Abstract: Systems and methods are provided for healthcare predictive analysis based on dynamic monitoring of patient conditions. Dynamic monitoring is used by healthcare provider entities to collect historical claim feed data regarding its patients. The historical claim feed data is used to monitor patients' progress and conditions. Moreover, this data is used to train and update a predictive model used to predict the occurrence of events. The model predicts the occurrence of events using a sliding window-based algorithm, in which subsets (e.g., windows) of the historical claim feed data are sequentially used to train the model. For each window of data, the model extracts features and outcomes, and trains the model based thereon. The model then extracts features and outcomes of the next window of data and updates the existing model based thereon. The resulting model is run against a set of a data to predict the occurrence of events.

Abstract: A power converter device includes a set of switches configured to switch between at least three input-side voltage levels to provide output pulses. The power converter device also includes a control circuit for the set of switches, wherein the control circuit configured to selectively switch the power converter device between a continuous conduction mode of operation (CCM) having a first charge per pulse and a discontinuous conduction mode of operation (DCM) having a second charge per pulse, the second charge per pulse being greater than the first charge per pulse.

Abstract: Aspects of the disclosure provide for a circuit. In some examples, the circuit includes an amplifier having a first input configured to receive a signal representative of a condition related to a power converter, a second input configured to receive a reference signal, and an output, a PWM regulation circuit having an input coupled to the output of the amplifier, a first output configured to provide a first control signal for a high-side transistor of the power converter, and a second output configured to output a first control signal for a low-side transistor of the power converter, and a PFM regulation circuit having an input coupled to the output of the first amplifier, a first output configured to output a second control signal for the high-side transistor of the power converter, and a second output configured to output a second control signal for the low-side transistor of the power converter.

Abstract: A patient selection tool for selecting patients for a social-behavioral determinants of health (SBDoH) program, including: a graphical user interface (GUI) module configured to present a GUI to a user, receive inputs from the user including a SBDoH factor, and to select patient cohort data based upon the inputs received from the user, a machine-learning model configured to predict a key performance indicator (KPI) for each patient based upon the patient cohort data and the SBDoH factor, a success rate module configured to predict the probability of success of the SBDoH program for each patient in the patient cohort; a return on investment (ROI) module configured to determine the cost savings associated with the SBDoH program for each patient in the patient cohort based upon the cost associated with the KPI, the probability of success of the SBDoH program, and a change in the KPI associated with the SBDoH factor, and a patient selection module configured to select patients for the SBDoH program based upon the

Abstract: The invention discloses an apparatus for determining features to be included in a risk assessment instrument. The apparatus comprises a processor configured to: receive an indication of a plurality of features to be analyzed, each feature of the plurality of features being potentially relevant to a likelihood of the presence of a defined target condition; apply, using the plurality of features, a predictive model to a dataset representing the ground truth in relation to the defined target condition; determine, based on an output of the predictive model, one or more features of the plurality of features that are most relevant to the likelihood of the presence of the defined target condition; and determine, based on an output of the predictive model, a threshold value for each of the one or more features, beyond which the likelihood of the presence of the defined target condition is increased or decreased. A method and a computer program product are also disclosed.

Abstract: In a described example, an apparatus includes a first switch coupled between a terminal for receiving an input voltage and a top plate node, and having a first control terminal; a second switch coupled between the top plate node and a switching node, and having a second control terminal; a third switch coupled between the switching node and a bottom plate node and having a third control terminal; a fourth switch coupled between the bottom plate node and a ground terminal, and having a fourth control terminal; a flying capacitor coupled between the top plate node and the bottom plate node; a fifth switch coupled between the top plate node and an auxiliary node; a sixth switch coupled between the auxiliary node and the bottom plate node; and an auxiliary capacitor coupled between the auxiliary control terminal and a ground terminal.

Abstract: The present disclosure pertains to computer-assisted linkage of healthcare records. In some embodiments, a first portion of a collection of healthcare records of individuals may be processed using a set of record attributes (corresponding to strong identifiers) that includes one or more record attributes corresponding to strong identifiers. Based on such processing, a first set of matches between healthcare records of the first collection portion may be predicted, and a number of matches in the first set of matches may be determined. At least one other portion of the collection of healthcare records of individuals may be processed using another set of record attributes that includes one or more record attributes different from the strong-identifier-corresponding record attributes. Based on the number of matches in the first set of matches, the processing of the other collection portion with respect to predicting healthcare record matches may be caused to stop.

Abstract: The present disclosure pertains to a system for providing model-based predictions of patient-related metrics based on location-based determinants of health. In some embodiments, the system (i) obtains (a) one or more patient-related features and (b) one or more location-related features associated with an individual; (ii) performs one or more queries based on the one or more patient-related features associated with the individual to obtain one or more location-related features associated with similar individuals; and (iii) provides the one or more location-related features associated with the similar individuals and the one or more location-related features associated with the individual to the machine learning model to predict (a) one or more metric values for the patient-related metrics associated with the individual and (b) at least one location-related feature associated with the individual likely to contribute to the one or more metric values.

Abstract: In a described example, an apparatus includes a first switch coupled between a terminal for receiving an input voltage and a top plate node, and having a first control terminal; a second switch coupled between the top plate node and a switching node, and having a second control terminal; a third switch coupled between the switching node and a bottom plate node and having a third control terminal; a fourth switch coupled between the bottom plate node and a ground terminal, and having a fourth control terminal; a flying capacitor coupled between the top plate node and the bottom plate node; a fifth switch coupled between the top plate node and an auxiliary node; a sixth switch coupled between the auxiliary node and the bottom plate node; and an auxiliary capacitor coupled between the auxiliary control terminal and a ground terminal.

