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Month: January 2013

The Fix that Failed

The new “fiscal cliff” legislation hailed by some as a “one-year doc fix” of the scheduled 26.5% sustainable growth rate (SGR) cut that was scheduled to take effect on 1 January 2013, has passed the Senate and House as part of the American Taxpayer Relief Act ( HR 8 ) goes to President Obama for his likely signature.

But was this “one-year doc fix” really a fix?

Not at all.

In fact, once again Congress has failed to resolve the ever-present sustainable growth rate cuts that repetitively surface year after year by kicking the proverbial can down the road another year.

The cost of the one year patch will be $25.1 billion dollars over 10 years and will be paid for almost entirely by health care cuts in other areas.

  • Hospitals (increasingly doctor-employers now, remember?) will see audits of their billings increase as efforts to recoup some $10.5 billion of “overcoding” charges are seen as the largest source of revenue for the one-year “fix.”
  • Hospitals will also see an extension of lower Medicaid payments to hospitals that treat a high number of uninsured or low-income beneficiaries, known as “disproportionate share hospitals” to find savings of about $4.2 billion.
  • Another $4.9 billion offset will be applied to the lowered bundled payments given for patients with end-stage renal disease – some of the sickest people receiving services from Medicare.

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Building a Better Health Care System: End of Life Care – A Case Study

She was 94 years old with advanced Alzheimer’s. She thought it was 1954 and asked if I wanted tea. Not a bad memory for someone in a hospital bed with a broken left hip.

She’d fallen at her assisted living facility. It was the second time in as many months. She’d broken her collarbone on the previous occasion.

Over the past year, she’d lost thirty pounds. This is natural in the progression of Alzheimer’s. But it’s upsetting to families all the same.

My patient was lucky. She’d lived to 94, and had supportive children who were involved in her care. Her son had long ago been designated as power-of-attorney for her health care. This meant officially that his decisions regarding her care were binding. She was not capable of making sound decisions, medical or otherwise.

The patient had been under the care of a geriatrician. His office chart told me that the option of hospice and palliative care had been discussed with the family. They were interested in learning more; the son had agreed that “Do Not Resuscitate” status was appropriate for his mother. Doing chest compressions on a frail 94 year-old is something none of us want to do.

The morning after her hospital admission for the broken hip, the medical intern called me with an ethical dilemma: “She’s DNR,” the intern explained. “She’s having intermittent VTach on the monitor, and I fear she won’t be stable enough to have the hip repaired. The family is open to the idea of hospice, but I don’t know whether to treat the arrhythmia or not.”

Elaine (not her real name) is one of our brightest interns. She’s thinking about going into geriatrics. Situations like this are in many ways the most meaningful for doctors. Too often we stress about minutiae at the expense of the big picture; helping guide a family and patient through a period of critical illness is of true service.

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Why Getting to a Digital Health Care System Is Going to Be Harder Than We Thought Ten Years Ago

A leading scientist once claimed that, with the relevant data and a large enough computer, he could “compute the organism” – meaning completely describe its anatomy, physiology, and behavior. Another legendary researcher asserted that, following capture of the relevant data, “we will know what it is to be human.” The breathless excitement of Sydney Brenner and Walter Gilbert —voiced more than a decade ago and captured by the skeptical Harvard geneticist Richard Lewontin [1]– was sparked by the sequencing of the human genome. Its echoes can be heard in the bold promises made for digital health today.

The human genome project, while an extraordinary technological accomplishment, has not translated easily into improved medicine nor unleashed a torrent of new cures. Perhaps the most successful “genomics” company, Millennium Pharmaceuticals, achieved lasting success not by virtue of the molecular cures they organically discovered, but by the more traditional pipeline they shrewdly acquired (notably via the purchase of LeukoSite, which ultimately yielded Campath and Velcade).

The enduring lesson of the genomics frenzy was succinctly captured by Brown and Goldstein, when they observed, “a gene sequence is not a drug.”

Flash forward to today: technologists, investors, providers, and policy makers all exalt the potential of digital health [2]. Like genomics, the big idea – or leap of faith — is that through the more complete collection and analysis of data, we’ll be able to essentially “compute” healthcare – to the point, some envision, where computers will become the care providers, and doctors will at best be customer service personnel, like the attendants at PepBoys, interfacing with libraries of software driven algorithms.

A measure of humility is in order. Just as a gene sequence is not a drug, information is not a cure. Getting there will take patience, persistence, money and aligned interests. The most successful innovators in digital health will see the promise of the technology, but also accept, embrace, and ideally leverage the ambiguity of disease, the variability of patients, and the complexities of clinical care.
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