Information Technology in Critical Care: Review of Monitoring and Data Acquisition Systems for Patient Care and Research
Open accessAbstract
There is a broad consensus that 21st century health care will require intensive use of information technology to acquire and analyze data and then manage and disseminate information extracted from the data. No area is more data intensive than the intensive care unit. While there have been major improvements in intensive care monitoring, the medical industry, for the most part, has not incorporated many of the advances in computer science, biomedical engineering, signal processing, and mathematics that many other industries have embraced. Acquiring, synchronizing, integrating, and analyzing patient data remain frustratingly difficult because of incompatibilities among monitoring equipment, proprietary limitations from industry, and the absence of standard data formatting. In this paper, we will review the history of computers in the intensive care unit along with commonly used monitoring and data acquisition systems, both those commercially available and those being developed for research purposes.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The introduction of novel patient monitoring applications in the ICU remains a lagging process compared to other industry sectors.
“Despite these technological developments, the introduction of novel patient monitoring applications in the ICU remains a lagging process compared to other industry sectors [17,18].”
From Clinical requirements of future patient monitoring in the intensive care unit: qualitative study (2019) · cites this paper as [18]
Today, most acute care medical devices are not designed to interoperate.
“Today, most acute care medical devices are not designed to interoperate [18].”
From Clinical requirements of future patient monitoring in the intensive care unit: qualitative study (2019) · cites this paper as [18]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Saeed, M., Villarroel, M., Reisner, A. T., Clifford, G., Lehman, L.-W., Moody, G., Heldt, T., Kyaw, T. H., Moody, B., & Mark, R. G. (2011) · Critical Care Medicine · doi:10.1097/ccm.0b013e31820a92c6 · Cited by 1,162 · see citing works
Pryor, T. A., Gardner, R. M., Clayton, P. D., & Warner, H. R. (1983) · Journal of Medical Systems · doi:10.1007/bf00995116 · Cited by 351 · see citing works
Saeed, M., Lieu, C., RABER, G., & Mark, R. G. (2003) · Computers in cardiology · doi:10.1109/cic.2002.1166854 · Cited by 273 · see citing works
IEEE Engineering in Medicine and Biology Society
Voigt, H. F., & Magjarević, R. (2013) · Springer eBooks · doi:10.1007/978-3-642-30160-5_71 · Cited by 270 · see citing works
A database to support development and evaluation of intelligent intensive care monitoring
Moody, G. B., & Mark, R. G. (2002) · Computers in cardiology · doi:10.1109/cic.1996.542622 · Cited by 248 · see citing works
(1992) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.1992.589383 · Cited by 162 · see citing works
Peters, S. G. (1993) · Mayo Clinic Proceedings · doi:10.1016/s0025-6196(12)62288-5 · Cited by 140 · see citing works
Bridging gaps in handoffs: A continuity of care based approach
Abraham, J., Kannampallil, T., & Patel, V. L. (2011) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2011.10.011 · Cited by 102 · see citing works
(2005) · PsycEXTRA Dataset · doi:10.1037/e564902011-001 · Cited by 99 · see citing works
A computer-based record and clinical monitoring system for ambulatory care.
McDonald, C. J., Murray, R. B., Jeris, D. W., et al. (1977) · American Journal of Public Health · doi:10.2105/ajph.67.3.240 · Cited by 88 · see citing works
Automated Treatment of Critically Ill Patients Following Operation
Sheppard, L. C., Kouchoukos, N. T., KURTTS, M. A., et al. (1968) · Annals of Surgery · doi:10.1097/00000658-196810000-00007 · Cited by 80 · see citing works
Goldstein, B., McNames, J., McDonald, B. A., et al. (2003) · Critical Care Medicine · doi:10.1097/01.ccm.0000050285.93097.52 · Cited by 71 · see citing works
Digital Computer as Aid to Differential Diagnosis
Lipkin, M. (1961) · Archives of Internal Medicine · doi:10.1001/archinte.1961.03620070058008 · Cited by 68 · see citing works
Fitzmaurice, J. M. (2002) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m0867 · Cited by 66 · see citing works
New Approaches to Physiological Informatics in Neurocritical Care
Sorani, M. D., Hemphill, J. C., Morabito, D. J., et al. (2007) · Neurocritical Care · doi:10.1007/s12028-007-0043-7 · Cited by 64 · see citing works
ICM+, a flexible platform for investigations of cerebrospinal dynamics in clinical practice
Smielewski, P. S., Lavinio, A., Timofeev, I. S., et al. (2008) · Acta neurochirurgica. Supplementum · doi:10.1007/978-3-211-85578-2_30 · Cited by 64 · see citing works
Efficient Monitoring with a Digital Computer of Cardiovascular Function in Seriously Ill Patients
Shubin, H., & WEIL, M. H. (1966) · Annals of Internal Medicine · doi:10.7326/0003-4819-65-3-453 · Cited by 41 · see citing works
Computer-assisted learning in critical care: From ENIAC to HAL
Tegtmeyer, K., Ibsen, L. M., & Goldstein, B. (2001) · Critical Care Medicine · doi:10.1097/00003246-200108001-00006 · Cited by 35 · see citing works
ELECTRONIC MEDICAL RECORD IN THE INTENSIVE CARE UNIT
Sado, A. S. (1999) · Critical Care Clinics · doi:10.1016/s0749-0704(05)70068-3 · Cited by 30 · see citing works
Novel representation of physiologic states during critical illness and recovery
Buchman, T. G. (2010) · Critical Care · doi:10.1186/cc8868 · Cited by 30 · see citing works
A computerized obstetric medical record.
