Abstract: Systems and methods are provided for automatically detecting misuse of a benefit system. Information relating to benefit provision (e.g., receiver information, service performed, equipment used, materials provided, provider information, etc.) may be parsed from claims data to determine patterns for benefit receivers and/or benefit providers. The patterns may be analyzed to determine specific patterns indicative of fraud/benefit abuse and the particular benefit receivers/providers/events may be tagged as a lead for investigation.

Abstract: A patient uses a token with multiple actuators to request assistance from a healthcare provider. When the patient activates one of the token's actuators, a nearby mobile device receives a signal from the relevant actuator, selects a code depending on which actuator was activated, and sends the code along with location data and a patient identifier to a server. The server uses the identifier to access a patient record for the patient and retrieve insurance data. The server will use the code, the location data and the insurance data to select an appropriate healthcare provider for the patient. The system will transmit a communication to the selected healthcare provider with a phone number for the patient's mobile device so that the healthcare provider can contact the patient.

Abstract: Techniques for providing information regarding healthcare performance in real-time using augmented reality are provided. In one example, a computer-implemented method comprises receiving input data generated in real-time during performance of a healthcare procedure by a user, including video captured of the user during the performance of the healthcare related procedure. The method further includes determining descriptive information characterizing the performance based on the input data, wherein the descriptive information characterizes at least actions performed by the user during the procedure, and determining whether an aspect of one of the actions currently being performed by the user deviates from a defined protocol for the healthcare related procedure based on comparison of the descriptive information with reference descriptive parameters for the healthcare related procedure.

Abstract: Implementations for providing patient physiological data to a third-party system in near-real-time include determining that a value of a data element within a data source has changed, and determining that the data element is included in a watchlist, the watchlist including one or more topics, each topic being associated with at least one data element, and in response: providing a data element tuple associated with the data element, and transmitting the data element tuple to the third-party system over a network. Other implementations of this aspect include corresponding systems, apparatus, and computer programs, configured to perform the actions of the methods, encoded on computer storage devices.

Abstract: Automatic discrepancy detection in medical data is provided. In various embodiments, a disease label for a present study is determined, indicative of a disease condition. Retrospective review of a plurality of electronic medical records is performed. The retrospective review comprises searching for electronic medical records relevant to the disease condition. The earliest electronic medical record reflecting the disease condition is identified. Based on the earliest electronic medical record reflecting the disease condition, one or more of the electronic medical records having an omission or inconsistency is identified. The one or more of the electronic medical records having an omission or inconsistency are flagged for supplemental review in a worklist.

Abstract: A wait time control method, system, and computer program product, includes extracting wait times for treatment at emergency facilities and routing times to the emergency facilities based on an emergency request and assigning a patient to an emergency facility by calculating a minimal treatment time for the patient comprising a minimum combined time of a wait time at the emergency facility and a routing time to the emergency facility from a location of the emergency request.

Abstract: Techniques for determining issues associated with a current state of an area of a healthcare facility are provided. In one example, a computer-implemented method comprises identifying an area of a healthcare facility included in image data captured of the healthcare facility, and characterizing aspects of a current state of the area of the area based on analysis of the image data, including determining object information characterizing objects included in the area. The method further comprises determining whether one or more of the aspects of the current state of the area deviate from a defined requirement for the area based on evaluation of the object information. Based on a determination that an aspect of the current state of the area deviates from the defined requirement for the area, the method can further comprise generating feedback information regarding the deviating aspect of the current state of the area.

Abstract: Power-efficient health affliction classification. A method controls execution of a set of health affliction classification applications on a wearable device of a user. The controlling includes monitoring device notifications on at least one mobile device of the user for health affliction information. The controlling further includes invoking an analysis of one or more notifications of the monitored device notifications, the analysis attempting to ascertain a health affliction and an afflicted individual having the health affliction. Based on the analyzing being initially unable to ascertain a health affliction, the controlling initiates execution of the set of health affliction classification applications in a prioritized order of execution.

Abstract: Mechanisms are provided which configure a medical treatment recommendation system to implement a medical condition independent treatment recommendation model. The medical condition independent treatment recommendation model operates on medical condition independent scoring features that are independent of any specific medical condition. The mechanisms configure the medical treatment recommendation system to receive a medical condition cartridge providing at least one medical condition specific evaluation feature that is specific to a medical condition, and process patient information based on a combination of an application of the at least one medical condition specific evaluation feature, and an execution of the medical condition independent treatment recommendation model of the medical treatment recommendation system, to generate a treatment recommendation for a patient medical condition associated with the patient. The mechanisms then output the treatment recommendation for the patient.

Abstract: A method, system, and computer program product, include obtaining a plurality of training sets of samples and a plurality of testing sets of samples from a data set of clinical records, the plurality of training sets of samples and the corresponding plurality of testing sets of samples including different samples of the data set, determining statistical significance for a plurality of risk factors of a model from the plurality of training sets of samples, determining a plurality of performance metrics of the model from the plurality of testing sets of samples, and determining an evaluation metric of the plurality of risk factors for the model based on the statistical significance and the plurality of performance metrics, the evaluation metric being for improving accuracy of the model.

Abstract: Systems and methods are provided for managing a database. The systems and methods described maybe used to efficiently utilize computing resources, including at a handheld device, to provide questions and recommendations during a medical examination.

Abstract: A method for managing health care patient record data including: associating, by a processor, native health care patient record data of a first patient stored in a database to a plurality of data fields, wherein the native health care patient record data of the first patient represents the first patient's health care record; assigning, by a processor, a relative importance weight score to each of the plurality of data fields; and generating, by a processor, a record strength score of the first patient's health care record based on the relative importance weight score assignments. The record strength score indicates a percentage of the first patient's health care record that contains important native health care patient record data.