Data transmission capture in support of medication preparation

Abstract

A method and software interface enables selective processing of data transmissions containing one or more medication orders intended for a pharmacy. Data transmissions are monitored and parsed for prescribed information which is utilized to populate a prescribed data structure, The data structure and parsing rules can be associated with a specific source that can be determined from the data transmission. The parsed data is tested against an order database to determine suitability for automated handling. If suitable, the medication preparation system prepares the medications identified by the data. Those portions of the data that are not suited for automated handling are released (e.g., from the parser). Further verification can be performed by determining the source of the data transmission and verifying it as a valid source, Data transmissions can be monitored over a network, within a network component, or in cooperation with another software program.

1 - 28 . (canceled) 
     
     
         29 . A method for processing data of an order entry system, the data comprising medication data and specifying at least one dose order of medication suitable to be delivered to a patient, comprising:
 parsing, using a central processing unit, the data for prescribed information in accordance with a set of configuration rules;   determining, using the central processing unit with reference to an order database, suitability of the medication data in the parsed data for automated handling by an automated medication preparation system;   dividing the parsed data, using the central processing unit, into two mutually exclusive data comprising a first medication data that has been determined as being suitable for automatic handling by the automated medication preparation system and a second medication data that has been determined as not being suitable for automatic handling;   initiating a launch, using the central processing unit, of one or more automated medication preparation processes based on the first medication data to manufacture one or more doses that are suitable for delivery and administration to the patient, wherein each manufactured dose corresponds to the one or more medication data from the first medication data that was determined suitable for automated handling; and   directing, using the central processing unit, the second medication data, which was determined not suitable for automatic handling, to a printer as a filtered output consisting of only those jobs that require manual handling.   
     
     
         30 . The method of  claim 29 , further comprising:
 monitoring the data of the order entry system comprising the medication data using the central processing unit.   
     
     
         31 . The method of  claim 30 , wherein the monitoring step comprises monitoring incoming messages associated with the data of the order entry system as a transmission from the order entry system. 
     
     
         32 . The method of  claim 31 , wherein the data has an identifiable source. 
     
     
         33 . The method of  claim 32 , wherein the set of configuration rules are associated with the identifiable source. 
     
     
         34 . The method of  claim 29 , wherein the second medication data directed to the printer specifies at least a drug and a dose. 
     
     
         35 . The method of  claim 34 , wherein the second medication data specifies a patient name corresponding to the dose order in the medication data included in the second medication data. 
     
     
         36 . The method of  claim 29 , further comprising:
 determining whether the parsed data was received from the order entry system correctly;   writing an error to a database for parsed data that is in error; and   populating a data structure with a remainder of the parsed data, whereby parsed data not received correctly from the order entry system are not among the data in the populated data structure.   
     
     
         37 . The method of  claim 36 , wherein the data structure is compatible with the automated medication preparation system. 
     
     
         38 . The method of  claim 37 , wherein the data structure includes a plurality of data values assigned with a corresponding variable, wherein the plurality of data values comprise at least one of a patient name, a location, a drug code, a drug name, a dose, units, an administration date, an administration time, an order date, an order time, a checksum, label comments, an order type, and an order frequency. 
     
     
         39 . The method of  claim 38 , wherein the plurality of data values comprise each of a patient name, a location, a drug code, a drug name, a dose, units, an administration date, an administration time, an order date, an order time, a checksum, label comments, an order type, and an order frequency. 
     
     
         40 . The method of  claim 36 , wherein the first medication data and the second medication data include all of the data in the populated data structure. 
     
     
         41 . The method of  claim 36 , wherein the step of determining whether parsed data was received correctly includes reviewing data parsed from the order entry system in accordance with configuration rules associated with the data, 
     
     
         42 . The method of  claim 29 , wherein the one or more manufactured doses have a label applied to the dose in order to be suitable for delivery and administration to the patient. 
     
     
         43 . The method of  claim 29 , wherein none of the first medication data is included in the second medication data sent to the printer as part of the directing step. 
     
     
         44 . The method of  claim 29 , wherein the automated medication preparation system is configured to prepare one of intravenous doses, oral doses, or doses suitable for a specific therapy. 
     
     
         45 . The method of  claim 29 , further comprising saving the second medication data as a record in a database. 
     
     
         46 . The method of  claim 29 , wherein the data comprises medication data concerning a plurality of respective patients and specifies a corresponding plurality of dose orders of medication to be delivered to respective ones of the plurality of patients.