Abstract: A medical scan system is operable to receive a set of labeling data corresponding to a set of medical scans from each of a set of client devices corresponding to a set of users. The set of medical scans and each set of labeling data is transmitted to an expert client device associated with an expert user, and a set of golden labeling data and a plurality of sets of correction data are received from the expert client device. A set of performance score data is generated based on the plurality of sets of correction data, and each performance score data of the set of performance score data is assigned to a corresponding one of the set of users. An updated training set that includes the set of golden labeling data is generated, and a medical scan analysis function is retrained based on the updated training set.

Abstract: A system for physiologically informed therapeutic provisions includes a computing device configured to receive, from a remote device operated by a user, a conditional datum wherein the conditional datum contains a description of a current bodily complaint. The computing device is further configured to identify a plurality of antidotal therapeutic provisions, using a therapeutic clustering model wherein the therapeutic clustering model utilizes a conditional datum as an input and outputs antidotal therapeutic provisions. The computing device is further configured to locate a user biological extraction wherein the user biological extraction contains at least an element of user physiological data. The computing device is further configured to generate a compatibility model, wherein the compatibility model utilizes the antidotal therapeutic provisions and the user biological extraction as an input and outputs compatible antidotal therapeutic provisions.

Abstract: Aspects of the present disclosure generally relate to systems and methods for accessing, managing, and exchanging patient information across a plurality of providers that may have various discrete medical record systems, including, but not limited to medical facilities, clinics, ambulatory emergency health systems, and other providers (e.g., heterogeneous healthcare providers). In various embodiments, the system receives a request from a requesting party for one or more records of a particular patient. In response, in one or more embodiments, the system identifies what information (if any) the requester is authorized to receive, retrieves the information the requester is authorized to receive from various discrete medical record systems, then normalizes and aggregates the retrieved information. In a particular embodiment, the system also denormalizes the data (e.g., converts the data to the local format and terms of the requester) before transmitting the retrieved data to the requester.

Abstract: A method for strong authentication of an individual by a server and a connected client device, the client device having a candidate biometric data of the individual and an image from an identity document representing at least one photograph of the individual and one optical reader data visible on the identity document. A cryptographic footprint includes extracting, by analysis of the acquired image and the optical reader data, calculating a first data decoded by application of a decoding process to the candidate information and to a first encoded data, such that the first decoded data matches first random data if the candidate information matches a reference information representative of the appearance of the photograph, verifying that a cryptographic footprint of a first concatenation of the extracted optical reader data and the decoded data coincides with the first cryptographic footprint, and a reference biometric data and the candidate biometric data match.

Abstract: An example method of managing medical records using multi-dimensional cryptographically-secured datastores comprises: storing digital representations of dental anatomy utilizing a two-dimensional blockchain structure includes: causing, by a computer system, a digital representation of dental anatomy to be stored at an external storage location; appending, to a first data block of an auxiliary blockchain, an identifier of the external storage location; appending, to a current data block of a main blockchain, a reference to a first data block of the auxiliary blockchain; appending, to the current data block of the main blockchain, a data item of the digital representation of dental anatomy; appending, to the current data block of the main blockchain, a reference to a preceding data block of the main blockchain; and broadcasting the current data block of the main blockchain to a plurality of blockchain nodes.

Abstract: Methods, systems, and computer-readable media are provided for recreating a state of a clinical computing system for indicating that a specific activity corresponding to a patient increased prior to an event. Sets of data elements for a patient are extracted from the clinical computing system. State changes for each data element are identified. The state of the clinical computing system is recreated prior to the event by concatenating the sets of data elements based on the state changes for each respective data element.

Abstract: The application is directed to a computer-implemented apparatus for facilitating transactions. The apparatus includes a non-transitory memory having instructions stored thereon for performing an evaluation of user performance prior to proceeding with a transaction. The apparatus also includes a processor, operably coupled to the non-transitory memory. The processor is configured to perform the instructions of displaying, on a graphical user interface (GUI), an input box requesting a user to input information associated with the transaction. The processor is also configured to receive, via the GUI, information from the user associated with the transaction. The processor is also configured to perform the instruction of evaluating the received information associated with the transaction based upon decision criteria.

