Abstract: A virtual assistant/chatbot to improve clinical workflow for home renal replacement therapies is disclosed herein. A virtual assistant/chatbot includes a patient-facing user interface configured to enable a patient to engage in a virtual chat session by typing, speaking, or otherwise providing information regarding a patient request or issue related to their renal replacement therapy. The virtual assistant/chatbot also includes a backend server-based system configured to provide logic to respond to a patient's requests. The logic defines a sequence of questions and answers for resolving patient queries. The sequence of assistant/chatbot questions and patient answers may be configured in a node arrangement such that certain patient answers/requests lead to additional questions for additional information from a patient.

Abstract: A processor-implemented method comprises obtaining current operational context information associated with a sensing device; obtaining an expected calibration factor parameter model associated with a patient; calculating an expected calibration factor value based on the expected calibration factor parameter model and the current operational context information; obtaining one or more electrical signals from the sensing device, the one or more electrical signals having a signal characteristic indicative of a physiological condition; converting the one or more electrical signals into a calibrated measurement value for the physiological condition using the expected calibration factor value; and outputting the calibrated measurement value for the physiological condition.

Abstract: There is provided a system for tracking events associated with a treatment by personalised medicine, the system comprising a plurality of nodes hosting a blockchain. The plurality of nodes include a plurality of sequence manager nodes, each associated with a respective sequence manager contract on the blockchain, and a hub node associated with a hub contract on the blockchain. A first sequence manager contract of the sequence manager contracts is arranged to receive first event data indicating a first event associated with the treatment, and store the first event data on the blockchain in association with a first event sequence. The hub contract is arranged to store an association between the first event sequence and one or more further event sequences associated with the treatment, on the blockchain.

Abstract: Methods and systems for classifying and editing insurance claims records are described. In one embodiment, a method, which can be performed by a processor, includes determining that a first prescription drug prescribed to a first patient should be filled by a pharmacy, determining a first guidepost date and a second guidepost date related to the first prescription, determining a third guidepost date associated with a second prescription, comparing the third guidepost date to the first and second guidepost dates to determine whether the third guidepost date occurs after the first guidepost date and before the second guidepost date, and filling and dispensing the first prescription drug as a full prescription supply and the second prescription drug as a full prescription supply on the same dispense date when the third guidepost date occurs after the first guidepost date and before the second guidepost date.

Abstract: Disclosed embodiments include systems, methods, and media for receiving and transmitting digital data over a plurality of channels. Disclosed embodiments may include receiving data from a plurality of sources through one or more networks. Disclosed embodiments may also include assigning a geographic area to the data from the plurality of sources, the geographic area corresponding to one or more locations associated with the data. Additionally, disclosed embodiments may include determining health effects for a predetermined location based on the data and its associated geographic locations. Further, disclosed embodiments may include generating, by querying a predetermined response database, instructions that address the determined health affects for the predetermined location, the instructions including an action and an associated device. And, disclosed embodiments may include transmitting, to the associated device, the action associated with the instructions.

Abstract: An apparatus and method for employing data from the person and from the environment where the person is situated facilitate the detection and prediction of severity of high altitude-induced Sleep Disordered Breathing (SDB, and specifically Central Sleep Apnea (CSA)). Longitudinal tracking of local barometric pressure and severity of SDB symptoms (objective or subjective or both) allow for prediction of occurrence of SDB (per altitude). Some of all of the data can be obtained from one or more wearable devices that may be worn by the person. Additionally, personalized mapping for dosing of medication (e.g. acetazolamide, low-flow oxygen therapy) to treat high altitude-induced SDB are provided, with recommended dosing provided to the person per altitude.

Abstract: Systems and methods provide for an automated system for determining whether claims related to an insured item should proceed to an arbitrating body. A virtual assistant (also referred to herein as an “arbitration assessment assistant”) installed in a computing device (e.g., computer, laptop, tablet computer, mobile phone, etc.) may be responsible for managing and assisting an insurance representative (e.g., an insurance adjuster, subrogation representative, etc.) in determining liability and fault relating to a claim, conducting a subrogation process, and ultimately determining whether the claim should be submitted for arbitration. In one or more aspects discussed, herein the process may be fully automated.

Abstract: One embodiment provides a method including transmitting a pick-up request to transport a patient within a healthcare facility. The method includes receiving an acceptance indication for the pick-up request. The method includes generating a patient identification request requesting a scan of an identification tag of an individual. The method includes receiving image data and determining whether the image data includes an image of the identification tag. The method includes verifying an identity of the individual. The method includes receiving at least one environment attribute from an environment of the patient. The method includes transmitting a notification indicating successful completion. Other aspects are described and claimed.

Abstract: Data characterizing an individual is received. Thereafter, one or more variables are extracted from the data so that, using a predictive model populated with the extracted variables, a likelihood of the individual adhering to a treatment regimen can be determined. The predictive model is trained on historical treatment regimen adherence data empirically derived from a plurality of subjects. Subsequently, data characterizing the determined likelihood of adherence can be promoted.

