Directed Systems, Ltd.


Directed Systems is a medical software and data science company dedicated to improving patient outcomes in hospital and emergency care through innovative software solutions, data analytics, and physiological modeling. Their mission focuses on enhancing cardiovascular care, particularly for patients undergoing anesthesia during surgical procedures, by providing real-time decision support and analytics to clinicians.

Industries

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Directed Systems, Ltd.


Products

Point-of-care hypotension decision-assist software (diagnostic SaMD)

A point-of-care diagnostic software installed on tablet hardware that streams arterial blood pressure waveform, performs signal quality analysis, predicts hypotension risk, computes cumulative hypotension metrics and provides real-time decision support to anesthesia professionals.

Medical-grade tablet deployment package

Pre-configured medical-grade or off-the-shelf tablets loaded with decision-support software and configured for plug-and-play connectivity with patient monitors.


Services

Cloud analytics for clinical quality improvement and research

Collection and cloud analysis of patient monitoring and treatment data to generate performance metrics, support research studies and enable iterative algorithm improvement.

Point-of-care deployment and integration

Onsite or remote integration of decision support software with existing patient monitors and hospital IT, delivered on pre-configured tablets for rapid customer onboarding.

Usability testing and clinical simulation evaluation

Collaborative usability engineering and prototype evaluation in high-fidelity clinical simulation facilities to validate workflows and visualisations with practising clinicians.

Expertise Areas

  • Clinical decision support for anesthesia
  • Cardiovascular physiological modelling
  • Signal processing for physiological waveforms
  • Machine learning and predictive analytics for patient monitoring
  • Show More (5)

Key Technologies

  • Cloud-based analytics
  • Physiological modelling
  • Real-time arterial waveform signal processing
  • Machine learning for clinical prediction
  • Show More (4)

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