Abstract: The present invention relates to a technical idea of monitoring a heart condition by analyzing biosignals measured using a sensor device for detecting a heart condition. In a method of monitoring a heart condition according to one embodiment of the present invention, electrocardiogram signals are measured from a user, feature information is extracted by performing machine learning of the time domain of the measured electrocardiogram signals, a plurality of cardiac abnormality type models are determined by performing machine learning of the extracted feature information, classification accuracy for the determined cardiac abnormality type models is calculated, and a cardiovascular disease of the user is determined using the determined cardiac abnormality type models and public cardiovascular disease data based on the calculated accuracy. That is, the present invention relates to a technique for assisting medical diagnosis.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adapting digital trial to increase protocol compliance and retention. In some implementations, a system accesses (i) study data indicating a type of data to be collected in a research study and (ii) attribute data indicating attributes of participants in a cohort for the research study. The system identifies a set of technology items that are each capable of collecting the type of data indicated by the study data. The system determines a predicted level of compliance for each of the technology items in the set. The system selects a technology item for participants in the cohort to use in the research study based on the predicted levels of compliance. The system updates records for the research study to specify the selected technology item.

Abstract: Systems and methods for providing recommendations to users while maintaining privacy and information security for those users. In particular, user demographic information and/or geographic/environmental information can be represented as hashes, or fingerprints, which in turn can define a dimension of a recommendation matrix having another dimension defined by attributes of products, services, routines, and so on that may be associated with recommendations to the user. The values of the recommendation matrix can correspond to normalized customer review data and/or other data.

Abstract: The present invention relates to a method for registering a virtual representation of a patient anatomy with a coordinate system of a physical patient anatomy, comprising displaying first overlap data in a head-mounted device, wherein the first overlap data describe from a first perspective onto the physical patient anatomy a first visual overlap between the virtual representation of the patient anatomy and the physical patient anatomy, identifying at least a first area in the first visual overlap and/or at least a first anatomical feature of the patient anatomy in the first visual overlap having at least a minimum degree of alignment between the virtual representation and the physical patient anatomy, displaying second overlap data in the head-mounted device, wherein the second overlap data describe from a second perspective onto the physical patient anatomy a second visual overlap between the virtual representation of the patient anatomy and the physical patient anatomy, and taking into account, during the

Abstract: Systems, devices, and methods including a processor having addressable memory, where the processor is configured to: collect, via a set of sensors, biological signals related to patient status; collect, via an environmental monitoring device, environmental data associated with an environment of the patient; store, locally via a secure encrypted local database, the collected biological signals and the collected environmental data; detect an abnormality in the collected biological signals; increase measurement frequency of the biological signals by the set of sensors based on the detected abnormality; detect an error in the collected biological signals; determine whether the detected error in the collected biological signals of the current reading is due to environmental factors; correct the determined error in the collected biological signals; and transmit the error corrected collected biological signals as encrypted data.

Abstract: A virtual health system is provided that creates a digital platform to connect patients to healthcare providers. Healthcare providers create profiles that describe their healthcare specialty and provide scheduling information that indicates their availability along with preferences such as appointment or meeting length, minimum break between appointment, and price. Patients create profiles that includes demographic information as well as medical records. The patients may use the system to search for available healthcare providers using a variety of criteria, and to schedule virtual health services such as video chats. The system facilitates payment for the healthcare services, and records any notes, assignments, or prescriptions generated by the healthcare provider during the services. In the event that a patient would like to engage a different healthcare provider associated with the system, the system only allows access to the patient records after receiving permission from the patient.

Abstract: A system for electronic patient care includes a gateway and a medical device. The gateway is configured to provide at least one of a routing functionality, a medical device software update, and a web service. The medical device is configured to operatively communicate with the gateway using the web service.

Abstract: A virtual health system is provided that creates a digital platform to connect patients to healthcare providers. Healthcare providers create profiles that describe their healthcare specialty and provide scheduling information that indicates their availability along with preferences such as appointment or meeting length, minimum break between appointment, and price. Patients create profiles that includes demographic information as well as medical records. The patients may use the system to search for available healthcare providers using a variety of criteria, and to schedule virtual health services such as video chats. The system facilitates payment for the healthcare services, and records any notes, assignments, or prescriptions generated by the healthcare provider during the services. In the event that a patient would like to engage a different healthcare provider associated with the system, the system only allows access to the patient records after receiving permission from the patient.

Abstract: Disclosed are Internet-of-Things (IoT) methods, systems, and devices for determining that health monitoring automated biometric data acquisition devices, the networks to which they are connected, and other connected electrical devices are correctly powered, using normal power levels, able to communicate their results over various communications networks, and can notify people and/or systems of a failure of any of these conditions either in real time or on a deferred time basis. Communications to users regarding such failures are controlled using authorization rules, which may be HIPAA-compliant.

Abstract: Embodiments of the disclosed technologies apply a logistic regression model to a set of population data for a set of genes. The set of population data includes a set of features for a variant located at a position within a gene. The set of features includes at least one population frequency meta-feature. The at least one population frequency meta-feature quantifies predictive value of allele frequency in the gene. Using the first set of population data, a variant classification prediction output by the logistic regression model is evaluated based on an expected variant classification. The logistic regression model is adjusted until at least one first performance criterion is satisfied to produce a trained logistic regression model. The trained logistic regression model is capable of outputting variant pathogenicity estimates that satisfy at least one second performance criterion.

