Abstract: A diagnosis and treatment support system according to an embodiment has a storage apparatus and processing circuitry. The storage apparatus stores a trained model that infers information related to a state of a patient from an examination value for a predetermined examination item. Based on correlations between examination values for plural examination items, the processing circuitry calculates a conversion function that enables statistical derivation of a possible examination value for another examination item from an examination value or values for one or plural examination items, and generates, based on an inference obtained by inputting an examination value for an examination item included in diagnosis and treatment information on a target patient and the examination value for the predetermined examination item derived by the conversion function from the examination value into the trained model, diagnosis and treatment support information for the target patient.

Abstract: To objectively grasp a stress state of a user and to prevent a mental disorder of the user, biogas information is acquired via a network that represents a concentration of dimethyl adipate of a user acquired by a sensor that detects dimethyl adipate discharged from a skin surface of the user. From a memory, information representing an upper limit of a normal range of the concentration of dimethyl adipate per unit period of time is obtained. A stress time period is determined during which a concentration of the dimethyl adipate of the user is more than the upper limit of the normal range, based on the acquired biological gas information; and time period information indicating the determined stress time period is outputted to an information terminal of the user, to display the stress time period indicated by the time period information on a display of the information terminal.

Abstract: A method is for inserting a further data block into a first ledger, the first ledger including data blocks. In an embodiment, the method includes receiving a further medical dataset via an interface; determining the further data block via a calculation unit. The further data block includes the further medical dataset and a further link information. The further link information includes a hash of at least one of the data blocks of the first ledger. Finally, in an embodiment the method includes inserting the further data block into the first ledger via the calculation unit.

Abstract: A physiological patient monitor can include a front end conditioner that can receive analog sensor signal from a sensor responsive to a person's physiology. The patient monitor can further include an analog-to-digital converter that can convert analog sensor signal to a digital sensor information. The patient monitor can determine one or more patient specific physiological parameters. The patient monitor can further determine a physiological condition of a patient based on processing multiple physiological parameters. The patient monitor can generate a user interface that can included a visual representation of the patient's physiological condition.

Abstract: A computer system provides patient monitoring and treatment using electronic textiles. Biometric data pertaining to a user is received that is obtained over time from an electronic textile device associated with a body of the user. The biometric data is analyzed to identify positions and movements of the body. The identified positions and movements are analyzed to generate a knowledge corpus for the user that maps one or more of: positions, movements, and portions of the body to a health condition of the user. A treatment plan is generated, based on the knowledge corpus, that indicates a relatedness between the health condition of the user and the one or more positions, movements, and portions of the body. Embodiments of the present invention further include a method and program product for providing patient monitoring and treatment in substantially the same manner described above.

Abstract: A method controls a modification of an adjustable device. A system establishes a circle of trust for a plurality of devices, where at least one of the plurality of devices is an adjustment control device for adjusting an adjustable device. Operations of the adjustment control device are controlled via a blockchain, where the blockchain must approve the adjustment control device before an adjustment of the adjustable device is performed by the adjustment control device. The system receives an approval from the blockchain for the adjustment control device to adjust the adjustable device, and the adjustment control device adjusts the adjustable device in response to receiving the approval from the blockchain.

Abstract: A system and method for initiating manufacturing of an edible combination includes a computing device, the computing device configured to identify at least a biochemical profile as a function of a first biological extraction, generate at least a new profile as a function of a second biological extraction, produce at least a self-based nutritional program, wherein producing further comprises determining at least a corporeal variation as a function of the biochemical profile and the new profile using at least an analysis process, identifying a nutritional deficiency as a function of the corporeal variation, and producing the self-based nutritional program as a function of the nutritional deficiency, and initiate at least manufacturing of an edible combination as a function of the at least self-based nutritional program.

Abstract: A cognitive function evaluation device includes: an obtainment unit that obtains use information indicating a state of use of a toilet by a subject; a calculation unit that calculates a total number of times of use of a toilet by the subject, based on the use information obtained by the obtainment unit; an evaluation unit that evaluates a cognitive function of the subject, based on the total number of times of use calculated by the calculation unit; and an output unit that outputs a result of evaluation performed by the evaluation unit.

Abstract: A wearable computing device for identifying gestures indicating patient prescription adherence is provided. The wearable computing device includes a processor, a memory, and a motion sensor. The processor is configured to receive a set of prescription plan data defining a prescription for a pharmaceutical associated with a user of the wearable computing device. The processor is also configured to receive a gesture pattern of movement of the wearable computing device. The gesture pattern indicates that a patient is adhering to the prescription. The processor is further configured to detect, with the motion sensor, a first motion pattern associated with the wearable computing device. The processor is also configured to analyze the first motion pattern to determine if the gesture pattern has been performed. Upon determining that the gesture pattern has been performed, the processor is configured to update a prescription usage record.

Abstract: A clinician station supporting private and secure telemedicine session between an operator and a patient on a remote patient station terminal. The clinician stations comprising a base, an interactive device stand, and a display terminal. The interactive device stand includes an electronic device, a device casing, and an adjustable arm. The display terminal includes a display device, a display casing, and an adjustable arm. The electronic device and the electronic display device are electronically communicable over a network with a cloud based system that is configured to host a medical session between a patient in the patient station terminal and the operator using the clinician station.

