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Multimodality Monitoring: Informatics, Integration Data Display and Analysis

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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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References

  1. Bellazzi R, Diomidous M, Sarkar IN, Takabayashi K, Ziegler A, McCray AT. Data analysis and data mining: current issues in biomedical informatics. Methods Inf Med. 2011;50:536–44.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  2. Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Annf Intern Med. 2009;151:W-65–94.

    Google Scholar 

  3. Buchman TG. Novel representation of physiologic states during critical illness and recovery. Crit Care. 2010;14:127.

    Article  PubMed Central  PubMed  Google Scholar 

  4. Medical devices landscape: current and future adoption, integration with EMRs, and connectivity. 2010. (Accessed June 6, 2013, at www.himssanalytics.org/docs/medicaldevices_landscape).

  5. Chelico J, PhD A, Wajngurt D. Architectural design of a data warehouse to support operational and analytical queries across disparate clinical databases. 2007. p. 901.

  6. Martich G, Waldmann C, Imhoff M. Clinical informatics in critical care. J Intensiv Care Med. 2004;19:154.

    Article  Google Scholar 

  7. Chou D, Sengupta S. Infrastructure and security. Burlington: Academic Press; 2008.

    Google Scholar 

  8. Kull L, Emerson R. Continuous EEG monitoring in the intensive care unit: technical and staffing considerations. J Clin Neurophysiol. 2005;22:107–18.

    Article  PubMed  Google Scholar 

  9. Signorini DF, Piper IR, Jones PA, Howells TP. Importance of textual data in multimodality monitoring. Crit Care Med. 1997;25:2048–50.

    Article  CAS  PubMed  Google Scholar 

  10. Diringer MN. Treatment of fever in the neurologic intensive care unit with a catheter-based heat exchange system. Crit Care Med. 2004;32:559–64.

    Article  PubMed  Google Scholar 

  11. Diedler J, Sykora M, Rupp A, et al. Impaired cerebral vasomotor activity in spontaneous intracerebral hemorrhage. Stroke. 2009;40:815–9.

    Article  PubMed  Google Scholar 

  12. Steiner LA, Czosnyka M, Piechnik SK, et al. Continuous monitoring of cerebrovascular pressure reactivity allows determination of optimal cerebral perfusion pressure in patients with traumatic brain injury. Crit Care Med. 2002;30:733–8.

    Article  PubMed  Google Scholar 

  13. Goldberger AL. Applications of chaos to physiology and medicine. In: Kim JH, Stringer J, editors. Applied chaos. New York: Wiley; 1992. p. 321–31.

    Google Scholar 

  14. Kleiger RE, Miller JP, Bigger JT Jr, Moss AJ. Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am J Cardiol. 1987;59:256–62.

    Article  CAS  PubMed  Google Scholar 

  15. Szabo BM, van Veldhuisen DJ, van der Veer N, Brouwer J, De Graeff PA, Crijns HJ. Prognostic value of heart rate variability in chronic congestive heart failure secondary to idiopathic or ischemic dilated cardiomyopathy. Am J Cardiol. 1997;79:978–80.

    Article  CAS  PubMed  Google Scholar 

  16. Kirkness CJ, Burr RL, Mitchell PH. Intracranial pressure variability and long-term outcome following traumatic brain injury. Acta Neurochir Suppl. 2008;102:105–8.

    Article  PubMed  Google Scholar 

  17. Triedman JK, Cohen RJ, Saul JP. Mild hypovolemic stress alters autonomic modulation of heart rate. Hypertension. 1993;21:236–47.

    Article  CAS  PubMed  Google Scholar 

  18. Mussalo H, Vanninen E, Ikaheimo R, et al. Heart rate variability and its determinants in patients with severe or mild essential hypertension. Clin Physiol. 2001;21:594–604.

