Monitor patient risk levels using EHR data. Receive alerts on new or increased risk patients. Review consolidated patient profiles for clinical insights and notifications. Track patient status changes and access predictive analytics.
by SAIVA, INC.★ 4.54 ratingsMedicalFreeData updated 2026-09-06
Allows therapists and patients to access practice management features. Users select their role during setup. Therapists manage appointments and patient records. Patients view schedules and treatment plans. The syncs with 5.0 software.
Track respiratory function with data from the Vitalograph® Lung Monitor. Record and view lung capacity measurements. Share reports with healthcare providers. Monitor trends over time. Set reminders for testing and follow-up appointments.
Track asthma symptoms and peak flow readings with daily reminders. Generate personalized asthma action plans based on real-time data. Access inhaler technique videos and provider tools for patient risk assessment and medication management.
Facilitates real-time communication between nurses and physicians. Allows members to send messages, request assistance, and access patient information. Supports secure collaboration across inpatient and outpatient environments.
Track patient post-surgery with real-time updates and notifications. Receive surgery-related alerts via email, SMS, and in- push notifications. Monitor conditions and view progress reports. Set reminders for follow-up appointments and medication.
Access guidelines for patient , including admission criteria, consultation protocols, and discharge procedures. View sample content for free, with full access available via in- purchase.
Search information with detailed profiles of FDA-approved medications. View clinical data, dosing guidelines, and interactions. Use AI tools for medication reviews and alerts. Access images and compare similar medications.
Track patient engagement, treatment progress, and medical records in one secure platform. Doctors can manage remote health monitoring and perform live interventions. Access personalised performance analytics to refine clinical practices.
Determine TB based on clinical symptoms and diagnostic factors. Input patient data to assess likelihood. Provide assessment summary for healthcare professionals. Does not replace clinical judgement.
Predict individual response to spironolactone therapy in HFpEF patients using a gradient-boosting model. Input patient data to estimate treatment effect. Provides research-based predictions for clinical validation.