Abstract: A medical device system includes a memory; and processing circuitry in communication with the memory. The processing circuitry is configured to receive parametric data for a plurality of parameters of a patient, determine, based on the parametric data, an atrial fibrillation (AF) burden of the patient over a period of time, wherein the AF burden of the patient over the period of time includes a pattern of increased AF burden; output, for display by a user device, a request to identify whether the patient engaged in each patient behavior of a set of patient behaviors during the period of time; and determine, based on receiving a response indicating that the patient engaged in one or more patient behaviors of the set of patient behaviors, a suggestion to change at least a subset of the one or more patient behaviors to attenuate the pattern of increased AF burden.

Abstract: A medical system can be configured to receive medication data for a patient, the medication data being indicative of compliance of the patient with a prescribed medication plan; determine a compliance metric for the patient with the prescribed medication plan based on the medication data, wherein the compliance metric is indicative of a degree of compliance of the patient with the patient with the prescribed medication plan; obtain, via one or more medical devices, values for one or more physiological parameters for the patient; and based on the compliance metric and the values for the one or more physiological parameters for the patient, determine a heart failure risk score for the patient.

Abstract: This disclosure is directed to devices, systems, and techniques for determining cardiac flow rate. An example medical device is configured to be at least substantially entirely inserted into a vasculature of a patient. The medical device includes an elongated housing and a first optical sensor configured to sense a first red blood cell count and generate a first signal indicative of the first red blood cell count. The medical device includes a second optical sensor configured to sense a second red blood cell count and generate a second signal indicative of the second red blood cell count, the second optical sensor being longitudinally displaced from the first optical sensor. The medical device also includes processing circuitry configured to determine a cardiac flow rate based on a first signal and the second signal.

Abstract: A medical system includes an implantable cardiac device configured to monitor one or more cardio-thoracic parameters of a patient and one or more external devices configured to receive, from the implantable cardiac device, cardio-thoracic data indicative of the one or more cardio-thoracic parameters over a period of time; determine a long term heart failure risk (HFR) score for the patient based on the cardio-thoracic data; based on a change in the long term HFR score for the patient, determine a modification to a therapy plan of a second implanted device in the patient; and cause the second implanted device to implement the modified therapy plan.

Abstract: This disclosure is directed to devices, systems, and techniques for determining when to deploy sensors. Processing circuitry of an example medical device system is configured to receive first sensor data. The processing circuitry is configured to determine, based on the first sensor data, a likelihood that a heart failure decompensation event of a patient is impending. The processing circuitry is configured to compare the likelihood to a first threshold. The processing circuitry is configured to, based on the likelihood satisfying the first threshold, at least one of a) generate a first instruction for output to a user to deploy one or more biochemical or bacterial sensors, or b) control an implantable medical device to automatically deploy one or more biochemical or bacterial sensors.

Abstract: A method for processing patient data includes prompting a patient to complete a survey based on one or more of data received from an implantable medical device, a first time from an enrollment in a study related to the implantable medical device, a second time since a last survey, a medical event, or a detection of the patient in a geofenced area. The method may further include receiving input from the patient in response to the survey, and sending the input from the patient to a database.

Abstract: A system comprises processing circuitry configured to receive parametric data for a plurality of parameters of a patient. The parametric data is generated by one or more sensing devices of the patient based on physiological signals of the patient sensed by the one or more sensing devices. The plurality of parameters comprise AF burden. The processing circuitry is configured to derive one or more features based on the parametric data for the plurality of parameters, wherein the one or more features comprise at least one AF burden pattern feature, apply the one or more features to a model, and determine a risk level of a health event for the patient based on the application of the one or more features to the model.