Hear Laurie in one of the following:

2024 What's Next Longevity Venture Summit (online)

2024 Longevity Venture Summit (DC)

Related News Articles

04/19/2024

History repeats: The high stakes of the digital divide for seniors and why it matters.

04/16/2024

Potential challenges, risks and safety concerns for older adults and their loved ones.

04/04/2024

But it is not really good news -- as new residents need more care.

04/02/2024

Redfin: Baby boomer homeownerse could prolong the shortage of homes for sale.

04/01/2024

Investigation finds algorithm underestimates the care needed.

You are here

Caspar.AI Launches Contactless Vitals & Real-time Bed Monitoring Solutions with Arcadia, Shellpoint, and Melur Meadows

Palo Alto, CA. [Jan 25, 2024] - Caspar.AI, an innovator in AI-driven remote healthcare technology, today announced the worldwide launch of its Contactless Vitals & Real-Time Bed Monitoring Solutions. Leveraging 150 billion data points about home behaviors, Caspar.AI's patient-centric models enable remote healthcare providers to extend their services into both facilities and home environments effectively.

Revolutionizing Remote Healthcare

The Journal of Clinical Nursing (March 12, 2018) highlights a conflict of care: balancing patients’ sleep with vital sign checks. This challenge is more pronounced for home-based patients, where remote healthcare providers may miss critical health insights. Caspar.AI's solution offers non-intrusive monitoring of heart-rate and respiration-rate during sleep, prioritizing patient privacy, health, and comfort.

Groundbreaking Technology: GPTs and LLMs for Comprehensive Health Monitoring

Caspar.AI employs proprietary Generative Pre-trained Transformers (GPTs) for 3D multi-modal data and LLMs trained on medical records. This innovative approach combines contactless radar and WiFi-based sensing technologies for all-around monitoring of vital signs and 3D movements. It cross-correlates data from medical records to detect medication side effects and provides interpretable, evidence-based analytics for a variety of health concerns including cardiac & respiratory issues, sleep quality & scores, and movement-related conditions.

Patient-Centric AI for Effective and Efficient Care

Trained on over 150 billion data points, Caspar.AI's models cater to diverse patient profiles, aiding both remote and onsite staff in identifying critical health conditions efficiently. The patient-adaptive GPT reduces alert fatigue by customizing alerts to each patient's unique vital sign baseline, accommodating variations like an athlete's lower resting heart rate compared to an elderly individual's higher rate.

Proactive Real-Time Alerts for Enhanced Safety

In facility environments, unsupervised bed exits are a leading cause of injuries. Caspar.AI's solution proactively issues alerts by tracking 3D movements and vital sign changes. This facilitates rapid detection of critical situations, including unsupervised bed exits, prolonged inactivity, and specific cardiac or respiratory conditions. The solution also detects risks related to pressure ulcers, sleep apnea, joint issues, and medication or sleep disturbances, enabling timely intervention. Caspar.AI alerts integrate seamlessly into existing operational workflows, including remote care platforms and nurse call systems.

Improved Patient Care and Remote Care Reimbursements

Communities like Arcadia, Shellpoint, and Melur Meadows have implemented Caspar.AI's technology, enhancing patient care and optimizing operational efficiency. The Caspar.AI solution not only improves care quality but also facilitates higher insurance reimbursements through various CPT codes, potentially up to $180 per patient per month.

"Technology innovation is key to providing exceptional care and keeping residents safe. Caspar.AI's contactless vitals and bed-monitoring help us prevent unanticipated bed exits and offer valuable insights to our care team," said Brian Hinds, Chief Information Officer at Shell Point Retirement Community.

 

For Further Information

Visit https://caspar.ai/ or contact us at info@caspar.ai.

category tags: 
Wednesday, January 24, 2024

Categories