Abstract: Methods and systems for seamless adjustment of treatment are disclosed. A determination is made as to whether to intervene with a patient's treatment. Implanted device memory data is acquired over a pre-specified time period. Risk status is determined from the device memory data. Another external device memory data is acquired over a pre-specified time period. A determination is made as to whether to adjust treatment of the patient in response to the risk status, the data acquired from the implanted device memory and the external device memory data.

Abstract: A computing system receives an indication of user input indicating whether a clinician accepts use of a set of default values for variables in a management protocol (MP) template in an MP for a particular patient. The computing system generates a description of the MP for the particular patient that specifies the values of the variables in the MP for the particular patient. Additionally, the computing system provides the description of the MP for the particular patient to the particular patient. Subsequently, the computing system receives data indicating health outcomes of the particular patient. The computing system generates, based on the health outcomes of patients, comparison data comparing health outcomes of patients whose MPs specify a first set of values of the variables versus health outcomes of patients whose MPs specify a second, different set of values of the variables.

Abstract: Methods and systems for seamless adjustment of treatment are disclosed. A determination is made as to whether to intervene with a patient's treatment. Implanted device memory data is acquired over a pre-specified time period. Risk status is determined from the device memory data. Another external device memory data is acquired over a pre-specified time period. A determination is made as to whether to adjust treatment of the patient in response to the risk status, the data acquired from the implanted device memory and the external device memory data.