Abstract: In some examples, a computer-implemented method for determining a state of a dependent user is provided. A flag is generated if a measured first parameter for a dependent user is within a range of values of a respective defined first parameter and a measured second parameter for the dependent user is within a range of values of a respective defined second parameter, and the measured first parameter and the measured second parameter occur within a temporal window.

Abstract: A system for an artificial intelligence support network for informed advisor guidance includes a diagnostic engine operating on a computing device and configured to receive a biological extraction related to a user, said biological extraction comprising a self-assessment of the user, and generate a diagnostic output as a function of the self-assessment of the user The system includes an advisor module. The advisor module is configured to select an informed advisor as a function of the diagnostic output, generate an advisory output as a function of the diagnostic output, said advisory output identifying the current condition of the user, and transmit the advisory output to a client device associated with the selected informed advisor.

Abstract: A system for an artificial intelligence alimentary professional support network for vibrant constitutional guidance includes a computing device. The system includes a diagnostic engine designed and configured to receive a biological extraction from a user and generate a diagnostic output based on the biological extraction. The system includes an advisor module designed and configured to receive a request for an advisory input, generate an advisory output using the request for an advisory input and the diagnostic output, and transmit the advisory output. The system includes an alimentary input module designed and configured to receive the advisory output, select an informed advisor alimentary professional client device as a function of the request for an advisory input, and transmit the at least an advisory output to the informed advisor alimentary professional client device.

Abstract: A system for an artificial intelligence fitness professional support network for vibrant constitutional guidance includes a diagnostic engine operating on at least a computing device and configured to receive training data and at least a biological extraction from a user and generate a diagnostic output. The system includes an advisory module configured to receive a request for an advisory input and generate at least an advisory output. The system includes a fitness module configured to select at least an informed advisor client device and transmit the at least an advisory output to at least an informed advisor client device.

Abstract: A system for an artificial intelligence alimentary professional support network for vibrant constitutional guidance includes a computing device. The system includes a diagnostic engine designed and configured to receive a biological extraction from a user and generate a diagnostic output based on the biological extraction. The system includes an advisor module designed and configured to receive a request for an advisory input, generate an advisory output using the request for an advisory input and the diagnostic output, and transmit the advisory output. The system includes an alimentary input module designed and configured to receive the advisory output, select an informed advisor alimentary professional client device as a function of the request for an advisory input, and transmit the at least an advisory output to the informed advisor alimentary professional client device.

Abstract: Disclosed is an intelligent recommendation system for identifying and/or providing personalized one or more independent applications and/or healthcare related media content (e.g., multimedia content and applications involved in healthcare or the treatment of various health conditions of a user) to a plurality of user devices and/or client devices.

Abstract: Embodiments described herein provide various examples of a surgical video analysis system for segmenting surgical videos of a given surgical procedure into shorter video segments and labeling/tagging these video segments with multiple categories of machine learning descriptors. In one aspect, a process for processing surgical videos recorded during performed surgeries of a surgical procedure includes the steps of: receiving a diverse set of surgical videos associated with the surgical procedure; receiving a set of predefined phases for the surgical procedure and a set of machine learning descriptors identified for each predefined phase in the set of predefined phases; for each received surgical video, segmenting the surgical video into a set of video segments based on the set of predefined phases and for each segment of the surgical video of a given predefined phase, annotating the video segment with a corresponding set of machine learning descriptors for the given predefined phase.

Abstract: An improved adherence monitoring system increases the efficiency for obtaining patient adherence information. The improved adherence monitoring system reduces network traffic with regards to the communication of patient adherence information. The improved adherence monitoring system automates an adherence notification pathway. The improved adherence monitoring system can increase patient adherence by increasing the efficiency of medication therapy. The improved adherence monitoring system may also increase the efficiency by which patient adherence information is disbursed.

Abstract: A computerized system and method for planning a medical treatment for an individual under specific medical condition comprises a data input utility configured for receiving input data, and a data processor. The input data includes first input data comprising medical data of a specific individual, and second input data comprising data indicative of at least one endpoint of treatment. The data processor is configured for utilizing the medical data of the specific individual and the data indicative of the at least one endpoint and processing data indicative of disease progression models, each disease progression model corresponding to a treatment plan comprising one or more predetermined treatment protocols for treating the specific medical condition. The data processor generates output data indicative of a treatment effect on the individual with respect to each of the treatment plans and at least one endpoint to evaluate the treatment plans.

Abstract: The present invention relates to a web-based platform to track medical clinical assignments and to link embedded evaluation instruments to procedure type, for the optimization and improvement of medical clinical education and performance for healthcare professions, and in particular for graduate residents, such as surgical residents. This model is the basis for the platform for physician scoring and profiling to determine physician educational and performance competency with a selected medical procedure. The invention provides methods and systems for improving or optimizing performance tracking of a medical professional.