Abstract: The present solution covers identifying a recommended treatment for a patient based on records of similar patients, wherein the similarities are non-obvious and non-linear. The solution generates a similarity map that minimizes the variance of elements records among a curated group of patients, and this similarity map is used to find the patients who are most similar to an untreated patient.

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: An information processing device for a management system in which a management device and the information processing device are configured to communicate with a storage device. The information processing device comprising a controller that is configured to download, from the storage device, an instruction template including a plurality of pieces of processing instruction information for instructing a plurality of pieces of processing to be executed by the information processing device, create an update template in which each of the plurality of pieces of processing instruction information in the instruction template is replaced with a corresponding piece of a plurality of pieces of processing notification information to be notified to the management device and upload the update template to the storage device.

Abstract: In methods and systems for communicating medical image data that were generated for a patient between computing entities of a hospital network, a cloud-based data store and a patient's mobile device, a QR code serves to code a data package containing a user identification and a public key, which has been generated on the patient's mobile device, to a hospital server, in order to process personal data so that the personal data may be downloaded from the data store directly to the patient's mobile device in an encrypted form, and may be visualized there in clear text by means of applying a private key stored locally on the patient's mobile device. The method and system are web based and need no special requirements on the part of the patient's mobile device.

Abstract: A patient can undergo physical therapy to rehabilitate a musculoskeletal condition. The success of the rehabilitation relies in part on whether the patient uses an exercise band with the correct resistance for their condition. In order to select the correct resistance, a controller can instruct the patient to perform a directed movement with an exercise band, receive exercise data from at least one sensor (e.g., a camera, like a front-facing camera, that records the patient, a plurality of sensors on or near the patient's skin, etc.) as the subject performs the directed movement, and calculate a pull force exerted by the patient on the exercise band based on at least a portion of the exercise data. The adequacy of an exercise with the exercise band for the patient is determined based on the pull force can be determined based on the calculated pull force.

Abstract: A terminal and a method performed by the terminal are provided for use in a wireless communication system. The method includes receiving configuration information associated with a sounding reference signal (SRS) through higher layer signaling; receiving first DL control information (DCI); and transmitting, based on the first DCI, the SRS in an available slot from a reference slot.

Abstract: This disclosure relates to systems and methods for managing data associated with a user using a personalized cloud storage platform operating as a centralized repository for user data generated from a variety of sources and/or user devices. By centralizing the storage and/or management of personal data that would conventionally be confined between multiple information silos, embodiments of the systems and methods disclosed herein may improve the ability of a user to control their personal data, facilitate utilization of their personal data in a variety of ways not offered by services associated with the silos, and/or allow a user to centrally manage their personal data. Further embodiments disclosed herein allow a user to define one or more policies or other rules associated with personal data stored in their personal cloud.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using machine learning to generate precision predictions of readiness. In some implementations, a database is accessed to obtain status data that indicates activities or attributes of a subject. A set of feature scores is derived from the status data for the subject, the set of feature scores including values indicative of attributes or activities of the subject. The set of feature scores to one or more models that have been configured to predict readiness of subjects to satisfy one or more readiness criteria. The one or models can be models configured using machine learning training. Based on processing performed using the one or more machine learning models and the set of feature scores, a prediction regarding the subject's ability to achieve readiness to satisfy the one or more readiness criteria is generated.

Abstract: According to some embodiments, data may be received indicative of a plurality of insurance claims along with an indication of an appropriate claim segment classification for each insurance claim. A first claim handler may then be automatically selected for a first insurance claim based at least in part on: (i) a first segment classification associated with the first insurance claim, (ii) numbers of other insurance claims currently assigned to claim handlers, and (iii) load factors associated with claim handlers. An indication of the selected first claim handler may then be transmitted.

Abstract: A method may include obtaining audio of a communication session between a first device of a first user and a second device of a second user. The method may further include obtaining a transcription of second speech of the second user. The method may also include identifying one or more first sound characteristics of first speech of the first user. The method may also include identifying one or more first words indicating a lack of understanding in the first speech. The method may further include determining an experienced emotion of the first user based on the one or more first sound characteristics. The method may also include determining an accuracy of the transcription of the second speech based on the experienced emotion and the one or more first words.

