With data security breaches on the rise, now it is more important than ever to understand healthcare data security issues and how to protect sensitive information.
The decisions that a hospital makes or fails to make regarding staffing can have dramatic effects on access to care, customer service, operating costs, and staff retention.
The best practice is to have tools that automatically calculate patient acuity and interface with nurse schedules and rosters to understand if a unit is over or understaffed at a given point in time.
Improvement work aligned with the interests of stakeholders and tied into enduring policy has a better chance of securing positive influence over time and in turn greater success.
Electronic Health Records (EHR) store a wealth of information about patients, outcomes, clinical pathways, timing, and so much more. How can this information be tapped into to optimize nurse staffing?
Why is measuring quality important? Peter Drucker once said, “If you can’t measure it, you can’t improve it”. Quality professionals across different industries have often used this philosophy to recognize current state, encourage continuous improvement and ultimately achieve high level performance for customers and their business. This has become of paramount importance in the healthcare … Read More
Organizations are trying to leverage the mountains, lakes, stacks, libraries, and warehouses of data to solve the vast array of clinical, operational, and financial needs they face every day. This comes with several challenges.
“So, what kind of work do you do?” Found on page one of the Barber, Cab Driver, and Nervous Airline Seatmate Chit-Chat Handbook, it’s a question that gets asked and answered often. I happen to be one of the lucky ones who enjoys his job, so I tend to answer with more enthusiasm than the Uber-driving barber … Read More
We previously defined predictive analytics as a branch of analytics providing insight into the future. We have a defined outcome, such as a birth or the onset of a hospital acquired illness such as sepsis, and predict the occurrence using statistical and machine learning techniques. However, this doesn’t allow for the study of why the outcome is expected …
“Preference cards are actually low-hanging fruit for any hospital that’s serious about reducing its costs and improving efficiency. All it takes is an initial effort to clean them up so they reflect OR reality, and the discipline to maintain the cards’ integrity and currency over the long term.” – Becker’s Hospital Review Article written by Steve Simco and David DuBose The … Read More