BACKGROUND

The benefits of clinical decision support have been widely demonstrated. Current clinical decision support (CDS) systems operate within the parameters of the information system of a single medical organization. For instance, a patient may have an electronic medical record (EMR) with his or her primary care physician, but this EMR may not be shared with any other medical organizations that are involved with treating the patient, such as an emergency room, an urgent care clinic, a specialist, etc. As such, patient information is typically not shared between facilities, which may impair clinicians in their treatment of patients, as clinicians are unable to see the full scope of the patient's current medical conditions. For example, a patient may have a primary care physician, but may have an urgent medical situation and may go to an urgent care clinic one day, and to the emergency room the next day arising from complications from a procedure performed by a specialist. This scenario is commonplace. Additionally, the case is rare when a patient is seen and treated by multiple clinicians who all use a common medical record system.

SUMMARY

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

In brief and at a high level, this disclosure describes, among other things, methods for surveillance and monitoring of a patient's risk for developing a particular disease or condition. Typically, patients are treated at multiple healthcare facilities, such as hospitals, doctors' offices, urgent care clinics, or the like. These facilities oftentimes are not interrelated and thus do not share medical record systems. Embodiments of the present invention allow for patient information to be received at a monitoring system that monitors, by way of arrays, a patient's risk of developing a particular disease or condition. One exemplary condition is sepsis, which occurs in the presence of an infection with a Systemic Inflammatory Response Syndrome (SIRS) response. This monitoring allows for earlier detection of diseases and conditions so that a patient can be treated earlier, before progression of the disease or condition. Additionally, methods provide clinicians with decision support, such as suggested laboratory tests and other treatment options, based on the patient information.

