CASE STUDY

Automated Medical Transcription
to Reduce Physician’s Burnout

Client is a group of physicians delivering healthcare services across U.S. We helped Physicians automate the clinical documentation process with digital scribes for faster transcriptions, as well as real-time diagnostic analysis using speech recognition and NLP techniques. 

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 

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

Let’s get started

Find out how Sparity uses AI in Medical Transcription

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