WiseTREND Launches WiseEHR to Automate Patient Data Processing
February 2025: WiseTREND, a trusted provider of Intelligent Document Processing (IDP) solutions, is excited to announce the launch of WiseEHR. The new solution is designed to automate the extraction of patient data from medical documents, significantly improving the operational efficiency of healthcare organizations.
WiseEHR automates data entry from scanned medical records, photos, emails, faxes, and other sources, reducing manual handling and input time, allowing staff to focus more on patient care.
Powered by advanced Optical Caracter Recognition (OCR), Natural Language Processing (NLP) and Machine Learning (ML) technologies, WiseEHR ensures efficient data capture and accurately extracts key information from medical records, including diagnoses, treatments, test results, medications, and more. This data can then be seamlessly exported into EHR or other medical systems, ensuring it is easily accessible and helping healthcare professionals improve decision-making processes.
Key Features of WiseEHR:
- Highly accurate and reliable results: Powered by advanced IDP technology, WiseEHR offers outstanding data extraction accuracy—up to 90% out-of-the-box and 99%+ after training.
- Seamless integration: Compatible with various infrastructures, WiseEHR integrates easily into existing workflows using standardized formats like X12N 835.
- Robust data security: WiseEHR is designed with security in mind, ensuring patient data is handled securely and in compliance with HIPAA and other industry standards.
- Flexible deployment options: Available both on-premise and in the cloud.
“We understand how critical it is for healthcare institutions to have access to accurate, up-to-date patient information. With WiseEHR, we’re not just speeding up the process — we’re creating more time for what truly matters in healthcare: people, care, and relationships,” said Ilya Evdokimov, CTO of WiseTREND.
WiseEHR allows healthcare organizations to enhance the quality of patient data management, reduce administrative costs, and cut down the time spent processing data. This solution offers new opportunities for improving efficiency, safety, and overall patient care in healthcare settings.