Today, rapidly expanding technologies have led to unprecedented advances in almost every field. But once in a while, almost everyone wants to turn off their PDA, tune out the pings, beeps and vibrations and just go offline. In the Information Age, we all have a need to relax and gain perspective.
In technology-laden hospitals, clinicians are bombarded with enormous amounts of information, particularly patient information. Some of it is vital to immediate care decisions, some will be useful in the future, and frankly, some of it’s irrelevant. Often all this information can be too complex and varied to truly absorb and sort through during a busy day spent with multiple patients. Adding to the challenge, clinicians must also consider this data in light of best practice protocols and, perhaps, evidence-based treatment guidelines.
As an aggregator of device data, Capsule believes a key role of a medical device information system (MDIS) should be to help clinicians quickly and easily sort through information to find the data that will have the greatest impact on patient care. When device integration solutions are configured, decisions are made about whether or not to include certain device parameters in the patient record, an early sorting of information. Currently, data thresholds are being set to trigger alarms for physicians and nurses when a measurement reaches a level that calls for patient attention.
Capsule’s SmartLinx MDIS applies technology to going beyond these thresholds to address data overload with sophisticated algorithms and information from “big data” analytics, to help clinicians wade though this sea of information to focus on using data to the greatest value for their patients. One example is SmartLinx’s innovative “ESP” (Early. Smart. Predictive.) feature. This technology will perform a forward-looking clinical analysis of all patient data for signs of sepsis. When discovered, it will automatically reports to clinicians, who can then act on the information.
In the future, the SmartLinx MDIS will become even smarter, and likely will look inwardly at its own data and use sophisticated analytic models to suggest treatment changes. Of course, capitalizing on years of training and experience, visual cues, and interaction with the patient, clinicians will continue to routinely analyze data independently and draw conclusions. One thing is certain—in the future, we all will need a little help managing the full extent of the information out there. It’s reassuring to know that we may not need to tune-out completely to clear our heads—with a little technology that helps us tune-in to what’s most important.
When it comes to technology, can there be too much of a good thing?
How would you feel about smart technology helping you make decisions you have traditionally made yourself?
Stay tuned for tomorrow's #AONE14 blog post: