Driving Value Through our Cloud-Based Suite of Software Solutions

Spacelabs has a long history of innovation, starting in the 1950’s by partnering with NASA to develop the first medical telemetry system to monitor Apollo astronauts during their missions.

Today, our pioneering spirit continues as we expand our offerings to include a smart, cloud-based suite of solutions that drive impactful clinical and quality outcomes aligned with reducing costs and driving efficiencies.

Our innovative solutions are designed to optimize nursing workflows, communications, and predictability in decision making by:

  • Augmenting clinical decision-support with more intelligence, including AI and machine learning
  • Prompting care team members toward earlier interventions, even before the need is apparent
  • Streamlined communication between care team members across departments—and enterprises
  • Automating processes to drive clinical workflow efficiencies
  • Incorporating best practices and standardization of workflows
Jim Reeves receives certificate of appreciation from NASA
Astronaut Thomas P. Stafford (right) presents Spacelabs co-founder Jim Reeves with Certificate of Appreciation for Outstanding Contributions to the NASA Apollo Program.

Turn critical questions into confident decisions

Spacelabs SafeNSound

SafeNSound enterprise software puts alarm, device, and waveform management at the clinician’s fingertips, by making data available to the right staff at the right time to drive clinical workflow efficiency, improve patient safety, and help meet financial initiatives.

The results are in at Integris Health:*

*In one year. The results shown are not predictive of future results.

Rothman Index predictive analytics

The FDA-cleared Rothman Index predictive analytics solution calculates patient acuity and predicts deterioration to help clinicians proactively intervene before patients become critical.

With over 55 peer-reviewed publications, hospitals have attributed these outstanding outcomes to the Rothman Index*:

*The results shown are not predictive of future results