Abstract: Systems and methods are described herein for processing claims using rules engines based on specified conditions. A machine learning model may be trained using the outcomes of the claims processed using the rules engine. A trained machine learning system may be used in addition to or instead of the rules engine to process claims, estimate a liklihood of payment, and/or suggest modifications that will increase the likelihood of payment and/or the timeliness of payment.

Abstract: Systems and methods are described herein for processing claims using rules engines based on specified conditions. A machine learning model may be trained using the outcomes of the claims processed using the rules engine. A trained machine learning system may be used in addition to or instead of the rules engine to process claims, estimate a likelihood of payment, and/or suggest modifications that will increase the likelihood of payment and/or the timeliness of payment.

Abstract: Systems and methods are described herein to aggregate data from multiple insurance companies and generate a treatment plan report with expected patient co-pays that are adjusted, estimated, and provided as ranges of expected co-pays based on the quality of the source of the coverage information and/or based on historical co-pays for patients with similar insurance coverage and treatment plans.

Abstract: The present disclosure provides systems and methods for detecting attacks against authentication mechanisms that generate Transport Layer Security (TLS) tunnels using a server public key. Such attacks can include misconfigured wireless local area network (WLAN) clients that fail to authenticate the server public key prior to creating the TLS tunnels and exchanging credentials. In an exemplary embodiment, an intrusion detection system (IDS) or intrusion prevention system (IPS) is aware of the server public key and monitors for authentication handshakes to detect invalid keys.

Abstract: The present disclosure provides systems and methods for detecting attacks against authentication mechanisms that generate Transport Layer Security (TLS) tunnels using a server public key. Such attacks can include misconfigured wireless local area network (WLAN) clients that fail to authenticate the server public key prior to creating the TLS tunnels and exchanging credentials. In an exemplary embodiment, an intrusion detection system (IDS) or intrusion prevention system (IPS) is aware of the server public key and monitors for authentication handshakes to detect invalid keys.