Identify, Predict & Track Patients at Risk for COVID-19
Pieces Technologies Unveils New Intelligent Software to Support Health Systems in the Fight Against the Novel COVID-19
Healthcare AI company, Pieces Technologies, announced it has developed a COVID-19 module that will aid health systems’ response to the novel coronavirus. Using the company’s proprietary AI framework, Pieces DS, a specifically configured COVID-19 module will track potentially at-risk patients, pre and post testing; monitor patients for clinical deterioration directly in a hospital’s electronic medical record; and support resource planning and risk stratification for health system administrators.
Pieces Technologies unveils new intelligent software to support health systems in the fight against the novel coronavirus
“We want to do everything we can to help healthcare providers in the fight against COVID-19,” said Ruben Amarasingham, MD, Founder and CEO of Pieces Technologies. “We believe Pieces can assist doctors, nurses and infection control teams in identifying and following at risk patients in the face of increasingly significant numbers of ill and critically ill patients.”
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ICU triage decisions, outcomes management and capacity planning for hospitals has become a critical issue with the influx of patients with COVID-19 symptoms. The Pieces software looks at all data points, including labs, doctor’s notes, and screenings, in real time, to predict patients who may need more intensive care support, and also monitors patients as they move through the healthcare system and into the community to create a comprehensive COVID-19 registry.
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“We work with major health systems across the United States, and it became quite clear early on that our machine learning and AI capabilities, together with our software, would provide priceless value under these conditions.” said Fayiaz Chaudhri, President of Pieces Technologies. “Our data science teams moved quickly to optimize and deploy our software to support health systems on the front-lines battling this epidemic.”
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