Use Cases · 2025

How Physicians Use Clinical Decision Support AI

5 core use cases where AI-powered clinical decision support tools deliver measurable value at the point of care.

Differential Diagnosis

AI-powered differential diagnosis tools help physicians generate comprehensive lists of potential diagnoses from patient presentations, reducing cognitive bias and diagnostic errors. According to a 2014 study published in BMJ Quality & Safety, diagnostic errors affect approximately 12 million US adults annually in outpatient settings.

Ranked differential diagnosis lists generated f...Coverage of both common and rare conditions to ...Evidence-linked reasoning with citations to pee...

4 tools evaluated

3 related use cases

Drug Dosing & Medication Safety

Clinical decision support tools for drug dosing help physicians calculate weight-based dosing, adjust for renal and hepatic impairment, and check for drug-drug interactions. According to the Agency for Healthcare Research and Quality (AHRQ), adverse drug events affect approximately 2 million hospital stays annually in the United States.

Weight-based dosing calculations with pediatric...Renal and hepatic dose adjustment recommendationsComprehensive drug-drug interaction checking

3 tools evaluated

3 related use cases

Treatment Option Comparison

AI-powered treatment comparison tools help physicians evaluate and compare evidence for different therapeutic approaches side by side. These platforms synthesize clinical trial data, guideline recommendations, and real-world evidence to support shared decision-making between physicians and patients.

Side-by-side comparison of treatment efficacy, ...Synthesis of clinical trial data, guidelines, a...GRADE-rated evidence strength for each treatmen...

3 tools evaluated

3 related use cases

Clinical Risk Score Calculators

Clinical risk score calculators help physicians apply standardized, validated scoring systems to stratify patient risk and guide clinical decisions. Tools that calculate scores such as CHA2DS2-VASc (stroke risk in atrial fibrillation), HEART score (acute coronary syndrome), Wells criteria (pulmonary embolism), and CURB-65 (pneumonia severity) reduce variability in clinical decision-making and ensure evidence-based thresholds are applied consistently.

Validated clinical risk score calculators (CHA2...Evidence-based threshold recommendations linked...Integration with EHR systems to auto-populate p...

2 tools evaluated

3 related use cases

Evidence-Based Clinical Guidelines

Clinical guidelines from organizations such as the AHA, IDSA, ACOG, and ATS form the foundation of evidence-based practice. With an estimated 3,000 or more new biomedical articles published each day, keeping up with the latest evidence is a significant challenge for practicing physicians.

Comprehensive indexing of guidelines from AHA, ...GRADE evidence rating system for transparency i...Automated alerts when guidelines are updated or...

4 tools evaluated

3 related use cases