Abstract: Methods and systems are presented for dynamically generating programming code for implementing input data fields that automatically verifies formatting of input data based on platform agnostic formatting rules. A user interface page is obtained for display on a user device, wherein the user interface page is configured to obtain data from a user. Based on first programming code associated with the interface page, formatting rules are retrieved from a remote server. Second programming code that implements one or more input data fields on the user interface page is generated based on the formatting rules. The user interface page with the one or more input data fields is rendered on the user device for obtaining user data. Based on the second programming code, the user data inserted into the one or more input data fields is automatically formatted.

Abstract: A personal health system, method and device that maintains a health knowledge base, inputs user characteristics, generates health scores based on the user characteristics and provides recommendations based on the user characteristics, health scores and knowledge base, wherein the recommendations are indicated by the knowledge base to be likely to improve the user's health.

Abstract: Systems, methods and computer-readable media are provided for determining the likelihood of a presence or absence of one or more patient conditions based on unstructured text data from the electronic health records, which may accrue during the routine provisioning of care services. In particular, embodiments described herein use structural topic modeling (STM) to assess the textual information as to topical or concept-oriented expressions they contain that are statistically similar to those associated with various clinical conditions or diagnoses; to identify which condition- or diagnosis-oriented clusters the present texts most closely resemble, if any; and to notify the responsible clinicians of those determinations, suggesting consideration of those conditions or diagnoses as part of the constellation of differential diagnoses pertinent to the management of the patient.

Abstract: Examples of the present disclosure describe systems and methods for predicting the reading time and/or reading complexity of a breast image. In aspects, a first set of data relating to the reading time of breast images may be collected from one or more data sources, such as image acquisition workstations, image review workstations, and healthcare professional profile data. The first set of data may be used to train a predictive model to predict/estimate an expected reading time and/or an expected reading complexity for various breast images. Subsequently, a second set of data comprising at least one breast image may be provided as input to the trained predictive model. The trained predictive model may output an estimated reading time and/or reading complexity for the breast image. The output of the trained predictive model may be used to prioritize mammographic studies or optimize the utilization of available time for radiologists.

Abstract: In some implementations a computer-accessible medium includes a multimedia-document integration module that includes a heterogeneous distinction identifier between a first multimedia-document and a second multimedia-document and includes an integrator of the first multimedia-document and the second multimedia-document into an integrated multimedia-document, a data capture module that includes a data-extractor of the integrated multimedia-document, a query module that includes a query-generator encapsulated in a corresponding number of enquiry/inquiry transmissions, the enquiry/inquiry transmissions being short-message-service text-messages, a communication-subsystem that includes a transmitter of the enquiry/inquiry transmissions to an external device and receiver of an acknowledgement transmission or a negative-acknowledgement transmission from the external device, the acknowledgement/negative-acknowledgement transmission being a short-message-service text-message, and, a variance analytic module that includ

Abstract: A medication reconciliation system that interfaces between pharmacies and healthcare providers to provide accurate patient medication history and a medication reconciliation process for providing accurate patient medication history by interfacing between pharmacies and healthcare providers are disclosed. The medication reconciliation system and process provide a level of healthcare that allows healthcare providers to accurately reconcile a patient’s medication history across multiple medication supplying sources.

Abstract: A system for classifying structured medical data, with each item of structured medical data, the system comprising a processing module that parses items of structured medical data to retrieve values of respective fields of the one or more items of structured medical data, the one or more retrieved values representing a set of medical attributes; a classification module that selects a classifier based at least one of the attributes in the set and applies the classifier to the set of attributes to classify one or more items of structured medical data into a particular risk profile; a user interface that renders one or more controls for input data that confirms one or more of the risk factors of the risk profile; and a transmitter to transmit to a remote medical device, an alert that specifies confirmation of the one or more of the risk factors.

Abstract: An auditory guidance system and method for medical systems and procedures are disclosed. A method for providing auditory guidance during a medical procedure includes selecting a song for playing during the medical procedure. At least a portion of the song is assigned to the medical procedure. Parameter information for at least one parameter associated with the medical procedure is obtained during the medical procedure. The obtained parameter information is compared against predetermined thresholds for each parameter. The portion of the song associated with the parameter information is modified in accordance with the comparison and the modified portion of the song is played to provide auditory guidance during the medical procedure.

