Literature DB >> 25208675

Multimodality monitoring: informatics, integration data display and analysis.

J Michael Schmidt1, Michael De Georgia.   

Abstract

The goal of multimodality neuromonitoring is to provide continuous, real-time assessment of brain physiology to prevent, detect, and attenuate secondary brain injury. Clinical informatics deals with biomedical data, information, and knowledge including their acquisition, storage, retrieval, and optimal use for clinical decision-making. An electronic literature search was conducted for English language articles describing the use of informatics in the intensive care unit setting from January 1990 to August 2013. A total of 64 studies were included in this review. Clinical informatics infrastructure should be adopted that enables a wide range of linear and nonlinear analytical methods be applied to patient data. Specific time epochs of clinical interest should be reviewable. Analysis strategies of monitor alarms may help address alarm fatigue. Ergonomic data display that present results from analyses with clinical information in a sensible uncomplicated manner improve clinical decision-making. Collecting and archiving the highest resolution physiologic and phenotypic data in a comprehensive open format data warehouse is a crucial first step toward information management and two-way translational research for multimodality monitoring. The infrastructure required is largely the same as that needed for telemedicine intensive care applications, which under the right circumstances improves care quality while reducing cost.

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Year:  2014        PMID: 25208675     DOI: 10.1007/s12028-014-0037-1

Source DB:  PubMed          Journal:  Neurocrit Care        ISSN: 1541-6933            Impact factor:   3.210


  38 in total

1.  Detecting relationships between physiological variables using graphical models.

Authors:  Michael Imhoff; Ronald Fried; Ursula Gather
Journal:  Proc AMIA Symp       Date:  2002

Review 2.  Continuous EEG monitoring in the intensive care unit: technical and staffing considerations.

Authors:  Lewis L Kull; Ronald G Emerson
Journal:  J Clin Neurophysiol       Date:  2005-04       Impact factor: 2.177

Review 3.  Modelling biological complexity: a physical scientist's perspective.

Authors:  Peter V Coveney; Philip W Fowler
Journal:  J R Soc Interface       Date:  2005-09-22       Impact factor: 4.118

4.  The impact of anticipatory patient data displays on physician decision making: a pilot study.

Authors:  R B Elson; D P Connelly
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

5.  Heart rate variability and its determinants in patients with severe or mild essential hypertension.

Authors:  H Mussalo; E Vanninen; R Ikäheimo; T Laitinen; M Laakso; E Länsimies; J Hartikainen
Journal:  Clin Physiol       Date:  2001-09

6.  Gender- and age-related differences in heart rate dynamics: are women more complex than men?

Authors:  S M Ryan; A L Goldberger; S M Pincus; J Mietus; L A Lipsitz
Journal:  J Am Coll Cardiol       Date:  1994-12       Impact factor: 24.094

7.  Treatment of fever in the neurologic intensive care unit with a catheter-based heat exchange system.

Authors:  Michael N Diringer
Journal:  Crit Care Med       Date:  2004-02       Impact factor: 7.598

8.  Mild hypovolemic stress alters autonomic modulation of heart rate.

Authors:  J K Triedman; R J Cohen; J P Saul
Journal:  Hypertension       Date:  1993-02       Impact factor: 10.190

9.  Spectral analysis of fluctuations in heart rate: an objective evaluation of autonomic nervous control in chronic renal failure.

Authors:  S Axelrod; M Lishner; O Oz; J Bernheim; M Ravid
Journal:  Nephron       Date:  1987       Impact factor: 2.847

10.  Innovations in technology for critical care medicine.

Authors:  Martin Chapman; David Gattas; Ganesh Suntharalingam
Journal:  Crit Care       Date:  2004-03-08       Impact factor: 9.097

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  7 in total

1.  Novel displays of patient information in critical care settings: a systematic review.

Authors:  Rosalie G Waller; Melanie C Wright; Noa Segall; Paige Nesbitt; Thomas Reese; Damian Borbolla; Guilherme Del Fiol
Journal:  J Am Med Inform Assoc       Date:  2019-05-01       Impact factor: 4.497

2.  Prolonged Automated Robotic TCD Monitoring in Acute Severe TBI: Study Design and Rationale.

Authors:  Shraddha Mainali; Danilo Cardim; Aarti Sarwal; Lisa H Merck; Sharon D Yeatts; Marek Czosnyka; Lori Shutter
Journal:  Neurocrit Care       Date:  2022-04-06       Impact factor: 3.532

Review 3.  Brain Multimodality Monitoring: Updated Perspectives.

Authors:  David Roh; Soojin Park
Journal:  Curr Neurol Neurosci Rep       Date:  2016-06       Impact factor: 5.081

4.  "Usability of data integration and visualization software for multidisciplinary pediatric intensive care: a human factors approach to assessing technology".

Authors:  Ying Ling Lin; Anne-Marie Guerguerian; Jessica Tomasi; Peter Laussen; Patricia Trbovich
Journal:  BMC Med Inform Decis Mak       Date:  2017-08-14       Impact factor: 2.796

5.  Critical care information display approaches and design frameworks: A systematic review and meta-analysis.

Authors:  Melanie C Wright; Damian Borbolla; Rosalie G Waller; Guilherme Del Fiol; Thomas Reese; Paige Nesbitt; Noa Segall
Journal:  J Biomed Inform X       Date:  2019-06-22

Review 6.  How do we identify the crashing traumatic brain injury patient - the intensivist's view.

Authors:  Victoria A McCredie; Javier Chavarría; Andrew J Baker
Journal:  Curr Opin Crit Care       Date:  2021-06-01       Impact factor: 3.359

7.  Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals.

Authors:  Parikshat Sirpal; Rafat Damseh; Ke Peng; Dang Khoa Nguyen; Frédéric Lesage
Journal:  Neuroinformatics       Date:  2021-08-10
  7 in total

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