Kinometrix

What does K-FRAS do?

The vendor describes the platform as "a machine learning system that uses EHR data to assess patient harm risk," and K-FRAS stands for Kinometrix Fall Risk Assessment Solution. It calls the platform "headless," says it "can be integrated with any EHR" and says K-FRAS "automates fall-risk assessment." A press release says it works in real time and displays specific risk drivers. The company positions K-FRAS as the first solution of a wider patient safety platform for hospital-acquired conditions, with pressure injury among them. The About page names one partner, AvaSure (TeleSitter), for identifying patients at fall risk.

The vendor's stated mission is "to eliminate the preventable patient harm HACs cause by revolutionizing risk assessment and monitoring." Epic and Cerner are not named on the homepage.

Founders, funding and evidence

Kinometrix, Inc. is at Fort Belvoir, Virginia, per a 2022 grant list from the Virginia Innovation Partnership Corporation that named it among 15 Virginia companies. The About page names Devina Desai as founder and CEO, Todd Scarola as CTO and Patrick Bradley as chief clinical officer. Crunchbase lists a different founder set: Desai, Marc Cohen, Bradley and Sam Jazzo. Virginia Venture Partners, the venture arm of the Virginia Innovation Partnership Corporation, announced a seed investment on May 22, 2023 with no amount. The company also received a Commonwealth Commercialization Fund grant and took part in Lighthouse Labs for $20,000 in 2022, and Crunchbase counts six investors, among them Techstars and Enlightened Capital. The founding year is not given.

PubMed returns no paper on Kinometrix or K-FRAS, and the vendor's pages give no AUROC or calibration figure. They also state no HIPAA, SOC 2 or HITRUST compliance and list no price.

The verdict

The pitch is a fall-risk model that works with any EHR and shows the drivers behind each score, backed by the Virginia Venture Partners seed round and a Commonwealth Commercialization Fund grant. A hospital piloting an EHR-agnostic fall-risk model is the fit, and one that needs published validation or a reference site is not.