Home Healthcare Clew Medical Utilizing Artificial Intelligence To Identify Patient-Specific Risks

Clew Medical Utilizing Artificial Intelligence To Identify Patient-Specific Risks

Clew Medical is a predictive analysis startup founded back in 2014. The company’s main aim is to use this artificial intelligence (AI) based technology to identify patients at risk and potentially save lives.

The way it works is like this: First the AI predicts when a patient is at risk, using real-time data and machine learning technology. This information is then relayed on a user friendly interface which the AI uses to indicate how well (or not so well) a patient is doing.

“Most systems available today provide basic predictions using either population health models or pre configured rule-based alerts,” said Gal Salomon, founder and CEO of Clew Medical. “Clew’s platform has the capability to use larger volumes of data to generate patient-specific predictions. Moreover, since the system utilizes advanced machine learning technology, our prediction models evolve and refine over time.”

Other startups that are also using AI in a healthcare setting include Zebra Medical Vision and Belong. Zebra Medical Vision uses AI to examine scans to detect diseases while Belong uses AI to help cancer patients. As well as identifying which patients are most at risk the AI also helps to decide the best level of care the patient should receive based on the patient’s foressen medical outcome. This will also help with resource allocation and making sure treatments that are needed are accessible to those that need them.

So far since it was founded the company’s raised more than $10 million in funding from various sources across the globe. Its current AI-based solution is just being used in Israel and the U.S. currently, but the company is looking to expand its operations further. “Our initial deployments are targeted at tier 1 medical centers,” said Salomon. “Currently, we have proof of concept systems running at Mayo Clinic in Rochester MN, Tel Aviv Medical Center, and we’re in the process of deploying our system on several hospitals in the United States. Regulations in this area are a moving target and are evolving rapidly.”

The company has already began to seek FDA approval. Salomon said the next thing for Clew is to “expand its offering to reach additional care settings, including perioperative, ER departments, general hospital floors”, and more. “The system can also be deployed from the patient’s bedside, and sync in real time to a centralized clinical command and control center,” he added.

Source VentureBeat

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KC Cheung
KC Cheung
KC Cheung has over 18 years experience in the technology industry including media, payments, and software and has a keen interest in artificial intelligence, machine learning, deep learning, neural networks and its applications in business. Over the years he has worked with some of the leading technology companies, building and growing dynamic teams in a fast moving international environment.
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