Call for Paper - March 2023 Edition
IJCA solicits original research papers for the March 2023 Edition. Last date of manuscript submission is February 20, 2023. Read More

A Tablet PC based System for Ubiquitous Patient Monitoring and Smart Alert Generation in an Intensive Care Unit

Print
PDF
International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 67 - Number 6
Year of Publication: 2013
Authors:
Joms Antony
10.5120/11396-6699

Joms Antony. Article: A Tablet PC based System for Ubiquitous Patient Monitoring and Smart Alert Generation in an Intensive Care Unit. International Journal of Computer Applications 67(6):1-6, April 2013. Full text available. BibTeX

@article{key:article,
	author = {Joms Antony},
	title = {Article: A Tablet PC based System for Ubiquitous Patient Monitoring and Smart Alert Generation in an Intensive Care Unit},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {67},
	number = {6},
	pages = {1-6},
	month = {April},
	note = {Full text available}
}

Abstract

Providing critical care to patients admitted to an ICU is a very important aspect in healthcare. This requires mechanisms for ubiquitous monitoring and smart alert generation systems. The conventional systems in many hospitals are not able to cope up with this requirement. So that medication and other required actions will be getting delayed making life difficult for a patient. These issues can be addressed by implementing a Tablet PC based system focussed on ICU based work flows. Designing and developing of Apps can provide better solutions for clinical data entry, patient monitoring and meaningful alert generation. The clinical data entry can be made easier with the help of a Tablet PC which offers a number of possibilities for organised data entry. Once the data becomes available; forms, charts, graphs etc can be generated easily without much manual intervention. Interfacing bed side monitors to the central server can provide automated and ubiquitous solutions for monitoring and analysis of patient data . Another important aspect is the way in which alert generation is made. In existing systems alerts are generated based on hard limits set by the clinical staff. There is a need to develop a more comprehensive system that holistically looks at all available information about the situation before generating an alert. Towards this, it should continuously monitor all vital signals available and evaluate the cross functional effects between them before arriving at the seriousness of the conditions leading to more meaningful alerts.

References

  • Thongpithoonrat, Pongnarin; McKneely, Paul K. ; Gumudavelli, Suman; Gurkan, D. ; Chapman, Frank M. Networking and plug-and-play of bedside medical instruments. EMBS 2008; 1514 - 1517
  • Mengling Feng; Zhuo Zhang; Feng Zhang; Yu Ge; Liang Yu Loy; Vellaisamy, K. ; Wenyuan Guo; Pei Loon Chin; King, N. K. K. ; Beng Ti Ang; Cuntai Guan. iSyNCC: An intelligent system for patient monitoring and clinical decision support in Neuro-Critical-Care. IEMBS 2011; 6426 - 6429
  • Nahm R, Poston I. Measurement of the effects of an integrated, point-of-care computer system on quality of nursing documentation and patient satisfaction. Comput Nurs 2000; 18:220229.
  • Bosman RJ, Rood E, Oudemans-van Straaten HM, Van der Spoel JI, Wester JP, Zandstra DF. Intensive care information system reduces documentation time of the nurses after cardiothoracic surgery. Intensive Care Med. 2003; 29:83-90.
  • Joon Lee; Scott, D. J. ; Villarroel, M. ; Clifford, G. D. ; Saeed, M. ; Mark, R. G. Open-access MIMIC-II database for intensive care research. EMBC 2011 : 8315 8318
  • Apkon M, Singhaviranon P. Impact of an electronic information system on physician workflow and data collection in the intensive care unit. Intensive Care Med 2000; 27: 122130. 11.
  • Insup Lee, Oleg Sokolsky, Sanjian Chen. Challenges and Research Directions in Medical Cyber-Physical Systems. Invited Paper in Special Issue on Cyber-Physical Systems, Proceedings of the IEEE, vol. 100, no. 1, pp. 75-90, Jan. 2012.
  • Shashi Gunawardane, Ravindra Koggalage, Ranga Rodrigo, Senaka Rajapakse. A Computer-Based ICU Patient Alert And Decision Support System. SLJCC , 2009, vol 1, 35-41.
  • M. Borowski, M. Gorges, R. Fried, O. Such, C. Wrede, and M. Imhoff. Medical device alarms. Biomed Tech, 56:7383, 2011.
  • S. Park, A. Roederer, R. Mani, S. Schmitt, P. D. LeRoux, L. H. Ungar, I. Lee, and S. E. Kasner. Limitations of thresholdbased brain oxygen monitoring for seizure detection. Neurocritical Care, April 2011.
  • Fortier, P. ; Jagannathan, S. ; Michel, H. ; Dluhy, N. ; Oneill, E. Development of a hand-held real-time decision support aid for critical care nursing. HICSS 2003
  • Yi Mao; Yixin Chen; Hackmann, G. ; Minmin Chen; Chenyang Lu; Kollef, M. ; Bailey, T. C. Medical Data Mining for Early Deterioration Warning in General Hospital Wards. ICDMW, 2011; 1042 - 1049
  • Russell, L. ; Steele, A. L. ; Goubran, R. Low-cost, rapid prototyping of IMU and pressure monitoring system using an open source hardware design I2MTC, 2012; 269-2699