Abstract: System and methods for preventing the coverage or fill of ineffective medications are provided. Genetic efficacy testing results are received at a pharmacy benefits manager (“PBM”) system from a laboratory information system. Medications reported as ineffective in the testing results are flagged as an allergy in an electronic patient record. Requests for coverage of medications are received at the PBM system from a dispensing pharmacy system and electronic notifications are issued to the dispensing pharmacy system where the medication is flagged as an allergy at the PBM system to prevent the flagged medication from being filled.

Abstract: A medical information providing system 1 includes a medication examination information extracting unit 21d and a database management unit 21e in a medication examination DB server 20. The medication examination information extracting unit 21d extracts information on clinical examination relating to a medication that requires clinical examination when it is prescribed from at least one of package insert data and prescription guideline data concerning functional decline of internal organs, for plural types of medications. In addition, the medication examination information extracting unit 21d generates a medication examination database in which the extracted clinical examination information on the medication and the medication are stored in association with each other.

Abstract: A medical intervention control system for providing a risk analysis and influencing intervention action on a patient, the system comprising: a database with a data set containing data from at least one data source comprising: a) study data; and b) sensed data; a waveform detector operable to identify a waveform from a data source, extract the waveform, categorise the waveform, normalise the waveform to a predetermined format and determine waveform characteristics and parameters of the waveform, the waveform detector populating part of the sensed data; a measurement module to derive subject data from the patient; an analyser operable to analyse the subject data with respect to the data set from the at least one data source and output an associated probability for each of one or more outcomes, wherein the associated probability is affected by an intervention, wherein the analyser takes subject data derived from the patient and tests for outcomes and potential interventions which influence the outcomes; an actio

Abstract: A central fill facility, drug dispensing system and method are provided in order to efficiently and accurately dispense a plurality of different drugs. The drug dispensing system includes a storage system configured to store a plurality of different drugs including a co-located inventory of a respective drug having both a first portion of the inventory of the respective drug to be dispensed pursuant to a predefined program and a second portion of the inventory of the respective drug that is not to be dispensed pursuant to the predefined program. The drug dispensing system also includes the dispensing station and dispensing control circuitry. The dispensing control circuitry is configured to control the dispensing station such that the first portion of the respective predefined program eligible drug is dispensed prior to dispensing the second portion of the respective predefined program ineligible drug.

Abstract: Embodiments related to a self-administered, behavior modification program facilitated through a structured tailoring method and system thereof which accelerates and enhances the internalization process of the individual, and which provides help when the individual begins to fail in adhering or continuing with the behavior modification are disclosed. Program instructions that when executed by a processor causes a processor to initiate automatically a schedule of events of a structured tailoring procedure upon entry criteria being met at some unknown time, provide intervention according to the intervention preferences when the adherence criteria for one of the events has not been met, and end automatically the structured collection procedure upon exit criteria being met at some unknown time.

Abstract: The present invention relates to a method for mapping heterogeneous medical data, the method comprising the steps of: generating domain clinic model ontology that defines a concept of arbitrary medical data collected from individual clinics and a relationship between the medical data; if SNOMED CT ontology that defines the concept and relationship of the domain clinic model ontology and standardized medical terms is loaded and the concept included in the domain clinic model ontology and/or the SNOMED CT ontology has a degree of similarity equal to or greater than a preset threshold value, determining that the concept has been mapped and generating a DCM-SNOMED mapping file for the mapping information; if vMR ontology describing the concept and relationship of data models defined by the SNOMED CT ontology and Health Level 7 standard is loaded and the concept included in the SNOMED CT ontology and/or the vMR ontology has a degree of similarity equal to or greater than a preset threshold value, determining that

Abstract: In some implementations, a first set of user activity data is received from a plurality of sensors where the first set of user activity data corresponds to a plurality of users. A task list of an objective is extracted from the received first set of user activity data based on patterns formed in the first set of user activity data in association with the plurality of users pursuing the objective. Based on determining a second set of user activity data indicates pursuit of the objective by a user, it is determined that at least a task of the task list is uncompleted by the user based on comparing the second set of user activity data to the task. Content corresponding to the task is provided to a user device associated with the user based on determining the task is uncompleted.

Abstract: Computer implemented systems and methods are provided for generating a predictive graphical user interface. In some embodiments, a system for generating a predictive graphical user interface may comprise at least one processor configured to receive real-time and historical data associated with utilization of a facility. The at least one processor may be configured to generate, based on the real-time and historical data, instructions to display a user interface depicting a first representation of utilization of the facility at a first time.

Abstract: Systems and methods are provided for adjustment of difficulty level, quantity, and/or other parameters of knowledge-based authentication. The questions may be asked of a consumer based on one or more generated risk scores associated with the consumer's behavior, which may be derived from information received from the consumer, a representative responsible for entering information regarding the consumer, and/or from the consumer's computing device.

Abstract: The present disclosure relates to methods and systems for obtaining a nutraceutical composition. The method comprises the use of genome-scale metabolic networks of microorganisms to identify nutraceutical compositions for one or more health conditions.

