The app provides local susceptibility patterns for antibiotic selection. Users select a bacterium and patient group to view antibiotic susceptibility proportions for their local laboratory.
Calculate -related metrics using the Combined Assessment, BODE Index, ADO Index, and Revised Cardiac Index. Input patient data to evaluate severity and predict survival. Generate reports and track changes over time.
Healthcare clinicians can capture and securely upload patient clinical multimedia, including photos and video. Files are automatically sent to a secure clinical software solution with full audit trails.
Record and organize patient histories with structured templates and customizable Chief Complaint Panels. Generate tailored questions for common symptoms using AI. Document physical exams with guided prompts. Save and share notes securely.
Access curated, evidence-based medical content for chronic obstructive pulmonary disease. Use voice-enabled natural language to navigate information. Retrieve clinical decision support tools and disease-specific guidelines directly on mobile devices.
The app offers a clinical decision support tool for Non-Small Cell Lung Cancer. Clinicians can access curated, evidence-based medical content by asking voice-enabled questions.
This clinical decision support tool offers curated, evidence-based medical content for psychiatric disorders. Clinicians can access information through natural language questions to aid in diagnosis and treatment.
Track symptoms and document changes in gait and . Record shunt settings and note any variations. Sync with HealthKit to view daily steps and distance traveled. Log entries for symptom monitoring and progress tracking.
The app presents a medical learning experience where users solve clinical mysteries. It features a levelling-up system to track progress and a practice round with randomly chosen cases.
The app introduces disease as disorder in body systems and functions, focusing on 100 common diseases. It covers normal function, pathology, signs, symptoms, and treatment rationales, organized by body systems.
Calculate surgical risk using clinical data to predict patient mortality. Input patient information to assess risk factors. Generate detailed reports with statistical analysis. Share results with healthcare professionals.