Use medical device data to help improve clinical outcomes

Each day, medical devices capture millions of data points that can contribute to key initiatives such as population health management and evidence-based clinical decision support. Yet healthcare organizations often find themselves challenged to incorporate this data in a meaningful way. Or on a timely basis.

Bernoulli One™ has been instrumental in implementing advanced clinical algorithms and analytics that take advantage of medical device data integration and real-time data processing to help improve clinical outcomes. The findings are currently being used to predict developing conditions in order to alert clinicians to possible issues/risks before they become acute. The Insights generated by Bernoulli One™ are also being used to ensure clinicians follow evidence-based best practices, helping healthcare organizations standardize care in order to deliver more predictable outcomes at more predictable costs.

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Better decisions at the bedside

cdsClinical Decision Support. The ability to compare and visualize data for a patient is invaluable in the decision-making process. Bernoulli One™ provides a processing layer that allows two or more patient data elements to be continuously compared for combination, consecutive or frequency occurrences. Logical arguments, typically in the form of IF-THEN statements, X/Y correlations or the comparison of individual patient data across a population of patients for a given condition, serves to guide clinical decision-making. Software visualization tools in the form of dashboards, rendered data sets and alerts bring the best clinical research, evidence-based practice guidelines and protocol adherence to the clinician at the bedside.

Get ahead of trends

data-trends

Data-trends. Bernoulli One™ Analytics enables clinical decision support by applying data processing to discrete and continuous real-time data. Not just from one medical device but a compilation across all the devices in use with that patient. The application of background analytics on clinical data to generate timely, actionable alerts proactively before a developing situations become acute, is just one example of how smart data is transforming healthcare. Visualization of changes in clinical status or the deviation of clinical trajectory against normal or expected patterns of recovery based on real-time data, generated by the patient’s medical devices, are distributed to the point of care using tablets, smartphones or other mobile devices. This capability enables organizations to operationalize best practice models of care across the healthcare enterprise. Predictive analytics for alarms, sepsis, vital sign entropy, neonatal-apnea and weaning from mechanical ventilator support are setting new standards for care.

Support advanced algorithms

Advanced analytics. The expanding use of medical algorithms holds the promise of improving decisions and standardizing care to drive consistently better outcomes while mitigating risk. Bernoulli One™ is designed to support a growing portfolio of custom-developed or third party, peer-reviewed medical algorithms. The solution enables the use of medical algorithms, such as the implementation of logic rules to guide an indicated treatment, as well as complex calculations i.e. real-time waveform analysis to predict cardiopulmonary failure. Bernoulli One’s open data architecture, robust processing layer and flexible host environment provides an ideal platform for clinical research and business partnerships.