Dedalus Integrations

ScribeHealth employs cutting-edge AI technology to function as a medical scribe, attentively capturing conversations between patients and clinicians, while transcribing and categorizing clinical notes in real-time with minimal input needed from healthcare professionals. This groundbreaking solution demonstrates impressive accuracy, learns and evolves through user feedback, allowing most physicians to make only a few quick edits instead of drafting notes from scratch. It integrates smoothly with a variety of existing EHR/EMR systems such as Epic, Cerner, AllScripts, and Jane via secure APIs, while also adhering to HL7/FHIR standards to ensure that note synchronization fits effortlessly into the everyday workflow of clinicians. With strong security measures in place, including bank-level encryption, automatic deletion of audio files after transcription, and strict compliance with HIPAA regulations, patient confidentiality is rigorously safeguarded. Moreover, ScribeHealth offers additional features like session analytics, speaker recognition, and improved context comprehension for more effective extraction of symptoms and assessments, thus elevating the overall efficiency of clinical documentation. By enhancing the documentation process, this technology allows healthcare providers to devote more time to patient care instead of getting bogged down by administrative responsibilities, ultimately leading to improved outcomes for patients and providers alike. Consequently, ScribeHealth not only increases productivity but also fosters a more focused and attentive healthcare environment.

Posos stands out as a premier AI-driven clinical decision support system that empowers healthcare providers to tailor prescriptions specifically to each patient's unique profile by leveraging comprehensive and current medical information from various sources. By alleviating the burden on healthcare professionals and enhancing patient safety, Posos effectively integrates evidence-based data with electronic health record (EHR) information to pinpoint potential risks and reduce unnecessary alerts. Additionally, it suggests alternative medications that can minimize adverse effects while treating comparable medical conditions. The system's API modules can be effortlessly integrated into existing EHR and ePrescription platforms, with successful implementation across 15 different EHR and EMR systems. Notably, it utilizes the first-ever native SNOMED-structured multilingual medical database, ensuring a wide-reaching and adaptable framework for clinical support. This innovative approach not only streamlines the prescription process but also promotes a more personalized healthcare experience for patients.