Abstract: Techniques disclosed herein relate to learning and applying contextual patient similarities. In various embodiments, a first value for a query entity may be displayed (702) on an interface. The first value may be related to a first context. A first trained similarity function may be selected (704) from a plurality of trained similarity functions. The first trained similarity function may be associated with the first context. The first selected trained similarity function may be applied (706) to a set of features associated with the query entity and respective sets of features associated with a plurality of candidate entities. A set of one or more similar candidate entities may be selected (708) from the plurality of candidate entities based on application of the first trained similarity function. Information associated with the first set of one or more similar candidate entities may be displayed (710) on the interface.

Abstract: In some embodiments, an input document is received at a tagging platform, via a communication device, and associates it with a tag request. The tagging platform automatically selects at least one electronic record associated with a first user from a user data store containing electronic records associated with users (each record including at least a user identifier and a user communication address). The input document and tag request are transmitted to the communication address associated with the first user, and a document tag is received from the first user. The tagging platform may then store the document tag in a document mining result database by adding an entry to the database identifying the received document tag and transmit an indication associated with the document mining result database to a plurality of risk applications.

Abstract: The instant system and method will be a scalable and flexible software platform to agnostically capture wearable, implantable, or external device data and create a digital biomarker for various disease conditions, care and analysis. The system and method also provides an informatics tool for automated data aggregation, integration, and machine learning algorithms to uniformly compare/contrast/couple data streams as a function of patient and context over time. The focus is on user engagement and usability, accessibility and reporting to the clinical care team, and usability by researchers interested in analyzing data and outcomes.

Abstract: A method includes: receiving, by a computer device, an association of a prescribed treatment to a user; receiving, by the computer device, an image of the user; receiving, by the computer device, an image of treatment adherence by the user; determining, by the computer device, adherence to the prescribed treatment by analyzing the image of treatment adherence; and generating, by the computer device, a personalized visualization illustrating the determined adherence to the prescribed treatment by modifying the image of the user.

Abstract: A method, a system and a computer program product may evaluate reduction of disease risk. Patient data of a patient may be received. A selection of a disease outcome may be received. A risk score that the patient will experience the selected disease outcome may be determined. The determining may use the patient data. Intervention options may be generated based on the patient data and by accessing a medical record data structure. An intervention effect for each of the intervention options may be determined. The intervention effect may change the risk score. The intervention effects may be compared. A recommendation of at least one of the intervention options may be provided based on the comparing of the intervention effects.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying a patient. In one aspect, a method comprises: receiving multi-modal data characterizing a patient, wherein the multi-modal data comprises a respective feature representation for each of a plurality of modalities; processing the multi-modal data characterizing the patient using an encoder neural network to generate an embedding of the multi-modal data characterizing the patient; determining a respective classification score for each patient category in a set of patient categories based on the embedding of the multi-modal data characterizing the patient; and classifying the patient as being included in a corresponding patient category from the set of patient categories based on the classification scores.

Abstract: Workflow sharing system and method are disclosed that allow a workflow server to provide a shared workflow, wherein the shared workflow generates at least one manifest, wherein the at least one manifest comprises a third-party interaction field, a credentials field, an input parameter field, and an output parameter field, wherein the workflow server receives a request for access to the shared workflow and transmits the at least one manifest of the shared workflow in response to the request for access to the shared workflow, wherein the at least one manifest comprises an acceptance requirement of the third-party interaction field, the credentials field, the input parameter field, and the output parameter field, wherein the workflow server receive consents of the acceptance requirement of the at least one manifest; and allows access to the shared workflow in response to the received consent of the acceptance requirement of the at least one manifest.

Abstract: A server computing device executing an electronic health records application (EHR) receives an indication from a client computing device that approval from a pharmacy benefits manager (PBM) with respect to prescribing a medication and/or treatment to a patient is requested. The EHR causes the server computing device to transmit an approval request to a computing system of the PBM, and monitors incoming messages for an approval message from the PBM. When the approval message is received, the EHR constructs a prescription for the medication and/or treatment for the patient and causes the prescription to be transmitted to a pharmacy.

