Nowadays the horizon of the information technology is expanding in every field from business to healthcare. Despite of such advancement in IT, the healthcare sector still incurs a loss of $1 trillion in medication errors, of which the US economy alone accounts a loss of $21 billion. Dosing errors, drug allergies and harmful drug interactions constitute 50% of these errors. These loses has stimulated the need of better clinical- decision making by integrating state of the art knowledge with medical records system. Clinical decision support system (CDSS) can reduce the medication error by over 85% through the deployment of the e-prescribing system, Barcode, Electronic Medication Administration System (eMAR) and Computerized Physician Order Entry (CPOE). CDSS assists physicians and health professionals with clinical decision- making tasks supporting them in diagnosis and treatment. With the rise of artificial intelligence and data analytics, it is expected that CDSS would expand in manifold in the coming decade. Because within the coming decade, machines capable of deciphering physicians’ notes from hospital or clinic encounters, radiology and procedure reports, prescription and lab results data would be more commonly in use as compared to present scenario.