Abstract: The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub includes configurable medical ports and serial ports for communicating with other medical devices in the patient's proximity. Moreover, the hub communicates with a portable patient monitor. The monitor, when docked with the hub provides display graphics different from when undocked, the display graphics including anatomical information. The hub assembles the often vast amount of electronic medical data, associates it with the monitored patient, and in some embodiments, communicates the data to the patient's medical records.

Abstract: By extracting clinical data of any format from respective different sources, a data repository normalized to a generic format is created. A medical domain specific language may be used to interact with the data repository for identifying cohorts and gaps in care for the respective cohorts. Any rules for finding gaps in care are converted into the medical domain specific language for determining gaps. This standardization in both the data repository and rule application may allow for a true cost and time to value solution accessible to many different medical practices.

Abstract: A wearable computing device for monitoring and facilitating prescription adherence by a patient is provided. The wearable computing device is in communication with an inventory management server. The wearable computing device includes a processor and a memory. The processor is configured to receive a set of prescription plan data including at least a prescription identifier and a prescription rate associated with the prescription identifier. The processor is further configured to determine an inventory level associated with the prescription identifier. The processor is also configured to determine, based at least on the prescription rate, a time value representing a period of time in which a patient is prescribed to take a pharmaceutical associated with the prescription identifier. The processor is additionally configured to present a prescription inventory indicator representing the inventory level. The processor is also configured to present a timer indicator representing the time value.

Abstract: Methods of visualizing performance of a diagnostic laboratory system are provided. The methods include displaying on a display, an image representing a layout of a plurality of laboratory analyzers included within the diagnostic laboratory system, and overlaying the image with a dynamically-changeable color overlay that indicates a performance for the plurality of laboratory analyzers over a period of time via using changeable colors. Systems including color-changeable overlays are provided as are other aspects.

Abstract: Described are a system, method, and computer program product for tracking endoscopes in a forced-air drying cabinet including a compressor, a support arrangement, and an inner area accessible by a door. The method includes receiving a signal from a signal emitting member attached to or associated with an endoscope and determining an identifier of the endoscope. The method includes determining a drying protocol for the endoscope based on the identifier and identifying the support arrangement, associated with an airflow output, to support the endoscope. The method includes determining a connection status indicative of whether the endoscope has been connected to the airflow output. The method includes, in response to the connection status indicating the endoscope has been connected to the airflow output, initiating a drying process according to the drying protocol for the endoscope by causing the compressor to create an airflow from the airflow output through the endoscope.

Abstract: The invention relates to the technical field of supporting patients in the repeated taking of drugs within the context of a therapeutic treatment. The invention relates to a method, to a system, and to a computer program product that monitor the taking of drugs by a patient and inform the patient or a doctor or another person if a drug portion should not be taken in order to thus optimize the effectiveness of the treatment or reduce risks.

Abstract: Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from an electronic display screen and/or a speaker of a computing device with one or more open ended questions. A response module is configured to receive a conversational verbal response of a user from a microphone of a computing device in response to one or more open ended questions. A detection module is configured to provide a machine learning assessment for a user of a medical condition based on a machine learning analysis of a received conversational verbal response of the user.

Abstract: Healthcare appointment information system and method enabling a patient to manage multiple accounts with third party sources through a single account. A user account is created for storing individual user healthcare data such as user preferences (e.g., Monday morning appointments or willingness to be placed on waiting lists), user names and passwords (for accessing third-party sources), contact information (phone, email, text), insurance plans, gender, age, medications, existing appointments and other healthcare information enabling the system to book an appointment on behalf of the patient on one or more availability sources. In addition to booking on the patient's behalf, the account information also enables patient communications with the various sources to be conducted through the system. For example, notifications from other availability sources can be transmitted through the system, which may reformat the message and communicate the reformatted message to the patient.

Abstract: Example methods, apparatus, and articles of manufacture to estimate costs of prescriptions are disclosed herein. An example computer-implemented method, executed by a processor, to estimate a cost of a prescription for a medication includes receiving, with a processor, a prescription for a medication for a patient, receiving, with the processor from an entity, a request for an estimated cost for the prescription, processing, with a machine learning model, the prescription to determine the estimated cost of the medication for the patient, and providing, with the processor, the estimated cost to the entity.

Abstract: In some examples, a computing device may receive diagnostic data of a medical device implanted in a patient. The computing device may determine a use case associated with analyzing the diagnostic data out of a plurality of use cases for analyzing the diagnostic data. The computing device may determine, based at least in part on the use case, one or more device characteristics data to be compared against the diagnostic data. The computing device may analyze, based at least in part on comparing the diagnostic data with the one or more device characteristics data, the diagnostic data to determine an operating status of the medical device.

Abstract: A method includes receiving information associated with a stimulus, the information associated with the stimulus comprising first information associated with a medical claim for services provided to a patient and second information associated with a provider that provided the services to the patient; and predicting, using an artificial intelligence engine, when an event will occur in response to the stimulus.