Abstract: Methods and systems for clinical report generation. One system includes an electronic processor configured to receive a query image and determine a similarity metric for a plurality of medical images, where the similarity metric represents a similarity between the query image and each of the plurality of medical images. The electronic processor is also configured to determine a predetermined number of medical images from the plurality of medical images based on the similarity metric for each of the plurality of medical images. The electronic processor is also configured to rank a plurality of reports, where each of the plurality of reports correspond to one of the predetermined number of medical images. The electronic processor is also configured to generate a clinical report including information extracted from at least one of the plurality of reports based on the ranking of the plurality of reports.

Abstract: A method and system is disclosed for backing up and maintaining electronic medical records for periods of temporary loss of connectivity between a healthcare facility and an eMAR/eTAR provider storing and maintaining medication administration records and treatment administration records for a healthcare facility.

Abstract: The method includes receiving a request for relevant subject health information associated with a subject for a clinical trial; matching a subject identifier associated with the subject to a patient identifier; transmitting a health data query comprising the patient identifier to at least one of an electronic health record (EHR) system or a data transfer application programming interface to obtain EHR data associated with the subject; receiving the EHR data associated with the patient identifier; parsing the EHR data into relevant EHR data and nonrelevant EHR data; applying an EDC mapping function to the relevant EHR data; and/or producing EDC clinical data in a final standardized data set usable in an EDC system in response to the applying the EDC mapping function to the relevant EHR data.

Abstract: Systems and methods are provided for eye health and vision examinations. A customer diagnostic center is configured to generate customer examination data pertaining to an examination of a customer's eye. The customer diagnostic center provides a user interface for communicating with a customer and ophthalmic equipment for administering tests to the customer. A diagnostic center server is configured to receive the customer examination data from the customer diagnostic center over a network and allow the customer examination data to be accessed by an eye-care practitioner. A practitioner device associated with the eye-care practitioner is configured to receive the customer examination data from the diagnostic center server and display at least a portion of the customer examination data to the eye-care practitioner. Customer evaluation data is generated pertaining to the eye-care practitioner's evaluation of the customer examination data. An eye health report is provided to the customer via the network.

Abstract: An accession number correction system is operable to determine that an accession number of a DICOM image does not link to any corresponding one of a plurality of medical reports. Medical report criteria is generated based on the DICOM image, and a set of medical reports are identified based on the medical report criteria. A computer vision model is trained from a training set of DICOM images, and inference data is generated for the DICOM image by performing at least one inference function utilizing the computer vision model. A selected one of the set of medical reports that corresponds to the DICOM image is determined based on comparing the inference data for the DICOM image to text included in at least one of the set of medical reports. Updated report header data for the selected medical report is generated, and storage of the updated report header data is facilitated.

Abstract: The instant system and method will be a scalable and flexible software platform to agnostically capture wearable, implantable, or external device data and create a digital biomarker for various disease conditions, care and analysis. The system and method also provides an informatics tool for automated data aggregation, integration, and machine learning algorithms to uniformly compare/contrast/couple data streams as a function of patient and context over time. The focus is on user engagement and usability, accessibility and reporting to the clinical care team, and usability by researchers interested in analyzing data and outcomes.

Abstract: Computer-implemented systems and methods automatically track the dynamic composition of a patient-care team by combining and harvesting information from at least two electronic audit trails: (1) a trail recording access to electronic medical records (EMR), e.g., read-access to patient data, electronic prescriptions and physician orders, etc., and (2) a trail recording electronic communications (email, text messages, etc.) regarding and referencing the patient.

Abstract: A method for using a health information exchange system which stores patient record data regarding a multiplicity of patients, to serve a first plurality of EMRs each interacting with an EMR community including a set of at least one EMR, the method comprising: for each individual EMR within the first plurality of EMRs, performing a computerized context interception process using a processor to intercept context from the individual EMR and to identify there within an event whereby a health provider using the individual EMR calls up an individual patient's record from said individual EMR; and responsive to identification of the event, using a computerized output device for providing patient record data, pertaining to the individual patient, to the health provider.

Abstract: A method, computer program product, and a system where a processor(s) obtains data related to physical activities performed by an individual from a sensor(s) proximate to the individual. The processor(s) cognitively analyzes the data to identify baseline behavioral patterns of the individual, when the individual is engaged in each of the physical activities. The processor(s) obtains data indicating consumption of a substance by the individual at a first time. The processor(s) determines impacts of the consumption on the baseline behavioral patterns of the individual and generates a data structure (a predictive model) that includes expected deviations from the baseline behavioral patterns of the individual, when the individual has consumed the substance.

Abstract: A method for generating a treatment plan in response to medical test results is provided. The method comprises requesting point-of-care (POC) services from a mobile POC unit, receiving at a server confirmation of delivery of POC services to a patient, receiving at the server one or more test results as a result of operation of a medical testing device used in the POC services, wherein the one or more test results includes a determination of the efficacy and dosage level of a medication, generating at the server an updated digital patient record reflecting the one or more test results, and transmitting by the server to a medical entity a treatment plan based on the efficacy and dosage level determined for the medication, wherein the treatment plan is a dosage regimen for the medication.