Abstract: A facility accesses patient data in an EHR system. The facility includes a server configured to access the EHR system and store applications and a computing device configured to display EHR data, including patient data. The computing device additionally receives user input specifying patient inclusion criteria and an action and uses the user input to create an application while displaying the patient data. The created application can compare patient data displayed by the computing device to the patient inclusion criteria, determine if the patient data displayed by the computing device satisfies the patient inclusion criteria, and cause the computing device to take the action based on the determination of whether the patient data displayed by the computing device satisfies the patient inclusion criteria.

Abstract: A facility accesses patient data in an EHR system. The facility includes a server configured to access the EHR system and store applications and a computing device configured to display EHR data, including patient data. The computing device additionally receives user input specifying patient inclusion criteria and an action and uses the user input to create an application while displaying the patient data. The created application can compare patient data displayed by the computing device to the patient inclusion criteria, determine if the patient data displayed by the computing device satisfies the patient inclusion criteria, and cause the computing device to take the action based on the determination of whether the patient data displayed by the computing device satisfies the patient inclusion criteria.

Abstract: A system and method for guiding the selection of treatment regimens according to locality-specific and patient-specific criteria. The system and method may employ a guidance engine that determines past efficacies of multiple treatment regimens in prior patients presenting with the syndrome of interest in a given locality, then correlate those outcomes with the clinical and demographic characteristics of the prior patients and locality. The guidance engine determines the influence of multiple patient characteristics and locality trends on positive treatment outcomes, and uses such determinations to generate a report including success probabilities for various treatment regimens, given the current patient's particular characteristics and trends within the patient's current locality. The system and method may be implemented in a variety of embodiments, including via a networked system interfaced with a healthcare facility's electronic medical record system, or as a stand-alone device.