AI-based geriatric care management system for achieving smart health (Record no. 3382)

MARC details
000 -LEADER
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817162000.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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035 ## - SYSTEM CONTROL NUMBER
System control number .b12500914
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT RSPR no.RS-25-01
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Jayanth, Dharavath
245 10 - TITLE STATEMENT
Title AI-based geriatric care management system for achieving smart health
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent 134 leaves :
Other physical details ill.+
Accompanying material 1 online resource
490 1# - SERIES STATEMENT
Series statement Research studies project report ; no. RS-25-01
500 ## - GENERAL NOTE
General note A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems
502 ## - DISSERTATION NOTE
Dissertation note Research Studies Project Report (M.Eng.) - Asian Institute of Technology, 2025
520 ## - SUMMARY, ETC.
Summary, etc. As global populations age at an accelerating rate, healthcare systems face increasing pressure to deliver accessible, efficient, and timely care to elderly individuals. Traditional caregiving models, often reliant on a younger workforce, are becoming increasingly unsustainable due to demographic shifts and resource limitations, resulting in delayed interventions, reduced in home support, and slower emergency responses. This research presents the Intelligent Geriatric Care Management System a real-time AI-powered platform that integrates simulated IoMT sensor data with advanced analytics to support proactive, continuous health management. The system continuously collects vital signs including heart rate, blood pressure, and SpO₂ from sensor-based streams, processes them for anomaly detection, and applies predictive assessment to identify early indicators of potential health deterioration. Its architecture combines a conversational AI assistant, powered by OpenAI{u2019}s GPT and Anthropic{u2019}s Claude, for personalized health interpretation; a real-time alert mechanism that issues voice prompts and escalates to emergency email notifications when abnormal readings are detected; and a monthly reporting module that generates AI-enhanced summaries and visual trend charts for long-term health tracking. By uniting continuous sensor-based monitoring with adaptive AI-driven interaction, I-GCMS delivers a scalable, automated, and personalized solution that bridges the gap between routine health tracking and timely intervention. This integration not only enhances safety and awareness for elderly users but also demonstrates how emerging AI and IoMT technologies can work together to strengthen preventive healthcare models in real-world community and home settings.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
General subdivision Medical applications
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medical care
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Sarawut Ninsawat,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tripathi, Nitin Kumar,
Relator term Co-chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Virdis, Salvatore G.P.,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Sanit Arunplod,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element AIT Fellowship,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Research studies project report ; no. RS-25-01
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B24012">http://203.159.5.9/ait-thesis/detail.php?q=B24012</a>
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a .b12500914
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902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 260430
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 260429
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 67-Electronic Resource
909 ## - LOCAL ITEMS USED
Barcode Barcode : -
CREATED CREATED : 2026-04-27
RECORD Id RECORD # : i13597851
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT RSPR no.RS-25-01 17/08/2026 1 17/08/2026 67-Electronic Resource
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