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Patient monitoring & early detection

Nurse shortage and challenging demographics calls for intelligent solutions that can support general ward in hospitals and in primary care to reduce workload and increase safety for patients and staff. We enable this via intelligent sensors and clinical support systems across the patient pathway.

Surgical RCT study

Surgical RCT study from Copenhagen documenting statistically significant reductions in adverse events with Ward clinical support system. Link to study  

Radar webinar

Radar is the fastest winning technology for virtual supervision in elderly care and hospitals. Experience from Norway and Sweden can be reviewed in this webinar: Link

WARD-CSS webinar

In this webinar professor Eske Aasvang from Rigshospitalet in Denmark discuss the clinical impact of continuous patient monitoring: Link

Wearables webinar

Wearables are redefining the future for vital sign and ECG monitoring. This webinar discuss the sensors from Check Point Care in a clinical context: Link 

Clinical evidence - Ward-CSS

The evidence in support continuous patient monitoring for better patient is rich and significant. Read a summary of the most relevant here: WARD OnePager evidence

Ward 24/7 – Intelligent Alarms for Continuously Monitoring

Clinically validated nurse app using advanced clinically modelled algorithms to monitor patients with WARD 24/7

Continuous Vital Sign Monitoring (CVSM) should be considered by healthcare leadership as a replacement for the current standard of care, episodic vital sign collection (eVSC), to promote the early detection and treatment of postoperative complications. This practice change presents healthcare facilities with the opportunity to decrease hospital length of stay, avoid litigation, and improve patient outcomes, all of which could increase return on investment.

Wireless continuous monitoring has great potential of detecting complications and reducing ICU transfers:

  • 30% Less transfers to ICU with continuous wireless monitoring
  • 33% Fewer rapid response team calls with continuous monitoring
  • 10% Reduction in Length of Stay

Virtual Supervision with Radar Technology

Historically virtual supervision has been done with computer vision (image or video), but leaves a number of privacy concerns and also already technically obsolete and outdated.

The current state-of-the- art within virtual supervison is based on radar technology. It is a solution that offers full privacy and a long range of additional value adding features and clinical indications.

QUMEA measures contactless and anonymous human movement in the patient’s room. Care givers know automatically and around the clock how their patients are doing and are informed in real time if they need help. QUMEA’s digital mobility monitoring ensures greater patient safety, supports carers in their work and provides relevant clinical findings.

Patient safety: AI-supported movement intelligence processes movement data in the patient’s room, recognises dangerous situations and issues warnings in real time. Continuous information on activity and mobility supports decisions in day-to-day care.

100% anonymous: QUMEA does not generate or process personal data at any time. The privacy and personal rights of patients, carers and doctors are respected and protected at all times.

Peace of mind: QUMEA supports care givers around the clock and provides information in critical situations. This gives staff the security of being in the right place at the right time and allows them to focus on their actual tasks.ic features are in/out of room/bed, fall-prevention, fall-detection, or lying position for pressure ulcer prevention or variation in toilet visits for UTI.

Cost efficiency: Prevents incidents such as falls or pressure ulcers and shortens the length of stay. Digital all-round monitoring enables a reduction in one-to-one care.

Wireless sensors for continuously patient monitoring

CPC sensors from Check Point Care is developed in the Nightingale EU project in cooperation with leading European university hospitals.

Wearable sensor
The CPC senor continuously streams 24/7 real-time ECG and physiological data measuring the following vital signs and ECG:

  • Hearth rate and pulse rate
  • SpO2
  • Non invasive blood pressure (calculated)
  • ECG (1,3,12 leads)
  • Respiration rate
  • Body temperature (axil)
  • Activity and body position
Virtual ward & digital twin
Patients can be overseen by a Virtual Ward 24/7/365, evaluating thousands of data points, providing trend analysis and detailed diagnostic, as a decision support tool.
An artificial intelligence (AI) decision support system examines the data collected by wearable devices and generates a comprehensive set of digital biomarkers. These biomarkers are used to create a personalised digital twin, a virtual representation of the patient’s physiological state, allowing for more accurate assessment of its variations and better identification of any abnormalities in the patient’s health.

Get in contact

Frederik Baastrup Hammer

Frederik Baastrup Hammer

Founder & Partner

+45 60 14 18 84

fba@humanbytes.ai

Ulrik Juul Rokkedal Therkildsen

Ulrik Juul Rokkedal Therkildsen

CEO & Partner

+45 21 38 70 02

urt@humanbytes.ai

Martin Frandsen

Martin Frandsen

Nordic Customer Success Manager

+45 22 21 52 75

mf@humanbytes.ai

Anders Bille

Anders Bille

Nordic Sales Manager

+45 22 98 21 38

ab@umanbytes.ai