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Rooting out guesswork from drug interactions

Towards informed prescriptions and positive outcomes

Drug prescriptions are central to any clinical practice. Specifically, with patients who are on multiple drugs or treatments, doctors often end up working in silos. Suja’s EMR solution relies therefore on SCHOLZ DataBank’s MDDI technology to enable doctors to prescribe medicine and dosage that minimise negative drug interactions and improve positive outcomes for their patients.

Built on artificial intelligence tools and principles, the solution works in real-time even as the doctor has finished prescribing the drug. Integrated into the patient’s EMR, the solution cross-references for any adverse drug reactions. This helps doctors to adjust dosage that is safe and effective for the patient.

The solution’s AI capabilities also factor-in information from diagnostic reports before alerting the doctor on dosage and even negation on a particular choice of drug. Already rolled out for years in Europe, the MDDI solution works with any EMR solution.

Intelligent, integrated and informed

Informed drug decisions with AI

MDDI enables doctors to take informed decisions on drug selection, dosage and line of treatment for patients. By rationalising prescriptions, the solution also becomes instrumental in delivering effective clinical practice for doctors and positive outcomes for patients.

Seamless with EMR and diagnostics

Suja’s EMR solution integrates with even legacy EMR platforms, thereby providing SCHOLZ DataBank’s new MDDI technology and eliminating the costs of re-engineering at the same time. This also helps doctors and patients to access multiple prescriptions through one EMR.

Lowers disease burden

Since the solution helps doctors to control drug dosage and adverse reactions, it eliminates over-treatment and prescription redundancy, thus lowering the overall disease burden.

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A technology services and solutions company that works on healthcare technology development for the future of healthcare.