A system and method for managing the contents of a medical storage container such as a tray that has a required inventory of medical articles. A Faraday cage enclosure is used to isolate, scan, and inventory the container. The container and each of the medical articles in the container have a respective RFID tag. A processor is programmed to retrieve the inventory list for the container based on its tag and compare the actual contents of the container according to their tags to the inventory list. Missing items and extra items are noted.

A system and method for managing the contents of a medical storage container such as a tray that has a required inventory of medical articles. A Faraday cage enclosure is used to isolate, scan, and inventory the container. The container and each of the medical articles in the container have a respective RFID tag. A processor is programmed to retrieve the inventory list for the container based on its tag and compare the actual contents of the container according to their tags to the inventory list. Missing items and extra items are noted.

Methods and systems are provided for mapping clinical terminology with natural language processing. In one embodiment, an example method includes generating a word relationship graph for a plurality of mappings between a first code set and a second code set, receiving a first code of the first code set, and automatically mapping a second code of the second code set to the first code based on the word relationship graph. In this way, seemingly different code descriptions from different medical vocabularies may be automatically mapped to each other with reduced processing and reduced human intervention.

Methods and systems are provided for mapping clinical terminology with natural language processing. In one embodiment, an example method includes generating a word relationship graph for a plurality of mappings between a first code set and a second code set, receiving a first code of the first code set, and automatically mapping a second code of the second code set to the first code based on the word relationship graph. In this way, seemingly different code descriptions from different medical vocabularies may be automatically mapped to each other with reduced processing and reduced human intervention.

A quality system comprising a computer system and an analyzing system adapted for analyzing samples of particles collected from air from an agricultural group location. The analyzing system is configured for receiving a plurality of samples of particles collected at the agricultural group location, for performing at least one quantitative, biological element determination of each of the received samples; and transmitting sub-sets of data to the computer system, which correlates the data sub-sets with reference data. The reference data represents reference quantity of the biological element as a function of time correlated to the quality parameter and comprises at least one threshold quality parameter of the biological element as a function of time. The determination of the quality parameter comprises determining quantity of the biological element as a function of time and wherein the computer further is configured for determine the quality parameter relative to the at least one threshold quality parameter.

A method for using a health information exchange system which stores patient record data regarding a multiplicity of patients, to serve a first plurality of EMRs each interacting with an EMR community including a set of at least one EMR, the method comprising: for each individual EMR within the first plurality of EMRs, performing a computerized context interception process using a processor to intercept context from the individual EMR and to identify there within an event whereby a health provider using the individual EMR calls up an individual patient's record from said individual EMR; and responsive to identification of the event, using a computerized output device for providing patient record data, pertaining to the individual patient, to the health provider.

A cable manager includes a backbone assembly and at least one side wall extending from the backbone assembly. The at least one side wall optionally includes one or more cable finger units. The backbone assembly includes a spine member having an extruded construction. The spine member includes one or more channels extending substantially an entire length thereof to facilitate easy attachment, removal and/or repositioning of a structure relative to the spine member. The cable manager optionally includes an accessory rod, a half-spool assembly, a cable finger accessory, a strap/buckle accessory, and/or a door assembly having an interference-free hinge set.

A cable manager includes a backbone assembly and at least one side wall extending from the backbone assembly. The at least one side wall optionally includes one or more cable finger units. The backbone assembly includes a spine member having an extruded construction. The spine member includes one or more channels extending substantially an entire length thereof to facilitate easy attachment, removal and/or repositioning of a structure relative to the spine member. The cable manager optionally includes an accessory rod, a half-spool assembly, a cable finger accessory, a strap/buckle accessory, and/or a door assembly having an interference-free hinge set.

The invention concerns a method determining an optimum drug dosing regimen to treat a patient efficiently against drug-sensitive pathogenic agents. From relevant patient-related data and the drug concentration measured at a random time in the patients body, the method estimates the drug concentration time-course based on a Bayesian model. The residual concentration (C.sub.r) and an efficiency pharmacokinetic parameter (PPE) adapted to said drug and patient are computed from the estimated concentration. A dosing regimen is then determined by comparing the PPE to an efficiency target (CE) for efficiency purposes. The method further may further take into account toxicity constraints by comparing the residual drug concentration (C.sub.r) to at least a toxic concentration (C.sub.tox). A concentration of said drug is determined (E13) based on the result the above comparisons to provide a proposed dose for said optimum dosing regimen.

The invention concerns a method determining an optimum drug dosing regimen to treat a patient efficiently against drug-sensitive pathogenic agents. From relevant patient-related data and the drug concentration measured at a random time in the patients body, the method estimates the drug concentration time-course based on a Bayesian model. The residual concentration (C.sub.r) and an efficiency pharmacokinetic parameter (PPE) adapted to said drug and patient are computed from the estimated concentration. A dosing regimen is then determined by comparing the PPE to an efficiency target (CE) for efficiency purposes. The method further may further take into account toxicity constraints by comparing the residual drug concentration (C.sub.r) to at least a toxic concentration (C.sub.tox). A concentration of said drug is determined (E13) based on the result the above comparisons to provide a proposed dose for said optimum dosing regimen.