Digital technology has fundamentally transformed healthcare. Use cases abound of improved patient outcomes, lowered costs and the elimination of critical gaps in the care continuum. Advancements in tools that enable better collaboration, management and support have become essential for frontline clinical staff to deliver superior care.
Continuous clinical surveillance solutions that analyze real-time patient data can identify clinically relevant trends, sustained conditions, reoccurrences and combinatorial indications which tells a more complete story, especially when evaluated with EHR-stored data. In short, the analytics with the most data inputs are often the best analytics.
Interval monitoring is like watching a movie where every few minutes the film suddenly cuts to a new scene that picks up the story at a later point in time. An eagle-eyed viewer may be able to fill in the blanks, but critical plot points may have been lost due to those abrupt edits.
Every year more than 1.5 million Americans are diagnosed with severe sepsis, according to the Centers for Disease Control and Prevention. Of those, 250,000 don’t survive.
The Agency for Healthcare Research and Quality cites sepsis as the most costly illness treated in hospitals—more than $24 billion annually.
As a clinician…
Have you ever looked back and asked yourself, why didn’t I notice that before? Or, how did I miss that? Whatever ‘that’ may be – When you place these same principled questions into your own clinical experience with an adverse patient event, it often raises more frustrating questions, than answers. Until now.
We’ve all heard horror stories about generally healthy patients who undergo low-risk elective surgery and end up in the ICU or even worse – die from complications. How does this happen and why? One very concerning cause is opioid-induced respiratory depression (OIRD).
Reducing false alarms has been the subject of countless meetings, lectures and peer-reviewed studies. Many approaches have been identified for reducing alarms in high-acuity settings. For example, Görges [2] showed that a 14-second delay before alarm presentation would reduce non-actionable alarms by 50%. A 19-second delay would reduce this further to 67%.
The increasing complex state of health care and compounding nursing vacancies are playing a role in un-achieved outcomes and putting patients at risk. This is the reality that most hospitals face today. More critically-ill patients are seeking care and are being cared for by fewer clinicians.
The concepts behind smart alarms and use of real-time data to make better decisions are not new. Many people have had their experiences in the field of medicine and medical informatics but not all people and organizations have acted upon these experiences. Bernoulli is one organization that has.
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