Abstract: A method, apparatus, and computer program product are provided herein to facilitate clinical diagram generation and interaction. Methods may include: providing for display of a clinical diagram, where the clinical diagram includes a depiction of the vascular system, where vessels of the vascular system include a plurality of vessel segments, where each segment is formed from a pair of cardinal splines and end lines between adjacent ends of the cardinal splines; providing for generation of a clinical report associated with the clinical diagram; and populating the clinical report in response to user input received in the clinical diagram, where the user input is indicative of at least one clinical finding and a location corresponding to the user input based on a segment selected by the user input.

Abstract: A system that incorporates teachings of the present disclosure may include, for example, a processor operable to determine whether a correlation exists between first products or services consumed by a subscriber leader and second products or services consumed by a plurality of subscriber followers. The first and second products or services can be distributed by a media service provider over a communication system and can be consumed by way of one or more media processors. The processor can be further operable to identify a plurality of market sector classifications for each of the second products or services consumed, to assess a plurality of values of consumption for the plurality of market sector classifications, and to determine a plurality of marketable values for the subscriber leader. Other embodiments are disclosed.

Abstract: A subject is prescribed short and long acting insulin medicament regimens. When a qualified fasting event occurs, the basal insulin sensitivity estimate of the subject is updated using (i) an expected fasting blood glucose level based upon the long acting insulin medicament dosing specified by the long acting regimen during the fasting event, (ii) glucose measurements contemporaneous with the fasting event and (iii) a prior insulin sensitivity factor. A basal insulin sensitivity factor curve is calculated from the updated basal insulin sensitivity estimate. A bolus insulin sensitivity estimate of the subject is updated upon occurrence of a correction bolus with a short acting insulin medicament using (i) an expected blood glucose level based upon the correction bolus, (ii) glucose measurements after occurrence of the correction bolus, and (iii) a prior insulin sensitivity factor. A bolus insulin sensitivity factor curve is calculated from the updated bolus insulin sensitivity estimate.

Abstract: Embodiments of the invention include methods, systems and computer program products for predicting customer purchasing behavior. Aspects include receiving, from a sensor, first customer sensor data about a first customer in a store, wherein the first customer sensor data includes accompaniment data about one or more accompaniments of the first customer. A determination is made that the first customer is known based at least in part on the first customer sensor data. Based at least in part on determining that the first customer is known, a customer profile for the first customer is accessed, wherein the customer profile includes historical customer data. The accompaniment data and the customer profile are analyzed to determine a first sales strategy for the first customer. One or more sales techniques can be generated based on the sales strategy for the first customer.

Abstract: Methods and systems for providing fluid resources are disclosed. A system or method may comprise developing an accurate fluid resource need that allows for expedited true up of fluid resource deliver from resource suppliers to a utility provider. The system and methods for delivering a fluid resource may include calculating a regression line based on fluid resource usage, and an associated temperature during the usage period, and a forecasted temperature for a future time period when the fluid resource will needed. The regression line may be used to obtain the amount fluid resource needed from resource suppliers for deliver by a utility provider to customers.

Abstract: The present invention patent refers to a system for vascular-surgery simulation that corresponds to an equipment and system designed to produce, by means of 3D printing using a 3D printer, real images of the aorta of the patients obtained by imagined examinations such as computed tomography and/or nuclear magnetic resonance in order to enable doctors to acquire complex skills and/or to refine their operating techniques, training in a controlled environment and with suitable guidance, without putting the patient at risk, being characterized in that it comprises connectors (2) made of silicone, pulsating flow pump (3), negatoscope (4), black box (5), camera (not shown) and monitor (6) such as to reproduce, in silicone or translucent resin, the aortic arch, thoracic aorta, abdominal aorta and the iliac arteries.

Abstract: According to one or more embodiments herein, a machine-learning algorithm is provided that uses current and past clinical data in order to accurately and precisely predict the future onset of mild cognitive impairment (MCI) and dementia for individual patients, thus enabling early identification of those having high risk for Alzheimer's disease. In particular, a newly defined “All-Pairs” technique combines data from each doctor's visit for each patient with data from each of the patient's other doctor's visits. By correlating clinical data obtained from patients at one time point with the progression of Alzheimer's disease in the future, the techniques herein are able to increase the likelihood of identifying Alzheimer's disease patients at early stages.

Abstract: A device management system contemplates scheduling connected devices and personnel for tasks, monitoring the ability of the devices to perform the scheduled task by checking in with the devices based on their uses and locations, and to modify the functioning of the devices according to the tasks scheduled for the devices and their uses. Additionally, the system can incorporate uncommunicated “dumb” devices into the scheduling of tasks and track and manage those devices.

Abstract: Forecasting a potential audience size and an unduplicated audience size for a digital campaign includes receiving an audience segment input and a time period input. The audience segment input is converted into multiple atomic target specifications. For each of the multiple atomic target specifications, a potential audience size is determined during the time period input by selecting a time series model based on a frequency of attribute values from the atomic target specification and combining the selected time series model with a frequent item set model. The potential audience size for each of atomic target specifications is aggregated over the time period input into a total potential audience size. The total potential audience size is output. The time series model and the frequent item set model are obtained using data from a historic bid request database.

Abstract: In one example, a method for data storage capacity planning includes receiving a data metrics stream that includes information concerning a client-generated data stream, receiving information concerning a data storage capacity of the client, and analyzing the received data metrics. Based on the analysis of the data metrics and based on the information concerning the data storage capacity of the client, a projected data storage capacity requirement for the client is generated. Finally, data storage assets that correspond to the projected data storage capacity need are identified.