Literature DB >> 29635618

Medical Device Connectivity Challenges Outline the Technical Requirements and Standards For Promoting Big Data Research and Personalized Medicine in Neurocritical Care.

Anna Rodriguez1, Peter Smielewski2, Eric Rosenthal3, Dick Moberg1.   

Abstract

Brain injuries are complicated medical problems and their management requires data from disparate sources to extract actionable information. In neurocritical care, interoperability is lacking despite the perceived benefits. Several efforts have been underway, but none have been widely adopted, underscoring the difficulty of achieving this goal. We have identified the current pain points of data collection and integration based on the experience with two large multi-site clinical studies: Transforming Research And Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) in the United States and Collaborative European Neuro Trauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) in Europe. The variability of measurements across sites remains a barrier to uniform data collection. We found a need for annotation standards and for a standardized archive format for high-resolution data. Overall, the hidden cost for successful data collection was initially underestimated.Although the use of bedside data integration solutions, such as the Moberg's Component Neuromonitoring System (Moberg Research, Inc., Ambler, PA, USA) or ICM+ software (Cambridge Enterprise, Cambridge, UK), facilitated the homogenous collection of synchronized data, there remain issues that need to be addressed by the neurocritical care community. To this end, we have organized a Working Group on Neurocritical Care Informatics, whose next step is to create an overarching informatics framework that takes advantage of the collected information to answer scientific questions and to accelerate the translation of trial results to actions benefitting military medicine.

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Mesh:

Year:  2018        PMID: 29635618     DOI: 10.1093/milmed/usx146

Source DB:  PubMed          Journal:  Mil Med        ISSN: 0026-4075            Impact factor:   1.437


  3 in total

Review 1.  Big data and predictive analytics in neurocritical care.

Authors:  Ayham Alkhachroum; Julie Kromm; Michael A De Georgia
Journal:  Curr Neurol Neurosci Rep       Date:  2022-01-26       Impact factor: 5.081

Review 2.  Neurocritical Care: Bench to Bedside (Eds. Claude Hemphill, Michael James) Integrating and Using Big Data in Neurocritical Care.

Authors:  Brandon Foreman
Journal:  Neurotherapeutics       Date:  2020-04       Impact factor: 7.620

Review 3.  Challenges and Opportunities in Multimodal Monitoring and Data Analytics in Traumatic Brain Injury.

Authors:  Brandon Foreman; India A Lissak; Neha Kamireddi; Dick Moberg; Eric S Rosenthal
Journal:  Curr Neurol Neurosci Rep       Date:  2021-02-02       Impact factor: 5.081

  3 in total

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