Medical Device Integration Blog

ANALYZE: Finding the Meaning of It All

Posted by Pete Giliberti on Feb 26, 2014 @ 09:00 AM

Capsule-Icon-ANALYZEAfter a dizzying day of HIMSS lectures and workshops, many of us need time to digest information and address the inevitable question—what does it all mean? What information will be useful to our facility and make our doctors more effective? How will what we’ve heard and seen here really impact the decisions we make on our jobs tomorrow and beyond?

Every day, physicians are similarly bombarded with enormous amounts of information—patient information, in particular—some of it directly relevant to care decisions, some not so much, and some of it too complex to truly absorb during a busy day on the hospital floor. Moreover, clinicians must also consider this data in light of best practice protocols, and perhaps evidence-based treatment guidelines.

Drawing on their years of training and experience, certainly physicians and nurses will continue to routinely analyze data on their own and draw conclusions. But one thing is certain—someday soon, and more than likely already, they will need help. Technology has wrought information overload, and technology is already addressing this with sophisticated algorithms and information from big data analytics that help clinicians wade though this sea of information to focus on what is of greatest value to their patients.

As an aggregator of device data, a true MDIS should also help clinicians sort through device information. This already happens to some extent when existing device integration solutions are configured, and decisions are made about whether or not to include certain device parameters in the patient record. In today’s solutions, data thresholds also are being set to trigger alarms that notify doctors when a measurement reaches a level deemed critical.

Taking this analysis to the next level, a Medical Device Infomation System (MDIS) will include built-in analytics to make the physician’s task easier. Capsule’s new SmartLinx system, for example, moves in that direction with SmartLinx ESP (Early. Surveillance. Predictive.) This technology performs a predictive clinical analysis of device data for signs of patient sepsis. When found, it automatically reports to caregivers, who can then act on this in the next phase of the MDIS process.

In the future, as an MDIS becomes even smarter, it may be able to look inwardly at its own data and use sophisticated analytic models to recommend treatment changes.


How smart do you think an MDIS can become during the next five years? What will this mean for your hospital?

Come back tomorrow for our final MDIS blog post
"ACT:Making the Big Picture Smaller . . . and Bigger Again"
and visit us at #HIMSS14 Booth # 2329