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BC Link® is the connection point between data, people and clinical decisions

“The proximity and responsiveness of the Better Care team provide us with strong operational confidence. Any issues are managed quickly and efficiently, ensuring the continuity and stability of our systems in a highly demanding clinical environment.”
Rafael Muñoz
Head of IT Systems
Germans Trias i Pujol Hospital, Badalona (Barcelona)

Algorithms transforming patient care

At Better Care, we drive innovation through the development of proprietary clinical indicators based on advanced signal processing and data analysis techniques.

BC Link® incorporates algorithms for mechanical ventilation and cardiology, designed to improve the quality and safety of daily patient care.
Varias personas trabajando en una oficina moderna con múltiples monitores y laptops, algunas con código en pantalla.

Mechanical ventilation

Indicators to measure patient-ventilator interaction (RT, IEE, DT, AI, etc...) 7.8 and advanced calculations (dead space, VAEVT) in mechanical ventilation.

Cardiology

Continuous real-time monitoring of heart rate variability (HRV) 4.5.

Detection of atrial fibrillation using R-R variability, validated by Better Care. 6

4. The pulse of inflammation: heart rate variability, the cholinergic anti-inflammatory pathway, and implications for PMID therapy: 21158977 

5. Heart rate variability as a predictor of mortality in sepsis: a systematic review. PMID: 30204803Favreau, E.G., Sorrentino, J.J., Bolkhovsky, J.B., & Anderson, L.R. (2011). 

6. Automatic detection of atrial fibrillation and atrial flutter. Automated detection and quantification of the reverse activation force under mechanical ventilation. Crit Care 2021 Feb 15; 25 (1) :60. 

7. Validation of the Better Care® System to detect ineffective efforts during expiration in mechanically ventilated patients: a pilot study. Intensive Care Med 2012; 38:772 —80 8. 

8. Asynchrony during mechanical ventilation is associated with mortality. Intensive Care Med 2015; 41:633 —41 Backer, D., Heenen, S., Piagnerelli, M., Koch, M., & Vincent, J. L. (2005). 

9. Pulse pressure variations to predict fluid responsiveness: influence of current volume. Intensive Care Medicine, 31 (4), 517-523.

R & D strategy

Our knowledge and expertise are the result of a continuous commitment to scientific research with real clinical impact. Within our R&D strategy, we focus on developing solutions that transform clinical data into intelligent decisions across the entire patient journey.

Longitudinal Characterization of Patient-Ventilator Asynchronies in Acute Hypoxemic Respiratory Failure

Respiratory Care
25/5/25
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Prevalence and consequences of patient-ventilator interactions in a cohort of home-ventilated restrictive and neuromuscular patients: a multicentre study

ERJ Open Research
11/3/25
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Flow starvation during square-flow assisted ventilation detected by supervised deep learning techniques

Critical Care
14/4/24
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Clinical experience in real-world practice

Leading hospitals around the world trust in us to ensure the continuity of care for their patients.

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