Abstract: A computer program product includes multiple microservices for interrogating clinical records according to one or more projects associated with patient datasets obtained from electronic copies of source documents from the clinical records. A first microservice generates a user interface including a first portion displaying source documents and, concurrently, a second portion displaying structured patient data fields organized into categories for entering structured patient data derived from the source documents displayed in the first portion. Categories and their organization are defined by a template and include cancer diagnosis, staging, tumor size, genetic results, and date of recurrence. A second microservice validates abstracted patient data according to validation rules applied to the categories, validation rules being assigned to the projects and performed on the categories as they are populated.

Abstract: Embodiments for managing medical anomalies by one or more processors are described. Medical data associated with an individual is received. The medical data is detected by a first computing device. The first computing device includes a mobile electronic device. The received medical data is compared to stored medical data associated with the individual. Based on the comparison of the received data to the stored data, a control signal for a second computing device is caused to be generated.

Abstract: A method including authorizing a user to access a dispensing unit upon receipt of a medication request, is provided. The dispensing unit comprises a storage location with one or more door enclosure storing at least one container. The method also includes providing a visual indicator to the user for a selected container in the storage location with one or more door enclosure, the selected container comprising a medication associated with the medication request, and unlocking the selected container for the user by wirelessly actuating a latch for a lid in the selected container from a mat that is communicatively coupled with the dispensing unit. The method also includes locking the selected container when the user verifies a transaction comprising the medication request, and updating a record and a medication inventory in a remote server based on the transaction. A storage location with one or more door enclosure and a container used in the above method are also provided.

Abstract: A method includes receiving data pertaining to a user that uses a treatment apparatus to perform a treatment plan. The data includes characteristics of the user, the treatment plan, and a result of the treatment plan. The method includes assigning the user to a cohort representing people having similarities to the characteristics of the user. The method includes receiving second data pertaining to a second user, the second data comprises characteristics of the second user. The method includes determining whether at least some of the characteristics of the second user match with at least some of the characteristics of the user, assigning the second user to the first cohort, and selecting, via a trained machine learning model, the treatment plan for the second user, and controlling, based on the treatment plan, the treatment apparatus while the second user uses the treatment apparatus.

Abstract: A method for handing off diagnostic test results to a telemedicine provider is provided. The method comprises receiving diagnostic test results in response to a diagnostic test, determining if the diagnostic test results include a positive result, storing the diagnostic test results on a server disposed on a network, sending the diagnostic test results from the server to the telemedicine provider, sending additional medical history information to the telemedicine provider, and initiating a telemedicine conference with the telemedicine provider.

Abstract: Techniques disclosed herein relate to generating and applying subject event timelines for various purposes. In various embodiments, data indicative of medical events associated with a subject may be retrieved from various data sources. Each of the medical events may be associated with a respective timestamp. Based on the medical events and associated timestamps, a timeline data structure associated with the subject may be assembled. The timeline data structure may be analyzed to identify inconsistenc(ies) between medical events associated with the subject. A visual timeline indicative of the medical events may be rendered on a display based on the timeline data structure. Each respective medical event may be represented in the visual timeline by a graphical element. Two or more of the graphical elements that are associated with the medical events for which the inconsistenc(ies) were identified may be visually distinguished.

Abstract: The present invention(s) provide systems and methods for identifying one or more long-term health conditions that a patient may be suffering from, and providing an appropriate intervention plan for managing the health condition. In addition, the present invention(s) provide systems and methods for prioritizing among various potential long-term health conditions that a patient may suffer from, and provide an appropriately prioritized intervention plan for managing a variety of health conditions. Finally, the present invention(s) provide systems and methods for continuously monitoring patient health and/or outcome data to appropriately change an intervention plan based on the specific response that may be exhibited by a patient. In this manner the present invention(s) provide a systematized approach for managing long-term health conditions that previously required guesswork and continuous trial and error.

Abstract: A device that allows for patient identification comprising a housing, a biometric sensor, coupled to the housing. the biometric sensor is configured to detect a biometric feature of a patient. The device further comprises a signal transmitter configured to transmit data related to the detected biometric feature to a medical treatment machine for carrying out a medical treatment on the patient. The patient identification device is configured to be secured to the patient during the dialysis treatment.

Abstract: A system for timing impact of nourishment consumption, the system including a computing device configured to receive a nutrient profile of a subject, wherein the nutrient profile maps physiological data of the subject to current nutrient levels of the subject, determine, using the nutrient profile, a nourishment consumption program, wherein the nourishment consumption program includes at least an alimentary element, and a time of day for consuming the alimentary element wherein the time of day is determined as a function of the nutrient profile and the current nutrient level of the subject, and provide, to the subject, the nourishment consumption program.

Abstract: Embodiments in the present disclosure relate generally to computer network architectures for machine learning, artificial intelligence, and the automatic development of patient care groupings of patient data. Embodiments of computer network architecture automatically generate care grouping, and organize and analyse patient care data accordingly, and generate and transmit reports of the care grouping definitions, data, and analysis. Embodiments may generate care groupings either occasionally on demand, or periodically, or as triggered by events such as an update of available data. Embodiments may include a combination system databases with data provided by system users, and third-party databases to generate the patient care groupings, including social media data, financial data, socio-economic data, medical data, search engine data, e-commerce site data, and other databases.