Abstract: A secure medical device system includes a computer processing device that includes a processor, memory in communication with the processor, an interface enabling communication between the processor and a diagnostic test unit, a first wireless access point, computer-readable instructions stored in the memory and executable by the processor providing a locally-served web site that is browser accessible over the first wireless access point, and a second wireless access point operable concurrently with and independent from the first wireless access point. The locally-served web site is adapted to receive control instructions over the first wireless access point and to generate command signals transmittable over the interface to the diagnostic test unit, and the second wireless access point enables communication between the processor and an external network.

Abstract: A system and method are provided for managing creation of data objects, for example in a network or big data environment. A method comprises: receiving, at a processor, a data object creation command for creating the data object; comparing, at the processor, at least one data object creation parameter with a stored data object creation standard; and initiating creation of the data object in response to the data object creation parameter matching a corresponding parameter in the stored data object creation standard. The data object creation command can be modified to meet the stored data object creation standard, and to change an associated permission level. Embodiments of the present disclosure encapsulate standards defining how to create a data object, such that it is no longer necessary to have a person to make sure that these standards are followed, and automate management of object creation while ensuring conformity to organizational standards.

Abstract: The Use Determination Risk Coverage Datastructure for On-Demand and Increased Efficiency Coverage Detection and Rebalancing Apparatuses, Methods and Systems (“UDRCD”) transforms coverage enrollment request, event signal inputs via UDRCD components into coverage enrollment response, add-in recommendation outputs. A coverage enrollment request from a user is obtained. Available options for an enrollment user interface are configured based on the plan sponsor settings. Copay setting selections for individual core coverage services, atomized condition add-in selections, and atomized procedure add-in selections are obtained via the enrollment user interface. A core coverage cost and add-in coverage costs are calculated using the associated modeling data. A user cost for the user is calculated based on the core coverage cost, the subsidization settings for the core coverage cost, the add-in coverage costs, and the subsidization settings for the add-in coverage costs.

Abstract: Embodiments are directed to a method for determining an interview script in a claims submission. The method may comprising receiving data relating to a claim being submitted, which may include claims submission data input by a user, information relating to the user, and one or more features. Data associated with the one or more features may be determined from an artificial intelligence model. A first score based on the data associated with the one or more features and data associated with the information relating to the user may be determined and used to determine an interview script. In one embodiment, questions in the interview script may continue to be provided to the interviewer computer if a continually updated score remains above a predetermined threshold. In another embodiment, the user may be routed to a live interview with a human representative if a continually updated score drops below a predetermined threshold.

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: A system for extracting a key phrase from a document includes a neural key phrase extraction model (“BLING-KPE”) having a first layer to extract a word sequence from the document, a second layer to represent each word in the word sequence by ELMo embedding, position embedding, and visual features, and a third layer to concatenate the ELMo embedding, the position embedding, and the visual features to produce hybrid word embeddings. A convolutional transformer models the hybrid word embeddings to n-gram embeddings, and a feedforward layer converts the n-gram embeddings into a probability distribution over a set of n-grams and calculates a key phrase score of each n-gram. The neural key phrase extraction model is trained on annotated data based on a labeled loss function to compute cross entropy loss of the key phrase score of each n-gram as compared with a label from the annotated dataset.

Abstract: A system is configured to provide a dashboard creation system. Panels associated with queries for retrieving information from a database are shown in a user interface. Various other user interfaces show query code, panel display settings, function code, dependencies, etc. Queries in a first query format access a data source. Queries in a second query format access a cache database that is synchronized with the data source.

Abstract: A patient platform for patient engagement and treatment compliance is disclosed. In an example, a system includes a clinician server, a personal mobile communication device storing first registration information for communicating with the clinician server, and a home therapy machine assigned to a patient and configured to transmit treatment information related to a dialysis treatment performed on the patient. The home therapy machine is capable of being communicatively coupled to the clinician server via a separate Internet connection as specified by second registration information and the personal mobile communication device via a local connection. The home therapy machine is configured to transmit the treatment information to the personal mobile communication device when the second registration information is not available or the separate Internet connection is not available.

