Hemodynamic monitoring in the era of digital health
Open accessAbstract
Digital innovations are changing medicine, and hemodynamic monitoring will not be an exception. Five to ten years from now, we can envision a world where clinicians will learn hemodynamics with simulators and serious games, will monitor patients with wearable or implantable sensors in the hospital and after discharge, will use medical devices able to communicate and integrate the historical, clinical, physiologic and biological information necessary to predict adverse events, propose the most rationale therapy and ensure it is delivered properly. Considerable intellectual and financial investments are currently made to ensure some of these new ideas and products soon become a reality.
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?
Advances in ICTs and medical device technologies have introduced new options for patient monitoring that may potentially improve patient safety.
“With advances in information and communication technologies (ICTs) and medical device technologies, new options for patient monitoring are being introduced that may potentially improve patient safety [5].”
From Clinical requirements of future patient monitoring in the intensive care unit: qualitative study (2019) · cites this paper as [5]
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
Schwartz, G., Tee, B. C.-K., Mei, J., Appleton, A. L., Kim, D. H., Wang, H., & Bao, Z. (2013) · Nature Communications · doi:10.1038/ncomms2832 · Cited by 2,042 · cited 1× · see citing works
“Some are no larger than a Band-Aid or a pinhead [33, 34] and, when placed next to the radial artery or the carotid artery, are able to provide an arterial pressure signal (Fig.”
BackgroundCecconi, M., Backer, D. D., Antonelli, M. M., Beale, R. J., Bakker, J., Hofer, C. K., Jaeschke, R., Mebazaa, A., Pinsky, M. R., Teboul, J., et al. (2014) · Intensive Care Medicine · doi:10.1007/s00134-014-3525-z · Cited by 1,779 · see citing works
Abraham, W. T., Adamson, P. B., Bourge, R. C., Aaron, M. F., Costanzo, M. R., Stevenson, L. W., Strickland, W., Neelagaru, S., Raval, N., Krueger, S., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60101-3 · Cited by 1,744 · see citing works
Mortality after surgery in Europe: a 7 day cohort study
Pearse, R. M., Moreno, R. P., Bauer, P., Pelosi, P. P., Metnitz, P., Spies, C., Vallet, B., Vincent, J., Hoeft, A., & Rhodes, A. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61148-9 · Cited by 1,354 · see citing works
Dağdeviren, C., Su, Y., Joe, P., Yona, R., Liu, Y., Kim, Y., Huang, Y., Damadoran, A. R., Xia, J., Martin, L. W., et al. (2014) · Nature Communications · doi:10.1038/ncomms5496 · Cited by 987 · see citing works
Systematic review of serious games for medical education and surgical skills training
Graafland, M., Schraagen, J. M., & Schijven, M. P. (2012) · British journal of surgery · doi:10.1002/bjs.8819 · Cited by 678 · see citing works
A Multicenter Study of Physicians' Knowledge of the Pulmonary Artery Catheter
Iberti, T. J. (1990) · JAMA · doi:10.1001/jama.1990.03450220094030 · Cited by 433 · see citing works
Iberti, T. J. (1990) · JAMA · doi:10.1001/jama.264.22.2928 · Cited by 257 · see citing works
Aykut, G., Veenstra, G., Scorcella, C., İnce, C., & Boerma, E. C. (2015) · Intensive Care Medicine Experimental · doi:10.1186/s40635-015-0040-7 · Cited by 247 · see citing works
Perioperative Fluid Utilization Variability and Association With Outcomes
Thacker, J. K. M., Mountford, W. K., Ernst, F. R., et al. (2015) · Annals of Surgery · doi:10.1097/sla.0000000000001402 · Cited by 236 · see citing works
Bellomo, R., Ackerman, M., Bailey, M., et al. (2012) · Critical Care Medicine · doi:10.1097/ccm.0b013e318255d9a0 · Cited by 227 · see citing works
Borges, J. B., Suárez-Sipmann, F., Böhm, S. H., et al. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01090.2010 · Cited by 221 · see citing works
Elenko, E., Underwood, L., & Zohar, D. (2015) · Nature Biotechnology · doi:10.1038/nbt.3222 · Cited by 191 · see citing works
Slagt, C., Malagon, I., & Groeneveld, A. B. J. (2014) · British Journal of Anaesthesia · doi:10.1093/bja/aet429 · Cited by 161 · see citing works
