Automated Medical Transcription
to Reduce Physician’s Burnout

Key Challenges

• Physicians were spending most of their time on clinical documentation of patient encounters and this was impacting the quality of healthcare
• Only around 40% of doctor’s time was left to meeting patients, while the rest was spent on administration. Freeing up doctor’s time for patients was their focus 
• They also wanted to reduce the manual process of transcription which at times can be error prone leading to huge operation costs 

Technologies used

Solution:

• To address the challenges of our client, we suggested that we implement a digital scribe/AI Medical assistant that can:
• Record the Physician – Patient conversation
• Convert the audio into text and
• Extract the relevant information for the summarization of the patient encounter
• Developed a digital scribe using Speech Recognition libraries, AI and ML techniques to record and transform clinical interactions into meaningful medical notes through ambient listening and subsequent voice-to-text conversion.
• Implemented NLP techniques to mine useful data from transcribed medical notes such as symptoms, diseases, and prescription etc.
• This data was used for better report generation which helped physicians save time when going through patient’s health records
• With the solution, physicians and clinicians can document and record the patient interactions on their mobile, laptop or directly into the EHR systems

Benefits:

• Improved physicians’ productivity by 30% as they don’t spend much time on documentation
• This solution also enhanced the clinical information workflow for better accessibility of data
• Increased overall transcribing accuracy and reduced administrative costs due to minimal human involvement