Abstract: An information processing apparatus is configured to acquire case information containing first information that is information on a feature of a case of a patient and that is obtained as a result of a diagnosis of the patient and determine, based on the first information that is the information contained in the case information, whether the case information is used as training data for machine training.

Abstract: A computer system and the computer-implemented method of generating and providing skincare product recommendations to a subject. The method comprises determining, by a computing device, an exposure amount of a pollutant impacting a subject's skin; determining, by the computing device, a damage assessment of the subject's skin based on the type of pollutant and amount of pollutant exposure; and providing, by the computing device, at least one skincare product recommendation to the subject, wherein the recommendation is directed to repair or prevent damage to the skin provided in the damage assessment.

Abstract: The present disclosure provides a medical information processing apparatus that comprises: a selection unit that selects, from among candidate data including surgery data acquired during surgery, target data corresponding to selection conditions that include a condition relating to a patient attribute, a condition relating to a surgical-procedure type, and a condition relating to a disease type; an extraction unit that detects a feature from the selected target data and extracts, from the target data, feature data corresponding to the detected feature; and an editing processing unit that edits the extracted feature data, wherein the extraction unit extracts at least a medical image as the feature data.

Abstract: There is provided a method and a system for determining recommended multiple daily injections (MDI) therapy values for administering to a given subject. Consumed meals, insulin basal doses administered and insulin bolus doses administered to the given subject are received. An initial meal ratio parameter and an initial basal insulin dose used by the given subject are received. A predicted glucose concentration parameter is determined based on the consumed meals, the insulin basal dose, the insulin bolus doses, and the initial meal ratio parameter. An actual glucose concentration parameter is received. A set of optimal MDI therapy parameters are estimated using the predicted glucose concentration parameter, and the actual glucose concentration parameter.

Abstract: Provided is a system and method for determining an appropriate dosage of a product. The method includes, receiving from a User a User Request for a Dosage, the User Request including at least a User Reason and a User Location; accessing a Database of Products, each Product having at least one Constituent, at least one Established Reason, a Dosage for each Established Reason, and Provider Location; querying the Database of Products with the User Request to determine at least a first subset of Products having the at least one Established Reason correlating to the User Reason; and providing the User with the first subset of Products arranged by proximity of the Provider Location to the User Location, the first subset of Products further including the Dosage for each Product in the first subset of Products. An associated system is also provided.

Abstract: The present disclosure relates to systems and methods for controlling physiological glucose concentrations in a patient.

Abstract: The development of artificial pancreas (AP) technology for deployment in low-energy, embedded devices is contingent upon selecting an efficient control algorithm for regulating glucose in people with type 1 diabetes mellitus (T1DM). The energy consumption of the AP can be lowered by reducing updates of the control model: the number of times the decisionmaking algorithm is invoked to compute an appropriate insulin dose.

Abstract: A system, including a memory storing instructions and a processor configured to execute the instructions is provided. The instructions executed by the processor cause the system to retrieve a diagnostic information for a patient, to retrieve a physician information for a physician in charge of the patient, and to determine an anticipated medication prescription for the patient based on the diagnostic information, the physician information, and a medication prescribing pattern stored in the memory. A method for using the system and a non-transitory, computer readable medium including the instructions are also provided.

Abstract: A system for communication of data is provided. The system includes a medical device. A data consuming device is positioned at a first network layer. An edge communication device is positioned at a second network layer. The edge communication device is in communication with the medical device to receive data from the medical device. The edge communication device has a profile. The profile defines a data format for the data and a communication path for transmitting the data between the network layers. A gateway device is configured to route the data from the edge communication device to the data consuming device via the communication path. The edge communication device is also configured to modify the data format to correspond to the data consuming device and to format the data according to the data format.

Abstract: A medical information query system is provided. The medical information query system includes: a processor and a memory, wherein the memory is configured to store computer instructions: and the processor is configured to load the computer instructions and execute: receiving clinical data and acquiring query rules matched with the clinical data; and inquiring medical information corresponding to the query rules in a graphic database.

Abstract: Methods and systems for evaluating a proposed treatment plan for radiation therapy, for evaluating one or more delineated regions of interest for radiation therapy, and/or for generating a proposed treatment plan for radiation therapy. Machine learning based on historical data may be used.