    Article  CAS  PubMed  Google Scholar 

  19. van Boven AJ, Jukema JW, Haaksma J, Zwinderman AH, Crijns HJ, Lie KI. Depressed heart rate variability is associated with events in patients with stable coronary artery disease and preserved left ventricular function. REGRESS Study Group. Am Heart J. 1998;135:571–6.

    Article  PubMed  Google Scholar 

  20. Axelrod S, Lishner M, Oz O, Bernheim J, Ravid M. Spectral analysis of fluctuations in heart rate: an objective evaluation of autonomic nervous control in chronic renal failure. Nephron. 1987;45:202–6.

    Article  CAS  PubMed  Google Scholar 

  21. Toweill DL, Kovarik WD, Carr R, et al. Linear and nonlinear analysis of heart rate variability during propofol anesthesia for short-duration procedures in children. Pediatr Crit Care Med. 2003;4:308–14.

    Article  PubMed  Google Scholar 

  22. Ryan SM, Goldberger AL, Pincus SM, Mietus J, Lipsitz LA. Gender- and age-related differences in heart rate dynamics: are women more complex than men? J Am Coll Cardiol. 1994;24:1700–7.

    Article  CAS  PubMed  Google Scholar 

  23. Vikman S, Makikallio TH, Yli-Mayry S, et al. Altered complexity and correlation properties of R-R interval dynamics before the spontaneous onset of paroxysmal atrial fibrillation. Circulation. 1999;100:2079–84.

    Article  CAS  PubMed  Google Scholar 

  24. Hornero R, Aboy M, Abasolo D, McNames J, Goldstein B. Interpretation of approximate entropy: analysis of intracranial pressure approximate entropy during acute intracranial hypertension. IEEE Trans Biomed Eng. 2005;52:1671–80.

    Article  PubMed  Google Scholar 

  25. Papaioannou VE, Maglaveras N, Houvarda I, Antoniadou E, Vretzakis G. Investigation of altered heart rate variability, nonlinear properties of heart rate signals, and organ dysfunction longitudinally over time in intensive care unit patients. J Crit Care. 2006;21:95–103 discussion-4.

    Article  PubMed  Google Scholar 

  26. Burr RL, Kirkness CJ, Mitchell PH. Detrended fluctuation analysis of intracranial pressure predicts outcome following traumatic brain injury. IEEE Trans Biomed Eng. 2008;55:2509–18.

    Article  PubMed Central  PubMed  Google Scholar 

  27. Buchman TG. Nonlinear dynamics, complex systems, and the pathobiology of critical illness. Curr Opin Crit Care. 2004;10:378–82.

    Article  PubMed  Google Scholar 

  28. Buchman TG. Physiologic stability and physiologic state. J Trauma. 1996;41:599–605.

    Article  CAS  PubMed  Google Scholar 

  29. Godin PJ, Buchman TG. Uncoupling of biological oscillators: a complementary hypothesis concerning the pathogenesis of multiple organ dysfunction syndrome. Crit Care Med. 1996;24:1107–16.

    Article  CAS  PubMed  Google Scholar 

  30. Coveney PV, Fowler PW. Modelling biological complexity: a physical scientist’s perspective. J R Soc Interface. 2005;2:267–80.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  31. Jacono FF, DeGeorgia MA, Wilson CG, Dick TE, Loparo KA. Data acquisition and complex systems analysis in critical care: developing the intensive care unit of the future. J Healthc Eng. 2010;1:336–7.

    Google Scholar 

  32. Morris G, Gardner R. Computer applications. In: Hall J, Schmidt G, Wood L, editors. Principles of critical care. New York: McGraw-Hill; 1992. p. 500–14.

    Google Scholar 

  33. Morris A, Gardner R. Computer applications. Principles of critical care. New York: McGraw-Hill; 1992. p. 500–14.

    Google Scholar 

  34. Imhoff M. Detecting relationships between physiological variables using graphical modeling. Annual Symposium, Proceedings of the AMIA; 2002.