Abstract: In described examples of methods and control circuitry to control a power conversion system, a regulator circuit is coupled to provide switching control signals according to a regulation signal to operate a plurality of converter switches to generate a voltage signal at a switching node. A compensation sense circuit is coupled to provide a compensation pulse signal having a duty cycle that represents a percentage of time that a current flowing through the switching node is above a threshold value. A current compensation circuit adjusts the regulation signal according to the compensation pulse signal.

Abstract: The present disclosure pertains to a system for providing model-based patient assignment to care managers. In some embodiments, the system (i) receives a collection of health information related to a plurality of individuals residing in a predetermined region and known to have similar social determinants of health; (ii) extracts and provides one or more care management-related features of the plurality of individuals and one or more care management activities provided to the individuals to a machine learning model to train the machine learning model; (iii) obtains and provides health information of an individual residing in the predetermined region to the machine learning model to predict an amount of care management time for the individual; (iv) assigns, based on the predicted amount of care management time, the individual to a care manager; and (v) effectuates presentation of a list of assigned individuals to the care manager.

Abstract: The present disclosure pertains to a system configured to facilitate computer-assisted linkage of healthcare records. The system is configured to process a whole collection of records, using a reference set of record attributes, to generate a first prediction for a first portion of the collection of healthcare records of individuals of which healthcare records of the first collection portion have matching values with respect to the reference set of record attributes; re-process the first portion of records (the already matched portion of records) using other sets of record attributes to determine which ones of the other sets are reliable predictors of matching records; and use the reliable predictors to process a remaining unmatched portion of the healthcare records.

Abstract: In described examples of methods and control circuitry to control a multi-level power conversion system with a flying capacitor, a power circuit regulates a regulator input voltage signal to provide a supply voltage signal to the control circuitry. A power switching circuit couples the regulator input to a first terminal of the flying capacitor in response to a second terminal of the flying capacitor being coupled to a reference voltage node in a given switching cycle, and couples the regulator input to the second terminal in response to the first terminal being coupled to an input node of the power conversion system in the given switching cycle.

Abstract: The present system is configured to display distributions of predicted health outcome information for patient populations in geographical areas. The system is configured to obtain demographic, social (e.g., including environmental), and prior health outcome information for a patient population in a geographical area. The system is configured to train a prediction model based on the demographic, social, and prior health outcome information, which outputs weighted features of the demographic and social information that are predictive of health outcomes for the patient population. The system is configured to cause display of a distribution of predicted health outcome information for the patient population in the geographical area based on the weighted features.

Abstract: In one embodiment, a computer system and method is disclosed for providing a social determinates of health model which correlates socio-economic factors with the non-adherence risk of an individual to a proscribed task such as care plan compliance, medication dosing, physical therapy or exercise routine, office visit, or test appointment.

Abstract: In one embodiment, a computer system and method is disclosed for providing an adjustable social determinates of health model, which allows for user selectable customization of the categories used to calculate the model as well as adjustment of the model itself. In addition, the system displays predictiveness metrics indicating the predictive quality of the model. The model can be used by the user to create a socio-economic index to provide the user with insights into the relevant socio-economic factors impacting healthcare of an individual patient or population.

Abstract: An electronic processor (14) is programmed to perform integration (16) of N anonymized healthcare databases (10). For in a pair of databases (i,j) of the N anonymized healthcare databases, a set of features is identified (44) each contained in both databases i and j of the pair of databases (i,j). A conversion table is generated (46, 48) that matches patients of the pair of databases based on patient similarity measured by the set of features. The identifying and generating operations are repeated (50) for each unique pair of databases of the N anonymized healthcare databases to generate N(N 1)/2 conversion tables (20). The electronic processor is further programmed to perform a patient data retrieval process (18) which receives a patient ID of a patient in one of the N anonymized healthcare databases and retrieves patient data for the patient contained in the N anonymized healthcare databases using the N(N?1)/2 conversion tables.

Abstract: In described examples of methods and control circuitry to control a power conversion system, a regulator circuit is coupled to provide switching control signals according to a regulation signal to operate a plurality of converter switches to generate a voltage signal at a switching node. A compensation sense circuit is coupled to provide a compensation pulse signal having a duty cycle that represents a percentage of time that a current flowing through the switching node is above a threshold value. A current compensation circuit adjusts the regulation signal according to the compensation pulse signal.

Abstract: In described examples of methods and control circuitry to control a multi-level power conversion system with a flying capacitor, a power circuit regulates a regulator input voltage signal to provide a supply voltage signal to the control circuitry. A power switching circuit couples the regulator input to a first terminal of the flying capacitor in response to a second terminal of the flying capacitor being coupled to a reference voltage node in a given switching cycle, and couples the regulator input to the second terminal in response to the first terminal being coupled to an input node of the power conversion system in the given switching cycle.

Abstract: In described examples of methods and control circuitry to control a multi-level power conversion system, the control circuitry generates PWM signals having a duty cycle to control an output signal. The duty cycle is adjustable in different switching cycles. Each switching cycle includes a respective first sub-cycle with a first sub-cycle duration and a respective second sub-cycle with a second sub-cycle duration. The control circuitry controls a given switching cycle's first and second sub-cycle durations to control a voltage across a capacitor of the power conversion system while maintaining the given switching cycle's duty cycle.