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Tag: Patient Safety

The “Business Case” For Patient Safety

Betsy Lehman

Twenty years ago this month, the Boston Globe disclosed that health columnist Betsy Lehman, a 39-year-old mother of two, had been killed by a drug overdose during treatment for breast cancer at Dana-Farber Cancer Center. In laying out a grim trail of preventable mistakes at a renowned institution, the Globe prompted local soul searching and a new focus on patient safety nationally.

Although I didn’t know Betsy personally, we were about the same age, had two kids about the same ages and were in the same profession. (I, too, was a health care journalist.) That’s why I was particularly disappointed by a recent conference celebrating the reopening of the Betsy Lehman Center for Patient Safety and Medical Error Reduction. It was heavy on statistics and poll results; e.g., one in four Massachusetts adults say they’ve seen an error in their own care or the care of someone close to them.

While it’s true that Boston is the epicenter of thinking, writing and speaking about patient safety, words do not always translate into deeds.

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The Digital Doctor: Automation, Aviation and Medicine

Miracle Tow

 The story of Chesley “Sully” Sullenberger – the “Miracle on the Hudson” pilot – is a modern American legend. I’ve gotten to know Captain Sullenberger over the past several years, and he is a warm, caring, and thoughtful person who saw, in the aftermath of his feat, an opportunity to promote safety in many industries, including healthcare.

In my continuing series of interviews I conducted for my upcoming book, The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Agehere are excerpts of my interview with Sully, conducted at his house in San Francisco’s East Bay, on May 12, 2014.

Bob Wachter: How did people think about automation in the early days of aviation?

Sully Sullenberger:  When automation became possible in aviation, people thought, “We can eliminate human error by automating everything.” We’ve learned that automation does not eliminate errors. Rather, it changes the nature of the errors that are made, and it makes possible new kinds of errors. The paradox of cockpit automation is that it can lower the pilot’s workload in phases of flight when the workload is already low, and it can increase the workload when the workload is already high.Continue reading…

Could mHealth Apps Be a Reprise of the EHR? The Need For Clinician Input

flying cadeuciiWhile your humble correspondent continues to delight in the emerging science of “mHealth” as a newly minted start-up Chief Medical Officer, he ran across this interesting article on risk and patient safety.

Authors Thomas Lewis and Jeremy Wyatt worry that “apps” can lead to patient harm.

They posit that the likelihood of harm is mainly a function of 1) the nature of the mistake itself (miscalculating a body mass index is far less problematic than miscalculating a drug dose) and 2) its severity (overdosing on a cupcake versus a narcotic).  When you include other “inherent and external variables,” including the display, the user interface, network issues, information storage, informational complexity and the number of patients using it, the risks can grow from a simple case of developer embarrassment to catastrophic patient loss of life.

In response, they propose that app developers think about  this “two dimensional app space” that relies on a risk assessment coupled to a staggered regulation model.  That regulation can range from simple clinical self assessment to a more complex and formal approval process.

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What has Surveyor Health been up to?

Erick & Linda von Schweber started Surveyor Health around the time Health 2.0 started back in 2007, with the BHAG of massively improving medication safety using some very complex technology. And it has taken them a long time to embed themselves in the bowels of some huge health care organizations and to start getting traction. But it is finally happening and the impact may be substantial. I interviewed Erick and he gave me a comprehensive demo and update on their latest results. If you care about drugs and clinical care, this is compelling (if not lightweight!) viewing. (I suggest you switch to full screen for the demo).

Recalling To Err’s Impact and a Small (But Telling) IOM Mistake

Michael MillensonThis year marks the 15th anniversary of the Institute of Medicine (IOM)’s To Err is Human report, which famously declared that from 44,000 to 98,000 Americans died each year from preventable mistakes in hospitals and another one million were injured. That blunt conclusion from a prestigious medical organization shocked the public and marked the arrival of patient safety as a durable and important public policy issue.

