Sickbay
A platform for centralized, scalable remote patient monitoring, enabling proactive care with integrated data from medical devices and EHRs.
Overview
Sickbay is a comprehensive platform designed to implement patient monitoring solutions across various technologies at scale. It empowers healthcare systems to transition to proactive care by providing the necessary monitoring information for effective patient diagnosis and treatment. The platform offers second-by-second data, enabling healthcare professionals to make informed decisions that can save lives.
By leveraging patient monitoring data from any medical device, Sickbay helps unlock the full potential of medical device and EHR investments. It provides scalable solutions that save lives, time, and resources, offering maximum returns. The platform centralizes and securely accesses integrated patient data, standardizes care and research with turnkey data and analytics, and facilitates collaboration by allowing users to annotate and share events to expedite and improve care. Additionally, it automates workflows to enhance processes across multiple facilities.
For health system executives, Sickbay improves staffing ratios and reduces financial risk by enabling the monitoring of more patient beds through centralized telemetry, analytics, and virtual ICU solutions. It increases revenue and optimizes performance. Clinical care teams benefit from accelerated time-to-treat, acting quickly and confidently with near real-time vitals and patient risk stratification. The platform ensures consistent care during handoffs by providing a single-source-of-truth platform for sharing events.
Researchers and quality teams can find solutions faster with instant access to EHR-integrated, near real-time, and historical medical device data. Sickbay is built by researchers for researchers, aiming to make a positive impact. For IT and infrastructure teams, the platform aligns teams and empowers innovation as a vendor-neutral solution that requires no additional data transformations or interpretation. It directly connects clinical, research, and data science teams to all the patient monitoring data they need.


