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Automation in Hospitals and Healthcare

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Abstract

Healthcare is a complex industry, but yet it lags behind virtually all others in automation and use of information technology (IT). For healthcare, technology serves as an untapped catalyst for higher efficiency, lower cost and broader access to care. The appropriate application can minimize medical errors, promote better management of chronic illness, and enable clinicians to intervene earlier and anticipate prognosis. Additionally, medical informatics provides the tools to generate new insights about both individuals and entire populations through data analysis and visualization. These systems can also be used in support of continuous quality improvement efforts as well as to reduce inefficiencies. While significant strides have been made in the implementation of medical informatics, there are numerous challenges to resolve before we will be able to realize the full benefits of healthcare IT.

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Abbreviations

ADT:

admission/transfer/discharge

ATM:

air traffic management

ATM:

asynchronous transfer mode

ATM:

automatic teller machine

CPOE:

computerized provider order entry

CQI:

continuous quality improvement

CRM:

customer relationship management

CT:

computed tomography

DRG:

diagnostic related group

EBP:

evidence-based practice

ECG:

electrocardiogram

EMR:

electronic medical record

ERP:

enterprise resource planning

HITSP:

Healthcare Information Technology Standards Panel

HL7:

Health Level 7

IHE:

integrating the healthcare enterprise

IT:

information technology

LOINC:

logical observation identifiers names and codes

MQIC:

Medical Quality Improvement Consortium

MRI:

magnetic resonance imaging

NICU:

neonatal intensive care unit

PACS:

picture archiving and communications system

PET:

positron emission tomography

PHR:

personal healthcare record

RHIO:

regional health information organization

SOAP:

simple object access protocol

References

  1. L.T. Kohn, J.M. Corrigan, M.S. Donaldson (Eds.): To Err Is Human: Building a Safer Health System (National Academy Press, Washington 1999)

    Google Scholar 

  2. J.E. Wennberg: Unwarranted variations in healthcare delivery: implications for academic medical centers, Br. Med. J. 325, 961–964 (2002)

    Article  Google Scholar 

  3. E.A. McGlynn, S.M. Asch, J. Adams, J. Keesey, J. Hicks, A. DeCristofaro, E.A. Kerr: The quality of health care delivered to adults in the United States, New Engl. J. Med. 348(26), 2635–2645 (2003)

    Article  Google Scholar 

  4. R. Mangione-Smith, A.H. DeCristofaro, C.M. Setodji, J. Keesey, D.J. Klein, J.L. Adams, M.A. Schuster, E.A. McGlynn: The quality of ambulatory care delivered to children in the United States, New Engl. J. Med. 15, 1515–1523 (2007)

    Article  Google Scholar 

  5. C. Clancy, K. Cronin: Evidence-based decision making: global evidence, local decisions, Health Aff. 24(1), 151–162 (2005)

    Article  Google Scholar 

  6. R. Hillestad, J. Bigelow, A. Bower, F. Girosi, R. Meili, R. Scoville, R. Taylor: Can electronic medical record systems transform health care? Potential health benefits, savings, and costs, Health Aff. 24(5), 1103–1117 (2005)

    Article  Google Scholar 

  7. Clinical Content: http://www.clinicalcontent.com/about (last accessed May 20, 2009)

  8. M.A. Shipp, K.N. Ross, P. Tamayo, A.P. Weng, J.L. Kutok, R.C. Aguiar, M. Gaasenbeek, M. Angelo, M. Reich, G.S. Pinkus, T.S. Ray, M.A. Koval, K.W. Last, A. Norton, T.A. Lister, J. Mesirov, D.S. Neuberg, E.S. Lander, J.C. Aster, T.R. Golub: Diffuse large B-cell lymphoma outcome prediction by gene expression profiling and supervised machine learning, Nat. Med. 8(7), 68 (2002)

    Article  Google Scholar 

  9. S. Adak, K. Illouz, W. Gorman, R. Tandon, E.A. Zimmerman, R. Guariglia, M.M. Moore, J.A. Kaye: Predicting the rate of cognitive decline in aging and early Alzheimer disease, Neurology 63(1), 108–14 (2004)

    Google Scholar 

  10. H.B. Nguyen, J. Banta, T. Cho, C. Van Ginkel, K. Burroughs, W.A. Wittlake, S.W. Corbett: Mortality predictions using current physiologic scoring systems in patients meeting criteria for early goal-directed therapy and the severe sepsis resuscitation bundle, Shock 30(1), 23–28 (2008)

    Article  Google Scholar 

  11. C.M. Birkmeyer, D.E. Wennberg: Patient Safety Standards (Leapfrog Group, 2003)

    Google Scholar 

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Correspondence to Brandon Savage .

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© 2009 Springer-Verlag Berlin Heidelberg

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Savage, B. (2009). Automation in Hospitals and Healthcare. In: Nof, S. (eds) Springer Handbook of Automation. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78831-7_77

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  • DOI: https://doi.org/10.1007/978-3-540-78831-7_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78830-0

  • Online ISBN: 978-3-540-78831-7

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