Stead, W. W., Rg, B., We, H., et al. (1977) · PubMed · Cited by 28 · see citing works
The digital patient: Predicting physiologic dynamics with mathematical models*
Buchman, T. G. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181987bbc · Cited by 22 · see citing works
A computerized perioperative data integration and display system
Meyer, M. A., Levine, W. C., Egan, M. T., et al. (2007) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-007-0126-0 · Cited by 21 · see citing works
The automated anesthesia record
GRAVENSTEIN, J. S. (1986) · International journal of clinical monitoring and computing · doi:10.1007/bf01880766 · Cited by 19 · see citing works
The HP CareVue clinical information system
Shabot, M. M. (1997) · International journal of clinical monitoring and computing · doi:10.1007/bf03356592 · Cited by 18 · see citing works
Seiver, A. J. (2000) · Critical Care Clinics · doi:10.1016/s0749-0704(05)70136-6 · Cited by 17 · see citing works
Kropyvnytskyy, I., Saunders, F. W., Schierek, P., et al. (2001) · Brain Injury · doi:10.1080/02699050010007407 · Cited by 17 · see citing works
Computer-based consultation in "care" of the critically ill patient.
Jh, S., Fichthorn, J., Monteferrante, J., et al. (1976) · PubMed · Cited by 17 · see citing works
Computerized information system for ICU patient management
MANZANO, J. L., VILLALOBOS, J., CHURCH, A., et al. (1980) · Critical Care Medicine · doi:10.1097/00003246-198012000-00011 · Cited by 16 · see citing works
Design and implementation of a portable physiologic data acquisition system*
Vinecore, K., Aboy, M., McNames, J., et al. (2007) · Pediatric Critical Care Medicine · doi:10.1097/01.pcc.0000288715.66726.64 · Cited by 13 · see citing works
Technical description of the IBIS Data Library
Gade, J., Korhonen, I., van Gils, M., et al. (2000) · Computer Methods and Programs in Biomedicine · doi:10.1016/s0169-2607(00)00108-5 · Cited by 11 · see citing works
Feng, M., Zhang, Z. D., Zhang, F., et al. (2011) · doi:10.1109/iembs.2011.6091586 · Cited by 10 · see citing works
McKesson, E. I. (1934) · Anesthesia & Analgesia · doi:10.1213/00000539-193401000-00001 · Cited by 9 · see citing works
Patient monitoring and data processing in the ICU
Booth, F. (1983) · Critical Care Medicine · doi:10.1097/00003246-198301000-00016 · Cited by 8 · see citing works
Detecting relationships between physiological variables using graphical models.
Imhoff, M., Fried, R., & Gather, U. (2002) · PubMed · Cited by 7 · see citing works
Patient data management systems (PDMS). Computer technology for critical care nurses.
Milholland, K. (1989) · PubMed · Cited by 6 · see citing works
COSTAR—A Working Computer System for Ambulatory Care
Harris, J. (1978) · Military Medicine · doi:10.1093/milmed/143.12.880 · Cited by 4 · see citing works
Computer assisted monitoring in intensive medicine.
Lauwers, P., Ferdinande, P., Walle, J. V. D., et al. (1978) · PubMed · Cited by 4 · see citing works
Implementing problem-oriented medical records (POMR) in an out-patient clinic
McLeroy, S., & Klover, R. V. (1978) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(21)06041-7 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [12]Stacy R. Peters R. Computations of respiratory mechanical parameters Computations in Biomedical Research 1965 New York, NY, USA Academic Press
Cited by
Sorted by citations
Clinical requirements of future patient monitoring in the intensive care unit: qualitative study
Poncette, A.-S., Spies, C., Mosch, L., Schieler, M., Weber-Carstens, S., Krampe, H., & Balzer, F. (2019) · JMIR Medical Informatics · doi:10.2196/13064 · Cited by 136 · see citing works
Khope, S. R., & Elias, S. (2022) · Data Science and Engineering · doi:10.1007/s41019-022-00176-6 · Cited by 17 · see citing works
- Authors
- De Georgia, M. A., Kaffashi, F., Jacono, F. J., & Loparo, K. A.
- Affiliations
- Case Western Reserve University (US)
- University Hospitals Cleveland Medical Center (US)
- Venue
- The Scientific World Journal
- Publisher
- Wiley
- Published
- 2015-01
- Volume
- 2015
- Issue
- 1
- Pages
- 727694-727694
- ISSN
- 1537-744X (ISSN-L)
- 2356-6140
- PMC
- PMC4334936
- OpenAlex
- W2018024530
- Cited by
- 131
- References
- 39
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 20 · 2023: 13 · 2022: 19 · 2021: 7 · 2020: 14 · 2019: 12 · 2018: 13 · 2017: 6 · 2016: 2 · 2015: 1
- FWCI
- 1.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Scientific World JOURNAL (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Veterans Administration Research Service (I01BX000873)
- Topics
- Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- intensive care monitoring, health data integration, data standardization, biomedical signal processing
- MeSH terms
- Critical Care, Humans, Medical Informatics, Monitoring, Physiologic, Systems Integration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review