Quai.MD: Using AI to improve medical diagnosis
According to the US Health Department, more than 5% of patients are misdiagnosed when they reach emergency departments, where teams are often understaffed and operating under tight time constraints.
The artificial intelligence-powered platform created by Israeli MedTech startup Quai.MD aims to improve both diagnosis and treatment in acute care situations.
The platform seamlessly connects to a hospital’s Electronic Health Records (EHR). Using this data, along with triage assessments and expert opinions drawn from medical research, it proposes to medical staff the most likely diagnosis and best courses of action, Ariel Grossman at NoCamels reports.
“The application sits inside the EHR, and it helps the physician determine what the next step is for each of those potential diagnoses until they reach the decision to ultimately admit or discharge the patient,” says Shlomi Uziel, Co-founder and CEO of Quai.MD, which is currently funding on the OurCrowd platform.
What differentiates this technology from the competition is its automation of the entire clinical process, from initial diagnosis through suggested treatment options, Uziel says.
Diagnostic errors, bureaucracy and other inefficiencies cost the US economy tens of billions of dollars a year. Premature discharge following an ER visit could have disastrous results if the undiagnosed ailment is potentially fatal.
By automating and personalizing the clinical process, Quai.MD aims to improve care while cutting costs. And because it draws solely from medical journals and studies, and the patient’s medical history and treatments, the technology may also eliminate the gender, race and socioeconomic biases that some healthcare providers exhibit toward certain groups of patients.
Quai.MD is currently focused on chest pain, which has 60 potential diagnoses, Uziel says. The company is collaborating with the Mayo Clinic and the Medical University of South Carolina to finish developing the platform, and expects its platform to become operational at MUSC’s emergency room early next year.
The company is a seed-stage startup nurtured at OurCrowd’s Labs/02 incubator.
