Literature DB >> 27388507

Temporal Informative Analysis in Smart-ICU Monitoring: M-HealthCare Perspective.

Munish Bhatia1, Sandeep K Sood2.   

Abstract

The rapid introduction of Internet of Things (IoT) Technology has boosted the service deliverance aspects of health sector in terms of m-health, and remote patient monitoring. IoT Technology is not only capable of sensing the acute details of sensitive events from wider perspectives, but it also provides a means to deliver services in time sensitive and efficient manner. Henceforth, IoT Technology has been efficiently adopted in different fields of the healthcare domain. In this paper, a framework for IoT based patient monitoring in Intensive Care Unit (ICU) is presented to enhance the deliverance of curative services. Though ICUs remained a center of attraction for high quality care among researchers, still number of studies have depicted the vulnerability to a patient's life during ICU stay. The work presented in this study addresses such concerns in terms of efficient monitoring of various events (and anomalies) with temporal associations, followed by time sensitive alert generation procedure. In order to validate the system, it was deployed in 3 ICU room facilities for 30 days in which nearly 81 patients were monitored during their ICU stay. The results obtained after implementation depicts that IoT equipped ICUs are more efficient in monitoring sensitive events as compared to manual monitoring and traditional Tele-ICU monitoring. Moreover, the adopted methodology for alert generation with information presentation further enhances the utility of the system.

Entities:  

Keywords:  ICU; Internet of things (IoT); M-Health; Remote patient monitoring; Temporal associative granulation (TAG)

Mesh:

Year:  2016        PMID: 27388507     DOI: 10.1007/s10916-016-0547-9

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  19 in total

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Review 2.  Medication errors in critical care: risk factors, prevention and disclosure.

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3.  Remote daily real-time monitoring in patients with COPD --a feasibility study using a novel device.

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Journal:  Respir Med       Date:  2009-04-16       Impact factor: 3.415

Review 4.  The economics and cost-effectiveness of critical care medicine.

Authors:  D B Chalfin; I L Cohen; J Lambrinos
Journal:  Intensive Care Med       Date:  1995-11       Impact factor: 17.440

5.  Motivation and job satisfaction of Tele-ICU nurses.

Authors:  Peter L T Hoonakker; Pascale Carayon; Kerry McGuire; Adjhaporn Khunlertkit; Douglas A Wiegmann; Bashar Alyousef; Anping Xie; Kenneth E Wood
Journal:  J Crit Care       Date:  2012-11-14       Impact factor: 3.425

Review 6.  E-health: transforming the physician/patient relationship.

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Journal:  Int J Med Inform       Date:  2001-04       Impact factor: 4.046

7.  A remote patient monitoring system using a Java-enabled 3G mobile phone.

Authors:  Pu Zhang; Yuichi Kogure; Hiroki Matsuoka; Masatake Akutagawa; Yohsuke Kinouchi; Qinyu Zhang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

8.  Association of telemedicine for remote monitoring of intensive care patients with mortality, complications, and length of stay.

Authors:  Eric J Thomas; Joseph F Lucke; Laura Wueste; Lisa Weavind; Bela Patel
Journal:  JAMA       Date:  2009-12-23       Impact factor: 56.272

9.  Major sources of critical incidents in intensive care.

Authors:  Ingeborg D Welters; James Gibson; Martin Mogk; Richard Wenstone
Journal:  Crit Care       Date:  2011-09-29       Impact factor: 9.097

10.  Designing Robust and Reliable Timestamps for Remote Patient Monitoring.

Authors:  Malcolm Clarke; Paul Schluter; Barry Reinhold; Brian Reinhold
Journal:  IEEE J Biomed Health Inform       Date:  2014-07-28       Impact factor: 5.772

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Authors:  Yousef Methkal Abd Algani; K Boopalan; G Elangovan; D Teja Santosh; K Chanthirasekaran; Indrajit Patra; N Pughazendi; B Kiranbala; R Nikitha; M Saranya
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3.  Enhancement of Neurocognitive Assessments Using Smartphone Capabilities: Systematic Review.

Authors:  John Michael Templeton; Christian Poellabauer; Sandra Schneider
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4.  A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment.

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Journal:  Pers Ubiquitous Comput       Date:  2020-11-16

5.  Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control.

Authors:  Munish Bhatia; Ankush Manocha; Tariq Ahamed Ahanger; Abdullah Alqahtani
Journal:  Artif Intell Med       Date:  2022-03-26       Impact factor: 7.011

6.  Wearable IoT sensor based healthcare system for identifying and controlling chikungunya virus.

Authors:  Sandeep K Sood; Isha Mahajan
Journal:  Comput Ind       Date:  2017-06-10       Impact factor: 7.635

7.  A Remote Patient-Monitoring System for Intensive Care Medicine: Mixed Methods Human-Centered Design and Usability Evaluation.

Authors:  Akira-Sebastian Poncette; Lina Katharina Mosch; Lars Stablo; Claudia Spies; Monique Schieler; Steffen Weber-Carstens; Markus A Feufel; Felix Balzer
Journal:  JMIR Hum Factors       Date:  2022-03-11

8.  A novel IoT-fog-cloud-based healthcare system for monitoring and predicting COVID-19 outspread.

Authors:  Tariq Ahamed Ahanger; Usman Tariq; Muneer Nusir; Abdulaziz Aldaej; Imdad Ullah; Abdullah Sulman
Journal:  J Supercomput       Date:  2021-06-21       Impact factor: 2.474

  8 in total

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