Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score

Early warning score (EWS) is an approach to detect the deterioration of a patient. It is based on a fact that there are several changes in the physiological parameters prior a clinical deterioration of a patient. Currently, EWS procedure is mostly used for in-hospital clinical cases and is performed in a manual paper-based fashion. In this paper, we propose an automated EWS health monitoring system to intelligently monitor vital signs and prevent health deterioration for in-home patients using Internet-of-Things (IoT) technologies. IoT enables our solution to provide a real-time 24/7 service for health professionals to remotely monitor in-home patients via Internet and receive notifications in case of emergency. We also demonstrate a proof-of-concept EWS system where continuous reading, transferring, recording, and processing of vital signs have been implemented.

[1]  D. Atkinson,et al.  Nursing observation and assessment of patients in the acute medical unit , 2013 .

[2]  C. Sprung,et al.  Clinical antecedents to in-hospital cardiopulmonary arrest. , 1990, Chest.

[3]  C. Franklin,et al.  Developing strategies to prevent inhospital cardiac arrest: Analyzing responses of physicians and nurses in the hours before the event , 1994, Critical care medicine.

[4]  U. Kyriacos,et al.  Monitoring Vital Signs: Development of a Modified Early Warning Scoring (Mews) System for General Wards in a Developing Country , 2014, PloS one.

[5]  J. McGaughey,et al.  Outreach and Early Warning Systems (EWS) for the prevention of intensive care admission and death of critically ill adult patients on general hospital wards. , 2007, The Cochrane database of systematic reviews.

[6]  John O'Donoghue,et al.  Features of electronic Early Warning systems which impact clinical decision making , 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

[7]  U. Kyriacos,et al.  Monitoring vital signs using early warning scoring systems: a review of the literature. , 2011, Journal of nursing management.

[8]  Rinaldo Bellomo,et al.  Well-implemented Early Warning Scores can help Rapid Response Teams in improving outcomes The intersection of deteriorating patients, Early Warning Scores, Rapid Response Teams and new monitoring technology , 2012 .

[9]  John O'Donoghue,et al.  MEWS to e-MEWS: from a paper based to a clinical decision support system , 2012 .

[10]  George Pallis,et al.  Opportunities and challenges of the Internet of Things for healthcare: Systems engineering perspective , 2014, 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH).

[11]  R. Paterson,et al.  Prediction of in-hospital mortality and length of stay using an early warning scoring system: clinical audit. , 2006, Clinical medicine.

[12]  O. Omeni,et al.  Energy Efficient Medium Access Protocol for Wireless Medical Body Area Sensor Networks , 2007 .

[13]  G. Barlow,et al.  Standardised early warning scoring system. , 2006, Clinical medicine.

[14]  Jennifer Hill,et al.  A review of rapid response team activation parameters in New Zealand hospitals. , 2013, Resuscitation.

[15]  Daphne Georgaka,et al.  Early Warning Systems , 2012 .

[16]  Robert S. H. Istepanian,et al.  Internet of m-health Things “m-IoT” , 2011 .

[17]  R. Morgan,et al.  An early warning scoring system for detecting developing critical illness , 1997 .