Abstract: Identifying risky driving situations in the context of a driver's real-time operating environment and providing effective interventions and countermeasures that mitigate the risky situation to reduce the likelihood of the driver having a vehicular accident. A driver monitoring and mentoring system includes mobile safety centers individually installed on driver-assigned smartphones or other mobile devices. The mobile safety centers collect real-time driving data and compute a risk of a driver in a specific situation being involved in an accident and provide mentoring to drivers in a driver risk situation above a risk threshold to reduce the likelihood of an accident. The mobile safety centers communicate with a master safety analytics center that collects data, collects and stores information relating to detected risk situations, creates risk algorithms, creates driving mentoring communications, and communicates the algorithms and communications to the mobile safety centers.

Abstract: A method is disclosed that allows secure access to medical data. A device application running on a wireless device, optionally including associated scanners, acquires a patient's biometric information (e.g., a finger-print at a resolution exceeding 250 ppi using the display as a proximity flash-camera). An encrypted representation of the biometric data is wirelessly transmitted to a secure data center. A server application at the remote data center decrypts the data and compares it to a database for positive identification purposes. Relevant pre-approved medical data for the identified patient is automatically retrieved from a secure database of patient information, encrypted and sent to the wireless device by the server application. The received data is decrypted by the device application and displayed by the wireless device for use by the medical practitioner. The patient may also maintain and update his/her medical record through this method and device.

Abstract: Identifying risky driving situations in the context of a driver's real-time operating environment and providing effective interventions and countermeasures that mitigate the risky situation to reduce the likelihood of the driver having a vehicular accident. A driver monitoring and mentoring system includes mobile safety centers individually installed on driver-assigned smartphones or other mobile devices. The mobile safety centers collect real-time driving data and compute a risk of a driver in a specific situation being involved in an accident and provide mentoring to drivers in a driver risk situation above a risk threshold to reduce the likelihood of an accident. The mobile safety centers communicate with a master safety analytics center that collects data, collects and stores information relating to detected risk situations, creates risk algorithms, creates driving mentoring communications, and communicates the algorithms and communications to the mobile safety centers.