Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Patient-Generated EHR Input System Trials: An Analysis of Perceived Benefits Across a Range of Disease Groups Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

6. Monitoring Patients in a Comorbid Condition with the Aid of Computerized Decision Support System

verfasst von : Di Lin, Fabrice Labeau

Erschienen in: Concepts and Trends in Healthcare Information Systems

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this chapter, we present the detailed process to design a telecommunication and computer technology based platform for monitoring patients in the presence of a comorbid condition. Specifically, we take the monitoring of patients with both atrial fibrillation (AF) and Wolff Parkinsons White (WPW) as an example to clarify this process. As the core of this monitoring platform, a decision support system performs combining of guidelines for different diseases in view of the potential conflict occurring. We present the detailed process of designing this decision support system as well as its implementation. Finally, we analyze the system performance, including both system accuracy and the ability of a system to detect conflicts between different clinical guidelines. Specifically, we take into account the impact of both sensing errors and data entry errors on system performance.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Privacy-Preserving Access Control for PHR-Based Emergency Medical Systems
Nächstes Kapitel Critical Success Factors in the Implementation of Integrated Healthcare Information Systems
Literatur
Ayat M, Shamsollahi MB, Mozaffari B, Kharabian S (2009) ECG denoising using modulus maxima of wavelet transform. Conf Proc IEEE Eng Med Biol Soc 2009:416–419
Becher C, Chassin M (2001) Improving quality, minimizing error: making it happen. Health Aff 20:68–81CrossRef
Boyd CM, Darer J, Boult C, Fried LP, Boult L, Wu AW (2005) Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: implications for pay for performance. J Am Med Assoc 294:716–724CrossRef
Cattafi M, Gavanelli M, Nonato M, Alvisi S, Franchini M (2011) Optimal placement of valves in a water distribution network with CLP(FD). Theory Pract Log Program 11:731–747CrossRef
Deering R, Kaiser J (2005) The use of a masking signal to improve empirical mode decomposition. IEEE International conference on acoustics, speech, and signal processing, Durham, 485–488, 2005
Fengler BT, Brady WJ et al (2007) Atrial fibrillation in the Wolff-Parkinson-White syndrome: ECG recognition and treatment in the ED. Am J Emerg Med 25(5):576–583CrossRef
Fox J, Glasspool D, Patkar V, Austin M, Black L, South M, Robertson D, Vincent C. (2010) Delivering clinical decision support services: there is nothing as practical as a good theory. J Biomed Inform 43:831–843CrossRef
Hing MM, Michalowski M, Wilk S, Michalowski W, Farion K (2010) Identifying in- consistencies in multiple clinical practice guidelines for a patient with co-morbidity. In: Proceedings of KEDDH-10, Hong Kong, pp 447–452, 2010
Jinseok L, McManus DD et al (2012) Automatic motion and noise artifact detection in Holter ECG data using empirical mode decomposition and statistical approaches. IEEE Trans Biomed Eng 59(6):1499–1506CrossRef
Latoszek-Berendsen A, Tange H, van denHerik HJ, Hasman A (2010) From clinical practice guidelines to computer-interpretable guidelines. A literature overview. Methods Inf Med 49:550–570CrossRef
Lin Di, Xidong Z, Fabrice L, GuiXia K (2012) Analysis on the accuracy of a decision support system for hypertension monitoring. VTC Spring, 1–5
Lu G, Brittain JS, Holland P, Yianni J, Green AL, Stein JF, Aziz TZ, Wang S (2009) Removing ECG noise from surface EMG signals using adaptive filtering. Neurosci Lett 462(1):14–19CrossRef
Miyamoto A, Hayashi H et al (2012) Clinical and electrocardiographic characteristics of patients with short QT interval in a large hospital-based population. Heart Rhythm 9(1):66–74CrossRef
Nimunkar AJ, Tompkins WJ (2007) EMD-based 60-Hz noise filtering of the ECG. Conf Proc IEEE Eng Med Biol Soc 2007:1904–1907
Paul JS, Reddy MR, Kumar VJ (2000) A transform domain SVD filter for suppression of muscle noise artefacts in exercise ECGs. IEEE Trans Biomed Eng 47(5):654–663CrossRef
Riano D, Real F, Lopez-Vallverdu JA, Campana F, Ercolani S, Mecocci P, Annicchiarico R, Caltagirone C (2012) An ontology-based personalization of health-care knowledge to support clinical decisions for chronically ill patients. J Biomed Inform 45:429–446CrossRef
Sameni R, Shamsollahi MB, Jutten C, Clifford GD (2007) A nonlinear Bayesian filtering framework for ECG denoising. IEEE Trans Biomed Eng 54(12):2172–2185CrossRef
Sayadi O, Shamsollahi MB (2006) ECG denoising with adaptive bionic wavelet transform. Conf Proc IEEE Eng Med Biol Soc Suppl:6597–6600CrossRef
Skanes AC, Healey JS, Cairns JA, Dorian P, Gillis AM, McMurtry MS, Mitchell LB, Verma A, Nattel S (2012) Canadian cardiovascular society atrial fibrillation guidelines: recommendations for stroke prevention and rate/rhythm control. Can J Cardiol 28(2):25–136CrossRef
Wilk S, Michalowski M, Michalowski W, Mainegra Hing M, Farion K (2011) Reconciling pairs of concurrently used clinical practice guidelines using constraint logic programming. AMIA Annu Symp Proc 2011:944–953
Wu YF, Rangayyan RM (2007) An unbiased linear artificial neural network with normalized adaptive coefficients for filtering noisy ECG signals. Proceedings of 20th Canadian conference on electrical and computer engineering, Vancouver, 2007
Metadaten
Titel
Monitoring Patients in a Comorbid Condition with the Aid of Computerized Decision Support System
verfasst von
Di Lin
Fabrice Labeau
Copyright-Jahr
2014
Buch
Concepts and Trends in Healthcare Information Systems

Print ISBN: 978-3-319-06843-5

Electronic ISBN: 978-3-319-06844-2

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-319-06844-2_6

Premium Partner

    Bildnachweise