Abstract: Systems and methods may include identifying, by a server computing system, data related to treatment needs of a plurality of patients associated with a plurality of healthcare providers, the data related to the treatment needs of the plurality of patients associated with cancelled health-related appointments because of a shared-health event; determining, by the server computing system, data related to a treatment specialty associated with each of the plurality of patients based on the data related to the treatment needs of each of the plurality of patients; determining, by the server computing system, data related to a treatment specialty associated with each of the plurality of healthcare providers; and matching, by the server computing system, at least one patient from the plurality of patients with at least one healthcare provider from the plurality of the healthcare providers based on data related to the treatment specialty associated with the patient being similar to data related to a treatment specialty

Abstract: The present invention relates to: a derivative in which glutamate-urea-Lysine (GUL) and isonitrile are linked by a linker; a radioisotope labeled compound comprising the derivative; and a pharmaceutical composition for treating and diagnosing prostate cancer, containing the derivative as an active ingredient. A derivative according to the present invention has high binding capacity for PSMA, which is expressed in prostate cancer, by acting as a multi-ligand through the binding of three or six derivatives to one atom of technetium or rhenium, has excellent stability in human serum when administered in vivo, and is excreted into the kidney rather than the hepatobiliary tract because of high water solubility so that a clear image of a prostate cancer tumor site can be obtained, and thus the present invention can be effectively usable as a pharmaceutical composition for treating or diagnosing prostate cancer.

Abstract: Systems and methods for communicating health-related information about students in an educational environment may include a database system implemented using a server computing system, the database system configurable to cause receiving, by the server computing system associated with a healthcare provider, data related to a health issue from a school associated with the healthcare provider, the data related to the health issue including data identifying a plurality of students exposed to the health issue and data identifying one or more symptoms experienced by the plurality of students; analyzing, by the server computing system, the data identifying the one or more symptoms experienced by the plurality of students to determine a cause of the health issue; and communicating, by the server computing system, data identifying at least one customized health advice to a computer system associated with the school based on the cause of the health issue, wherein the data identifying the at least one customized health

Abstract: Systems and methods for communicating health-related information about students in an educational environment may include a database system implemented using a server system, the database system configurable to cause receiving, by the server computing system associated with a healthcare provider, a request for health-related information about a student associated with a school, the request received from a computer system associated with the school; searching, by the server computing system, a database associated with the database system for data related to a permission granted by a parent of the student allowing the healthcare provider to release the requested health-related information to the school; and transmitting, by the server computing system, the requested health-related information about the student to the computer system associated with the school based on determining that the data related to the permission granted by the parent of the student is stored in the database, wherein the health-related in

Abstract: Systems and methods may include obtaining, from a database and by the server computing system, data identifying a first set of patient records stored in the database, the first set of patient records associated with patients having cancelled health-related appointments because of a shared-health event; performing, by the server computing system, pattern recognition to identify one or more patterns in the data identifying the first set of patient records; obtaining, from the database and by the server computing system, data identifying a second set of patient records stored in the database, the second set of patient records being different from the first set of patient records; generating, by the server computing system, health-related predictions based on the data identifying the second set of patient records and based on the one or more patterns; and communicating, by the server computing system, with computing systems of patients associated with the second set of patient records, the communicating including

Abstract: Systems and methods may include obtaining data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in a database, the cancelled health-related appointments related to a shared health event; identifying one or more treatments associated with each cancelled health related appointment; for each cancelled health-related appointment, categorizing the identified one or more treatments into any one of a plurality of risk categories ranging from a lowest risk to a highest risk; receiving data about a current reopening phase of the shared health event, the current reopening phase being one of a plurality of reopening phases ranging from a lowest risk reopening phase to a highest risk reopening phase; determining a score for each patient based on a risk category associated with a patient and the current reopening phase; and rescheduling the patients for return appointments based on a score determined for each of the patients.

