Abstract: In an embodiment of this invention, in a learning phase, a state estimation device acquires activity state data and biometric data at that time from user terminals of a plurality of users, generates a regression formula representing the relationship between the biometric data and the activity state data using a regression analysis method on the basis of these pieces of measurement data, and calculates a difference between the coefficients of the regression formula of all users and each user to generate a coefficient correction regression formula representing a relationship between the difference of the coefficient and an average value of the biometric data.

Abstract: A pharmacy analytics system generates clinical opportunities for patients, and the resulting opportunity file is sent to the pharmacy management system mainframe for distribution to pharmacy management systems in respective pharmacies. The clinical programs and opportunities configured in the system include immunizations, Medication Therapy Management, performance measurement, predictive refills, and the like. Opportunities for a particular patient will only be synchronized to the stores that are subscribed to by the particular patient. All clinical opportunities are sent down by the pharmacy management system mainframe to a pharmacy management system client as part of a data synchronization process or in response to a customer browse and customer select transactions. The clinical opportunities are then presented during interactions with the customer in the prescription workflow when filling prescriptions using the pharmacy management system and/or in response to a search.

Abstract: Embodiments of the invention include a cloud-assisted rehabilitation system for assisting in the rehabilitation of musculoskeletal conditions, and a method for rehabilitating patients having musculoskeletal conditions. A rehabilitation portal can aggregate and de-identified musculoskeletal rehabilitation information that is gathered from various intelligent musculoskeletal rehabilitation apparatuses attached to a group of patients. The rehabilitation portal can facilitate crowd communication among the group of patients. A particular rehabilitation experience can be compared with other rehabilitation experiences and data from other patients. The rehabilitation portal can also facilitate crowd communication among a group of healthcare professionals so that the plurality of healthcare professionals can communicate with each other and compare information regarding different rehabilitation experiences based at least on the aggregated de-identified musculoskeletal rehabilitation information.

Abstract: A cloud-based, query management and education system enables provider organizations to query and educate clinicians on how to clarify clinical documentation, resulting in more accurate reimbursement, public reporting, research and policy decisions. Query authors create compliant queries from stored templates which may be supplemented by attaching and/or annotating selected documentation from the patient record. Clinician responses to such queries automatically generate addenda in the relevant patient record. All events around a query are tracked and reportable through a graphical performance scorecards and reporting dashboards.

Abstract: A system, method and wireless earpieces for populating an electronic medical record utilizing wireless earpieces. The sensor measurements are analyzed. The sensor measurements are associated with the electronic medical record of the user. The electronic medical record of the user is populated with the sensor measurements. Communications including the electronic medical record are communicated.

Abstract: A system and method for analyzing risk and providing risk mitigation instructions. The system receives analyzes sensor data and other data corresponding to a user to determine a test group. The system uses the test group to determine a risk score, and, subsequently, a risk mitigation strategy. Machine learning techniques are implemented to refine how the test group, risk score, and mitigation are each selected.

Abstract: This disclosure includes techniques for analyzing patient data. In one example, a method includes accessing, by a computer system, one or more databases comprising health information, with protected health information, for a plurality of patients, accessing, by the computer system, an analytical model, and receiving, by the computer system via a user interface, instructions to apply the analytical model to health information for each of the plurality of patients. The protected health information is isolated from the user interface to restrict access to the protected health information. The method further includes applying, by the computer system, the analytical model to health information for each of the plurality of patients, and storing a result of the analytical model to the one or more databases.

Abstract: A system includes a medical device comprising a reader and a processor, and a storage medium containing a content. The reader is configured to read the content from the storage medium such that the processor switches the medical device from a first mode to a second mode based on the content. The processor or the reader is configured to interface with the storage medium based on the processor switching the medical device from the first mode to the second mode such that the content of the storage medium is deleted or scrambled. Once the content in the storage medium is erased or scrambled, it is no longer usable by the medical device until additional content has been loaded or programmed into the storage medium.

Abstract: A method for measuring physician efficiency and patient health risk stratification is disclosed. Episodes of care are formed from medical claims data and an output process is performed. Physicians are assigned to report groups, and eligible physicians and episode assignments are determined. Condition-specific episode statistics and weighted episode statistics are calculated, from which physician efficiency scores are determined.

Abstract: Systems and methods are provided for data driven analysis, modeling, and semi-supervised machine learning for qualitative and quantitative determinations. The systems and methods include obtaining data associated with individuals, and determining features associated with the individuals based on the data and similarities among the individuals based on the features. The systems and methods can label some individuals as exemplary, generate a graph wherein nodes of the graph represent individuals, edges of the graph represent similarity among the individuals, and nodes associated labeled individuals are weighted. The disclosed system and methods can apply a weight to unweighted nodes of the graph based on propagating the labels through the graph where the propagation is based on influence exerted by the weighted nodes on the unweighted nodes. The disclosed systems and methods can provide output associated with the individuals represented on the graph and the associated weights.

