Cited by 57Healthcare Technology and Patient MonitoringHemodynamic Monitoring and TherapyTechnology and Human Factors in Education and Health

Hemodynamic monitoring in the era of digital health

Open access
Michard, Frederic·2016·Annals of Intensive Care

Abstract

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s13613-016-0119-7

Cites

44 of 44 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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].”

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

Flagged first, then by citations

Research works printed but not linked: 1

  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

Authors
Michard, F.
Venue
Annals of Intensive Care
Publisher
Elsevier BV
Published
2016
Volume
6
Issue
1
Pages
15
ISSN
2110-5820 (ISSN-L)
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
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