Abstract: Systems and methods for performing health assessment may include a database system implemented using a server system, the database system configurable to cause: obtaining, from a database, data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in the database, the cancelled health-related appointments being associated with a shared health event; identifying one or more treatments associated with each cancelled health related appointment; for each cancelled health related appointment, categorizing the identified one or more treatments into any one of a plurality of risk categories ranging from a lowest risk to a highest risk; storing or updating one or more data objects in the database to identify the categorized one or more treatments in association with the patient records; assessing each patient record based on the risk category of the associated categorized one or more treatments and based on medical history data stored in the patient record; and com

Abstract: Systems and methods for an improved healthcare workflow may include obtaining, by the server computing system, data identifying a patient based on a social media handle related to the patient, the social media handle associated with a social media platform; obtaining, by the server computing system, data related to health history of the patient based on the data identifying the patient, the data related to the health history of the patient stored in a database associated with the database system; obtaining, by the server computing system, data related to social content shared by the patient with members of the social media platform based on the social media handle associated with the patient; and generating, by the server computing system, data related to a health diagnosis for the patient based on at least the data related to the social content shared by the patient with the members of the social media platform and the data related to the health history of the patient stored in the database.

Abstract: Systems and methods may include obtaining, from a database and by the server computing system, data identifying an at-risk patient associated with a healthcare network, the at-risk patient associated with a health condition known to lead to a serious health condition; obtaining, from the database and by the server computing system, data identifying health histories and data identifying appointment histories of a plurality of patients associated with the healthcare network and associated with the health condition based on the data identifying the at-risk patient; determining, by the server computing system, data related to a time range to perform a follow-up health evaluation of the at-risk patient based on at least the data identifying the health histories and the data identifying the appointment histories of the plurality of patients; and scheduling, by the server computing system, an appointment for the follow-up health evaluation of the at-risk patient based on the data related to the time range.

Abstract: Systems and methods for mitigating infectivity related to a shared-health event may include obtaining data related to electronic health records (EHRs) of a plurality of patients, the data related to the EHRs stored in a database associated with a database system; obtaining data related to a shared-health event including at least data associating the shared-health event to one or more underlying health condition; identifying from the data related to the EHRs of the plurality of patients, a set of EHRs having at least data consistent with the one or more underlying health condition; identifying a set of patients associated with the set of EHRs having at least data consistent with the one or more underlying health condition; and communicating data related to customized preventive care associated with the shared health event to a computer system associated with each of the patients in the set of the patients.

Abstract: Systems and methods may include obtaining, by a server computing system, data related to a first hotspot associated with a shared-health event, the data stored in a database system associated with the server computing system, the first hotspot associated with a first populated area, the data related to the first hotspot including at least demographic data of people testing positive for the shared-health event; performing, by the server computing system, pattern recognition to identify one or more patterns in the data related to the first hotspot; predicting, by the server computing system, a second hotspot associated with a second populated area based on the one or more patterns identified in the data related to the first hotspot, the second populated area being different from the first populated area; and performing, by the server computing system, operations to control an infectivity associated with the shared-health event in the second populated area.

Abstract: Systems and methods may include obtaining, by a server computing system, data related to a first hotspot associated with a shared-health event, the data stored in a database system associated with the server computing system, the first hotspot associated with a first populated area; determining, by the server computing system, a second hotspot associated with the shared-health event and based on the data related to the first hotspot, the second hotspot associated with a second populated area; determining, by the server computing system, data related to an estimate of resources required to provide treatment to an estimated number of people infected with the shared-health event in the second populated area; and determining, by the server computing system, data related to an estimate of resources to be acquired to provide treatment to the estimated number of people infected with the shared-health event based on the estimate of the resources required.

Abstract: Systems and methods may include obtaining data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in a database, the cancelled health-related appointments associated with a shared health event; associating each of the plurality of patient records with a risk category from a plurality of risk categories ranging from a lowest risk to a highest risk; communicating with a client computing device associated with a patient having a cancelled health-related appointment to schedule a return appointment based at least on a risk category, the communicating including receiving current health condition information of the patient; based on the current health condition information of the patient showing symptoms consistent with symptoms associated with the shared health event, identifying the patient as a potential infected patient; and performing contact tracing based at least on people that the patient has contact with while experiencing the symptoms.