  35. Woods DD, Patterson ES, Roth EM. Can we ever escape from data overload? A cognitive systems diagnosis. Cogn Technol Work. 2002;4:22–36.

    Article  Google Scholar 

  36. De Turck F, Decruyenaere J, Thysebaert P, et al. Design of a flexible platform for execution of medical decision support agents in the intensive care unit. Comput Biol Med. 2007;37:97–112.

    Article  PubMed  Google Scholar 

  37. Jennings D, Amabile T, Ross L. Informal assessments: data-based versus theory-based judgments. In: Kahnemann D, Slovic P, Tversky A, editors. Judgments under uncertainty: heuristics and biases. Cambridge: Cambridge University Press; 1982. p. 211–30.

    Chapter  Google Scholar 

  38. Woods D. Human-Computer Interaction and Complex Systems. London: The cognitive engineering of problem representations. Academic Press; 1991. p. 169–88.

    Google Scholar 

  39. Zhang J, Norman DA. Representations in distributed cognitive tasks. Cognit Sci. 1994;18:87–122.

    Article  Google Scholar 

  40. Roth EM, Patterson ES, Mumaw RJ. Cognitive engineering: issues in user-centered system design. Encyclopedia of software engineering. New York: Wiley; 2002. p. 163–79.

    Google Scholar 

  41. Tufte E, editor. Envisioning information. Cheshire: Graphic Press; 1990.

    Google Scholar 

  42. Tufte ER. The visual display of quantitative information. Cheshire: Graphics press; 1983.

    Google Scholar 

  43. Tufte ER. Envisioning information. 1990. Visual Explanations: Images and Quan 2006.

  44. Woods DD. Visual momentum: a concept to improve the cognitive coupling of person and computer. Int J Man Mach Stud. 1984;21:229–44.

    Article  Google Scholar 

  45. Keim DA. Designing pixel-oriented visualization techniques: theory and applications. IEEE Trans Vis Comput Gr. 2000;6:59–78.

    Article  Google Scholar 

  46. Faiola A, Newlon C. Advancing Critical Care in the ICU: A human-centered biomedical data visualization systems. Ergonomics and Health Aspects of Work with Computers 2011:119–28.

  47. Zhang J. Human-centered computing in health information systems Part 1: analysis and design. J Biomed Inform. 2005;38:1–3.

    Article  PubMed  Google Scholar 

  48. Ordóñez P, desJardins M, Lombardi M, Lehmann CU, Fackler J. An animated multivariate visualization for physiological and clinical data in the ICU. 2010: ACM. p. 771–9.

  49. Koch S, Staggers N, Weir C, Agutter J, Liu D, Westenskow D. Integrated Information Displays for ICU Nurses: Field Observations, Display Design, and Display Evaluation. 2010: SAGE Publications. pp. 932–6.

  50. Elson RB, Connelly DP. The impact of anticipatory patient data displays on physician decision making: a pilot study. 1997: American Medical Informatics Association. p. 233.

  51. Balas EA. Interactive computer graphics support of medical decision-making: Department of Medical Informatics, University of Utah; 1991.

  52. Plaisant C, Milash B, Rose A, Widoff S, Shneiderman B. LifeLines: visualizing personal histories. 1996: ACM. pp. 221–7.

  53. Alonso D, Rose A, Plaisant C, Norman K. Viewing personal history records: a comparison of tabular format and graphical presentation using lifelines. Behav Inf Technol. 1997;17:249–62.

    Article  Google Scholar 

  54. Effken JA, Loeb RG, Kang Y, Lin ZC. Clinical information displays to improve ICU outcomes. Int J Med Inf. 2008;77:765–77.

    Article  Google Scholar 

  55. Chan WW-Y. A survey on multivariate data visualization. Department of Computer Science and Engineering Hong Kong University of Science and Technology 2006;8:1–29.

  56. Healey CG. Perception in visualization. Department of Computer Science, North Carolina State University, available at: http://www.csc.ncsu.edu/faculty/healey/PP/2005. Accessed 14 June 2013.

