TrakCare Integrations

ScribeHealth utilizes advanced AI technology to serve as a medical scribe that actively listens to discussions between patients and clinicians, transcribing and coding clinical notes in real time while requiring minimal input from healthcare professionals. This innovative solution boasts a high level of accuracy, adapts through user feedback, and allows most doctors to spend just a few minutes making adjustments instead of composing notes entirely from the beginning. It integrates effortlessly with various existing EHR/EMR systems such as Epic, Cerner, AllScripts, and Jane, through secure APIs, and complies with HL7/FHIR standards, ensuring that note syncing fits seamlessly into the daily routines of clinicians. With robust security measures including bank-level encryption, automatic deletion of audio recordings post-transcription, and strict adherence to HIPAA regulations, patient privacy is meticulously protected. Additionally, ScribeHealth provides valuable features like session analytics, speaker identification, and the ability to understand context for better extraction of symptoms and assessments, enhancing the overall efficiency of clinical documentation. This technology not only streamlines the documentation process but also empowers healthcare providers to focus more on patient care rather than administrative tasks.

Posos, a leading AI clinical-decision-support solution, helps clinicians customize every prescription to the patient profile using up-to date and multi-sources of medical data. Posos reduces the workload of providers while improving patient safety. It does this by comparing evidence-based data with EHR data to identify iatrogenic risk and reduce over-alerting. It offers potential drug substitutions that minimize side effects for the same or similar conditions. Posos API modules can be seamlessly incorporated into EHR software or ePrescription software. It has been successfully embedded in 15 EHRs and EMRs. It is based on the first native SNOMED-structured multilingual medical database.