Abstract: This disclosure is directed towards a patient management system for selectively storing and/or sharing patient data. A wearable device may sense a condition associated with the wearer of the wearable device, and store values based on the condition for a period of time. The wearable device may determine that the wearable device is within range of another device, such that the wearable device can communicate with the other device, and output the values to the other device. Additionally, a computing device of the patient management system may receive, from a wearable device, first data associated with a condition of a wearer of the wearable device. The computing device may also receive second data associated with the condition from a sensing device. The computing device may determine a context of the wearer based on comparing the first and second data, and control output of an alert based on the context.

Abstract: A monitoring server is provided for learning event patterns in pharmaceutical order processing and identifying anomalous events based on learned event patterns. The monitoring server is configured to define a plurality of feeds of monitoring data from the monitored nodes using a monitoring link. The feeds of monitoring data are defined at least partially based on the monitoring vector definition. Each feed of monitoring data is associated with pharmaceutical order processing. The processor is additionally configured to determine a set of monitoring vector data for each of the plurality of feeds of monitoring data. The processor is also configured to identify a monitoring vector signature for each of the plurality of feeds. The processor is also configured to identify an anomalous data pattern. The processor is also configured to transmit an alert indicating that pharmaceutical order processing for the associated feed of monitoring data is anomalous.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating source-specific, persistent patient identifiers for healthcare service providers. One method includes accessing a record of healthcare data, wherein the record includes patient identifying information (PII) associated with one or more persons to whom the healthcare data pertains. The portions of PII included in the accessed record of healthcare data are extracted from the accessed record and encrypted. Based on one or more business rules, one or more hashed tokens are created by applying one or more hashing functions to the extracted portions of PII. A source-specific identifier is received, the source-specific identifier having been encoded in a manner specific to an organization associated with the computer system and having been encoded with reference to the one or more hashed tokens. An association is stored between the source-specific identifier and the accessed record of healthcare data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating source-specific, persistent patient identifiers for healthcare service providers. One method includes accessing a record of healthcare data, wherein the record includes patient identifying information (PII) associated with one or more persons to whom the healthcare data pertains. The portions of PII included in the accessed record of healthcare data are extracted from the accessed record and encrypted. Based on one or more business rules, one or more hashed tokens are created by applying one or more hashing functions to the extracted portions of PII. A source-specific identifier is received, the source-specific identifier having been encoded in a manner specific to an organization associated with the computer system and having been encoded with reference to the one or more hashed tokens. An association is stored between the source-specific identifier and the accessed record of healthcare data.

Abstract: Various devices and methods are provided for machine learning-driven medical diagnostic testing. In one example, a method includes generating a patient-specific collaboration channel comprising a patient-specific dashboard and a communication thread between a care provider team monitoring a patient and a virtual healthcare assistant, storing, at the channel, text- and/or rich media-based messages on the communication thread between one or more care providers of the care provider team and the virtual healthcare assistant, at least a portion of the messages on the communication thread including patient-specific medical data, and responsive to a prompt, outputting at least a portion of the communication thread that includes the patient-specific medical data to a display device.

Abstract: Techniques for addressing various technical problems associated with managing medical devices and data related to medical devices, for instance medical implants in a graphics case or medical device kit, are described herein. One or more medical device handling applications can execute on a medical device computer system. Such a computer system can include one more computing devices, such as for example a client device and a server device, that can optionally communicate with each other to send and receive information associated with medical devices. The computer system can further include a wearable device and a server device that can optionally communicate with each other to send and receive information associated with medical devices and medical device kits.

Abstract: A system including a range of motion, quality of sleep, overall, and control modules. The range of motion module, prior to a procedure being performed on a patient, determines a first range of motion score of the patient based on a first signal generated by a sensor. The quality of sleep module, prior to the procedure being performed on the patient, determines a first quality of sleep score or a first pain score based on the first signal. The overall module determines a combined score based on the first range of motion score and the first quality of sleep score or the first pain score. The control module compares the combined score to a predetermined threshold and predicts an outcome of the procedure based on the comparison. The control module, based on the combined score, determines whether to perform the procedure, adjust the procedure or refrain from performing the procedure.

Abstract: Various systems and devices are provided for facilitating communication in a healthcare setting. In one example, a system for providing medical information can include a processor that, in response to executing machine-readable instructions, can generate a patient dashboard comprising the medical information for a patient and a patient communication thread. The processor can also output the patient dashboard to a display, wherein the patient dashboard further comprises a first link proximate to a displayed parameter from the medical information and the processor can obtain communication among care providers monitoring the patient and virtual healthcare assistants configured to communicate on the communication thread. The processor can also output the communication from the care providers, the virtual healthcare assistances, or any combination thereof, in the patient communication thread of the patient dashboard provided by the display.

