Real-time analytics and quality of care

Handbook of Systems and Complexity in Health

Volumn , Issue , 2013, Pages 495-519

  Peyton, Liam ^a   Mouttham, Alain ^a   Ali, Khaled A ^a   Baarah, Aladdin ^a   Mouftah, Hussein T ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84920878516     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-4998-0_30     Document Type: Chapter

References (44)

1. IEEE 802.15.4: Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (WPA), IEEE, October 2003
2. IEEE 802.15.4a: Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (WPA), IEEE, October 2007
3. Timmons N, Scanlon W. Analysis of the performance of IEEE 802.15.4 for medical sensor body area networking. In: IEEE Conference on Sensor and Ad Hoc Communications and Networks, p 16-24, October 2004.
4. Bannach D, Lukowicz P, Amft O. Rapid prototyping of activity recognition applications. IEEE Pervasive Computing. 2008;7(2): 22-31.
5. Webster JG (2009) Medical instrumentation: application and design, 4th Edn. Wiley. ISBN: 978-0-471-67600-3
6. Axisa F, Schmitt PM, Gehin C, Delhomme G, McAdams E, Dittmar A. Flexible technologies and smartclothing for citizen medicine, home healthcare, and disease prevention. IEEE Trans Inf Technol Biomed. 2005;9(3): 325-36.
7. Cleland JG, Louis AA, Rigby AS, Janssens U, Balk AH. Non-invasive home telemonitoring for patients with heart failure at high risk of recurrent admission and death. J Am Coll Cardiol. 2005;45(10): 1654-64.
8. Fulford-Jones T, Wei G, Welsh M. A Portable, Low-Power, Wireless Two-Lead EKG System. In Proceedings of the 26th IEEE EMBS Annual International Conference, San Francisco, September 2004.
9. Shaltis PA. A wearable blood pressure sensor using oscillometric photo-plethysmography and microaccelerometers, PhD Thesis, MIT, June 2007
10. Chiarugi F, Zacharioudakis G, Tsiknakis M, Thestrup J, Hansen KM, Antolin P, Melgosa JC, Rosengren P, Meadows J. Ambient Intelligence support for tomorrow's Health Care: Scenario-based requirements and architectural specifications of the EU-Domain platform. In: Proceedings of the International Special Topic Conference on Informational Technology in BioMedicine.
11. Otto C, Milenkovic A, Sanders C, Jovanov E. System architecture of a wireless body area sensor network forubiquitoushealthmonitoring. JMobile Multimedia. 2006;1(4): 307-26.
12. Jankowski S, Szymanski Z, Piatkowska-Janko E, Oreziak A. Improved recognition of sustained ventricular tachycardia from SAECG by Support Vector Machine. Anatolian J Cardiol. 2007;7 Suppl 1:112-5.
13. Bescos C, Harris M, Bover R, Schmidt R, Perez-Villacastin J. Decision support system for the practical implementation of the chronic heart failure guidelines: the MyHeart approach. Comput Cardiol. 2007;34:57-60.
14. Han J, Kamber M. Data mining: concepts and techniques (2nd Edition), Morgan Kaufmann 2006. ISBN1-55860-901-6
15. Gama J, Gaber M. Learning from data streams. Heidelberg: Springer; 2007. ISBN 3540736786.
16. Institute of Medicine. Crossing the quality chasm: a new health system for the twenty-first century. Washington, DC: National Academies Press; 2001.
17. Stetson PD, McKnight LK, Bakken S, Curran C, Kubose TT, Cimino JJ. Development of an ontology to model medical errors, information needs, and the clinical communication space. Proc AMIA Symp 2001. pp 672-676.
18. Bates DW. Getting in step: electronic health records and their role in care coordination. J Gen Intern Med. 2010;25(3): 174-6.
19. Reddy MC, Shabot MM, Bradner E. Evaluating collaborative features of critical care systems: a methodological study of information technology in surgical intensive care units. J Biomed Inform. 2008;41: 479-87.
20. Wetzstein B, Ma Z, Leymann F, Towards measuring key performance indicators of semantic business processes, lecture notes in business information processing, Springer, Vol 7, pp. 227-238, 2008
21. Krishnipillai A., Understanding Key Performance Indicators through Driver Measures, Masters Thesis, University of Ottawa, September 2009
