Case Study: Mediphany achieves faster, more accurate radiology reporting with Scopic AI speech-to-text automation

Mediphany achieves 85% transcription accuracy with Scopic

Mediphany, a company specializing in simplifying medical imaging results, faced the challenge of radiologists spending up to 11 hours per week on administrative tasks and report creation. This time-intensive process was hampered by inflexible templates and a need for greater accuracy. They partnered with the vendor Scopic to develop an AI-driven radiology software solution to automate this reporting.

Scopic implemented a solution using AI speech-to-text technology, leveraging models like OpenAI's GPT-4 and Deepgram's Nova-2-Medical. The system transcribes spoken input, maps it to the correct report template, and integrates into Mediphany's desktop application. This resulted in 85% transcription accuracy, significant time savings for radiologists, and a streamlined workflow, allowing them to focus more on patient diagnosis and care.

Mediphany