Abstract: An automatic external defibrillator (AED) is described which is leased for an at-risk patient and designed for use in a single cardiac emergency. If the AED is in standby for a year without being deployed, the AED is removed from service and replaced with another AED. The AED requires a rescuer only to deploy the electrodes on the torso of the victim; the AED turns itself on, performs rhythm analysis and delivers a shock if needed automatically. The AED thus requires no user controls. Preferably the AED requires no on-site maintenance, as the AED communicates its readiness for use to a remote monitoring site which responds to any problems detected by self-testing. In addition to its electro-resuscitation function, the AED can be used on the chest of the victim to administer CPR compressions.

Abstract: A distributed system can include a server outside of a clinical environment and a connectivity adapter and a plurality of infusion pumps within the clinical environment. The connectivity adapter can receive from the server a location of an update, such as a drug library update or an operational software update, to be delivered to the infusion pumps. The location can be received over a first messaging communication channel of a network, and the update data can be received over a second, data communication channel of the network. The update data can be stored at the connectivity adapter such that it can be sent to the infusion pumps.

Abstract: A system for an artificial intelligence support network for informed advisor guidance includes a diagnostic engine operating on a computing device and configured to receive a biological extraction related to a user, said biological extraction comprising a self-assessment of the user, and generate a diagnostic output as a function of the self-assessment of the user The system includes an advisor module. The advisor module is configured to select an informed advisor as a function of the diagnostic output, generate an advisory output as a function of the diagnostic output, said advisory output identifying the current condition of the user, and transmit the advisory output to a client device associated with the selected informed advisor.

Abstract: Techniques for electronic medical record (EMR) integration are described. A middleware application may receive a command from a third-party application via an electronic network. The command may conform to a unified data format specified by a unified data model. The command may include a request to retrieve data from or write data to an EMR system. The middleware application may convert, using a mapping registrar, the command into a data format compatible with the EMR system. The middleware application may transmit, via another electronic network, the converted command to the EMR system. The middleware application may receive a response from the EMR system. The middleware application may convert, using a mapping registrar, the response into a result that may conform to the unified data format. The middleware application may transmit the converted result to the third-party application.

Abstract: Using a centralized system, it is possible to allow multiple disparate health care providers to gain a complete view of data regarding a patient's health and health care. Data accessible through such a central system can also be made available for researchers after being de-identified. Data in such a central system can not only include data culled from traditional physical and electronic medical records, but can also include data from distributed diagnostic devices, such as fitness trackers and consumer diagnostic equipment. Such a central system could potentially be accessed through applications made available to patients and health care providers and, in implementations where they are present, such applications could also be used for other purposes, such as performing interactive health evaluations and making recommendations of actions to take to maintain or restore a user's health.

Abstract: A system and method of detecting medical fraud using blockchains including receiving a prescription comprising first prescription data from a prescription entry device associated with an prescribing entity, generating a validation code for the prescription based on the first prescription data, adding the validation code to the first prescription data, appending the first prescription data including the validation code to a blockchain, and receiving a query associated with the prescription from a prescription verification device associated with a prescription dispensing entity. The query includes second prescription data. The method further includes comparing the first prescription data to the second prescription data, for example, using pixel comparison, determining based on the comparison that the prescription has been modified, and transmitting to the prescription verification device an indication that the prescription has been modified.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for touchpoint management. One of the methods includes receiving compliance information about a member. The method includes determining based at least in part on the compliance information that the member is in compliance with the health plan. The method includes adding the member to a list of compliant members. The method also includes providing the list of compliant members to at least one third-party.

Abstract: Systems, methods and tools for improving healthcare communication between physicians and patients by utilizing audio recordings systems capable of collecting voice data of patient conversations with healthcare providers. The communication system converts the recorded voice data into text using voice to text conversion software, analyzes the voice data using a natural language processor to parse for key words and phrases relating to the patient's health and concerns. Voice data may be additionally analyzed by cognitive analysis systems and machine learning algorithms designed to identify the sentiment that the patient is portraying while discussing the patient's concerns about health-related experiences or symptoms and cross-referenced with social media and other external websites or applications, confirming a patient's sentiment or providing additional key words and phrases unraised by the patient when communicating with the physician.

Abstract: Systems, methods and tools for improving healthcare communication between physicians and patients by utilizing audio recordings systems capable of collecting voice data of patient conversations with healthcare providers. The communication system converts the recorded voice data into text using voice to text conversion software, analyzes the voice data using a natural language processor to parse for key words and phrases relating to the patient's health and concerns. Voice data may be additionally analyzed by cognitive analysis systems and machine learning algorithms designed to identify the sentiment that the patient is portraying while discussing the patient's concerns about health-related experiences or symptoms and cross-referenced with social media and other external websites or applications, confirming a patient's sentiment or providing additional key words and phrases unraised by the patient when communicating with the physician.

Abstract: A system of validating self-administration of prescription medication by a patient wherein the prescription medication is administered over a series of timed dosages. A machine-readable optical code label such as a QR Code is affixed to an interior surface of a prescription medication container containing the prescribed medication such as the interior of the bottle cap. The container must be open to electronically read the optical code label. The label contains data associated with the prescription medication and is read by a software application installed on a smartphone. The software receives the label-embedded data and a timestamp to validate the patient is self-administering the prescription medication consistent with the series of timed dosages. An alert notification is automatically generated to a healthcare administrator responsive to a deviation in the series of timed dosages.