Abstract: Medical devices and related patient management systems and methods are provided. A method of monitoring a plurality of patients involves a computing device obtaining measurement data for the plurality of patients from a database, obtaining one or more prioritization rules from the database, generating a prioritized list of the plurality of patients based on the measurement data in accordance with the one or more prioritization rules, and providing a dashboard graphical user interface (GUI) display including the prioritized list. The prioritized list on the dashboard GUI display is dynamically updated in accordance with the prioritization rule(s) in response to updated measurement data in the database.

Abstract: Systems and methods are disclosed for reducing redundancy in medical database management. An example system may include an application program interface communicatively linked to a user interface associated with each of: a plurality of hospital information systems, a plurality of source devices associated with each of the plurality of hospital information systems, and a plurality of electronic data management systems. The system may further include a mapping module configured to map lexical tokens between patient-specific data forms used by each of the system components. An example method may performed by a computing device having one or more processors may include receiving, from the source devices, patient-specific health data; generating updates to patient-specific electronic health records (EHR) for patients; generating patient-specific electronic data capture (EDC) data associated with the patients, and updating electronic data management systems with the patient-specific EDC data.

Abstract: Member outreach services to be offered to members of a health plan based on predictions generated by a prediction engine using data associated with the members. The prediction engine can include an ensemble of different base predictive models, and the prediction engine can use a weighted combination of base predictions produced by the different base predictive models to generate a final prediction associated with a member. A representative can attempt to contact the member based on an outreach ticket associated with the final prediction. The representative can also provide ticket feedback associated with the outreach, and the prediction engine can use the ticket feedback to adjust the weights associated with the different base predictive models.

Abstract: A method is provided for anonymizing statistical data for a secure transfer. The method calculates statistical information for each of the statistical data. The method aggregates the statistical information to calculate a valid range for each of the statistical information. The method removes outlier data based on the valid range for each of the statistical data. The method creates pair lists from each of the statistical data and target data, the pair lists having a respective member from both the statistical data and the target data. The method replaces each respective member of the target data by a random number existing in a range of a corresponding one of a plurality of target data bins. The method swaps each pair in each pair list in a random order using the randomized number, wherein the random number used for swapping is different for different ones of the pair lists.

Abstract: System and methods for alerting a healthcare provider to prescribed treatments having reduced or no effectiveness due to genetic composition is provided. A database containing treatments known to have reduced or no efficacy in persons having particular genetic markers is queried to determine whether any treatments prescribed by, or likely to be prescribed by, a healthcare provider to the patient are known to have reduced or no efficacy in persons having the same genetic markers as the patient. An alert containing such information is displayed at a healthcare provider system.

Abstract: Methods and systems disclosed herein facilitate users to capture, manage, and use receipt data, and use the information identified in the receipts in multiple receipt data use applications. Examples of such applications are generating customized recommendations for healthier items of consumable goods or services (e.g., food or beverage) based on correlating a user's purchase habits with the user's health-related data that is monitored by a wearable device, determining insurable items from receipt line item data, creating spending forecasts geared towards budgeting and saving, facilitating donations to charities based on a percentage of price of one or more items in receipt line data, and other applications that utilize receipt data.

Abstract: A computer-implemented method for approving a medical device disposable component used in a medical procedure comprising providing an identifiable feature on a medical device disposable component, wherein the identifiable feature comprises one or more photo-identifiable entities having a first emission pattern when in an unexcited state and a second emission pattern when in an excited state. The method also comprises illuminating the identifiable feature with an excitation light source to elicit the second emission pattern, detecting the second emission pattern and comparing the second emission pattern against a set of established reference emission patterns, and determining whether the medical device disposable component is approved based on comparison of the second emission pattern to the set of established reference emission patterns.

Abstract: A facility for ordering drugs is described. For each of a number of different drugs, the facility maintains a single outpatient counter of administrations of the drug to outpatients that have not been used as a basis for reordering the drug. For a distinguished one of the drugs, based on the value of the counter of administrations of the distinguished drug, the facility places an order that reorders the distinguished drug at a discounted outpatient price level.

Abstract: A method and apparatus can include a system controller and a system processor. The system controller can retrieve a health science related dataset from at least one database, the retrieved dataset including information associated with at least one of a patient medical information, healthcare provider clinical information, health related publications and treatment information, and pharmaceutical information, and transmit to a user equipment a recommendation of at least one of health diagnosis and treatment for a patient. The system processor can utilize multidimensional nonlinear manifold clustering on at least one element from the retrieved dataset, assign an entity formulated from the at least one element of the retrieved dataset into a decision hyper-volume based on the multidimensional nonlinear manifold clustering, and determine the recommendation of at least one of health diagnosis and treatment for the patient based on the assignment of the entity into the decision hyper-volume.

Abstract: A medical questionnaire may be provided to a patient and responses to the medical questionnaire may be scored using a scoring procedure associated with the medical questionnaire. The scored responses may then be used to determine a wellness score for the patient. At times, the medical questionnaire may be treatment, diagnosis, and/or symptom specific and the wellness scores determined from the responses thereto may be used to determine a wellness score regarding the patient's wellness with regard to the treatment, diagnosis, and/or symptom. The wellness score may be provided to the patient, a treatment provider, a treatment facility, and/or a treatment administrator. At times a first and second wellness score may be determined and a difference therebetween may be used to determine an improvement score.

