Tuesday, July 2, 2024

ONDO Systems & Caspar AI Team up to Deliver Comprehensive Bed-focused care Leveraging the Power of AI

Related stories

Releasing Hopsworks 4.0 – Introducing the AI Lakehouse

The team at Hopsworks is excited to announce our...

Sharpen Revolutionizes Contact Center Operations with Usable AI™ Platform

Sharpen, a recognized leader in cloud contact center software,...

RamSoft and RADPAIR Announce Integration of AI-Driven Radiology Report Generation into OmegaAI’s Platform

RamSoft®, a global leader in cloud-based RIS/PACS radiology solutions,...

Fonon’s Additive Manufacturing Paired With AI To Usher in New Possibilities

Fonon Corporation, a multi-market holding company, R&D center, equipment...

Calabrio Enhances its Innovative AI-driven Business Intelligence Tools

Calabrio, the workforce performance company, unveiled its Summer of...
spot_imgspot_img

ONDO Systems Inc., an innovator in IoT infrastructure and enablement for post-acute and long-term care, announced it has entered into a channel partnership with Caspar AI, a cutting-edge continuous health monitoring and clinical intelligence company, to integrate their AI-driven passive monitoring solution onto ONDO’s platform for smart nursing. Incorporated into ONDO’s clinical-bed focused tools, the collaboration enables care providers to deliver improved patient outcomes and caregiver workflow.

ONDO platform’s suite of solutions is designed specifically for post-acute and long-term care providers, managing facility workflow, asset management, patient monitoring, and care plan compliance through a single consolidated user dashboard. ONDO makes it easy for care providers to add additional tools and solution features, now including Caspar AI’s patient trending data, alerting for in-bed patient awareness, and vitals monitoring. Health care professionals can monitor this data in near real-time and longitudinally to spot trends that drive decision making and workflow and allow for long-term and comparative analysis.

Caspar AI’s cloud AI plugin sends analytics and AI-driven observations into customers’ dashboards, enabling care teams to deliver proactive care using generative AI to observe, analyze, and predict health outcomes.  Caspar AI’s contactless monitoring solutions support over 20 health and wellness conditions and cover some of the most critical elements of care, including vitals management and care plan validation with AI-driven reports. These continuous data insights not only improve patient outcomes, but also support operational efficiency of the care team.

Also Read: PathKeeper Surgical Selected to Exhibit at Vizient Innovative Technology Exchange

“ONDO’s platform was built to allow the post-acute care industry to quickly adopt a wide range of IoT devices and digital medical devices. Our relationship with Caspar AI allows us to enhance our core product offering and expand the number of features and data driven solutions we can offer to our customer base” said Ivan Goering, CEO of ONDO Systems. “The partnership will increase ease of use and regular reporting for patient vitals, and complement the value of other sensors and tools on the platform. Together ONDO and Caspar AI bring scalable efficiencies and documentation to enable a better economic model for our healthcare provider partners.”

“Embedding Caspar solution directly onto a patient’s bed with ONDO‘s platform is a substantial upgrade in terms of providing holistic, patient-centric care” according to Ashutosh Saxena, CEO of Caspar AI. “By integrating our full suite of contactless monitoring solutions directly onto a patient’s bed, and factoring additional data sets from other tools on the ONDO platform, we can provide 100x more analytics and insights than before, which will fundamentally change the way we are able to deliver care in the marketplace. I can’t think of a better way to accomplish our mission of delivering AI-powered care to facilities in the most seamless way possible!”

Source: PRNewswire

Subscribe

- Never miss a story with notifications


    Latest stories

    spot_img