Abstract
In this chapter, we discuss challenges to standardizing data acquisition and interoperability in the neurocritical care realm. Currently, neurocritical care practitioners are limited in the scope and depth of the data that can be acquired and analyzed in real time or retrospectively because the devices, equipment, and applications are not well integrated or designed for those purposes. We provide a brief background pertinent to critical care data standards and an overview of the current “state of the art.” Specifically, we summarize the current data standards—both formally defined and de facto—as well as provide an overview of the software and hardware interfaces typically found on critical care instrumentation. Next, we discuss the challenges that must be overcome to provide hardware and software interoperability within neurocritical care facilities. Finally, we provide examples of successful standards development and deployment in other fields with suggestions for neurocritical care practitioners to adopt into their current workflow. Overcoming the challenges to interoperability of medical devices will help to expand the diagnostic and prognostic tools available in neurocritical care.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
HIMSS. iHIT study—final report. https://www.himss.org/library/clinical-informatics/2013-ihit-studyfull-report (2013).
Goldman JM, Schrenker RA, Jackson JL, Whitehead SF. Plug-and-play in the operating room of the future. Biomed Instrum Technol. 2005;39(3):194–9.
Kemp B. SignalML from an EDF+ perspective. Comput Methods Programs Biomed. 2004;76(3):261–3. https://doi.org/10.1016/j.cmpb.2004.05.008.
Kemp B, Olivan J. European data format ‘plus’ (EDF+), an EDF alike standard format for the exchange of physiological data. Clin Neurophysiol. 2003;114(9):1755–61.
Kemp B, Varri A, Rosa AC, Nielsen KD, Gade J. A simple format for exchange of digitized polygraphic recordings. Electroencephalogr Clin Neurophysiol. 1992;82(5):391–3.
Bidgood WD Jr, Horii SC, Prior FW, Van Syckle DE. Understanding and using DICOM, the data interchange standard for biomedical imaging. J Am Med Inform Assoc. 1997;4(3):199–212.
Graham RN, Perriss RW, Scarsbrook AF. DICOM demystified: a review of digital file formats and their use in radiological practice. Clin Radiol. 2005;60(11):1133–40. https://doi.org/10.1016/j.crad.2005.07.003.
Wang Y, Best DE, Hoffman JG, Horii SC, Lehr JL, Lodwick GS, Morse RR, Murphy LL, Nelson OL, Perry J, et al. ACR-NEMA digital imaging and communications standards: minimum requirements. Radiology. 1988;166(2):529–32. https://doi.org/10.1148/radiology.166.2.3336730.
Dougherty MT, Folk MJ, Zadok E, Bernstein HJ, Bernstein FC, Eliceiri KW, Benger W, Best C. Unifying biological image formats with HDF5. Commun ACM. 2009;52(10):42–7. https://doi.org/10.1145/1562764.1562781.
Mason CE, Zumbo P, Sanders S, Folk M, Robinson D, Aydt R, Gollery M, Welsh M, Olson NE, Smith TM. Standardizing the next generation of bioinformatics software development with BioHDF (HDF5). Adv Exp Med Biol. 2010;680:693–700. https://doi.org/10.1007/978-1-4419-5913-3_77.
Chesnut RM, Temkin N, Carney N, Dikmen S, Rondina C, Videtta W, Petroni G, Lujan S, Pridgeon J, Barber J, Machamer J, Chaddock K, Celix JM, Cherner M, Hendrix T, Global Neurotrauma Research G. A trial of intracranial-pressure monitoring in traumatic brain injury. N Engl J Med. 2012;367(26):2471–81. https://doi.org/10.1056/NEJMoa1207363.
Clarke M, Bogia D, Hassing K, Steubesand L, Chan T, Ayyagari D. Developing a standard for personal health devices based on 11073. Conf Proc IEEE Eng Med Biol Soc. 2007;2007:6175–7. https://doi.org/10.1109/IEMBS.2007.4353764.
Benjamin DM. Reducing medication errors and increasing patient safety: case studies in clinical pharmacology. J Clin Pharmacol. 2003;43(7):768–83.
Eichhorn JH. Prevention of intraoperative anesthesia accidents and related severe injury through safety monitoring. Anesthesiology. 1989;70(4):572–7.
Etches RC. Respiratory depression associated with patient-controlled analgesia: a review of eight cases. Can J Anaesth. 1994;41(2):125–32. https://doi.org/10.1007/BF03009805.
White PF. Mishaps with patient-controlled analgesia. Anesthesiology. 1987;66(1):81–3.
Bezroukov N. Open source software development as a special type of academic research: critique of vulgar Raymondism. First Monday. 1999;4(10)
Raymond ES. The cathedral & the bazaar. Sebastopol, CA: O’Reilly Media Inc.; 2001.
Jurney R. Agile data science. 1st ed. Sebastopol, CA: O’Reilly Media Inc.; 2013.
O’Neil C, Schutt R. Doing data science: straight talk from the frontline. 1st ed. Sebastopol, CA: O’Reilly Media Inc.; 2013.
Acknowledgment
The authors would like to thank Jan Wittenber for his thoughtful review and comments to this chapter.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer-Verlag GmbH Germany
About this chapter
Cite this chapter
Moberg, R., Wilson, C.G., Goldstein, R. (2020). Data Standards, Device Interfaces, and Interoperability. In: De Georgia, M., Loparo, K. (eds) Neurocritical Care Informatics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59307-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-662-59307-3_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-59305-9
Online ISBN: 978-3-662-59307-3
eBook Packages: MedicineMedicine (R0)