Abstract: A system, method, and mobile device application are configured to capture, with a mobile device, a document such as a next generation sequencing (NGS) report that includes NGS medical information about a genetically sequenced patient. The method includes receiving, from a mobile device, an image of a medical document comprising NGS medical information of the patient, extracting a first region from the image, extracting NGS medical information of the patient from the first region into a structured dataset, the extracted NGS medical information including at least one RNA expression, correlating a portion of the extracted NGS medical information that includes the at least one RNA expression with summarized medical information from a cohort of patients similar to the patient, and generating, for display on the mobile device, a clinical decision support report comprising the summarized medical information.

Abstract: A communication device includes circuitry configured to acquire a digital certificate including information associated with a first attribute from a first device coupled to any of a plurality of devices sharing a distributed ledger having recorded therein a correspondence between an attribute of user information included in the digital certificate and a definition of the attribute, receive a request for information associated with a second attribute from a second device coupled to any of the plurality of devices, acquire a first definition associated with the first attribute, and a second definition associated with the second attribute, from any of the plurality of devices, and transmit a digital certificate including information associated with the first attribute to the second device together with a message notifying that the first attribute and the second attribute have the same definition, when the first definition and the second definition match.

Abstract: A method, apparatus and computer program product group records based upon a prediction of the content of the records. In the context of a method, data associated with respective subjects of the records is received and a threshold of a machine learning model is adjusted to satisfy an accuracy requirement for record categorization. In response to analyzing the data, but not the records, by the machine learning model, the method separates, using the machine learning model, the records into the first and second groups with the first group including records that the associated data indicates are more likely to support the addition of a code and the second group including records that the associated data indicates are less likely to support the addition of a code. The method also includes subsequently processing the records in different manners depending upon whether the records are included in the first or second group.

Abstract: A method and system is disclosed for receiving patient test data from a point of care device for a medical test performed on a patient using the point of care device, performing device specific processing on the received patient test data by processing the received patient test data to identify a device type from the received patient test data, and reformatting the received patient test data according to a test type using the identified device type, and transmitting the reformatted patient test data to a remote server system over a network.

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: A computer system may generate a curated health ontology. The curated health ontology may be used by a requesting system. The curated health ontology generated from on a set of standard health codes combined with augmentation information, which supplements and/or otherwise changes the standard health codes. Once generated, the curated health ontology may be transmitted to the requesting system.

Abstract: A computer program product for gathering respondent input for determining a ranking of states each characterized by a set of selected levels each associated to an attribute. The interface mechanism provides for inputting selected attribute levels of a respondent state and for ranking of comparable alternative states determined in response to the inputted respondent state, in comparison with that respondent state. The alternative states are each displayed as the set of attributes with the associated set of alternative levels simultaneously and with an input field for inputting a preference indication of the shown alternative state compared with the respondent state. This allows the respondent input to be entered with very few input actions and little switching between screens. Only the selected attribute levels of the respondent state and the rankings and identifications of the determined alternative states need to be transmitted to the central computer.

Abstract: A system and method for predictively following up with a user to improve medication adherence. The system includes a medication adherence monitoring apparatus for determining whether a user has taken a medication at a predetermined medication administration time, and a processor for categorizing each determination of whether a user has taken the medication at a predetermined time across a plurality of different dimensions, combining the plurality of different dimensions in a plurality of different combinations to generate a patient adherence score across each of the plurality of different combinations, and ranking a user in accordance with each of the plurality of different combinations. The system further includes a communication apparatus for contacting a user to encourage medication adherence in accordance with at least the ranking of the user in accordance with one or more of the plurality of different combinations.

Abstract: In an aspect a system for osteoporosis monitoring is presented. A system includes a computing device. A computing device is configured to measure osseous tissue data of a user through an osseous measurement device. A computing device is configured to determine a current osteoporosis state of a user as a function of measured osseous tissue data of a user. A computing device is configured to predict an advancement of a current state of osteoporosis of a user. A computing device is configured to generate an osteoporosis recovery program for the user. A computing device is configured to display an osteoporosis recovery program to a user. A computing device is configured to receive, through a remote computing device, physiological data of a user. A computing device is configured to update an osteoporosis recovery program.