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Method and system for identifying and anticipating adverse drug eventsRelated Patent Categories: Data Processing: Financial, Business Practice, Management, Or Cost/price Determination, Automated Electrical Financial Or Business Practice Or Management Arrangement, Health Care Management (e.g., Record Management, Icda Billing)Method and system for identifying and anticipating adverse drug events description/claimsThe Patent Description & Claims data below is from USPTO Patent Application 20060074715, Method and system for identifying and anticipating adverse drug events. Brief Patent Description - Full Patent Description - Patent Application Claims
CROSS-REFERENCE TO RELATED APPLICATION(S) [0001] This application claims priority from U.S. provisional application No. 60/272,019, filed Feb. 28, 2001 the contents of which are incorporated herein in its entirety. TECHNICAL FIELD [0002] This invention relates to a method and system for managing and anticipating adverse drug events ("ADE"). More particularly, the invention relates to a method and system for integrating and using data from a medical facility's pharmacy and laboratory information systems to anticipate potential ADEs in a patient's medication regiment. BACKGROUND OF THE INVENTION [0003] A number of preventable patient care errors occur because the prescription of medication to a patient is done without first consulting a patient's laboratory results. Some patients have had drugs continuously administered to them for hours or days after toxic levels for that drug are recorded by the lab. Some patients have received particular medication long after the laboratory has documented signs of drug-related side effects. Others have received erroneous laboratory test results because their medication interferes with the laboratory tests they are undergoing. Still others have received medications even after the patient's lab result indicates that it is dangerous to do so. All these errors, and many more not mentioned, could have all been prevented if a patients laboratory results were consulted prior to prescribing or administrating a medication. [0004] These errors occur for many reasons. At times, a physician is ordering certain medications at a site remote from a medical facility and so is not able to review a patient's chart. At times, the physician isn't even aware of contraindications for certain medication because tests revealing those contraindications have not been performed or had not been recorded in a patient's chart. In some instances, even though contraindications for certain medications are documented, the physician simply fails to detect the contraindications from the patient's chart. Consequently, some oversight is needed in order to determine if mistakes are made or if an ADE might occur in a patient's medication regimen. [0005] Since a pharmacy department of a medical facility is typically responsible for filling all prescriptions and dispensing all medications to patients, it is often the only means for catching some of these errors. To that extent, some pharmacies have information systems in place that can alert the pharmacist that an ADE would occur between drugs administered to a patient. However, these information systems are typically limited to detecting a potential ADE between drugs administered to a patient These pharmacy information systems are not capable of predicting an ADE based on a patient's physiological condition, because these systems typically do not monitor or have access or have the capability to process a patient's laboratory results. [0006] A laboratory department of a medical facility typically performs tests and analyzes specimens (such as blood, urine, cell cultures, etc.) received from a patient and stores these results on a laboratory information system. In many instances, the test results and analysis on patient specimens are germane to the administration of medication. However, despite this symbiotic relationship between the laboratory and the pharmacy, these two departments and their work processes, personnel, and particularly their information systems, rarely effectively communicate with each other. [0007] In many clinical settings, there are a number of factors which prevent the integration of data from the laboratory and the pharmacy. Compatibility issues between the separate information systems is often a major roadblock to integration. The desire of each department to have information systems particularly adapted for their respective needs may be another. The cost of integrating data from both information system is certainly another prohibiting factor. As a result, there is a need for a commercial system that integrates and uses laboratory and pharmacy data to anticipate potential ADEs in a patient's medication regimen. [0008] Thus, significant improvements in patient care can be achieved by developing a cost effective, commercial, turnkey system that integrates data collected and stored in pharmacy and laboratory information systems and utilizes this data to anticipate potential ADEs in a patient's medication regimen. BRIEF SUMMARY OF THE INVENTION [0009] The present invention is a system and method for anticipating potential ADEs in a patient's medication regimen by integrating data typically located in laboratory and pharmacy information systems and filtering the data using predefined criteria. The present invention includes a system for anticipating a possible ADE through the use of a search engine that compares integrated data from laboratory and pharmacy information systems and compares it to predefined ADE rules defining normal ranges for a particular laboratory test. If an abnormal test value is received and a drug in the patient's medication regimen satisfies a drug included in an ADE rule then an alert procedure is triggered which allows for a period of time wherein the patient's lab and pharmacy data is monitored in order to determine if a proper corrective action is undertaken, and if no corrective action or an improper corrective action is taken within that period of time, the healthcare provider is warned of a potential ADE. [0010] In one embodiment, the ADE monitoring system is utilized in an application service provider environment (ASP) wherein the ADE monitoring system is comprised of at least one server having a communication link to a computer network. In this embodiment, a secure intranet provides the conduit through which data is downloaded from the medical facility, and users access the ADE monitoring system. [0011] In another embodiment, a method for detecting an ADE is disclosed which includes extracting information within pharmacy and lab data and respectively placing it into a normalized drug table or a normalized lab table. The data within these tables are then filtered by an ADE search engine which searches an ADE rule database to see if it matches any predefined ADE rule. If a match is made an alert procedure is activated. [0012] While several embodiments are disclosed, still other embodiments of the present invention will become apparent to those skilled in the art from the following detailed description. As will be realized, the invention is capable of modifications in various obvious aspects, all without departing from the spirit and scope of the present invention. Accordingly, the drawings and detailed description are to be regarded as illustrative in nature and not restrictive. BRIEF DESCRIPTION OF THE ATTACHMENTS [0013] FIG. 1 is a block diagram representing an embodiment of an ADE monitoring system in an application service provider environment. [0014] FIG. 2 is a diagram representing the hardware components of the ADE monitoring system of FIG. 1. [0015] FIG. 3 is a block diagram representing an alternative embodiment of an ADE monitoring system in a stand-alone environment. [0016] FIG. 4 is a diagram representing an embodiment of the ADE monitoring system. [0017] FIG. 5 is a block diagram representing an embodiment of a data import procedure. [0018] FIG. 6 is a block diagram representing an embodiment of an ADE monitoring procedure. [0019] FIG. 7 is an embodiment of an ADE rule. Continue reading about Method and system for identifying and anticipating adverse drug events... 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