Abstract: A system and method for securely dispensing medication are described herein. The system includes a telemedicine center that communicates with medical assistant station and a medication distribution station located at a correctional facility and a physician center remote to the correctional facility. The medical assistant station transmits a request for medication to the telemedicine center. The telemedicine center verifies an identity of the medical assistant requesting the medication and transmits the request to the physician center. When the telemedicine center receives a confirmation to dispense medicine from the physician center, an identity of the physician transmitting the confirmation is verified. The telemedicine center then verifies an identity of an inmate to receive the medication, by way of the medication distribution station, and allows the medication distribution station to dispense the medication.

Abstract: Systems and methods for assessing a cardiac arrhythmia risk of a patient, such as a risk for developing atrial fibrillation, are disclosed. An exemplary medical-device system includes a risk stratifier circuit configured to, in an absence of prior and present atrial arrhythmia, determine a composite risk of the patient developing a future atrial arrhythmia using a trained machine-learning model and a plurality of features of physiological information sensed from the patient and an arrhythmia monitor circuit configured to adjust an arrhythmia monitoring parameter based at least in part on the composite risk and to detect an atrial arrhythmia event using the adjusted arrhythmia monitoring parameter.

Abstract: An apparatus for the generation of a medical report is disclosed. The apparatus includes at least processor and a memory communicatively connected to the processor. The memory instructs the processor to receive a user query. The memory instructs the processor to receive a user profile comprising a plurality of medical tests. The memory instructs the processor to generate testing data as a function of the plurality of medical tests using an encoder. The memory instructs the processor to generate textual data that is representative of the testing data using a querying transformer model (Q-former). The memory instructs the processor to generate a medical report as a function of the user query and the textual data using a report large language model (LLM).

Abstract: A computing system enables individuals and organizations to self-insure a benefit, e.g., a dental plan benefit. The system leverages a patient-centric data construct that evolves in a multi-dimensional manner as a patient continuously interacts with the system, its providers, participating organizations, etc. Using the patient-centric information repositories about the various participants (and their interactions), the system applies machine learning to the data to create data models that, in turn, provide valuable insights, or to otherwise enable more-efficient settlement processing. For example, a model may be used to determine an optimal patient-dentist match (by looking at utilization best provider outcomes), or a dentist over-provision of certain services (indicated by provider codes, thereby possibly indicative of fraud). Using patient-centric data modeling, the system determines if, when and how an organization can reduce expenses (e.g.

Abstract: Initiating preventative action by a HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. The video information is interpreted, a negative outcome is indicated, and a signal for initiating preventative action is transmitted.

Abstract: The present invention is directed to the field of Bluetooth Low Energy (“BLE”) enabled mobile device applications and, specifically, to a mobile device application that allows a customer or patient to view their actual wait time to see a doctor or other service provider. The present invention determines actual wait times based on the patients and providers within range of BLE beacons that are located in every room of an office space or other indoor area. An algorithm analyzes the real-time location data of in-office staff and patients to notify incoming patients of actual wait times.

Abstract: An Operating Room Management System (ORMS) for facilitating the efficient and optimal organization of hospital medical personnel and resources runs on local and remote servers and comprises a real-time updated daily schedule which is displayed on digital whiteboards and other displays throughout the hospital. The schedule display simplifies the crucial information concerning common hospital concerns and permits quick, accurate decision making on the part of the hospital medical personnel and administrators.

Abstract: A system for generating a lifestyle-based disease prevention plan, the system including a computing device configured to receive at least a user biomarker input, produce a user profile as a function of the at least a user biomarker input, and generate a lifestyle-based disease prevention plan as a function of the user profile including training a machine learning process with a lifestyle training data set where the lifestyle training data set further comprises lifestyle elements correlated to a plurality of outputs containing diseases prevented and producing the lifestyle-based disease prevention plan as a function of the user profile and machine learning process.

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: 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: 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: 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: 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.