Abstract: Technical solutions for classifying patients with respect to multiple cancer classes are provided. The classification can be done using cell-free whole genome sequencing information from subjects. A reference set of subjects is used to train classifiers to recognize genomic markers that distinguish such cancer classes. The classifier training includes dividing the reference genome into a set of non-overlapping bins, applying a dimensionality reduction method to obtain a feature set, and using the feature set to train classifiers. For subjects with unknown cancer class, the trained classifiers provide probabilities or likelihoods that the subject has a respective cancer class for each cancer in a set of cancer classes. The present disclosure thus describes methods to improve the screening and detection of cancer class from among several cancer classes. This serves to facilitate early and appropriate treatment for subjects afflicted with cancer.

Abstract: Generally, described herein are computer-implemented systems and methods for self-guided education in various aspects of health care. The described systems and methods effect behavior change through a functional relationship between the content of educational case packages comprising a plurality of displays, each of which has one or more completion conditions which must be completed by the user in accordance with a health care procedure to be practiced. The performance of the case by the user habituates behavior change through practice of a health care procedure.

Abstract: A method for providing treatment recommendations for a patient to a physician is disclosed. The method includes receiving health information associated with the patient, determining a first risk score for the patient based on the health information using a trained predictor model, determining a second risk score for the patient based on the health information and at least one artificially closed care gap included in the health information using the predictor model, determining a predicted risk reduction score based on the first risk score and the second risk score, determining a patient classification based on the predicted risk reduction score, and outputting a report based on at least one of the first risk score, the second risk score, or the predicted risk reduction score.

Abstract: A point of care system includes an instrument data manager (IDM) configured to communicate with a diagnostic engine and to (1) obtain identification (ID) information of a patient for which a test is to be performed; (2) obtain ID information of a diagnostic consumable to be used to collect a sample from the patient; (3) link the obtained patient ID information with the obtained diagnostic consumable ID information; and (4) restrict testing using the diagnostic engine by (a) prior to performing a test on a sample collected with a diagnostic consumable, determine ID information of the diagnostic consumable at the diagnostic engine; (b) determine whether the diagnostic consumable is linked with patient information within the IDM; and (c) if so, allow the diagnostic engine to perform a test on the sample collected with the diagnostic consumable. Numerous other embodiments are provided.

Abstract: Systems, methods, and collection devices are disclosed for rapid, local PCR testing. The system may include a PCR testing module, memory configured to store computer-executable instructions, and at least one computer processor configured to access the memory and execute the computer executable instructions to: (i) receive an order for a PCR diagnostic test; (ii) associate a sample collection device (SCD) received by the PCR testing module with the order for a PCR diagnostic test; (iii) instruct the PCR testing module to conduct the PCR diagnostic test on a biological specimen in the SCD received by the PCR testing module; and (iv) cause presentation of results of the PCR diagnostic test.

Abstract: There is provided an apparatus (100) for implementing a clinical protocol. The apparatus (100) comprises one or more processors (102) configured to detect that a clinical protocol is to be implemented and identify which of a plurality of devices are required to implement the clinical protocol and one or more actions to perform in connection with the identified ones of the devices to implement the clinical protocol. The one or more processors (102) are configured to control a user interface (104) to output one or more notifications on the manner in which a user is to interact with one or more of the identified ones of the devices and/or control one or more of the identified ones of the devices to cause the one or more identified actions to be performed in connection with the identified ones of the devices to implement the clinical protocol.

Abstract: Disclosed is an automated pill dispenser, which provide a plurality of pill dispensing modules. The plurality of pill dispensing modules may have a first pill dispensing module and a second first pill dispensing module, and the first pill dispensing module has a first dispensing belt that dispenses a first individual pill and the second pill dispensing module having a second dispensing belt dispenses a second individual pill. One or more sensors may be used to monitor operation of the automated pill dispenser for dispensing medication by the plurality of pill dispensing modules. Also disclosed is a cloud-based resource and information tracking services for medical patients and healthcare providers and a hardware device that solves significant healthcare problems.

Abstract: A method includes receiving first information associated with a patient, second information associated with a provider, and third information associated with an order, and determining, using a multi-layer neural network, a medical indication corresponding to the order responsive to receiving the first information, the second information, and the third information.

Abstract: In one embodiment, the present disclosure is directed to a method for providing a recommended wellness behavior. User data is received for different wellness components, the user data including data related to physical health, finances, and psychology. A user's wellness is assessed by, for each wellness component, determining a deviation between a comparison score and a relevant standard. A recommended behavior is determined based on the determined deviation. An indicator of the recommended behavior is then output to the user for the user to perform.

Abstract: A virtual health system is provided that creates a digital platform to connect patients to healthcare providers. Healthcare providers create profiles that describe their healthcare specialty and provide scheduling information that indicates their availability along with preferences such as appointment or meeting length, minimum break between appointment, and price. Patients create profiles that includes demographic information as well as medical records. The patients may use the system to search for available healthcare providers using a variety of criteria, and to schedule virtual health services such as video chats. The system facilitates payment for the healthcare services, and records any notes, assignments, or prescriptions generated by the healthcare provider during the services. In the event that a patient would like to engage a different healthcare provider associated with the system, the system only allows access to the patient records after receiving permission from the patient.