  57. Moody GB, Lehman L. Predicting acute hypotensive episodes. The 10th annual physioNet/computers in cardiology challenge. Computers in Cardiology, 2009: IEEE pp. 541–4.

  58. M.I.T. Laboratory of Computational Physiology, Physionet challenge; 2009. http://physionet.org/challenge/2009/. Accessed 20 June 2013.

  59. Angus D, Kelley M, Schmitz R, White A, Popovich J Jr. Caring for the critically ill patient. Current and projected workforce requirements for care of the critically ill and patients with pulmonary disease: can we meet the requirements of an aging population? JAMA. 2000;284:2762–70.

    Article  CAS  PubMed  Google Scholar 

  60. Young LB, Chan PS, Lu X, Nallamothu BK, Sasson C, Cram PM. Impact of telemedicine intensive care unit coverage on patient outcomes: a systematic review and meta-analysis. Arch Intern Med. 2011;171:498.

    Article  PubMed  Google Scholar 

  61. Cummings J, Krsek C, Vermoch K, Matuszewski K. Intensive care unit telemedicine: review and consensus recommendations. Am J Med Qual. 2007;22:239–50.

    Article  PubMed  Google Scholar 

  62. Field MJ, Grigsby J. Telemedicine and remote patient monitoring. JAMA. 2002;288:423–5.

    Article  PubMed  Google Scholar 

  63. Chapman M, Gattas D, Suntharalingam G. Innovations in technology for critical care medicine. Crit Care. 2004;8:74–6.

    Article  PubMed Central  PubMed  Google Scholar 

  64. H.R. 1581. The Patient-Focused Critical Care Enhancement Act, March 18, 2009.

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Acknowledgments

J. Michael Schmidt has received Grants by the Department of Defense, the Dana Foundation, C.S. Draper Laboratory, and IBM Research.

Conflict of interest

Michael De Georgia declares that he has no conflicts of interest.

Author information

Authors and Affiliations

  1. Neurocritical Care Center, Cerebrovascular Center, University Hospital Case Medical Center and Department of Neurology, Case Western Reserve University School of Medicine, Cleveland, OH, USA

    Michael De Georgia

  2. Division of Critical Care Neurology, Neurological Institute, Columbia University College of Physicians and Surgeons, 177 Fort Washington Avenue, MHB Suite 8-300, New York, NY, 10032, USA

    J. Michael Schmidt

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Consortia

The Participants in the International Multidisciplinary Consensus Conference on Multimodality Monitoring

Corresponding author

Correspondence to J. Michael Schmidt.

Additional information

The Participants in the International Multidisciplinary Consensus Conference on Multimodality Monitoring are listed in “Appendix”.

Appendix 1: Participants in the International Multi-disciplinary Consensus Conference on Multimodality Monitoring

Appendix 1: Participants in the International Multi-disciplinary Consensus Conference on Multimodality Monitoring

Peter Le Roux, MD, FACS

Brain and Spine Center

Suite 370, Medical Science Building

Lankenau Medical Center

100 East Lancaster Avenue, Wynnewood, PA 19096, USA

Tel: +1 610 642 3005;

Fax: 610 642 3057

lerouxp@mlhs.org

David K Menon MD PhD FRCP FRCA FFICM FMedSci

Head, Division of Anaesthesia, University of Cambridge

Consultant, Neurosciences Critical Care Unit

Box 93, Addenbrooke’s Hospital

Cambridge CB2 2QQ, UK

dkm13@wbic.cam.ac.uk

Paul Vespa, MD, FCCM, FAAN, FNCS

Professor of Neurology and Neurosurgery

Director of Neurocritical Care

David Geffen School of Medicine at UCLA

Los Angeles, CA 90095 USA

PVespa@mednet.ucla.edu

Giuseppe Citerio, MD

Director NeuroIntensive Care Unit

Department of Anesthesia and Critical Care

Ospedale San Gerardo, Monza.

