Converting Routine Into Optimized Healthcare Procedures

The first order of change is to shift the performance standard in the right direction: toward each patient’s best interests. And to do that—to learn what best serves a particular patient—the person performing a mundane procedure must literally shift brain regions.

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Human Performance Limitations in Medicine: A Cognitive Focus

Most of the time, the last person in a chain of errors is assigned the blame for the final outcome of a procedure gone wrong. In the case of medicine, this is usually the physician, surgeon, anesthesiologist, or other caretaker who assumes primary responsibility for a patient’s safety.

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How Data Analytics Will Improve Patient Care

In this Q&A with Christopher Rafter, chief operating officer of Tampa-based Inzata Analytics, he speaks about the future of data analytics in healthcare and how they can improve the effectiveness of patient care.

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Value-Based Metrics Penalize Top-Performing Hospitals

Researchers at Beth Israel Deaconess Medical Center in Boston found that hospitals awarded by the American Heart Association and American College of Cardiology for their high-quality care for acute myocardial infarction and heart failure were more likely to be financially penalized under value-based programs than other hospitals.

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Close the Loop on Test Results

Serious problems can occur when results are delayed. Patients can undergo the wrong operation, be prescribed the wrong medication, or be discharged when they actually require urgent care. A delay in test results can mean the difference between a treatable problem evolving into an inoperable one.

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Quality Measures and Improvement in Addiction Treatment

Historically, alcohol or drug use has been used as the primary measure of outcome in clinical trials, but how it has been measured has varied. Alcohol and drug use have been measured in varying ways: for example, as a percentage reduction in use over varying periods of time, number of days of abstinence over varying periods of time, or percentage of days abstinent over varying periods of time.

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