Yesterday, digital health startup Mediktor completed a $3.5 million Series A round of financing.
This round of financing was led by Alta Life Sciences, which also included Castel Capital, Naos and several other individual investors.
Mediktor's core technology is the Artificial Intelligence Diagnostic System, which created the first health-intelligence-based health check system to provide pre-diagnosis, triage and decision support services to patients in real time, either online or via APP. Self-diagnosis. The system combines AI, natural language recognition technology and patient data on the basis of big data to detect symptoms and provide possible conditions and recommendations, even to connect with medical professionals in the health care network.
Mediktor's diagnostic tools are currently in use in more than 200 countries and regions, and the diagnostic accuracy is comparable to that of doctors who have been practicing for 40 years. The diagnosis rate is as high as 91%, and it can avoid misdiagnosis and misdiagnosis in manual diagnosis. For every 100 times Mediktor, an average of 4.5 emergency patients can be avoided.
Josep Carbo, head of global business development at Mediktor, said in a Health 2.0 sponsorship meeting last month: “In fact, what we are trying to do is provide the best care for users on a case-by-case basis in specific situations, so we need to evaluate their symptoms online. Based on the results of the assessment and the health system and telemedicine standards we have reached with our clients, we recommend what the patient should do next."
At present, many pre-diagnostic tools cannot protect people's health data. Although HIPAA can protect certain categories of information, such as patient's account number and password, it does not protect patients' online symptoms, personal pictures, etc. Information, therefore, the patient's health data is typically stored and sold to advertisers. Mediktor's pre-diagnostic tool protects patient personal information, and the white-labeled AI symptom checker can safely store patient data. If the user chooses telemedicine consultation or diagnosis, their health data will not be sent to anyone other than the clinician.
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