Abstract: A method for identifying and assessing risks for opioid prescriptions is implemented by an opioid analytics server. The method includes receiving a risk assessment profile for analyzing opioid risks for a patient, extracting a first set of health records from a first electronic health records system based on the risk assessment profile, and processing the first set of health records to determine a set of goals, a set of outcomes, and a set of risk factors. The method includes determining, based on the set of goals, the set of outcomes, and the set of risk factors, a plurality of recommended tasks. The method includes providing a user interface including a first region associated with the set of goals and outcomes, a second region associated with the set of risk factors, a third region associated with the plurality of tasks, and a fourth region containing a treatment tracking tool.

Abstract: Learning management systems and methods are provided with improvements allowing meta-tagging of learning objects with specific characteristics. An intelligent tutor application may employ the tags in search and tutorial scenarios. In some embodiments, an intelligent tutor application is programmed for selecting and providing learning objects for presentation to a participant through the participant client application, the intelligent tutor application including a software interface adapter for sending software interface function commands associated with the conformant learning object on behalf of the participant, the intelligent tutor application further including a search and selection software module, a learning style analysis software module, and a tutoring engine software module. In some embodiments, an intelligent tutor interacts with a SCORM-compliant LMS through a modified API adapater.

Abstract: A peer-to-peer wireless phone system with peer-to-peer units and network configuration algorithms by which a virtual circuit data path is established by minimizing the latency added at each hop starting with the external network gateway or the most loaded hop and choosing closest time slots for each next hop until a the virtual circuit is completed. Also, certain embodiments of the present invention include network configuration algorithms by which traffic around any external network gateway(s) is optimized to maximize throughput around the gateway by allocating certain of many available channels to a group of P2P units around the gateway, these units acting as an “infrastructure” through which other units route virtual circuits through the gateway. The network topology is also configured to let these units transmit at higher power levels and ranges than other P2P units in the network, and thereby help minimize the number of hops needed to reach the external network gateway.