Heart Failure [HF] vs Observe.

@Point of Care™ with Cognitive AI is a clinical decision-making mobile platform. Heart Failure @Point of Care™ provides a streamlined clinical decision support tool for clinicians to obtain content when it is needed—enabling better decisions, better outcomes, and better care. With @sk Cognitive AI, clinicians use @Point of Care™ to easily access curated, evidence-based, and disease-specific medical content. Clinicians navigate content by asking voice-enabled natural language questions. With Cognitive AI, confidence-rated answers to efficiently incorporate best treatment options happen more quickly and decisions are made faster to improve patient outcomes at the point of care. Heart Failure @Point of Care™ is designed to: • Support discovery and practice change • Provide relevant, evidence-based disease-specific medical content • Improve patient outcomes at the point of care Features: • Continually updated Heart Failure content • Topics in diagnosis, treatment, and care management developed with expert physician authors • Case studies, videos, and interviews • Access to actionable patient-recorded data • Detailed reference list with access to original sources • Continuing medical education credit (CME/CE) • Surveys and peer polling • Patient education resources to share with patients

Observe, user-friendly app designed for healthcare professionals to assess heart failure with preserved ejection fraction, featuring the Heart Failure Association (HFA) of the European Society of Cardiology (ESC) scoring systems: HFA-PEFF and H2FPEF (U.S. Score) guidelines. A precise tool to calculate HFpEF risk score using functional, morphological, and biomarker data. It gives a probability and percentage estimation of HFpEF, aiding diagnosis. However, it's not a substitute for professional medical advice or diagnosis. Healthcare providers should rely on comprehensive medical evaluations and their expertise when interpreting results.