 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: April 2026
Volume 11 | Issue 4
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23355
Article Published : 9033
Total Authors : 23952
Total Reviewer : 831
Total Countries : 162
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | AI-Powered Next-Gen Hospital Management and Patient Care Ecosystem with Transparency, Predictive Analytics, and Telehealth Integration |
| Authors Name: | Narahari Vasanth Kumar , Nizampatnam Srinivasa Rao , Paluvadhi Bhuvanesh , Pasumarthi Jaswanth Ram , Mrs. Kota Divya Bharathi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_210475
|
| Published Paper Id: | IJRTI2604135 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | The rapid growth of the healthcare sector has exposed several limitations in traditional Hospital Management Systems (HMS), such as limited cost transparency, fragmented services, and minimal use of advanced technologies. To address these challenges, this project introduces an AI-powered Next-Generation Hospital Management and Patient Care Ecosystem designed to improve hospital operations and enhance the overall healthcare experience. The system integrates technologies such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and modern web technologies to create a unified digital healthcare platform. It manages key hospital functions including patient records, doctor scheduling, pharmacy inventory, and billing, while also providing real-time cost estimation to improve financial transparency for patients. Patients benefit from a more convenient and interactive healthcare experience through features like digital pre-visit forms, preparation checklists, AI-assisted lab result interpretation, real-time queue tracking, indoor navigation, and telehealth consultations. These tools help reduce waiting times and improve patient engagement. For clinicians, the platform offers mobile-friendly dashboards and AI-powered Clinical Decision Support, enabling drug interaction alerts, abnormal lab detection, and diagnostic suggestions. Secure communication tools also allow healthcare professionals to collaborate more effectively. Hospital administrators gain access to predictive analytics for patient flow forecasting, staff management, and resource allocation. The system also includes automated inventory management with AI-based reordering and supports FHIR-based interoperability for seamless integration with laboratories, insurers, and external healthcare providers. Overall, this ecosystem promotes transparency, efficiency, and patient-centered care, providing a modern digital solution that improves healthcare delivery and hospital management. |
| Keywords: | Hospital Management System (HMS), Artificial Intelligence in Healthcare, Predictive Analytics ,Telehealth Integration, Explainable AI (XAI) |
| Cite Article: | "AI-Powered Next-Gen Hospital Management and Patient Care Ecosystem with Transparency, Predictive Analytics, and Telehealth Integration", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b13-b15, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604135.pdf |
| Downloads: | 00029 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2604135
Registration ID:210475
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: b13-b15 Country: hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604135 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604135 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||