Antimicrobial resistance (AMR) has become a worldwide health problem, killing around 700,000 people every year. Inappropriate empirical antibiotic therapies are commonly used and tend to be ineffective against resistant bacterial strains, which contributes to an exceptionally high mortality rate seen in hospitalized patients. Nonetheless, knowingly prescribing antibiotics that may be rightly ineffective poses a challenge exacerbated by the absence of a strong scientific basis for an empirical antibiotic prescription.
Solution Overview
The WHO has identified antimicrobial resistance (AMR) as a global threat. Tech Mahindra’s AI-based AMR tool helps clinicians predict resistant strains and suggests effective antimicrobial treatments, such as urinary tract infections and acute pyelonephritis, without conducting clinical tests. It leverages patient history to determine antibiotic resistance, aids in initial drug choice and referrals, and ultimately improves patient outcomes.
Industry Challenge
Solution Highlights
Solution Benefits
- Achieves up to 40% reduction in empirical antibiotic therapy failures through accurate resistance predictions
- Increases successful treatment rates by 35% based on AI-driven insights
- Reduces diagnosis time by 25% and enables quicker and more effective interventions
- Cuts unnecessary antibiotic use by 30% and lowers treatment costs and resource wastage
- Improves clinician decision-making efficiency by 20%
- Boosts diagnostic data accuracy by 50% through integrating EMR/EHR systems
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