Abstract: Systems and methods are provided for implementing a tool for evaluating an effect on an event, such as a medication or treatment, on a subject's condition, using a propensity model that identifies matched treatment and control cohorts within a base population of subjects. A propensity value threshold, which can be obtained based on user input, can be used to adjust the selection of subjects for treatment and control cohorts. The tool allows analyzing features of the subjects in the treatment and control groups, and further allows for evaluation and comparison of survival objectives of subjects in the treatment and control groups.

Abstract: The present solution covers identifying a recommended treatment for a patient based on records of similar patients, wherein the similarities are non-obvious and non-linear. The solution generates a similarity map that minimizes the variance of elements records among a curated group of patients, and this similarity map is used to find the patients who are most similar to an untreated patient.

Abstract: High-accuracy locating systems and methods are used for determining successful caregiver rounding, monitoring whether housekeepers have properly cleaned patient beds, or determining whether patients have ambulated sufficient distances during recovery. Patient beds having at least two locating tags are used for establishing patient care zones around the patient beds. Locating anchors and equipment tags are moved around a patient room to determine optimum locating anchor placement within the patient room based on signal quality values. A locating tag on a patient bed switches roles to operate as a locating anchor in response to the patient bed becoming stationary. A locating tag has a digital compass which is used to determine a field of good ranging relative to a front of a caregiver wearing the locating tag.

Abstract: A web-based interface enables medical personnel to remotely monitor medical devices. A monitoring system records operational data and alarms from the medical devices in a file. However, since network connections between the medical devices and the monitoring system are intermittent, the file does not contain a contiguous stream of data for each medical device. The file pauses recording during gaps in network connectivity. The system displays current data, as well as a list of alarms. If medical personnel wish to view more detail about an earlier time or one of the alarms, the system calculates where in the file the medical device data was recorded. This calculation accounts for the discontiguous nature of the data. The system uses times the network connection is made and broken to calculate an index into the file that corresponds to the time of the user-selected alarm.

Abstract: Systems, devices and methods are disclosed for a prescription-regulated software application and an associated medical device. In some aspects, a smart medicine-injection device (e.g., smart insulin pen) is configured to be in communication with a patient's companion device (e.g., smartphone) having a software application (prescription app) that serves the patient as a complimentary medical device to the smart medicine-injection device, in which only certain features and functionalities of the prescription app are fully operable based on device pairing with the smart medicine-injection device to unlock medical device capabilities only available to the patient through prescription.

Abstract: In a risk level assessment method for a plurality of clinical conditions as follows, a set of laboratory test results (32) are stored with time stamps for a patient, including at least one hematology test result and at least one arterial blood gas (ABG) test result. For each clinical condition, a risk level is determined for the clinical condition based on a clinical condition-specific sub-set of the stored set of laboratory test results. This determination is made conditional on the stored clinical condition-specific sub-set of laboratory test results being sufficient to determine the risk level. A time stamp is assigned to each determined risk level based on the time stamps for the laboratory test results of the clinical condition-specific sub-set of laboratory test results. A display device (44, 46) displays the determined risk level and the assigned time stamp for each clinical condition whose determined risk level satisfies a display criterion.

Abstract: The disclosed embodiments include a computer-implemented method for communications centric care. A caregiver interface serves a patient interface in accordance with a disease management program to collaboratively lead the patient to recover from a disease. The method can include obtaining content items relating to a patient and labeling each content item as either a secure content item or an unsecure content item, and then comparing the labels with identifiers of the patient, the caregiver, and/or a schedule key events of the disease management program. The content items are selectively bifurcated for the patient and/or caregiver interfaces. As such, the interfaces can manage communications in accordance with the disease management program.

Abstract: A computer program product for gathering respondent input for determining a ranking of states each characterized by a set of selected levels each associated to an attribute. The interface mechanism provides for inputting selected attribute levels of a respondent state and for ranking of comparable alternative states determined in response to the inputted respondent state, in comparison with that respondent state. The alternative states are each displayed as the set of attributes with the associated set of alternative levels simultaneously and with an input field for inputting a preference indication of the shown alternative state compared with the respondent state. This allows the respondent input to be entered with very few input actions and little switching between screens. Only the selected attribute levels of the respondent state and the rankings and identifications of the determined alternative states need to be transmitted to the central computer.

Abstract: A computer-implemented method for dynamically reallocating resources to users of a coaching service. The method can include initially allocating resources to users of the coaching service, receiving indications of activities of the users relative to their allocated resources, and comparing the activities relative to a reference value to produce an outcome including a likelihood that a target user will benefit from a target resource. Upon identifying the target user, a dynamic reallocation process deallocates the target resource from another user and reallocates the target resource to the target user.