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.

Client: Healthcare

Services: Speech Recognition, NLP

Year: 202

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

Table of Contents

Key Challenges
Technologies
Solution
Benefits

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

Our client experienced a 20% increase in appointment attendance by sending out reminders and obtaining confirmations
Reduced waiting period of patients by providing 24/7 patient service with automated calls, messages at low operational costs
Our solution saved more than 20hrs per month of doctor’s time to efficiently use it for better patient care rather than focus on support tasks
Increased patient satisfaction with faster, easier appointment scheduling

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