Abstract: A method of optimizing healthcare services consumption according to the invention includes the steps of assessing the healthcare situation of an employer providing healthcare benefits to a population, identifying a first group of patients from the population likely to generate expensive healthcare claims based on data representing past claims, periodically determining whether patients in the first group have satisfied certain predetermined healthcare requirements, identifying a first group of providers who provide high quality, cost efficient healthcare services based on the practice patterns of the providers, prompting patients who have not satisfied the predetermined healthcare requirements to obtain services from providers in the first group, and responding to healthcare requests from patients by determining whether the requesting patient is seeking services from a provider in the first group, and, if not, urging the patient to obtain such services from a provider in the first group.

Abstract: Systems and methods are described for automatically identifying fraud, waste or abuse in health insurance claims submitted to insurance companies by healthcare providers. Insurance claim information and at one image associated with the insurance claim may be received, where the image has been submitted by a healthcare provider to an insurance carrier as supporting evidence of a medical service performed by the healthcare provider. The system may generate a digital signature representing the image, then may compare the digital signature generated for the image to previously generated digital signatures of other images that have been submitted in association with other insurance claims. The system may then determine a likelihood that the given insurance claim is associated with fraud, waste or abuse, based in part on whether the digital signature is identical or close to one or more of the previously generated digital signatures.

Abstract: A medical condition based content filter mechanism is provided that analyzes patient information associated with a patient to identify medical condition(s) associated with the patient and correlating the medical condition(s) with one or more medical condition content indicator data structures specifying negative content indicators and/or positive content indicators. A user specific content indicator dictionary data structure (USCID) is generated based on the correlation and used to process received content to filter out portions of the content matching the negative content indicators or present portions of the content matching the positive content indicators, thereby generating modified content that is output to the patient via a content access application executing on a computing device associated with the patient.

Abstract: A method for providing prediction based healthcare recommendations is performed by a healthcare prediction server. The method includes receiving an emergency room services request from a patient. The method also includes receiving a first portion of the plurality of historical claims data. The first portion includes associated historical outcome data. The method further includes applying a geospatial prevalence engine to the first portion of the plurality of historical claims data and the requestor location to identify at least one locally prevalent disease. The method additionally includes applying a claims processing engine to the first portion of the plurality of historical claims data and the requestor identifier to determine whether the patient is associated with at least one prior avoidable emergency room claim. The method includes predicting that the emergency room services request is associated with an avoidable visit. The method further includes transmitting an alternative services request.

Abstract: Methods and systems for providing health professionals with continued education are based on performance gaps identified from patient data available in transactional systems of record. The methods can include creating a repository of educational material, measuring patient and team level performance gaps, associating the identified performance gaps with appropriate educational material, alerting the person about the appropriate educational material, capturing a user's interaction with the educational materials, and issuing credits or rewards for substantial consumption of the educational materials.

Abstract: A stem cell manufacturing system for manufacturing stem cells from somatic cells includes: one or more closed production device(s) configured to produce stem cells from somatic cells; one or more drive device(s) configured to be connected with the production device(s) and drive the production device(s) in such a manner as to maintain the production device(s) in an environment suitable for producing stem cells; one or more cryopreservation device(s) configured to cryopreserve the produced stem cells; a first memory device configured to store whether or not somatic cells have been introduced to the production device(s), as a first state; a second memory device configured to store whether or not the production device(s) is/are connected with the drive device(s), as a second state; and a third memory device configured to store whether or not the produced stem cells can be placed in the cryopreservation device(s), as a third state.

Abstract: Techniques for administering a care plan. Biometric data collected by a monitoring device is received at a care plan management system using a communication network. The biometric data includes a first event classified by a remote device as a first type of event. A relative processing priority for the first event is determined, at the care plan management system, based on the first type. The first event is processed, at the care plan management system, based on the relative processing priority. The processing includes re-classifying the first event as a second type of event. The re-classification is more computationally intensive than the classification by the remote device. At least one treatment task specified in the care plan is initiated, using a computer processor, and based on the re-classified first event.

Abstract: Systems and methods for treating a subject are provided. A first dataset comprising timestamped autonomous glucose measurements of the subject over a first time course is obtained. A second dataset, associated with a standing insulin regimen for the subject over the first time course and comprising insulin medicament records, is also obtained. Each record comprises a timestamped injection event including an amount and type of insulin medicament injected into the subject by an insulin pen. The first and second datasets serve to calculate a glycaemic risk measure and an insulin sensitivity factor of the subject during the first time course, which are used to obtain a basal titration schedule and a fasting blood glucose profile model over a subsequent second time course for the subject. The model predicts the fasting blood glucose level of the subject based upon amounts of basal insulin medicament injected into the subject.

Abstract: Systems and methods are disclosed that access over a network a set of codes and respective code descriptions from a first data store. Course data for courses is accessed over a network from a second data store. Code descriptions and course data are compared, and the comparison is used to generate a mapping of courses to codes. The network interface is used to access codes associated with patient records for a plurality of patients from an electronic medical record system associated with a medical service provider. Relevancy values are calculated for codes using the codes associated with patient records. The calculated relevancy values and the accessed mapping of courses to codes are used to generate a first ranked presentation of recommended courses. A course selection is detected. Using the selection, a second ranked presentation of recommended courses is generated by a learning engine with updated learning engine weights.