Via Pergolesi 33, Monza 20900, Italy

g.citerio@hsgerardo.org

Mary Kay Bader RN, MSN, CCNS, FAHA, FNCS

Neuro/Critical Care CNS

Mission Hospital

Mission Viejo CA 92691, USA

Marykay.Bader@stjoe.org

Gretchen M. Brophy, PharmD, BCPS, FCCP, FCCM

Professor of Pharmacotherapy & Outcomes Science and Neurosurgery

Virginia Commonwealth University

Medical College of Virginia Campus

410 N. 12th Street

Richmond, Virginia 23298-0533 USA

gbrophy@vcu.edu

Michael N. Diringer, MD

Professor of Neurology, Neurosurgery & Anesthesiology

Chief, Neurocritical Care Section

Washington University

Dept. of Neurology, Campus Box 8111

660 S Euclid Ave

St Louis, MO 63110 USA

diringerm@neuro.wustl.edu

Nino Stocchetti, MD

Professor of Anesthesia and Intensive Care

Department of physiopathology and transplant

Milan University

Director Neuro ICU

Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico

Via F Sforza, 35 20122 Milan Italy

e-mail stocchet@policlinico.mi.it

Walter Videtta, MD

ICU Neurocritical Care

Hospital Nacional ‘Prof. a. Posadas’

El Palomar - Pcia. de Buenos Aires

Argentina

wvidetta@ar.inter.net

Rocco Armonda, MD

Department of Neurosurgery

MedStar Georgetown University Hospital

Medstar Health, 3800 Reservoir Road NW

Washington DC 20007

USA

Rocco.Armonda@gmail.com

Neeraj Badjatia, MD

Department of Neurology

University of Maryland Medical Center

22 S Greene St

Baltimore, MD, 21201

USA

nbadjatia@umm.edu

Julian Boesel, MD

Department of Neurology

Ruprect-Karls University

Hospital Heidelberg, Im Neuenheimer Feld 400

D-69120 Heidelberg

Germany

Julian.Boesel@med.uni-heidelberg.de

Randal Chesnut, MD, FCCM, FACS

Harborview Medical Center,

University of Washington Mailstop 359766

325 Ninth Ave

Seattle WA 98104-2499

USA

chesnutr@u.washington.edu

Sherry Chou, MD, MMSc

Department of Neurology

Brigham and Women’s Hospital

75 Francis Street

Boston MA 02115

USA

schou1@partners.org

Jan Claassen, MD, PhD, FNCS

Assistant Professor of Neurology and Neurosurgery

Head of Neurocritical Care and Medical Director of the Neurological Intensive Care Unit

