Therap Services, LLC

David Turock

James Kelly

Richard Allen Robbins

Justin Mark Brockie

Md Asif Ali

Md Rayed Bin Wahed

Warren Stanton Gifford

Jeremy Ian Schulman Robbins

Heather Anne Turock

M Tanjid Hasan Tonmoy

Md Shadman Sakib Chowdhury

Rimi Reza

Pranjal Kumar Nandi

Meheraj Hossain

Khandker Mohammed Nurul Afsar

Rafid Ameer Mahmud

The present invention relates to computer security methods and systems, employing artificial intelligence and machine learning, for recording information in an electronic format relating to the individual under care, from a sensor, identifying the individual under care from the information, and redacting information associated with the individual under care before transmitting to the user.

Artificial intelligence machine learning method and system for identifying and redacting personally identifiable information in a monitored environment using real-time sensor data

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.

Monitoring remote smart devices with protected health information with integrated hardware and software, and systems and methods therefor

A system and method for recording healthcare information of an individual under care without deleting data, includes a device for capturing person centered data and transmitting an identification signal, a memory for storing device rules, a buffer, a database; and a processor. The processor receives the signal and data, and retrieves the rules from the memory. Based on the rules, the processor determines whether the data is to be stored in the database or the buffer, and based on the data content, it determines the device location, the data recordation time, whether the individual is identified, and the individual's activity, and based on the rules and the location, time, individual identification, and activity, it determines whether the data is to be stored in the database or eliminated from the buffer. The person-centered data may include goal, outcome, medication error data, non-person centered public data, or protected health information (PHI).

Method and system for capturing person centered healthcare data, using a buffer to temporarily store the data for analysis, and storing the data without deletion, including goal, outcome, and medication error data

A system and method for recording video healthcare information of an individual under care without deleting data, includes a device for capturing data and configured to transmit a signal identifying the device, a memory for storing rules, a buffer, a database; and a processor. The processor receives the device identification signal and said data, and retrieves the rules from the memory. Based on the rules, the processor determines, whether the data is to be stored in the database or the buffer. Based on the content of the data, the processor determines the device location, the data recordation time and date, whether the individual under care is identified, and the individual's activity, and based on the rules and the location, time and date, individual identification, and activity, whether the data is proof of service delivery data to be stored in the database or eliminated from the buffer.

Method and system for capturing healthcare data, using a buffer to temporarily store the data for analysis, and storing proof of service delivery data without deletion, including time, date, and location of service

A system and method for recording video healthcare information of an individual under care based on properties of the information without deleting data, includes a device for capturing data relating to an individual, and configured to transmit a signal identifying the device, a memory for storing rules relating to the device, a buffer, a database; and a processor. The processor receives the device identification signal and said data, and retrieves the rules from the memory. Based on the rules, the processor determines, whether the data is to be stored in the database; or stored in the buffer. Based on the content of the data, the processor determines the location of the device, the time that the data was recorded, whether the individual recorded is identified as the individual under care, and the activity performed by the individual. Based on the rules, the location of the device, the recording time, the identification of the individual under care; and the activity, whether the data is to be stored in the database; or eliminated from the buffer.

Method and system for capturing healthcare data, using a buffer to temporarily store the data for analysis, and storing healthcare data without deletion

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Lauderdale by the Sea, FL, United States of America

David Turock