Abstract: A self-documenting clinical trial operations system and service suite and method, with a clinical trial operation software, a coordinator application and coordinator portal, providing information for the clinical trial operation software, a trial design services module, examining a trial design provided by a coordinator and automatically generating a software specification for a trial operations service suite, a patient application and patient portal generated from the trial design services module, for providing patient information for the clinical trial operation software, a customization option to customize at least one of the patient application and patient portal, a specification option to generate a specification document describing a design of a coordinator-customized patient application, wherein the customization and specification options are provided to the coordinator via the coordinator portal.

Abstract: A data command center visual display system presents dynamic data to a display screen. The command center visual display system includes a plurality of adjustable display panels configured to display predetermined combinations of patient identification information, patient insurance information, patient medical history information, a patient's insurance billing regulations, preferred practice patterns, and patient payment information, and a patient flowsheet that integrates the patient medical history information and patient payment information into a table that presents the patient's medical history by visit to one or more physicians with respective procedures or actions performed during each visit represented as icons identifying the procedure performed and icons indicating whether the procedure has been paid for in part or in full, the icons providing links to associated medical history data and/or financial data.

Abstract: Various aspects described herein relate to a location-based and population-based health metric processes. In one example, a computer-implemented method for generating one or more predicted health metrics for a location includes receiving a request to assess the one or more health metrics associated with the location, and identifying at least one current or future built, social, or natural environment parameter associated with the location. The method may further include calculating one or more predicted health metrics associated with the location based upon at least one of the current or future built, social, or natural environment parameters associated with the location, monetizing the healthcare costs of the predicted health metrics and displaying the one or more predicted health metrics and costs.

Abstract: An apparatus, including a memory or a database which stores an electronic healthcare record of or for an individual or a patient a comment, note, or message, in advance of a video call, and information regarding an appointment for or regarding the video call; a processor which generates an appointment message or reminder message containing information regarding the appointment and containing a link or hyperlink for initiating the video call, wherein the video call is initiated via the link or the hyperlink; a receiver which receives information regarding the individual or the patient during the video call, receives information input into or entered into a provider communication device or a user communication device, wherein the processor or a computer generates a report containing information regarding the video call; and a transmitter, wherein the transmitter transmits the report to the user communication device.

Abstract: A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

Abstract: A system and method for integrating a workflow platform with an electronic health record system (EHRS) is disclosed. The system and method includes at least: receiving from the EHRS, a context tag embedded in a screen of the EHRS that is currently being presented to a user, where the context tag includes: an authentication parameter identifying the user accessing the screen, and a context identification parameter identifying a context of the screen. Authentication is performed to authenticate the user based on the authentication parameter. Based on authenticating the user, launch of the workflow platform is initiated. The workflow platform is populated with data retrieved based on the context identification parameter such that which data is retrieved depends on the context identification parameter.

Abstract: A method to perform automatic corneal topography or tomography difference mapping includes receiving one or more corneal topography or tomography data files and/or a corneal image for an examined patient from a corneal topography or tomography system; receiving personal identification parameters from captured user personal data communicated from the corneal topography or tomography system; and comparing received patient identification parameters to existing patient identification parameters in a database to identify if there are existing topography or tomography data files for a same patient in the database. The method may further include retrieving a prior topography or tomography data file for the patient from the database; and performing difference mapping by comparing the received topography or tomography data files to the prior topography or tomography data file retrieved from the database to generate a topography or tomography difference map.

Abstract: Systems and methods for management of a distributed ledger including prescription information are disclosed. An example apparatus includes a processor and a logical data structure to configure a device according to an electronic prescription defining an action for a patient, the electronic prescription organized as record(s) in a distributed ledger and processible by the device to apply the action to the patient. The electronic prescription is to cause the device to at least: configure the device to apply the action to the patient; validate the action for the patient using the distributed ledger; and propagate a record of the action to the distributed ledger.

Abstract: A mobile medical device for monitoring a respiratory condition in a subject, the medical device including: a sensor configured to be adhered to the skin of a patient, the sensor configured to yield a resistance signal that is modulated by movements of a chest of a patient during respiration; a sensor attachment module configured to receive the signal from the sensor and to output data to a mobile electronic device an indication of an adverse respiratory event. Also disclosed is a server for integrating data collected from a plurality of the mobile medical devices and a crowd-sourced respiration advisory system including a plurality of the mobile medical devices and a server for integrating data collected by the mobile medical devices.

Abstract: A medical device has a sensor interface, a data network interface, a wireless interface, a computer, and a touch-sensitive display unit. The sensor interface detects a sensor signal indicative of at least one physiological parameter of a patient. The computer provides medical data derived from the sensor signal via the data network interface. The wireless interface receives wireless signals indicative of patient identification of a mobile device carried on the patient. The computer selects a patient identifications subset based on the wireless signals as well as determining respective image data sets based on the selected patient identifications and actuates the display unit to display respective image data sets in respective display fields and to derive a selection of a certain image data set based on a signal provided by the display unit, and to provide the identification assigned to the image data set via the data network interface.

