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Abstract

A computer implemented method and system for improving drug treatment of patients in local communities by providing drug treatment protocols for particular disease states, such as Diagnosis Related Group (DRG) classifications. The protocol contains ranked recommendations for drug treatments of the disease state, and the computer system collects information about the risks and benefits of the drug treatments. The information collected about the treatments is used to modify the rankings of the drug treatments in the protocol. In one specific embodiment of the system, where the disease state has a microbial etiology and the treatments are antimicrobial drugs, the emergence of drug resistance is quickly detected by determining the percentage of microbial isolates that are found to be resistant to antimicrobial therapy in the community where the therapy is being provided (such as a community hospital or city-wide health care system). An increase in the percentage of resistant isolates produces a re-ranking of recommended drug therapies to avoid further use of the drug to which resistance has developed, and helps quickly introduce more effective drugs that will improve the effectiveness and lower the cost of treatment. In yet other embodiments, a sum of medication (e.g. dosing) errors and adverse effects (e.g. allergic reactions) are tracked by the system to identify drugs that are poorly tolerated in particular populations served by the hospital where the treatment is being provided. Data is collected about the safety and effectiveness of all types of drug therapies in the community being served, and this data is used to modify the drug protocols.

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First Claim