Compare ISC Open Sourced EMR vs. See-Mode in 2025

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Description

Infomedic System is an open-source electronic medical record (EMR) service provider located in Toronto, Ontario, Canada. Established in 2006 by a collective of healthcare and technology experts, Infomedic aims to deliver a comprehensive clinical management software solution paired with exceptional service standards. The company is adept in the installation and customization of EMR systems, offering features such as a Patient Reminder System and Online Booking, as well as technical support through multiple channels including phone, email, text, and a ticketing system. Infomedic's services extend to the integration of EMR systems across various medical facilities, catering to practices ranging from individual doctors to large enterprises. Their clientele encompasses multi-site medical offices, surgical centers, and diagnostic imaging facilities like ultrasound and X-Ray centers throughout the country. Furthermore, Infomedic's EMR software is tailored to meet the needs of diverse healthcare sectors, including dentistry, optometry, physiotherapy, chiropody, chiropractic services, and retirement homes, with specific system customizations available for each. This versatility in their offerings underscores Infomedic's commitment to enhancing healthcare delivery in Canada.

Description

See-Mode Technologies is a MedTech firm focused on utilizing AI to enhance ultrasound reporting, thereby boosting both diagnostic accuracy and operational efficiency. Their innovative platform swiftly analyzes ultrasound images of the thyroid and breast, resulting in rapid and precise radiology reports. By identifying, measuring, and characterizing nodules, See-Mode produces a comprehensive TI-RADS sonographer worksheet along with initial impressions for radiologists. In the realm of breast imaging, the software not only detects lesions but also automates the BI-RADS reporting process, offering detailed insights into lesion characteristics and levels of suspicion. This advanced technology minimizes inter-operator variability and reduces the likelihood of reporting errors, ultimately strengthening diagnostic confidence and ensuring consistency. By streamlining the reporting process, See-Mode facilitates more informed clinical decisions, which can lead to better patient outcomes.