multinational attitudes towards AI in healthcare and diagnostics among hospital patients, Felix Busch, MD, Lena Hoffmann, MD, Lina Xu, MD, Longjiang Zhang, MD PhD, Bin Hu, MD, Ignacio García-Juárez4, MD, Liz N Toapanta-Yanchapaxi, MD, Natalia

Gorelik6, MD MPH, Valérie Gorelik, Gaston A Rodriguez-Granillo, MD PhD, Carlos Ferrarotti9, MD, Nguyen N Cuong, MD, Chau AP Thi, Murat Tuncel, MD, Gürsan Kaya, MD, Sergio M Solis-Barquero, MSc, Maria C Mendez Avila, MSc, Nevena G Ivanova, PhD, Felipe C Kitamura, MD PhD, Karina YI Hayama, MD, Monserrat L Puntunet Bates, Pedro Iturralde Torres, MD, Esteban Ortiz-Prado20, MD PhD, Juan S Izquierdo-Condoy, MD, Gilbert M Schwarz, MD, Jochen G Hofstaetter, MD, Michihiro Hide, MD PhD,

Konagi Takeda, MD, Barbara Perić, MD PhD, Gašper Pilko, MD PhD, Hans O Thulesius, MD PhD, Thomas A Lindow, MD PhD, Israel K Kolawole, MD, Samuel Adegboyega

Olatoke, MD, Andrzej Grzybowski, MD PhD, Alexandru Corlateanu, PhD, Oana-Simina Iaconi, MD, Ting Li, MD PhD, Izabela Domitrz, MD PhD, Katarzyna Kępczyńska, MD, Matúš Mihalčin, PhD, Lenka Fašaneková, MD, Tomasz Zatoński, MD, Katarzyna Fułek, MD, András Molnár, MD PhD, Stefani Maihoub, MD PhD, Zenewton A da Silva
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✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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