The multi-year partnership will combine artificial intelligence and machine learning with data from remote patient monitoring devices to forecast and prevent adverse outcomes
The partnership will combine Zephyr AI’s machine-learning technology with KangarooHealth’s remote monitoring platform. (Credit: National Cancer Institute on Unsplash)
Healthcare technology firms Zephyr AI and KangarooHealth have entered into a partnership to combine the former’s machine learning technology with the latter’s proprietary remote monitoring platform to develop a predictive solution for clinicians.
The multi-year agreement is aimed to offer clinicians with insights to make informed treatment decisions for patients diagnosed with chronic conditions.
It will combine artificial intelligence (AI) and machine learning with data from remote patient monitoring devices to forecast and prevent adverse outcomes.
Zephyr AI CEO David Morgan II said: “The opportunity to pair Zephyr’s machine learning platform with real-world data from a cutting-edge partner like KangarooHealth is tremendous.
“Together, we believe this collaboration will enable us to provide clinicians with the insights to be able to better anticipate and address the needs of their patients, deliver personalised treatment decisions, and ultimately improve individual health outcomes, and that service comes with the added benefit of reducing the total cost of care to the overall system.”
California-based KangarooHealth offers a turn-key platform for remote patient monitoring for providers. The platform is Health Insurance Portability and Accountability Act (HIPAA) and System and Organizations Controls (SOC2) certified.
The company specialises in remote patient monitoring, chronic care management, and therapeutic monitoring. It improves the quality of patient care by monitoring chronic conditions between visits and sending automatic alerts of early symptoms.
KangarooHealth’s platform and connected device network will be incorporated with Zephyr’s machine-learning models, which make use of algorithms to predict the onset and progression of disease as well as adverse outcome events.
The data from KangarooHealth’s monitoring platform is expected to accelerate the current machine learning capabilities of Zephyr AI and help clinicians to better foresee and avert adverse outcomes.
The platform integrates over 100 connected devices, including blood pressure monitors, blood glucose monitors, and other wearable technologies.
KangarooHealth founder and CEO Xiaoxu Kang said: “By combining accurate patient insights that have been generated using smart biometric devices with the ability to predict the trajectory of an illness, we aim to deliver physicians a list of options to identify warning signs and plan into early intervention opportunities for mitigating adverse events, thereby significantly helping prevent catastrophic outcomes.”