Literature DB >> 27437048

Guiding Principles for a Pediatric Neurology ICU (neuroPICU) Bedside Multimodal Monitor: Findings from an International Working Group.

Zachary M Grinspan1, Yonina C Eldar2, Daniel Gopher3, Amihai Gottlieb3, Rotem Lammfromm3, Halinder S Mangat4, Nimrod Peleg2, Steven Pon5, Igal Rozenberg2, Nicholas D Schiff6, David E Stark7, Peter Yan4, Hillel Pratt8, Barry E Kosofsky9.   

Abstract

BACKGROUND: Physicians caring for children with serious acute neurologic disease must process overwhelming amounts of physiological and medical information. Strategies to optimize real time display of this information are understudied.
OBJECTIVES: Our goal was to engage clinical and engineering experts to develop guiding principles for creating a pediatric neurology intensive care unit (neuroPICU) monitor that integrates and displays data from multiple sources in an intuitive and informative manner.
METHODS: To accomplish this goal, an international group of physicians and engineers communicated regularly for one year. We integrated findings from clinical observations, interviews, a survey, signal processing, and visualization exercises to develop a concept for a neuroPICU display.
RESULTS: Key conclusions from our efforts include: (1) A neuroPICU display should support (a) rapid review of retrospective time series (i.e. cardiac, pulmonary, and neurologic physiology data), (b) rapidly modifiable formats for viewing that data according to the specialty of the reviewer, and (c) communication of the degree of risk of clinical decline. (2) Specialized visualizations of physiologic parameters can highlight abnormalities in multivariable temporal data. Examples include 3-D stacked spider plots and color coded time series plots. (3) Visual summaries of EEG with spectral tools (i.e. hemispheric asymmetry and median power) can highlight seizures via patient-specific "fingerprints." (4) Intuitive displays should emphasize subsets of physiology and processed EEG data to provide a rapid gestalt of the current status and medical stability of a patient.
CONCLUSIONS: A well-designed neuroPICU display must present multiple datasets in dynamic, flexible, and informative views to accommodate clinicians from multiple disciplines in a variety of clinical scenarios.

Entities:  

Keywords:  Pediatric intensive care units [N02.278.388.493.390]; biomedical engineering [H02.070]; data display [F02.784.412.221]; informatics [L01.313]; neurology [H02.403.600]

Mesh:

Year:  2016        PMID: 27437048      PMCID: PMC4941847          DOI: 10.4338/ACI-2015-12-RA-0177

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  29 in total

1.  Quantitative EEG analysis for automated detection of nonconvulsive seizures in intensive care units.

Authors:  J Chris Sackellares; Deng-Shan Shiau; Jonathon J Halford; Suzette M LaRoche; Kevin M Kelly
Journal:  Epilepsy Behav       Date:  2011-12       Impact factor: 2.937

Review 2.  Graphical displays: implications for divided attention, focused attention, and problem solving.

Authors:  K B Bennett; J M Flach
Journal:  Hum Factors       Date:  1992-10       Impact factor: 2.888

Review 3.  The right picture is worth a thousand numbers: data displays in anesthesia.

Authors:  Frank A Drews; Dwayne R Westenskow
Journal:  Hum Factors       Date:  2006       Impact factor: 2.888

4.  Joint commission warns of alarm fatigue: multitude of alarms from monitoring devices problematic.

Authors:  Mike Mitka
Journal:  JAMA       Date:  2013-06-12       Impact factor: 56.272

5.  Emerging subspecialties in neurology: building a career and a field: pediatric neurocritical care.

Authors:  Kerri L LaRovere; James J Riviello
Journal:  Neurology       Date:  2008-05-27       Impact factor: 9.910

Review 6.  Multimodal monitoring and neurocritical care bioinformatics.

Authors:  J Claude Hemphill; Peter Andrews; Michael De Georgia
Journal:  Nat Rev Neurol       Date:  2011-07-12       Impact factor: 42.937

7.  Guidelines for the acute medical management of severe traumatic brain injury in infants, children, and adolescents--second edition.

Authors:  Patrick M Kochanek; Nancy Carney; P David Adelson; Stephen Ashwal; Michael J Bell; Susan Bratton; Susan Carson; Randall M Chesnut; Jamshid Ghajar; Brahm Goldstein; Gerald A Grant; Niranjan Kissoon; Kimberly Peterson; Nathan R Selden; Robert C Tasker; Karen A Tong; Monica S Vavilala; Mark S Wainwright; Craig R Warden
Journal:  Pediatr Crit Care Med       Date:  2012-01       Impact factor: 3.624

8.  Seizure detection using digital trend analysis: Factors affecting utility.

Authors:  Cigdem I Akman; Vesna Micic; Anita Thompson; James J Riviello
Journal:  Epilepsy Res       Date:  2010-12-10       Impact factor: 3.045

9.  PRISM III: an updated Pediatric Risk of Mortality score.

Authors:  M M Pollack; K M Patel; U E Ruttimann
Journal:  Crit Care Med       Date:  1996-05       Impact factor: 7.598

10.  Relationship of aggressive monitoring and treatment to improved outcomes in severe traumatic brain injury.

Authors:  Sherman C Stein; Patrick Georgoff; Sudha Meghan; Kasim L Mirza; Omar M El Falaky
Journal:  J Neurosurg       Date:  2010-05       Impact factor: 5.115

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  4 in total

1.  Toward Designing Information Display to Support Critical Care. A Qualitative Contextual Evaluation and Visioning Effort.

Authors:  Melanie C Wright; Sherry Dunbar; Brekk C Macpherson; Eugene W Moretti; Guillherme Del Fiol; Jean Bolte; Jeffrey M Taekman; Noa Segall
Journal:  Appl Clin Inform       Date:  2016-10-05       Impact factor: 2.342

2.  Usability and Acceptability of Clinical Decision Support Based on the KIIDS-TBI Tool for Children with Mild Traumatic Brain Injuries and Intracranial Injuries.

Authors:  Jacob K Greenberg; Ayodamola Otun; Pyi Theim Kyaw; Christopher R Carpenter; Ross C Brownson; Nathan Kuppermann; David D Limbrick; Randi E Foraker; Po-Yin Yen
Journal:  Appl Clin Inform       Date:  2022-04-27       Impact factor: 2.342

3.  Clinician-Driven Design of VitalPAD-An Intelligent Monitoring and Communication Device to Improve Patient Safety in the Intensive Care Unit.

Authors:  Luisa Flohr; Shaylene Beaudry; K Taneille Johnson; Nicholas West; Catherine M Burns; J Mark Ansermino; Guy A Dumont; David Wensley; Peter Skippen; Matthias Gorges
Journal:  IEEE J Transl Eng Health Med       Date:  2018-03-05       Impact factor: 3.316

4.  Impact of Patient Census and Admission Mortality on Pediatric Intensive Care Unit Attending Electronic Health Record Activity: A Preliminary Study.

Authors:  Conrad Krawiec; Christy Stetter; Lan Kong; Paul Haidet
Journal:  Appl Clin Inform       Date:  2020-03-25       Impact factor: 2.342

  4 in total

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