Digital Medical Tools and Sensors
Topol, E. J., Steinhubl, S. R., & Torkamani, A. (2015) · JAMA · doi:10.1001/jama.2014.17125 · Cited by 142 · see citing works
Backer, D. D., Marx, G., Tan, A., et al. (2010) · Intensive Care Medicine · doi:10.1007/s00134-010-2098-8 · Cited by 140 · see citing works
Cardiorespiratory instability before and after implementing an integrated monitoring system*
Hravnak, M., DeVita, M. A., CLONTZ, A. S., Edwards, L., Valenta, C., & Pinsky, M. R. (2010) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181fb7b1c · Cited by 136 · see citing works
The Right Picture Is Worth a Thousand Numbers: Data Displays in Anesthesia
Drews, F. A., & Westenskow, D. R. (2006) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872006776412270 · Cited by 110 · see citing works
Noninvasive Continuous Cardiac Output by the Nexfin Before and After Preload-Modifying Maneuvers
Bubenek-Turconi, S. I., Crăciun, M., Miclea, I., et al. (2013) · Anesthesia & Analgesia · doi:10.1213/ane.0b013e31829562c3 · Cited by 109 · see citing works
Vieillard‐Baron, A., Slama, M., Mayo, P. H., et al. (2013) · Intensive Care Medicine · doi:10.1007/s00134-012-2797-4 · Cited by 103 · see citing works
Amir, O., Rappaport, D., Zafrir, B., & Abraham, W. T. (2013) · Congestive Heart Failure · doi:10.1111/chf.12021 · Cited by 97 · see citing works
Patient monitoring alarms in the ICU and in the operating room
Schmid, F., Goepfert, M. S., & Reuter, D. A. (2013) · Critical Care · doi:10.1186/cc12525 · Cited by 96 · see citing works
Biais, M., Carrié, C., Delaunay, F., Morel, N., Revel, P., & Janvier, G. (2012) · Critical Care · doi:10.1186/cc11340 · Cited by 94 · see citing works
New aspects on critical care medicine training
Grenvik, A. N. A., Schaefer, J. J., DeVita, M. A., et al. (2004) · Current Opinion in Critical Care · doi:10.1097/01.ccx.0000132654.52131.32 · Cited by 93 · see citing works
Waldron, N. H., Miller, T. E., Thacker, J. K. M., Manchester, A. K., White, W. D., Nardiello, J., Elgasim, M. A., Moon, R. E., & Gan, T. J. (2014) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000000182 · Cited by 76 · see citing works
Electrical impedance tomography (EIT) for quantification of pulmonary edema in acute lung injury
Trepte, C. J. C., Phillips, C. R., Solà, J., et al. (2016) · Critical Care · doi:10.1186/s13054-015-1173-5 · Cited by 69 · see citing works
Gurushanthaiah, K., Weinger, M. B., & Englund, C. E. (1995) · Anesthesiology · doi:10.1097/00000542-199512000-00009 · Cited by 64 · see citing works
Evaluations of Physiological Monitoring Displays: A Systematic Review
Görges, M., & Staggers, N. (2007) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-007-9106-8 · Cited by 53 · see citing works
Ford, S. J., Birmingham, E., King, A., et al. (2010) · Anesthesia & Analgesia · doi:10.1213/ane.0b013e3181e627d4 · Cited by 49 · see citing works
Ahmad, T. A., Beilstein, C. M., Aldecoa, C., Moreno, R. P., Molnár, Z., Novak–Jankovič, V., Hofer, C. K., Sander, M., Rhodes, A., & Pearse, R. M. (2015) · Perioperative Medicine · doi:10.1186/s13741-015-0018-8 · Cited by 47 · see citing works
Complexity modeling: Identify instability early
Pinsky, M. R. (2010) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181f24484 · Cited by 46 · see citing works
Radial Artery Applanation Tonometry for Continuous Noninvasive Cardiac Output Measurement
Wagner, J. Y., Sarwari, H., Schön, G., et al. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000000979 · Cited by 43 · see citing works
Heart-lung interactions measured by electrical impedance tomography*
Maisch, S., Böhm, S. H., Solà, J., et al. (2011) · Critical Care Medicine · doi:10.1097/ccm.0b013e3182227e65 · Cited by 42 · see citing works
Maus, T. M., Reber, B., Banks, D. A., et al. (2011) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2010.12.017 · Cited by 36 · see citing works
Reineck, L. A., Wallace, D. J., Barnato, A. E., & Kahn, J. M. (2013) · Critical Care · doi:10.1186/cc13033 · Cited by 31 · see citing works
Perioperative goal directed therapy using automated closed-loop fluid management: the future?