22. Mouttham A, Peyton L, Kuziemsky C. Leveraging performance analytics to improve integration of care. Hawaii, US: Software Engineering in Healthcare; 2011.
23. Luckham D, The power of events: an introduction to complex event processing in distributed enterprise systems, Springer, 2002.
24. Wang G, Jin G, Research and design of RFID data processing model based on complex event processing. In: Proceedings of 2008 Intern'l Conference on Computer Science and Software Engineering, vol. 5, pp. 1396-1399, IEEE Society, Dec. 2008
25. Yao W, Chu C, Li Z. Leveraging complex event processing for smart hospitals using RFID. J Network Comput Appl. 2011;34(3): 799-810.
26. Dunkel J. On complex event processing for sensor networks. In: Intern'l Symposium on Autonomous Decentralized Systems (ISADS '09), pp. 1-6, 23-25 March 2009.
27. Lombriser C, Bharatula NB, Roggen D, Tröster G. On body activity recognition in a dynamic sensor network. In: Proceedings of the ICST 2nd international Conference on Body Area Networks, Florence, Italy, 2007.
28. Bucaille I, Tonnerre A, Ouvry L, and Denis B., MAC layer design for UWB LDR systems: PULSERS proposal, 4th Worksshop on Positioning, Navigation and Communication 2007 (WPNC '07), pages 277-2837, March 2007.
29. Otal B, Alonso L, Verikoukis C. Highly reliable energy-saving MAC for wireless body sensor networks in healthcare systems. IEEE J Select Areas Commun. 2009;27(4): 553-65.
30. Wang F, Liu S, Liu P, Bai Y. Bridging physical and virtual worlds: complex event processing for RFID data streams, 10th International conference on extending database technology (EDBT), Munich. Germany. 2006;3896:588-607.
31. Mouttham A, Peyton L, Eze B, El Saddik A. Eventdriven data integration for personal health monitoring. J Emerg Technol Web Intelligence. 2009;1(2): 110-8. doi:10.4304/jetwi.1.2.110-118.
32. Wilding H. Integrating care: from horizontal to vertical integration. J Integr Care. 2010;18(3): 15-20.
33. Van der Aalst W, Hofstede A, Weske M. Business process management: a survey. Lecture Notes in Computer Science. 2003;2678:1-12.
34. Pourshahid A, Amyot D, Peyton L, Ghanavati S, Chen P, Weiss M, Forster AJ. Business process management with the user requirements notation. Electron Commerce Res. 2009;9(4): 269-316.
35. Kang J, Han K, A Business Activity Monitoring System Supporting Real-Time Business Performance Management, Third International Conference on Convergence and Hybrid Information Technology (ICCIT '08), vol. 1, pp. 473-478, 11-13 Nov. 2008.
36. Middleton G, Peyton L, Kuziemsky C, Eze B, A framework for continuous compliance monitoring of eHealth processes, World Congress on Privacy, Security, Trust and the Management of Ebusiness, August, 2009
37. Ali KA, Saraker JH, Mouftah HT. QoS-based MAC Protocol for Medical Wireless Body Area Sensor Networks, 2010 IEEE Symposium on Computers and Communications (ISCC). pp 216-221, June 22-25, 2010, Riccione, Italy.
38. Ali KA, Saraker JH, Mouftah HT. Urgency-based MAC Protocol for Wireless Body Area Sensor Networks, 2010 IEEE Intern'l Conference on Communications Workshops (ICC). pp 1-6, May 23-27, 2010, Cape Town, South Africa
39. Bai Y, Wang F, and Liu P. Efficiently Filtering RFID Data Streams. In: First International VLDB workshop on Clean Databases, Seoul, Korea, pp. 50-57, 2006
40. Yao W, Chu C, Li L, and Mullen T, Leveraging Complex Event Processing for RFID Applications: A Case Study in Hospitals. In: 39th National Conference of Decision Sciences Institute, November 2008, Baltimore, MD., pp. 4341-4346
41. Kimball R, Ross M. The data warehouse toolkit. USA: Wiley; 2002.
42. Ontario Ministry of Health and Long-Term care (MOHLTC) web site on ED Process Improvement Program: http://www.patientflowtoolkit.ca/AboutPIP.htm (last accessed Oct 26th, 2011)
43. Mirdamadi S, Fontanili F, Dupont L. Discrete event simulation-based real-time shop floor control. In: Proceedings 21st European Conference on Modeling and Simulation, ECMS 2007
44. Baarah A, Mouttham A, Peyton L. Improving cardiac patient flow based on complex event processing, 2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, Amman, Jordan, December 2011