Abstract: Embodiments herein relate to ear-wearable devices and systems with features to track orthopedic issues and orthopedic procedure recovery. In an embodiment, an ear-wearable device is included having a control circuit, a microphone, and a sensor package. The ear-wearable device can be configured to receive an input regarding an occurrence of an orthopedic procedure, evaluate signals from the sensor package and/or the microphone, and determine a rehabilitative status of a device wearer with respect to the orthopedic procedure. Other embodiments are also included herein.

Abstract: Embodiments herein relate to ear-wearable devices configured to detect patterns indicative of an occurrence, prodrome or sequelae of an anoxic or hypoxic neurological injury. In an embodiment, an ear-wearable device is included. The ear-wearable device can be configured to monitor signals from a microphone and/or a motion sensor to detect a pattern or patterns indicative of an occurrence of an anoxic or hypoxic neurological injury. In some embodiments, a method of monitoring an ear-wearable device wearer for an occurrence of an anoxic or hypoxic neurological injury is included. The method can include gathering signals from one or more of a microphone, a motion sensor, or another sensor of an ear-wearable device and monitoring the signals to detect a pattern or patterns indicative of an occurrence of an anoxic or hypoxic neurological injury. Other embodiments are also included herein.

Abstract: Embodiments herein relate to ear-wearable devices and systems that can detect a risk of infection in a device wearer. In a first aspect, an ear-wearable infection sensor device is included having a control circuit, a microphone, a sensor package, and an electroacoustic transducer, wherein the electroacoustic transducer is in electrical communication with the control circuit. The ear-wearable infection sensor device can be configured to analyze data from the sensor package to determine physiological parameters of a device wearer and evaluate the physiological parameters to detect the risk of an infection. Other embodiments are also included herein.

Abstract: A method for using claims data to identify high-risk members of a healthcare plan is disclosed. In one embodiment, the present invention includes searching the plurality of claims of members selected by a filtering criteria to identify the presence of an intervention flag, to identify factors influencing care intervention, and identifying a medical episode driving the member's cost. In one embodiment, the intervention flag the medical episode are displayed in association with an identification of the member. In another embodiment, the member selection criteria includes selection based on the member's predicted future health care utilization.

Abstract: A method for using claims data to identify high-risk members of a healthcare plan is disclosed. In one embodiment, the present invention includes searching the plurality of claims of members selected by a filtering criteria to identify the presence of an intervention flag, to identify factors influencing care intervention, and identifying a medical episode driving the member's cost. In one embodiment, the intervention flag the medical episode are displayed in association with an identification of the member. In another embodiment, the member selection criteria includes selection based on the member's predicted future health care utilization.

Abstract: Techniques for modeling savings associated with health care services. Savings and/or a return on investment is modeled using efficacy data, measured results, economic modeling methodologies, and published data.