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Month: July 2014

Physician Burnout: It’s Time to Take Care of Our Own

flying cadeuciiDespite highly skilled physicians and advanced technology, the U.S. has not yet figured out how to provide effective affordable health care to everyone. Meanwhile, the health care system is increasingly fractured and stressed—and so are our doctors. Physician burnout impacts nearly half of all seasoned physicians in practice and up to 75% of resident physicians in training1. Over water cooler conversations, as well as in my work as a psychiatrist at the University of North Carolina at Chapel Hill (UNC), I hear more and more physicians report anxiety, stress and emotional exhaustion. Many feel as if they are perpetually swimming upstream; others feel there is no joy or meaning in their work; some want to quit medicine altogether. These good doctors are in crisis in increasingly high numbers — an epidemic that requires immediate attention.

Last year, the UNC School of Medicine launched the Taking Care of Our Own program to address the problem of physician burnout and we have been met with a deluge of physicians asking for help. Burnout, however, is not a diagnosis. It is a constellation of symptoms that include emotional exhaustion, depersonalization and loss of perspective that work is meaningful2. Untreated, burnout syndrome can erode professional behavior at work and healthy relationships at home. This leads to decreased empathy and compassion, poor communication and potentially worse patient outcomes. The personal consequences include disrupted relationships with family and friends, self-medicating with alcohol or other substances, depression and an increased risk of suicide, which is higher among physicians than the general population, in part due to the stigma associated with seeking mental health treatment.

Not a day goes by without my hearing from a physician in distress who has learned about the Taking Care of Our Own program. These conversations have a striking degree of similarity. They typically begin with an apology—a statement about how embarrassing it is to ask for help in dealing with anxiety or depression; or a recent loss; or other emotional stressor that makes it too difficult for the doctor to remain professional and compassionate while managing a demanding workload.

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Big Data in Healthcare: Good or Evil? Depends on the Dollars

flying cadeuciiAn organization’s “business model” means: How does it make a living? What revenue streams sustain it? How it does that makes all the difference in the world.

Saturday, Natasha Singer wrote in the New York Times about health plans and healthcare providers using “big data,” including your shopping patterns, car ownership and Internet usage, to segment their markets.

The beginning of the article featured the University of Pittsburgh Medical Center (UPMC) using “predictive health analytics” to target people who would benefit the most from intervention so that they would not need expensive emergency services and surgery. The later part of the article mentioned organizations that used big data to find their best customers among the worried well and get them in for more tests and procedures. The article quoted experts fretting that this would just lead to more unnecessary and unhelpful care just to fatten the providers’ bottom lines.

The article missed the real news here: Why is one organization (UPMC) using big data so that people end up using fewer expensive healthcare resources, while others use it to get people to use more healthcare, even if they don’t really need it?

Because they are paid differently. They have different business models.

UPMC is an integrated system with its own insurance arm covering 2.4 million people. As a system it has largely found a way out of the fee-for-service model. It has a healthier bottom line if its customers are healthier and so need fewer acute and emergency services. The other organizations are fee-for-service. Getting people in for more tests and biopsies is a revenue stream. For UPMC it would just be a cost.

The evil here is not using predictive modeling to segment the market. The evil here is the fee-for-service system that rewards waste and profiteering in medicine.

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