Now available in public preview, the offerings are designed to help organizations and individuals pull clinically-relevant insights from large volumes of free text housed in medical records.
The first of these two offerings looks to automatically extract common trends or other insights from medical records notes or other digital text that would normally require time-intensive manual review. According to the company, the machine learning tool discerns clinically relevant information based on the context of surrounding language, allowing the technology to, for instance, distinguish between past and newly prescribed medications.
- AMA Unveils 2 Vaccine-Specific CPT Codes for Coronavirus Immunizations
- Remote Patient Monitoring Innovation Challenge Showcase by Adaptation Health
- Machine Learning to Predict Efficacy of Anti-Cancer Drug
- Malpractice Claims Report: EHR Documentation Errors Still Far Too Common
- Pandemic-era burnout: Nurses in the trenches say technology hurts and helps