Joosten, A., Alexander, B., Delaporte, A., et al. (2015) · Anaesthesiology Intensive Therapy · doi:10.5603/ait.a2015.0069 · Cited by 28 · see citing works
Decision Support for Hemodynamic Management
Michard, F. (2013) · Anesthesia & Analgesia · doi:10.1213/ane.0b013e31827e5002 · Cited by 27 · see citing works
Self-citationThe role of human patient simulators in health-care training
Blackburn, T., & Sadler, C. (2003) · Hospital Medicine · doi:10.12968/hosp.2003.64.11.2351 · Cited by 18 · see citing works
Zhang, G., McCombie, S., Greenstein, R., & McCombie, D. B. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6943656 · Cited by 16 · see citing works
A Wireless and Battery-Less Miniature Intracardiac Pressure Sensor
Hammond, R. L., Hanna, K., Morgan, C., Perakis, P. G., Najafi, N., Long, G. W., & Shanley, C. J. (2011) · ASAIO Journal · doi:10.1097/mat.0b013e318239f2e9 · Cited by 13 · see citing works
Zhang, G., & Mukkamala, R. (2012) · British Journal of Anaesthesia · doi:10.1093/bja/aes099 · Cited by 8 · see citing works
Capstesia, una nueva APP para la monitorización hemodinámica avanzada
Larraza, B. B., Guerras, O. A., & Picado, A. L. (2014) · Revista Española de Anestesiología y Reanimación · doi:10.1016/j.redar.2014.05.013 · Cited by 7 · see citing works
Evaluation of a patient-dedicated blood gas analyser
Fox, J., & Clutton-Brock, T. H. (2015) · Critical Care · doi:10.1186/cc14341 · Cited by 4 · see citing works
Burki, T. K. (2014) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(14)70133-x · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [50]From the battlefield to the medical field. Lockheed Martin adapts missile defense analytics for early sepsis detection. http://www.lockheedmartin.com/us/news/press-releases/2014/february/isgs-sepsis-detection-022414.html.
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
- Authors
- Michard, F.
- Venue
- Annals of Intensive Care
- Publisher
- Elsevier BV
- Published
- 2016
- Volume
- 6
- Issue
- 1
- Pages
- 15
- ISSN
- 2110-5820 (ISSN-L)
- PMC
- PMC4757593
- OpenAlex
- W2284004736
- Cited by
- 57
- References
- 44
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 1 · 2023: 5 · 2022: 4 · 2021: 5 · 2020: 3 · 2019: 9 · 2018: 5 · 2017: 13 · 2016: 3
- FWCI
- 11.08
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Annals of Intensive Care (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
- Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- hemodynamic monitoring, digital health, wearable sensors, implantable sensors, serious games, medical device interoperability, adverse event prediction, intensive care
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