Abstract: Provided are computer implemented method and systems for providing and monitoring patient compliance with a patient healthcare treatment plan. The method includes receiving, from a healthcare provider over a network, application features for generating a patient application including patient instructions for using a medical therapy, and generating an application for a patient. The application includes at least an input for the user to input data for use in evaluating patient compliance with a treatment plan. In addition, the method includes receiving, from the healthcare provider over the network, a prescription for the application for the patient, and activating the application after the patient receives training on use of the application. The method also may include receiving patient compliance data from the application over the network based on the input.

Abstract: Systems and methods are provided for receiving a data set that includes demographic data and population data; training, based on the data set, a neural network to establish a relationship between different physical layouts of messages and responses to the different physical layouts of the messages; applying the trained neural network to a user profile to predict a physical layout of a message; generating instructions for an electronic device based on the predicted physical layout of the message, the instructions comprising the message; and transmitting the instructions to the electronic device to create a physical label having a layout corresponding to the predicted physical layout of the message.

Abstract: There are provided herein a system and a computer implemented method for preventing, mitigating or treating partial/complete loss of effect of one or more drugs or medical devices administered to or used by a subject in need thereof due to adaptation, tolerance, and/or tachyphylaxis, and/or for preventing, mitigating or treating non-responsiveness to one or more drugs, maximizing therapeutic effect of one or more drugs, or for improving target or non-target organ/organs response to therapy, the system/method include (processing circuit configured to): receiving a plurality of physiological or pathological parameters of the subject; applying a machine learning algorithm on the plurality of physiological or pathological parameters; and determining a subject-specific administration regimen of a drug or a medical treatment, wherein the administration regimen comprises drug administration parameters, cell/tissue/organ stimulation parameters, adjuvant parameters or any combination thereof; wherein the administratio

Abstract: A method of sending a medical data file from an external device to a computer system and storing the data file associated with a patient's identity, comprising: a) the computer system receiving information that a data file to be sent to the computer system from the external device (or from one of a set of external devices) is to be associated with the patient's identity; b) sending the data file from the external device to the computer system, with the data file identified as coming from the external device; c) the computer system finding the patient's identity from the identification of the image file as coming from the external device, and from the information that a data file to be associated with the patient's identity was to be sent from that external device; and d) the computer system storing the data file, associating the data file with the patient's identity.

Abstract: In a method for advanced identification of a customer, a customer may remotely place an order, intending to later go to a store to pick up the ordered item. The store may have a pick-up area (e.g., at the back of the store) where the customer can go to pick up the ordered item. To save the customer time, the customer may be identified when she enters the store so that an employee can obtain her ordered item and have it ready to pick up by the time the customer walks through the store and arrives at the pick-up area.

Abstract: An example embodiment may involve (i) receiving, by a server device, deoxyribonucleic acid (DNA) information associated with a user; (ii) parsing, by the server device, the DNA information to identify one or more single nucleotide polymorphisms (SNPs)—(iii) determining, by the server device and based, on the identified SNPs, an endocannabinoid genotype of the user; (iv) determining, based on the endocannabinoid genotype of the user, a recommendation of one or more cannabinoid formulations; (v) transmitting, to a client device associated with the user, a web-based representation of a first graphical user interface; and (vi) receiving, from the client device, an indication to display a detailed representation of a particular cannabinoid formulation of the one or more cannabinoid formulations.

Abstract: Provided is a process, including: obtaining geographic regions and geolocations that are places of interest within those geographic regions; obtaining first data about at least some of the plurality of geolocations, wherein the first data is not pathogen specific; obtaining second data about at least some of the plurality of geolocations, wherein the second data is pathogen-specific; determining geolocation-pathogen-risk scores of the geographic regions based on both the first data and the second data; determining geolocation-pathogen-risk scores of the places of interest with a machine learning model trained to allocate risk of geographic regions to places of interest based on at least some of the first data.

Abstract: Provided are computer implemented method and systems for providing and monitoring patient compliance with a patient healthcare treatment plan. The method includes receiving, from a healthcare provider over a network, application features for generating a patient application including patient instructions for using a medical therapy, and generating an application for a patient. The application includes at least an input for the user to input data for use in evaluating patient compliance with a treatment plan. In addition, the method includes receiving, from the healthcare provider over the network, a prescription for the application for the patient, and activating the application after the patient receives training on use of the application. The method also may include receiving patient compliance data from the application over the network based on the input.

Abstract: A system, apparatus, and method for providing an automated translation engine for translating a prescription into a standardized format is generally disclosed. More particularly, embodiments described in this disclosure relate to a system, apparatus, and method for automatically receiving a prescription form, analyzing information provided on the prescription form, and translating the information into a standardized form that details medication information including medication administration directions that are easy for a reader to understand.

Abstract: A portable medical triage kit and interactive application that leads a user through a medically acceptable triage protocol for treating medical emergencies. The interactive application leads the user to treat major life threats of all nearby victims before treating minor threats of anyone.