Abstract: Methods and systems for detecting and tracking drug extraction from one or more drug storage apparatus at a central server. The system involves one or more authenticated drug storage apparatus and the central server. An access detection computer circuit integrates with packaged drugs, creating detectable drug packaging. The access detection computer circuit provides drug access detection trigger signals when drugs are accessed from the detectable drug packaging. There is a communication device for transmitting secure communication messages between the components.

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: A medical incident response and reporting system includes a central server in communication with a contact center having a medical incident case manager communication device continuously monitored by a medical incident case manager. A patient communication device communicative with the case manager communication device to facilitate communication between the patient and the case manager to evaluate the medical incident involving the patient, while recording all communications between the patient and the case manager.

Abstract: A delivery management system includes a drug wrapping 140, a delivery container 26, a delivery management device 7, and a barcode sheet 137. The barcode sheet 137 includes a barcode label 137c indicating a serial number related to a drug, a barcode-image portion 137e indicating the serial number related to the drug, and a barcode label 137d indicating a delivery-container ID related to the delivery container. When the drug wrapping to which the barcode label 137c separated from the barcode sheet is attached, the delivery container, and the barcode sheet from which the barcode label 137c has been separated reach a delivery destination, the drug wrapping is verified using the barcode label 137d attached to the delivery container and the barcode-image portion 137e.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating source-specific, persistent patient identifiers for healthcare service providers. One method includes accessing a record of healthcare data, wherein the record includes patient identifying information (PII) associated with one or more persons to whom the healthcare data pertains. The portions of PII included in the accessed record of healthcare data are extracted from the accessed record and encrypted. Based on one or more business rules, one or more hashed tokens are created by applying one or more hashing functions to the extracted portions of PII. A source-specific identifier is received, the source-specific identifier having been encoded in a manner specific to an organization associated with the computer system and having been encoded with reference to the one or more hashed tokens. An association is stored between the source-specific identifier and the accessed record of healthcare data.

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: Systems and methods for tracking biological samples are presented. Intrinsic and extrinsic biological sample data and/or intrinsic and extrinsic patient data may be used to label a biological sample obtained at a point-of-care facility, which may be sent to a processing facility, wherein the labeled biological sample undergoes analysis and/or processing into a labeled therapeutic. The labeled therapeutic is delivered back to the point-of-care facility, wherein the labeled therapeutic is tested for the presence of the additives prior to administration to a patient. Multi-factor validation is performed, including validating the identity of the patient to a container, validating the identity of the labeled biological sample/therapeutic to the container, and thus, validating the identity of the labeled therapeutic to the patient. The entire life cycle of a biological sample used to generate a personalized therapeutic is validated, and ensures that mix-ups or errors in administration are reduced or eliminated.

Abstract: A system for generating a procreant functional program includes a computing device configured to obtain a procreant marker as a function of a procreant system, determine a procreant appraisal as a function of the procreant marker, wherein determining further comprises producing a procreant enumeration as a function of the procreant marker, and determining the procreant appraisal as a function of the procreant enumeration, and a safe range, receive a conduct indicator, identify a functional signature as a function of the conduct indicator, wherein identifying further comprises obtaining a salubrious reference, and identifying the functional signature as a function of the salubrious reference and the conduct indicator using a functional machine-learning model, and generate a functional program as a function of the functional signature and procreant appraisal using a program machine-learning model.

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 system for generating a stress balance instruction set for a user, the system comprising a computing device, wherein the computing device is configured to receive a plurality of user data to calculate a stress score of a user. Calculating the stress score further comprises training a machine-learning model as a function of stress score training data that numerically describes stress in a user. Computing device generates a plurality of user metrics as a function of the plurality of user data and the machine-learning model and calculates an overall stress score. Computing device determines a stress imbalance using the overall stress score by training a machine-learning model and determining any difference between an anticipated normal stress score and user the stress score. Computing device generates a stress balance instruction set by training a machine-learning model, identifying a strategy, and generating an instruction set for implementing the strategy.

Abstract: Systems and methods including analyzing profiles, generating medical recommendations, prioritizing the medical recommendations, throttling the medical recommendations, and transmitting a prioritized set of medical recommendations to a device that displays the information are disclosed. The medical recommendations may be prioritized based on an importance of the recommendation to a patient, a medical severity, and/or prior interaction with the system. The medical recommendations may be throttled to determine a number of recommendations to display to a medical provider during a period of time, such as a patient examination.

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.