Abstract: A method for transferring data from a medical device to a server comprises receiving a video stream from the medical device, capturing an image from the video stream, transmitting the image to the server via a data network, and extracting the data from the image. The image may illustrate and/or represent data over a period of time. The method may also comprise transmitting, from a data module receiving the video stream from the medical device, a signal to a router that indicates that the data module is connected to the network. The method may also comprise transmitting a command to the data module to start capturing the image, transferring the image to the router, broadcasting a signal indicating that the data module has captured the image, receiving the broadcasted signal at the server, and storing the image at the server.

Abstract: Mechanisms are provided for implementing a framework to learn multiple drug-adverse drug reaction associations. The mechanisms receive and analyze patient electronic medical record data and adverse drug reaction data to identify co-occurrences of references to drugs with references to adverse drug reactions (ADRs) to thereby generate candidate rules specifying multiple drug-ADR relationships. The mechanisms filter the candidate rules to remove a subset of one or more rules having confounder drugs specified in the subset of one or more candidate rules, and thereby generate a filtered set of candidate rules. The mechanisms further generate a causal model based on the filtered set of candidate rules. The causal model comprises, for each ADR in a set of ADRs, a corresponding set of one or more rules, each rule specifying a combination of drugs having a causal relationship with the ADR.

Abstract: Wearable technologies, such as wearable health monitors, and methods of use are provided. In some embodiments, the wearable technology can be worn at the wrist of an individual and can use an accelerometer, pulse oximeter, and electrocardiogram to measure heart rate, oxygen saturation, blood pressure, pulse wave velocity, and activity. This information can then be provided to the individual. The individual can alter their behaviors and relationships with their own health by using features such as notifications and auto-tagging to better understand their own stress, diet, sleep, and exercise levels over various time periods and subsequently make appropriate behavioral changes.

Abstract: A method, system, and computer-readable medium to stratify a health risk acquires structured information and unstructured information from a plurality of sources, converts at least some of the unstructured information to structured information, and geocodes the acquired structured information and converted structured information to produce geocoded data. Health information of a plurality of subjects are similarly geocoded to produce geocoded subject health data and merged with the geocoded data and mapped to a dashboard.

Abstract: Mechanisms are provided for implementing a framework to learn multiple drug-adverse drug reaction associations. The mechanisms receive and analyze patient electronic medical record data and adverse drug reaction data to identify co-occurrences of references to drugs with references to adverse drug reactions (ADRs) to thereby generate candidate rules specifying multiple drug-ADR relationships. The mechanisms filter the candidate rules to remove a subset of one or more rules having confounder drugs specified in the subset of one or more candidate rules, and thereby generate a filtered set of candidate rules. The mechanisms further generate a causal model based on the filtered set of candidate rules. The causal model comprises, for each ADR in a set of ADRs, a corresponding set of one or more rules, each rule specifying a combination of drugs having a causal relationship with the ADR.

Abstract: A computer-aided recognition system for treatment response of rectal cancer is provided to predict the probability of a pathological complete response (pCR) of a rectal cancer patient after preoperative neoadjuvant chemoradiotherapy. The system includes a random forest model having several decision trees. Each decision tree has at least a feature node. Each feature node generates two branches according to a feature threshold, wherein each branch connects to another feature node or corresponds to an elementary pCR predicting probability. The random forest model integrates the elementary pCR probability of each decision tree, so as to generate a final pCR probability.

Abstract: A system for generating a digestive disease nourishment program includes a computing device configured to receive a digestive biomarker relating to a user, generate a digestive parameter as a function of the digestive disease biomarker, determine a digestive profile as a function of the digestive parameter. The computing system is configured to identify a nutrition element as a function of the digestive profile, wherein identifying includes determining, for each nutrition element, a nourishment score as a function of the effect of the nutrition element on the digestive profile and identifying the nutrition element as a function of the nourishment score. The system configured to generate a digestive disease nourishment program as a function of the nutrition element and the digestive profile.

Abstract: Methods, systems, and products measure health data related to a user. A time-stamped device identifier is received that uniquely identifies a communications device. A time-stamped sensor measurement is separately received. A difference in time between the time-stamped device identifier and the time-stamped sensor measurement is determined. When the difference in time is within a window of time, then the sensor measurement is associated with the device identifier.

Abstract: A computing system for redirecting electronic prescription refills is disclosed herein. A server computer device executing an electronic health records application constructs an electronic prescription for a patient and causes the electronic prescription to be routed to a first pharmacy device of a first pharmacy. The electronic prescription includes at least one refill. Subsequently, the server computing device receives an identifier for the electronic prescription and an identifier for a second pharmacy from a second server computing device executing a patient portal application, wherein the identifier for the second pharmacy is specified by the patient. The server computing device identifies the electronic prescription, determines a number of refills remaining on the electronic prescription, and constructs a second electronic prescription including the number of refills.

Abstract: The present disclosure relates to automated systems and methods which assess the quality of radiology examinations and identify actionable changes to improve the quality of future exams. For each of a plurality of imaging studies, a study protocol and set of study metrics can be defined and the defined study protocol can be performed to generate data associated with the imaging study. A metrics assessment can be performed by applying at least a portion of the data associated with the result of the imaging study against the set of study metrics for the imaging study so as to generate a metrics score for the imaging study. The metrics scores can be stored in a score repository and analyzed so as to provide recommendations to improve the examination process.