Trends and opportunities for integrated real time neonatal clinical decision support

Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics, BHI 2012

Volumn , Issue , 2012, Pages 687-690

  Bressan, Nadja ^a   James, Andrew ^b   McGregor, Carolyn ^a  

^a UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

^b HOSPITAL FOR SICK CHILDREN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTEMIS; CEREBRAL OXYGENATION; CLINICAL DECISION SUPPORT; CLINICAL DECISION SUPPORT SYSTEMS; CRITICAL PERIODS; DATA STREAM; INFUSION PUMP; NEONATAL INTENSIVE CARE UNITS; REAL TIME;

ARTIFICIAL INTELLIGENCE; BIOMEDICAL EQUIPMENT; BIOSENSORS; INTENSIVE CARE UNITS; OXYGENATION;

DECISION SUPPORT SYSTEMS;

EID: 84864188575     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BHI.2012.6211676     Document Type: Conference Paper

References (25)

1. C. McGregor, Methodologies for implementing clinical applications of complexity at the bedside, Journal of Critical Care, vol. 26, no. 3, pp e18, 2011.
2. K. Leeb, Jokovic A., Sandhu M., Zinck G., Intensive care in Canada., Healthc Q., vol.9(1), pp 32:33, 2006.
3. M. P. Griffin and J. R. Moorman, Toward the early diagnosis of neonatal sepsis and sepsis-like illness using novel heart rate analysis, Pediatrics, 2001.
4. N. McIntosh, Clinical diagnosis of pneumothorax is late: use of trend data and decision support might allow preclinical detection, Pediatric Research, vol. 48, no. 3, pp. 408-15, 2000.
5. J. Fabres, W. Carlo, and V. Phillips, Both extremes of arterial carbon dioxide pressure and the magnitude of fluctuations in arterial carbon dioxide pressure are associated with severe intraventricular hemorrhage in Preterm Infants, Pediatrics, vol. 119, no. 2, pp. 299-305, 2007.
6. V. Tuzcu, S. Nas, and U. Ulusar, Altered Heart Rhythm Dynamics in Very Low Birth Weight Infants With Impending Intraventricular Hemorrhage, Pediatrics, 2009.
7. S. Shankaran and J. Langer, Cumulative index of exposure to hypocarbia and hyperoxia as risk factors for periventricular leukomalacia in low birth weight infants, Pediatrics, 2006.
8. M. Blount, M. R. Ebling, J. M. Eklund, A. G. James, C. M. C. Gregor, N. Percival, K. P. Smith, D. Sow, Real-Time Analysis for Intensive Care: Development and Deployment of the Artemis Analytic System, IEEE Engineering in Medicine and Biology Magazine, vol.29(2), pp 110:118, 2010.
9. H.J. Niemarkt, P. Andriessen, J. Pasman, J.S. Vlesc, L.J. Zimmermann and S. Bambang Oetomo, Analyzing EEG maturation in preterm infants: The value of a quantitative approach, Journal of Neonatal-Perinatal Medicine, IOS Press, vol. 1, pp 131:144, 2008.
10. K. Schwaba, H. Skupinb, M. Eiselt, M. Walther, A. Voss, H. Witte, Coordination of the EEG and the heart rate of preterm neonates during quiet sleep, Neurosci Lett., Nov 20, vol. 465(3), pp 252:6, 2009.
11. V. Bernet, B. Latal, G. Natalucci, C. Doell, A. Ziegler, G. Wohlrab, Effect of sedation and analgesia on postoperative amplitude-integrated EEG in newborn cardiac patients, Pediatr Res., vol. 67(6), pp 650:5, 2010.
12. G.M.Hoffman, E.A.Stuth, R.J.Berens, F.A.Robertson, T.J. Troshynski, Two-Site Near-Infrared Transcutaneous Oximetry as a Non-Invasive Indicator of Mixed Venous Oxygen Saturation in Cardiac Neonates, Anesthesiology , A-1393, 2003.
13. G.M. Hoffman, N.S.Ghanayem, K.A. Mussatto, R.I. Berens, J.S. Tweddell., Postoperative two-site NIRS predicts complications and mortality after Stage 1 Palliation of HLHS, Anesthesiology A234-107, 2007.
14. P.M. Kirshbom, J.M. Forbess, B.E. Kogon, J.M. Simsic, D.W. Kim, A.A.Raviele, K.R.Kanter, R.N.Vicent, Cerebral near infrared spectroscopy is a reliable marker of systemic perfusion in awake single ventricle children, Pediatr Cardiol. vol 28(1), pp 42:5, 2007.
15. G. Menon, N. McIntosh, How Should We Manage Pain in Ventilated Neonates?, Neonatology, vol. 93, No. 4, 2008.
16. McGregor C., Catley C., James A., and Padbury J., Next Generation Neonatal Health Informatics with Artemis, in Medical Informatics Europe, pp. 115:119, 2011.
17. A. R. Absalom, D. Amutike, A. Lal et al, Accuracy of the Paedfusor in children undergoing cardiac surgery or catheterization, Br JAnaesth, vol.91, pp 507:513, 2003.
18. M. Mort, D. Goodwin, A.C. Smith, Safe asleep? Human-machine relations in medical practice, Social Science and Medicine, vol.61, pp 2027:2037, 2005.
19. T. De Smet, M.M.R.F. Struys, M.M. Neckebroek, S. Bonte, E.P. Mortier, The Accurancy and Clinical Feasibility of a New Bayesian-Based Closed-Loop Control System for Propofol Administration Using the Bispectral Index as a Controlled Variable, Anesthetic Pharmacology, vol.107, pp 1200:1210, 2008.
20. F.A. Lobo, A. Beiras, S. Seixas, F. Vasconcelos, P. Amorim, Allele Increases Propofol Requirements for Loss of Consciousness in Neurosurgical Patients, Anesthesiology, A13, 2008.
21. A.R. Absalom, N. Sutcliffe, G.N.Kenny, Closed-loop Control of Anesthesia Using Bispectral Index: Performance Assessment in Patients Undergoing Major Orthopedic Surgery under Combined General and Regional Anesthesia, Anesthesiology, vol. 96, pp 67:73, 2002.
22. N.Bressan, Integrated Anaesthesia Software: data acquisition, controlled infusion schemes and intelligent alarms (Ph.D. Dissertation). Porto, Portugal: Faculdade de Engenharia da Universidade do Porto, 2011.
23. T.N. Johnson, Modelling approaches to dose estimation in children, Br J Clin Pharmacol, vol.59(6), pp 663:669, 2005.
24. C. McGregor, C. Catley, A. James, A. Simplifying Complexity: Variability Analysis with Analytics Applied to Physiological Data Streams from the Neonatal Intensive Care Unit, Submitted for presentation at Annual Fall Symposium, AMIA (2011), Washington DC.
25. Lichtenbelt BJ, Olofsen E, Dahan A, van Kleef JW, Struys MM, Vuyk J., Propofol reduces the distribution and clearance of midazolam, Anesth Analg., vol.110(6), pp 1597:606, 2010.