Abstract: The Mavin systems and computer-implemented processes of the invention analyze, score, and report the results from Likert scale survey questions. The systems and methods address three weaknesses in traditional Likert scale analyses by providing: (1) a scoring procedure that is sensitive to all levels of response; (2) a determination and designation of a standard score used to determine whether the results meet that standard; and (3) a scoring process used to determine the degree to which a given score exceeds or fails to meet this standard. In addition, the Mavin systems and methods support recalculation and adjustment to the scoring model when available data support such adjustments. Further, the Mavin systems and methods incorporate flexible non-linear segment intervals and determine evidence-based adjusted response segment values to determine adjusted Mavin scores and provide actionable survey results.

Abstract: A system and process for dynamically managing a procedure. The system includes a data collection device(s) that objectively monitor a subject and transmit such information to the system and real time position components that report on the availability of an individual(s) to perform the procedure. The system reviews the information, provides a subject diagnosis and recommends equipment. The system can also schedule and monitor the procedure. The individual(s) performing the procedure have the option of consulting with relevant experts and visually interacting with the experts.

Abstract: A searchable practitioner referral platform, system and method utilizing multiple self-reported objective factors of a practitioner which carry weighted scores based on a frequency of the factor, the weighted scores having a maximum count frequency and accumulating to a total score recalculated for reporting, and where the system is a practitioner-only system utilized in one aspect by a practitioner only after the practitioner inputs his or her own data factor information.

Abstract: A method is provided for authenticating, and establishing and tracking eligibility of a patient to purchase an over-the-counter (OTC) drug from a retailer, the patient using a client device or terminal and the retailer having a server. The server is 5 configured to redirect the client device or terminal to a backend platform to authenticate the patient, access a storage to search for any information that indicates the patient is ineligible to purchase the OTC drug; and without any information that indicates the patient is ineligible, administer a questionnaire to the patient to assess the eligibility for the OTC drug. And the backend platform redirects the client device 10 or terminal back to the server to complete the online sale of the OTC drug to the patient when the patient is eligible, or cancel the online sale of the OTC drug to the patient when the patient is ineligible.

Abstract: The present disclosure provides systems and methods for automatically generating telemedicine platforms for providers. A marketplace of healthcare services and associated pricing and other terms is made available to employers, individuals, and/or health insurance companies. Employers and/or health insurance companies can select a subset of options from the marketplace to create a customizable sub-marketplace of healthcare services to offer to their employees or insureds. Providers may modify their offerings in the marketplace to fit within guidelines established by the employers or health insurance companies to be automatically included in the sub-marketplace of healthcare services.

Abstract: The system and method in accordance with the invention accepts a treatment order from a clinician, which is captured as data. The order data identifies, at a minimum, the patient to be treated, and the treatment to be administered. Additional data may be included. The data is transmitted to one or more fulfillment centers based on supply availability. The supplies are tagged with an information-carrying facet and transported to the patient point of care. At the patient point of care the supplies' data tag, the order date and the patient identity is verified. If verification is correct then the supplies are used to treat the patient. The process may be monitored and/or audited.

Abstract: Methods and systems disclosed herein provide drug pricing information for display on a graphical user interface (GUI) for a user. The methods and systems may receive an electronic request from an electronic device associated with the user, wherein the electronic request includes a first set of information that identifies the user and a prescription drug and omits a second set of information corresponding to a prescription for the prescription drug; transmit the first set of information to a database management module; determine, by bypassing transmission of the second set of information to the database management module, the drug pricing information for the prescription drug; and generate, in response to the electronic request, a notification that includes the drug pricing information for display via the GUI executing on the electronic device. The drug pricing information can include a cash price, a co-pay price, and/or a membership price for the prescription drug.

Abstract: Methods and apparatus are disclosed regarding an e-commerce system that maintains references between products and relevant content. In some embodiments, methods and/or apparatus obtain content from one or more content providers via a computer network, identify a product from a product catalog of an electronic database that is related to the obtained content; and update references to relevant content maintained in an electronic database for the product to include a reference to the obtained content.

Abstract: A method, computer program product, and computing system for visual diarization of an encounter is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to: associate a first portion of the encounter information with a first encounter participant, and associate at least a second portion of the encounter information with at least a second encounter participant. A visual representation of the encounter information is rendered. A first visual representation of the first portion of the encounter information is rendered that is temporally-aligned with the visual representation of the encounter information. At least a second visual representation of the at least a second portion of the encounter information is rendered that is temporally-aligned with the visual representation of the encounter information.

Abstract: Provided is a process, including: obtaining test data that quantifies a patient's cardiovascular status, the test data specifying patient attributes in a plurality of cardiovascular dimensions of the patient; determining a plurality of normalized differences between the test data and target criteria in each of the cardiovascular dimensions; determining predicted-effect vectors of each of a plurality of different classes of pharmaceuticals; determining an aggregate score for each respective class of pharmaceuticals among the different classes of pharmaceuticals based on values of the corresponding predicted-effect vectors; ranking the different classes of pharmaceuticals based on the aggregate scores; and outputting a recommended sequence of pharmaceuticals to administer.