Every second medical devices generate huge amounts of actionable, timely information about both patients and the devices themselves—data that can have significant clinical and operational impact if they can be captured, normalized, tailored and disseminated to the many diverse applications that need them. Yet these data that can make a difference in both patient care and the efficiency of a hospital’s medical device infrastructure are often lost or underutilized in the vast ocean of healthcare information.
The Power and Potential of a Medical Device Information System
Moving beyond mere connectivity, the advent of the medical device information system (MDIS) is rapidly navigating this sea of data. For forward-thinking hospitals around the world, an MDIS is capturing device information digitally, normalizing it, providing patient context and delivering it to downstream applications that use it in a wide range of innovative and powerful ways.
Today, among the key uses of medical device analytics are:
- Reducing nuisance device alarms
- Early recognition and intervention of patient decline
- Vital signs practice and documentation compliance
- Optimizing medical device utilization
- Mitigating nurse turnover rates
- Monitoring medical device information system health
Capsule has written a six-page paper for you to express the importance of analytics in modern healthcare, the value of medical device data to analytics and specific applications where it is already helping make a difference in the quality and efficiency of care. All in less time than it takes for a 11 minute coffee break!
Access the paper by clicking the button below and welcome to the age of healthcare analytics!
Here is an excerpt from the paper:
Mitigating Nurse Turnover Rates with Analytics
Currently, one third of hospitals report a vacancy rate of 10% or greater, as it takes an average of
82 days to fill a nursing vacancy. And when asked, workload is consistently cited as one of the reasons nurses leave their current employer.
Applying an analytics to medical device data can help clinical leaders better balance nursing workload to enhance job satisfaction and efficiency. By viewing acuities on each unit based on patient’s early warning scores, nurse managers can use the information, along with other factors, to assess and assign team members more effectively. The result is a more balanced workload for each nurse; ensuring that the highest acuity patients are not all assigned to the same clinical team.
In addition, the right analytics application can leverage alarm data to assist in setting alarm limits, creating a better nursing work environment. By viewing retrospective alarm information, limits can be set to significantly reduce the number of nuisance alarms. This allows nurses to focus on the alarms that truly require their intervention, helping to make them more effective and efficient on the job.