Clinical decision support in physiological monitoring

Effective use of the information produced by current and future physiological sensors can be used to improve monitoring, diagnosis, and treatment of patients. The successful introduction of intelligent monitoring and automated control promises to harness this information to enhance safety, as it has in aviation. Intelligent data analysis requires a multifaceted approach. A range of techniques that include statistical characterisation, modelling, feature extraction, and prediction augmented with expert knowledge can be used to present the salient information and combine information from multiple sources. We present a collaborative effort to embrace intelligent monitoring and automated control for physiological monitoring.

[1]  S. Rivard,et al.  Getting physicians to accept new information technology: insights from case studies , 2006, Canadian Medical Association Journal.

[2]  M. Struys,et al.  Comparison of Closed-loop Controlled Administration of Propofol Using Bispectral Index as the Controlled Variable versus “Standard Practice” Controlled Administration , 2001, Anesthesiology.

[3]  D. Hoyt,et al.  Spectral analysis of heart rate variability in the ICU: a measure of autonomic function. , 1996, The Journal of surgical research.

[4]  P. Barralon,et al.  Optimizing the Tactile Display of Physiological Information: Vibro-Tactile vs. Electro-Tactile Stimulation, and Forearm or Wrist Location , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  D Young,et al.  Clinical trials of monitoring in anaesthesia, critical care and acute ward care: a review. , 2006, British journal of anaesthesia.

[6]  Guy Albert Dumont,et al.  Introduction to Automated Drug Delivery in Clinical Anesthesia , 2005, Eur. J. Control.

[7]  Ping Yang,et al.  Adaptive Change Detection in Heart Rate Trend Monitoring in Anesthetized Children , 2006, IEEE Transactions on Biomedical Engineering.

[8]  Guy D. Dumont,et al.  Continuous noninvasive blood pressure measurement by pulse transit time , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  J Mark Ansermino,et al.  A Novel Vibrotactile Display to Improve the Performance of Anesthesiologists in a Simulated Critical Incident , 2008, Anesthesia and analgesia.

[10]  C. Pope,et al.  Passing on tacit knowledge in anaesthesia: a qualitative study , 2003, Medical education.

[11]  Douglas G. Altman,et al.  BMC Medical Informatics and Decision Making , 2005 .

[12]  Sidney Fels,et al.  A framework for evaluating usability of clinical monitoring technology , 2007, Journal of Clinical Monitoring and Computing.

[13]  Craig B. Laramee,et al.  Intelligent Alarm Processing into Clinical Knowledge , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  G.A. Dumont,et al.  A wavelet approach to detecting electrocautery noise in the ECG , 2006, IEEE Engineering in Medicine and Biology Magazine.

[15]  Ping Yang,et al.  Adaptive Change Point Detection for Respiratory Variables , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[16]  Toward an advisory system for cesarean section spinal anesthesia , 2004, Proceedings of the 2004 American Control Conference.

[17]  Christine A. Vandebeek,et al.  Increased Tidal Volume Variability in Children is a Better Marker of Opioid-Induced Respiratory Depression than Decreased Respiratory Rate , 2003, Journal of Clinical Monitoring and Computing.

[18]  Michel Dojat,et al.  SmartCareTM-Automated Clinical Guidelines in Critical Care , 2004, ECAI.

[19]  G D Puri,et al.  Closed-Loop Anaesthesia Delivery System (CLADSTM) using Bispectral Index: A Performance Assessment Study , 2007, Anaesthesia and intensive care.

[20]  Kazuhiko Kudo,et al.  On-line neuro-expert monitoring system for Borssele Nuclear Power Plant , 2003 .

[21]  Christopher D. Wickens,et al.  On the Independence of Compliance and Reliance: Are Automation False Alarms Worse Than Misses? , 2007, Hum. Factors.

[22]  A. Møller,et al.  Pulse oximetry for perioperative monitoring: systematic review of randomized, controlled trials. , 2003 .

[23]  Nadine B. Sarter,et al.  Team Play with a Powerful and Independent Agent: Operational Experiences and Automation Surprises on the Airbus A-320 , 1997, Hum. Factors.

[24]  Sidney Fels,et al.  An Evaluation of a Vibro-Tactile Display Prototype for Physiological Monitoring , 2005, Anesthesia and analgesia.

[25]  G. Barnard.  Control Charts and Stochastic Processes , 1959 .

[26]  Thomas G. Cleaver,et al.  The Sounds of Saturation , 2004, Journal of Clinical Monitoring and Computing.

[27]  Luc Barvais,et al.  Titration of Propofol for Anesthetic Induction and Maintenance Guided by the Bispectral Index: Closed-loop versus Manual Control: A Prospective, Randomized, Multicenter Study , 2006, Anesthesiology.

[28]  R. Parasuraman.  Vigilance, monitoring, and search. , 1986 .

[29]  J. Ansermino,et al.  A Knowledge Authoring Tool for Clinical Decision Support , 2008, Journal of Clinical Monitoring and Computing.

[30]  Jonathan M. Teich,et al.  Grand challenges in clinical decision support , 2008, J. Biomed. Informatics.

[31]  Guy A. Dumont,et al.  Estimation of the anesthetic depth using wavelet analysis of electroencephalogram , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[32]  Giorgio Gallo,et al.  Directed Hypergraphs and Applications , 1993, Discret. Appl. Math..

[33]  Ping Yang,et al.  An Adaptive Cusum Test Based on a Hidden Semi-Markov Model for Change Detection in Non-invasive Mean Blood Pressure Trend , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[34]  M. Imhoff,et al.  Alarm Algorithms in Critical Care Monitoring , 2006, Anesthesia and analgesia.

[35]  Penelope M Sanderson,et al.  Advanced Auditory Displays and Head-Mounted Displays: Advantages and Disadvantages for Monitoring by the Distracted Anesthesiologist , 2008, Anesthesia and analgesia.

[36]  G. Dumont,et al.  Variation in Blood Pressure as a Guide to Volume Loading in Children Following Cardiopulmonary Bypass , 2007, Journal of Clinical Monitoring and Computing.