Abstract: A system is disclosed for evaluating diagnostic effectiveness of one or more diagnostic tests or additional findings from a set of known findings as to a patient. The system includes a computing device containing a software application which is used by a healthcare provider to review the patient's medical history and enter findings as to the patient's condition or symptoms, a system storing a validated probabilistic health model including a database of medical knowledge informed from aggregated electronic medical records or other sources of medical knowledge; and a medical knowledge-based inference engine operating on the patient's medical history and findings and the validated probabilistic health model. The engine determines a set of the most probable diseases of the patient, suggests a set of one or more tests or additional findings that differentiate the set of most probable diseases, and generates indicia indicating diagnostic effectiveness or relevancy of the one or more tests or additional findings.

Abstract: A method for predicting a patient outcome from a caretaker episode includes receiving a current episode snapshot of the caretaker episode comprising multi-modal data of the patient from an electronic health records (EHR) system, the multi-modal data including one or more available data modalities and one or more missing data modalities. The multi-modal data is applied as input to an embedding model having a submodel for each of the data modalities. A first embedding is generated for each of the available data modalities. A second embedding is generated for each of the missing data modalities using corresponding embeddings of neighbors in an episode snapshot graph. The first and second embeddings are combined to obtain a complete embedding. The patient outcome is predicted based on the complete embedding for the current episode snapshot using a machine learning component which has been trained using patient outcomes of the historical episode snapshots.

Abstract: A drug distribution system and method utilizes a central pharmacy and database to track all prescriptions for a sensitive drug. Information is kept in the database regarding all physicians allowed to prescribe the sensitive drug, and all patients receiving the drug. Abuses are identified by monitoring data in the database for prescription patterns by physicians and prescriptions obtained by patients and/or caregivers. Further verification is made that the physician is eligible to prescribe the drug by consulting a separate database, and optionally whether any actions are taken against the physician. Multiple controls beyond those for normal drugs are imposed on the distribution depending on the sensitivity of the drug.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: A drug distribution system and method utilizes a central pharmacy and database to track all prescriptions for a sensitive drug. Information is kept in the database regarding all physicians allowed to prescribe the sensitive drug, and all patients receiving the drug. Abuses are identified by monitoring data in the database for prescription patterns by physicians and prescriptions obtained by patients and/or caregivers. Further verification is made that the physician is eligible to prescribe the drug by consulting a separate database, and optionally whether any actions are taken against the physician. Multiple controls beyond those for normal drugs are imposed on the distribution depending on the sensitivity of the drug.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: Systems and methods are disclosed hosting multiple visual assessments, evaluating user performance on the assessments, and providing recommendations to assess and improve user visual performance. One method includes hosting a plurality of visual assessments; presenting, via a web portal, a user interface for selecting one or more visual assessments of the hosted plurality of visual assessments; receiving, via a web portal, a request for a user to access a visual assessment, wherein the visual assessment is an assessment out of the hosted plurality of assessments; administering the visual assessment to the user; receiving user performance data associated with a user, in response to the administered visual assessment; comparing the user performance data with performance data associated with one or more other users; and generating a report of user visual performance based on the user performance data, wherein the report is accessible to the user via the web portal.

Abstract: An at-home medical diagnostic test kit container including a plurality of at-home medical diagnostic test kits is provided herein. In particular, the medical diagnostic test kit container may include a machine-readable code (e.g., QR code) configured to facilitate an augmented reality experience associated with the at-home medical diagnostic test kit container. In some embodiments, a testing and diagnostic platform may facilitate tracking of inventory within the at-home medical diagnostic test kit container and/or may facilitate coordination of prescription medication order fulfillment and delivery upon indication of a medical condition that could benefit from taking prescription medication.

Abstract: An at-home medical diagnostic test kit container including a plurality of at-home medical diagnostic test kits is provided herein. In particular, the medical diagnostic test kit container may include a machine-readable code (e.g., QR code) configured to facilitate an augmented reality experience associated with the at-home medical diagnostic test kit container. In some embodiments, a testing and diagnostic platform may facilitate tracking of inventory within the at-home medical diagnostic test kit container and/or may facilitate coordination of prescription medication order fulfillment and delivery upon indication of a medical condition that could benefit from taking prescription medication.

Abstract: A method, computer program product, and computing system for automating an intake process is executed on a computing device and includes prompting a patient to provide encounter information via a virtual assistant during a pre-visit portion of a patient encounter. Encounter information is obtained from the patient in response to the prompting by the virtual assistant.