Abstract: Methods are provided for the surveillance and monitoring of a patient's medical care when the patient is treated at two or more medical organizations having different medical record systems. Patient information is received from a first medical organization and populated into an active risk assessment array that monitors the patient's risk for developing a particular disease or condition. Patient information is then received from a second medical organization and populated into the array. It is determined that actionable criteria have been met, and in response, a notification or alert is sent to the medical organizations indicating that the patient is at risk.

Abstract: A computer system monitors users to capture contextual and environmental data for managing adverse events of those users. A level of risk for occurrence of an adverse event from performing a medical related activity is determined based on the medical related activity, a medical profile, and a risk profile of the user. The user is monitored to capture environmental and contextual information for the adverse event. The captured information is stored to associate the captured information with the adverse event. In response to occurrence of the adverse event, the user is prompted to provide information pertaining to conditions surrounding the adverse event. The stored information for the adverse event is updated with the user-provided information, and is transmitted to a provider associated with the medical related activity. Embodiments of the present invention further include a method and program product for managing adverse events in substantially the same manner described above.

Abstract: Efforts have been made in the past to improve the wellbeing of a person. Various methods involve use of virtual pet character which can interact with the person. But these methods are mainly for entertainment purpose, people get bored quickly. Moreover, the present application doesn't take into the input of the present state of user. A method and system for improving wellbeing of person using a digital character such as virtual pet has been provided. The system maintains a wellbeing index for both the user and digital character. A set of activities are provided which is performed by the digital character and the user. Further, a response of the user is also captured depending on the current wellbeing index using a set of questionnaire. And a second set of activities are recommended based on the response to further improve the wellbeing index of the person.

Abstract: A computer-implemented medical device management method for distributing data sets to a plurality of medical devices in child locations of a parent health organization includes providing a first data set, receiving a first user input to distribute the first data set, distributing the first data set to medical devices located in child locations within the parent organization, and facilitating operation of the medical devices according to the first data set. The method also includes providing a second data set different from the first, receiving, after the first user input, a second user input to distribute the second data set to target medical devices, commencing distribution of the second data set prior to completing distribution of the first data set, and stopping distribution of the first data set for all medical devices that have not yet received the first data set and that are target medical devices.

Abstract: A telehealth device includes a memory, a processor, one or more cameras, and a communication interface for relaying a data communication between a remote mobile device of a medical practitioner and the telehealth device used by a user over a communication network in a single communication channel. The processor may be configured to receive measurements of the user from one or more medical sensors, to collect medical information about the user, to overlay multiple layers of the collected medical in about the user including the received measurements over the data communication, to send the data communication over the communication network with the overlaid multiple layers for display on the remote mobile device of the medical practitioner, to execute commands sent from the remote mobile device in the single communication channel, so as to allow, based on the commands, the medical practitioner to remotely control the telehealth device.

Abstract: A longitudinal data quality assurance system is operable to receive a set of medical scans corresponding to a same first patient. A first chronologically ordered list of the set of medical scans is generated based on a corresponding first set of dates, where each of the corresponding first set of dates are extracted from a headers of the set of medical scans. Quality assurance data is generated for the first chronologically ordered list by performing at least one quality assurance function on at least one of the set of medical scans. A second chronologically ordered list that includes a first subset of the first set of medical scans is generated to rectify at least one continuity error of the first chronologically ordered list, indicated in the quality assurance data. The second chronologically ordered list is transmitted to a client device for display via a display device.

Abstract: Methods are provided for the surveillance and monitoring of a patient's medical care when the patient is treated at two or more medical organizations having different medical record systems. Patient information is received from a first medical organization and populated into an active risk assessment array that monitors the patient's risk for developing a particular disease or condition. Patient information is then received from a second medical organization and populated into the array. It is determined that actionable criteria have been met, and in response, a notification or alert is sent to the medical organizations indicating that the patient is at risk.

Abstract: A system and method for analyzing a data store of de-identified patient data to generate one or more dynamic user interfaces usable to predict an expected response of a particular patient population or cohort when provided with a certain treatment. The automated analysis of patterns occurring in patient clinical, molecular, phenotypic, and response data, as facilitated by the various user interfaces, provides an efficient, intuitive way for clinicians to evaluate large data sets to aid in the potential discovery of insights of therapeutic significance.

Abstract: Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.

Abstract: A computing system receives a plurality of medical perspectives for each medical treatment option of a plurality of medical treatment options. A machine learning model assigns a weight to each medical perspective for each medical treatment option by determining how often a care provider has agreed with each perspective within the plurality of medical perspectives. The computing system receives a medical treatment option ranking for each of the medical perspectives. The computing system generates a score for each medical perspective as applied to each medical treatment option based on a combination of the weight and the ranking for each medical perspective. The computing system aggregates the scores across the plurality of medical perspectives into an overall score for each medical treatment option.