Abstract: Systems and methods may include obtaining data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in a database, the cancelled health-related appointments associated with a shared health event. Each of the plurality of patient records may be associated with a risk category from a plurality of risk categories. A risk category may be determined based on at least a health-related need associated with a cancelled health-related appointment. One or more healthcare facilities in a healthcare network may be identified to treat a patient associated with a cancelled health-related appointment based at least on a health-related need of the patient, a risk category associated with the patient and an operating margin of the healthcare network.

Abstract: Systems and methods may include determining, by the server computing system associated with a first healthcare network, patient identification data associated with a patient being treated by a healthcare provider of the first healthcare network, the patient identification data including at least facial recognition data associated with the patient; requesting, by the server computing associated with the first healthcare network, for health records of the patient from a plurality of healthcare networks, the requesting generated based on the patient identification data; combining, by the server computing system associated with the first healthcare network, the health records of the patient received from the plurality of healthcare networks to generate a combined health record of the patient; and transmitting, by the server computing system associated with the first healthcare network, the combined health record of the patient to a computer system associated with the healthcare provider.

Abstract: Systems and methods may include identifying, by a server computing system, data related to treatment needs of a plurality of patients associated with a plurality of healthcare providers, the data related to the treatment needs of the plurality of patients associated with cancelled health-related appointments because of a shared-health event; determining, by the server computing system, data related to a treatment specialty associated with each of the plurality of patients based on the data related to the treatment needs of each of the plurality of patients; determining, by the server computing system, data related to a treatment specialty associated with each of the plurality of healthcare providers; and matching, by the server computing system, at least one patient from the plurality of patients with at least one healthcare provider from the plurality of the healthcare providers based on data related to the treatment specialty associated with the patient being similar to data related to a treatment specialty

Abstract: Systems and methods may include obtaining, by a server computing system, data related to a health history of a patient associated with a healthcare network, the data related to the health history of the patient stored in a database associated with the server computing system; determining, by the server computing system, a potential illness associated with the patient based at least on the data related to the current health status of the patient and data related to health histories of a plurality of other patients associated with the healthcare network and stored in the database; determining, by the server computing system, data related to a treatment cost to treat the potential illness by the healthcare network; and generating, by the server computing system, data related to a payment plan for the patient based on at least the data related to the treatment cost.

Abstract: The present invention relates to a computer implemented method for Big Data analysis platform system (100) capable of analyzing big data repository specific for travel and tourism; the said system comprising Data Collection Engine (101); Data Formatting and Mapping Engine (102); Visual Presentation Engine (103); and Sentiment Processing Engine (104) that detects the data in real-time and analyzes the mode of the data which is the tweets, comments and reviews on online social media network i.e. whether the mode of the data is either happy i.e. like, sad i.e. unlike or neutral i.e. no reaction displayed; for providing accurate interpretation of the big data analysis, calculates the sentiment and stores in the database for future queries and analysis detects the data in real-time and determine.

Abstract: A system for integrating a plurality of supplier system, each of which employs a least on application programming interface, by which a plurality of suppliers provides at least on product, said system comprising: a module for designing at least on template for the product; and module for establishing connection with the interface of the supplier system; a module for generating at least on action for a call of the interface, wherein each action includes a request envelope and a response envelope; a module for designing at least on flow of a plurality of actions; a module for mapping said request and response envelopes; and a module for generating a plurality of codes or classes based on the mapping, wherein the codes or classes are capable of including the supplier in the result of at least on search for the product. Also provided are an apparatus and a method for integrating the plurality of supplier systems.

Abstract: Novel tools and techniques are described for providing remote control of consumer electronics devices, and, more particularly, to tools and techniques for providing virtual remote control of consumer electronics devices that do not have dedicated remote controllers.