Columbia University College of Physicians & Surgeons

177 Fort Washington Avenue, Milstein 8 Center room 300

New York, NY 10032

USA

jc1439@cumc.columbia.edu

Marek Czosnyka, PhD

Department of Neurosurgery

University of Cambridge

Addenbrooke’s Hospital, Box 167

Cambridge, CB20QQ

United Kingdom

mc141@medschl.cam.ac.uk

Michael De Georgia, MD

Professor of Neurology

Director, Neurocritical Care Center

Co-Director, Cerebrovascular Center

University Hospital Case Medical Center

Case Western Reserve University School of Medicine

11100 Euclid Avenue

Cleveland, Ohio 44106

michael.degeorgia@uhhospitals.org

Anthony Figaji, MD, PhD

Head of Pediatric Neurosurgery

University of Cape Town

617 Institute for Child Health

Red Cross Children’s Hospital

Rondebosch, 7700
Cape Town

South Africa

anthony.figaji@uct.ac.za

Jennifer Fugate, DO

Department of Neurology

Mayo Clinic

200 First Street SW

Rochester, MN 55905

Fugate.Jennifer@mayo.edu

Raimund Helbok, MD

Department of Neurology, Neurocritical Care Unit

Innsbruck Medical University

Anichstr.35, 6020

Innsbruck,

Austria

raimund.helbok@uki.at

David Horowitz, MD

Associate Chief Medical Officer

University of Pennsylvania Health System

3701 Market Street

Philadelphia, PA, 19104

USA

david.horowitz@uphs.upenn.edu

Peter Hutchinson, MD

Professor of Neurosurgery

NIHR Research Professor

Department of Clinical Neurosciences

University of Cambridge

Box 167 Addenbrooke’s Hospital

Cambridge CB2 2QQ

United Kingdom

pjah2@cam.ac.uk

Monisha Kumar, MD

Department of Neurology

Perelman School of Medicine, University of Pennsylvania

3 West Gates

3400 Spruce Street

Philadelphia, PA, 19104

USA

monisha.kumar@uphs.upenn.edu

Molly McNett, RN, PhD

Director, Nursing Research

The MetroHealth System

2500 MetroHealth Drive

Cleveland, OH 44109

USA

mmcnett@metrohealth.org

Chad Miller, MD

Division of Cerebrovascular Diseases and Neurocritical Care

The Ohio State University

395 W. 12th Ave, 7th Floor

Columbus, OH 43210

ChadM.Miller@osumc.edu

Andrew Naidech, MD, MSPH

Department of Neurology

Northwestern University Feinberg SOM 710

N Lake Shore Drive, 11th floor

Chicago, IL 60611

ANaidech@nmff.org

Mauro Oddo, MD

Department of Intensive Care Medicine

CHUV University Hospital, BH 08-623

Faculty of Biology and Medicine University of Lausanne

1011 Lausanne, Switzerland

Mauro.Oddo@chuv.ch

DaiWai Olson, RN, PhD

Associate Professor of Neurology, Neurotherapeutics and Neurosurgery

University of Texas Southwestern

5323 Harry Hines Blvd.

Dallas, TX 75390-8897

USA

daiwai.olson@utsouthwestern.edu

Kristine O’Phelan M.D.

Director of Neurocritical Care

Associate Professor, Department of Neurology

University of Miami, Miller School of Medicine

JMH, 1611 NW 12th Ave, Suite 405

Miami, FL, 33136

USA

kophelan@med.miami.edu

Javier Provencio, MD

Associate Professor of Medicine

Cerebrovascular Center and Neuroinflammation Research Center

Lerner College of Medicine

Cleveland Clinic

9500 Euclid Ave, NC30

Cleveland, OH 44195

USA

provenj@ccf.org

Corina Puppo, MD

Assistant Professor, Intensive Care Unit

Hospital de Clinicas, Universidad de la República

Montevideo

Uruguay

coripuppo@gmail.com

Richard Riker, MD

Critical Care Medicine

Maine Medical Center

22 Bramhall Street

Portland, Maine 04102-3175

USA

RRiker@cmamaine.com

Claudia Robertson, MD

Department of Neurosurgery

Medical Director of Center for Neurosurgical Intensive Care

Ben Taub Hospital

Baylor College of Medicine

1504 Taub Loop, Houston, TX 77030

USA

claudiar@bcm.tmc.edu

J. Michael Schmidt, PhD, MSc

Director of Neuro-ICU Monitoring and Informatics

Columbia University College of Physicians and Surgeons

Milstein Hospital 8 Garden South, Suite 300

177 Fort Washington Avenue

New York, NY 10032

USA

mjs2134@columbia.edu

Fabio Taccone, MD

Department of Intensive Care, Laboratoire de Recherche Experimentale

Erasme Hospital

Route de Lennik, 808

1070 Brussels

Belgium

ftaccone@ulb.ac.be

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Schmidt, J.M., De Georgia, M. & The Participants in the International Multidisciplinary Consensus Conference on Multimodality Monitoring. Multimodality Monitoring: Informatics, Integration Data Display and Analysis. Neurocrit Care 21 (Suppl 2), 229–238 (2014). https://doi.org/10.1007/s12028-014-0037-1

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