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When Data is Siloed, Care is Compromised.

Patient data is one of the most valuable assets in health care, but it is an asset not always available to clinicians.  Bedside devices offer just a snapshot of data and the effort it takes to monitor and analyze data from a series of standalone devices leads to desensitization, alarm fatigue and information gaps. Gaps in data can lead to gaps in care and result in a reactive approach based on trial and error. Tools developed using AI have given us the ability to make highly-informed clinical decisions, but they’re only as good as the inputs they receive.

Health systems are looking to improve quality and lower costs through more precise and proactive care. These models rely on a steady stream of high-fidelity data, integrated and disseminated in a way that enables critical insights.

Untapped Data
and Insights
99
%
生成された医療機器データのうち、EMRに記録・記録されていないもの 1
Errors in Manually
Collected Vital Signs
30
%
of manually collected vital sign records contain an error when they were transmitted to the EMR 2
Alarms Resulting
in No Action
72
%
of alarms result in no action being taken 3

Data can be a distraction rather than a guiding tool.

  • Documentation takes up to 35% of a nurse’s time 4
  • Manual documentation isn’t just time-consuming; it’s also error prone 5,6
  • Clinicians don’t have access and visibility to critical data, with only < 0.1% captured and charted in the EMR 7
  • Inconsistent and inaccurate data can impact coordination and handoffs and lead to gaps in care

Visibility of data empowers clinicians and improves care.

  • A secure infrastructure that connects data across care settings, with one of the world’s largest integrated ecosystem of medical devices and applications
  • Aggregates, standardizes and contextualizes data and makes it accessible at all points of care, giving clinicians ready access to the information they need
  • Intelligent connectivity management systems can also capture data at the bedside, reducing documentation time from hours to minutes while reducing the transcription error rate to zero 8
  • High-quality streaming data feeds algorithms that deliver insights to clinicians caring for the highest acuity patients
ニューロン-N3-7S

バイタルストリーム

手術室や高度救急医療エリア向けに設計された Vitals Stream は、ほぼリアルタイムのバイタル データと接続ステータスを一目で継続的に提供します。ユーザーは、どのデバイスが接続されているかを簡単に確認し、キャプチャされたすべてのデータを適切な患者 ID に関連付けることができます。

詳細はこちら
clinicians neuron N3 with-CPC

チャートエクスプレス

Chart Xpress を使用すると、検証済みの情報を EMR に正確かつ迅速に配信できます。Chart Xpress から Vitals Plus にアップグレードすると、接続への投資が拡大し、ワークフローとドキュメントの一貫性が維持されます。

詳細はこちら
clinicians-neuron-N3s-x4

Neuron

A mobile clinical computer features built-in connectivity ports and the ability to manage data and connectivity status from multiple devices on a single display.

詳細はこちら
clinicians-flat-axon-v202402

軸索

A single-, four- or eight-port serial to network bridge providing robust connectivity to the EMR in crowded care areas like the ICU.

詳細はこちら
1
ICU Patient when connected to 10 devices. Data on file. Capsule 2017.
2
Wood J, Finkelstein J. Comparison of automated and manual vital sign collection at hospital wards. Informatics, Management and Technology in Healthcare. Doi: 10.3233/978-1-61499-276-9-48, 2013.
3
Chambrin MC, Ravaux P, Calvelo-Aros D. Multicentric study of monitoring alarms in the adult intensive care unit (ICU): a descriptive analysis. Intensive Care Med 1999;25(12):1360–6.
4
Hendrich A, Chow MP, Skierczynski BA, Lu Z. A 36-Hospital Time and Motion Study: How Do Medical-Surgical Nurses Spend Their Time? The Permanente Journal. 2008;12(3):25-34.
5
Bellomo R, Ackerman M, Bailey M, et al. A controlled trial of electronic automated advisory vital signs monitoring in general hospital wards. Crit Care Med 2012 Vol. 40, No. 8.
6
Fieler VK, Jaglowski T, Richards K. Eliminating Errors in Vital Signs Documentation. CIN: Computers, Informatics, Nursing & Vol. 31, No. 9, 422–427. 2013.
7
Data on file. Capsule 2018.
8
Bellomo R, Ackerman M, Bailey M, et al. A controlled trial of electronic automated advisory vital signs monitoring in general hospital wards. Crit Care Med 2012 Vol. 40, No. 8.