arrow left OUR CASE STUDIES

HealthContext.AI

An AI transcription service for telehealth encounter documentation

Healthcare, Machine Learning, Product Design + Development

Create more value from what you already do.

Save providers time

Reduce time & effort, while increasing efficiency.

icon of a metrics chart

Maximize reimbursements

Improve documentation for maximum reimbursement.

icon of a checklist

Quality clinical impact

Begin leveraging telehealth data for clinical impact.

Target Robot came to us with an opportunity, that telehealth is growing and not going away. 

In fact, Telehealth is part of the growth of virtual care that accounts for 20% of all healthcare spending. 

  • Paradigm shift to telehealth and the growing health at home trend, brought on by the pandemic and the aging population
  • Fill in telehealth encounters wherever possible to increase efficiency and reduce costs
  • Telehealth has become the starting point for most non acute care. It saves patients considerable time just in scheduling and transportation
  • Telehealth has become a core component of improving access to underserved communities
  • And while telehealth is growing, providers are tackling unprecedented burnout

How can Digital Scientists partner with Target Robot to come up with a viable, flexible application that can automate the transcription of these telehealth appointments, while ensuring documentation and billing needs?

Telehealth-opportunity-mckinsey

Designed and developed a scalable application that works to fully document encounters.

Based on well thought out design, we approached development with the goal of creating a flexible application that can automate the transcription of these telehealth appointments, while ensuring documentation and billing needs.

Our application focused on:

  • Reduction of documentation time
  • Reduction of compliance risk
  • Increased ROI from accurate coding
  • Increased usage of evidence based care

Scale your telehealth practice.

REAL-TIME TRANSCRIPTION
Utilizing powerful machine learning and speaker diarization, HealthContext allows users to focus on their patients rather than documentation.

AUTOMATED CODE ANALYSIS
Automated analysis for clinical documentation with smart ICD-1o code suggestions and accurate CPT codes.

CLINICAL NOTE + SUMMARY
Provide accurate SOAP notes based on the interaction, with summary of encounter.

PERSONALIZED CARE
Reference historical data on the patient to personalize the approach Export of draft clinical note based on standard template

AWS
OpenAI Black
Chat GPT
  • AWS medical comprehend
  • OpenAI Whisper transcription
  • Chat GPT-4

Improve your telehealth encounters.
Schedule a free consultation.