Abstract: Method and apparatus for assisting psychological cure in automated chatting. At least one message may be received in a chat flow, a psychological test may be performed based on the at least one message, and a cure strategy may be provided based at least on the psychological test. A first request for obtaining user information of a user may be received in a chat flow, the user information may be provided based on the first request, a second request for obtaining a suggested cure strategy for the user may be received, and the suggested cure strategy may be provided based on the second request, wherein the suggested cure strategy may be determined based at least on the user information.

Abstract: A method includes generating an intervention model for a population of users based on contact data, demographic data, and engagement data indicating successfulness of prior interventions for each of the population of users. The method includes, obtaining first data related to a first user, including engagement data indicating successfulness of prior interventions with the first user. The method includes supplying the obtained data as input to the intervention model to determine an intervention expectation, which indicates a likelihood that the first user will take action in response to an intervention. The method includes determining a likelihood of a gap in care. The method includes, in response to the care gap likelihood exceeding a minimum threshold, selecting and scheduling execution of a first intervention. The first intervention is one of a real-time communication with the first user by a specialist and an automated transmission of a message to the first user.

Abstract: A medication administration and verification system includes scanning a code for a cavity of a multi-dose package to identify at least one previously prescribed medication determined at a time of packaging the at least one previously prescribed medication in the cavity. A list is received in response to the electronically encoded package identifier for at least one currently prescribed medication. At least one visual indicator is displayed respectively corresponding to the at least one currently prescribed medication for the patient for administration during the medication administration event, and a presence or exclusion of each of the currently prescribed medication in the cavity is automatically confirmed for the presence or the exclusion of in the cavity.

Abstract: A computer-implemented method includes generating an intervention model for a population of users based on engagement data indicating successfulness of prior interventions for each of the population of users. Each prior intervention corresponds to one of multiple engagement channels, and the intervention model includes multiple channel-specific models. The method includes supplying data related to a first user as input to the intervention model to determine multiple channel-specific intervention expectations. Each channel-specific intervention expectation indicates a likelihood that the first user will take action in response to an intervention being executed using the corresponding engagement channel.

Abstract: A method for automatically classifying clinical descriptions of patients by a computer processor using natural language processing is provided. The clinical descriptions relate to the use of a ventricular assist device to treat the patient. The method comprises receiving at least one clinical description comprising text. The method also then comprises determining the position of a target word within the text. Further the method comprises determining the existence of at least one negation word within an active region, the active region comprising a predetermined number of words within the text occurring immediately before and immediately after the target word, including the target word. The method then comprises determining the existence of at least one body-part word within the active region. Lastly, the method comprises determining that the clinical description is to be disregarded if the active region contains either a negation word or a body-part word.

Abstract: A method for generating a user interface for analyzing a patient-specific electronic medical or health record that includes a problem list includes the steps of grouping related potential problems into problem list categories, grouping a subset of the problems into clusters within the categories, mapping, using a computer, entries in the problem list with a respective description in an interface terminology, associating one or more of other medical data, e.g., medication, lab results, procedures, imaging results, past medical history or surgeries, notes, vital signs, or allergy data in the record withdf at least one problem, receiving a request corresponding to a problem or problem list category or to other medical data, identifying non-problem data in the record grouped in a cluster with the requested data, and modifying a user interface to display the identified data separate from other similar medical data included in the electronic medical or health record.

Abstract: Medical devices and related patient management systems and methods are provided. A method of presenting information pertaining to operation of a medical device involves obtaining historical glucose measurement data for a patient from a database, identifying, based on the historical glucose measurement data, a first set of event patterns within respective ones of a plurality of monitoring periods, obtaining an adjusted set of glucose measurement data determined based on the historical glucose measurement data and an uncertainty metric associated with the historical glucose measurement data, identifying, based on the adjusted set of glucose measurement data, one or more event patterns within respective ones of the plurality of monitoring periods, and generating a graphical user interface display comprising an event detection region based at least in part on the first plurality and the one or more sets of event patterns.

Abstract: Systems and methods for surgical preparation are disclosed. A system may include at least one processor configured to access a repository surgical video footage. The processor may enable a surgeon preparing for a contemplated surgical procedure to input case-specific information corresponding to the contemplated surgical procedure and compare the case-specific information with data associated with the surgical video footage to identify a group of intraoperative events likely to be encountered during the contemplated surgical procedure. The processor may determine that a first set and a second set of video footage from differing patients contain frames associated with intraoperative events sharing a common characteristic and omit the second set from a compilation to be presented to the surgeon and include the first set in the compilation to be presented to the surgeon to enable the surgeon to view a presentation including the compilation.

Abstract: A system and method for problem list categorization and management in an electronic health or medical record includes matching each entry in the list with an interface terminology concept, grouping related concepts together into one or more categories, and grouping entries into one or more nested sets of problems. Groupings are accomplished by analyzing semantic distances between concept elements to determine which entries are duplicates according to the interface terminology and which are different but related to sufficiently similar concepts. Certain elements will be sufficiently related that they are nested or clustered within a single problem list element. Others are different enough to merit different elements but classification within a common category of problems.

Abstract: Given information identifying a user who is not logged into a system, the user is provided a guest order status of one or more pharmacy orders; the guest order status masks sensitive information of the user.