Current manual monitoring practice
far from reveals all clinical deterioration
Ghaferi AA, Birkmeyer JD, Dimick JB. Variation in hospital mortality associated with inpatient surgery. N Engl J Med 2009;361:1368-75.
Of postoperative deaths occur in the general medical / surgical wards. ⓘ
Spence et all. CMAJ 2019
Of complications in hospitalized patients are potentially preventable. ⓘ
Baker, G. R., Norton, P. G., Flintoft, V., Blais, R., Brown, A., Cox, J., Etchells, E., Ghali, W. A., Hébert, P., Majumdar, S. R., O'Beirne, M., Palacios-Derflingher, L., Reid, R. J., Sheps, S., & Tamblyn, R. (2004). 4) The Canadian Adverse Events
Study: the incidence of adverse events among hospital patients in Canada. CMAJ: Canadian Medical Association journal = journal de l'Association medicale canadienne, 170(1 1), 1678-1686.
Days prolonged stay in the hospital after complications (serious adverse events). ⓘ
Lilian HF Hoonhout et al. SAEs cause 4 days prolonged stay in hospitals. Direct medical costs of adverse events in Dutch hospitals, BMC Health Services Research volume 9, Article number: 27 (2009)
Current monitoring of vital signs (heart rate/pulse, respiratory rate, peripheral oxygen saturation, temperature, blood pressure) is insufficient.
Major surgery and acute medical disease entail substantial risk of complications and mortality. Manual monitoring is far from reveals all clinical deterioration.
Manual data interpretation cannot capture trends and combination of several physiological parameters. ⓘ
Nielsen et al. Review of Early Warning Score in preventing sudden critical illness and death.
Gerry et al. Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology. BMJ 2020;369:m150.
McGaughey et al. Early warning systems and rapid response systems for the prevention of patient deterioration on acute adult hospital wards.
Using advanced clinically modelled algorithms to monitor patients with with WARD Clinical Support System (WARD-CSS).
WARD-CSS is a CE-certified Class IIa SaMD product.
EU MDR approved
ISO 13485 compliant
WARD-CSS CE
Advanced clinically modelled algorithms interpret vital sign patterns in real-time from wireless sensors and detect deterioration earlier.
Integrating sensors:
Locked screen or open app:
Clinically validated, algorithm-based software transforming patient monitoring
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