Abstract: A scheduling system and methods for scheduling patient appointments disclosed here utilize any available input to identify a timestamp and a spatial location related to a patient and/or one or more providers in proximity of one or more appointment locations, to allocate a set of procedure resources to each patient appointment based on the timestamps and the spatial locations, and to communicate any revised timing to the patient, thereby minimizing a total waiting time. The scheduling system allows for scheduling of appointments divided into multiple appointment states, each having a predicted timing. After a completed appointment state, individual uncertainty of the predicted timing is replaced with an actual timing and the predicted timing of the remaining schedule is revised. This scheduling system enables adaptive reallocation of resources while avoiding compounding the waiting times that create a multi-state iterative and time-variant problem.

Abstract: Embodiments of the present systems and methods may provide techniques to predict the success or failure of a drug used for disease treatment. For example, a method of determining drug efficacy may include, for a plurality of patients, generating a directed acyclic graph from health related information of each patient comprising nodes representing a medical event of the patient, at least one first edge connecting the first node to an additional node, each additional edge connecting nodes representing two consecutive medical events, the edge having a weight based on a time difference between the two consecutive medical events, capturing a plurality of features from each directed acyclic graph, generating a binary graph classification model on captured features of each directed acyclic graph, determining a probability that a drug or treatment will be effective using the binary graph classification model, and determining a drug to be prescribed to a patient based on the determined probability.

Abstract: A personal diabetes equipment management system can include at least one diabetes treatment device adapted for use with one or more disposable diabetes devices; a remote server system including an inventory database identifying operational diabetes treatment devices and operational disposable diabetes devices in the possession of a user; and a controller in communication with (i) the at least one diabetes treatment device over a first network connection and (ii) the remote server system over a second network connection, the controller adapted to automatically detect use of the at least one diabetes treatment device and determine an operational condition for the diabetes treatment device or the one or more disposable diabetes treatment devices based on information received from the at least one diabetes treatment device over the first network connection, the controller transmitting update information to the remote server system over the second network connection to update the inventory database.

Abstract: A medical scan triaging system is operable to generate a global abnormality probability for each of a plurality of medical scans by utilizing a computer vision model trained on a training set of medical scans. A triage probability threshold is determined based on user input to a client device. A first subset of the plurality of medical scans, designated for human review, is determined by identifying medical scans with a corresponding global abnormality probability that compares favorably to the triage probability threshold. A second subset of the plurality of medical scans, designated as normal, is determined by identifying ones of the plurality of medical scans with a corresponding global abnormality probability that compares unfavorably to the triage probability threshold. Transmission of the first subset of the plurality of medical scans to a plurality of client devices associated with a plurality of users is facilitated.

Abstract: A user controlled mobile device for use in countering phantom billing fraud in connection with receiving health care services includes one or more components capturing and outputting biometric data and location data, a processor configured to determine a confidence score, and a data storage device holding an event record created without explicit user intervention indicating whether the particular user was at the particular location, the event record including the confidence score, a timestamp corresponding to events at or near a time of the timestamp including a time of capture of the biometric and location data, the biometric data and location data, where the stored event record serves as the personal audit trail evidencing an existence or absence of phantom billing.

Abstract: An application operating on a portable computing device that generates a suggested hypothesis of at least one of: a diagnosis, a treatment, and subsequent medical investigation. The application receives quantified subfactors, collectively defining factors, for each patient. Subfactors of the medical condition are related to the history, symptoms, signs, tests, and responses to the treatment. The application determines an odds ratio for each factor regarding each hypothesized medical condition as well as an associated prevalence. The application can also determine a respective sensitivity and specificity. Posterior probability distribution, such as using Bayesian statistics, can be applied using odds ratios, prevalence, sensitivity specificity, and the associated correlations to determine the suggested hypothesis of the diagnosis, treatment, and any next tests.

Abstract: Method and apparatus for providing guidance to medical professionals. In some embodiments, at least one natural language understanding engine is used to analyze at least one narrative provided by a radiologist in connection with a study of one or more medical images. One or more decision rules are applied to one or more facts extracted by the at least one natural language understanding engine from the at least one narrative, and a result of applying the one or more decision rules to the one or more facts extracted from the at least one narrative is used to provide guidance to the radiologist.

Abstract: A method, system and computer-readable medium are provided for determining compliance with patient care protocols, comprising an infusion pump providing infusion information pertaining to one or more drugs administered to a patient, the one or more drugs including sedatives and analgesics, and a processor communicably coupled to the infusion pump and configured to determine information regarding the one or more drugs being administered to the patient based on the infusion information by determining a baseline threshold for the one or more drugs being administered to the patient according to the actual dosage of the one or more drugs administered to the patient prior to a current time, determining a dosage amount of the one or more drugs currently being administered to the patient and comparing the dosage amount of the one or more drugs currently being administered to the baseline threshold to determine a deviation from the baseline threshold.

Abstract: A system (100) for detecting and labeling structures of interest includes a current patient study database (102) containing a current patient study (200) with clinical contextual information (706), a statistical model patient report database (104) containing at least one or more prior patient documents containing clinical contextual information (706), an image metadata processing engine (118) configured to extract metadata for preparing an input for an anatomical structure classifier (608), a natural language processing engine (120) configured to extract clinical context information (706) from the prior patient documents, an anatomical structure detection and labeling engine (718) or processor (112), and a display device (108) configured to display findings from the current patient study.

Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: Embodiments include method, systems and computer program products for minimizing errors in prescription medication dispensing. Aspects include obtaining, by a processor, a prescription of a medication for a patient. Then, aspects include obtaining, by the processor, a patient profile associated with the patient and obtaining, by the processor, medication details for the medication. Aspects also include displaying to the patient, by a first device, the medication details.