Alas, when it comes to providing the exact date of this medical mistakes milestone, the IOM itself is confused and, in a painful piece of irony, sometimes just plain wrong. That’s unfortunate, because the date of the report’s release is an important part of the story of its continued influence.

There’s no question among those of us who’d long been involved in patient safety that the report’s immediate and powerful impact took health policy insiders by surprise.

The data the IOM relied upon, after all, came from studies that appeared years before and then vanished into the background noise of the Hundred Year War over universal health insurance. This time, however, old evidence was carefully rebottled in bright, compelling new soundbites.Continue reading…

A Culture of Overtreatment

flying cadeuciiThe Dallas/Fort Worth Healthcare Daily ran a fascinating excerpt from the Steve Jacob’s book So Long, Marcus Welby, M.D.* The excerpt contained some very interesting assertions and statistics. For example:

  • Consultant PwC, relying on that Congressional Budget Office (CBO) report, estimated that malpractice insurance and defensive medicine accounted for 10 percent of total health-care costs. A 2010 Health Affairs article more conservatively pegged those costs at 2.4 percent of healthcare spending.
  • In a 2010 survey, U.S. orthopedic surgeons bluntly admitted that about 30 percent of tests and referrals were medically unnecessary and done to reduce physician vulnerability to lawsuits.
  • A 2011 analysis by the American Medical Association found that the average amount to defend a lawsuit in 2010 was $47,158, compared with $28,981 in 2001. The average cost to pay a medical liability claim—whether it was a settlement, jury award or some other disposition—was $331,947, compared with $297,682 in 2001.
  • Doctors spend significant time fighting lawsuits, regardless of outcome. The average litigated claim lingered for 25 months. Doctors spent 20 months defending cases that were ultimately dismissed, while claims going to trial took 39 months. Doctors who were victorious in court spent an average of 44 months in litigation.
  • A study in The New England Journal of Medicine estimated that by age 65 about 75 percent of physicians in low-risk specialties have been the target of at least one lawsuit, compared with about 99 percent of those in high-risk specialties.
  • According to Brian Atchinson, president of the Physician Insurers Association of America (PIAA), 70 percent of legal claims do not result in payments to patients, and physician defendants prevail 80 percent of time in claims resolved by verdict.Continue reading…

Is the Electronic Health Record Defunct?

flying cadeuciiWhen building software, requirements are everything.

And although good requirements do not necessarily lead to good software, poor requirements never do.   So how does this apply to electronic health records?   Electronic health records are defined primarily as repositories or archives of patient data. However, in the era of meaningful use, patient-centered medical homes, and accountable care organizations, patient data repositories are not sufficient to meet the complex care support needs of clinical professionals.   The requirements that gave birth to modern EHR systems are for building electronic patient data stores, not complex clinical care support systems–we are using the wrong requirements.

Two years ago, as I was progressing in my exploration of workflow management, it became clear that current EHR system designs are data-centric and not care or process-centric. I bemoaned this fact in the post From Data to Data + Processes: A Different Way of Thinking about EHR Software Design.   Here is an excerpt.

Do perceptions of what constitutes an electronic health record affect software design?  Until recently, I hadn’t given much thought to this question.   However, as I have spent more time considering implementation issues and their relationship to software architecture and design, I have come to see this as an important, even fundamental, question.

The Computer-based Patient Record: An Essential Technology for Health Care, the landmark report published in 1991 (revised 1998) by the Institute of Medicine, offers this definition of the patient record:

A patient record is the repository of information about a single patient.  This information is generated by health care professionals as a direct result of interaction with the patient or with individuals who have personal knowledge of the patient (or with both).

Note specifically that the record is defined as a repository (i.e., a collection of data).   There is no mention of the medium of storage (paper or otherwise), only what is stored.   The definition of patient health record taken from the ASTM E1384-99 document, Standard Guide for Content and Structure of the Electronic Health Record, offers a similar view—affirming the patient record as a collection of data. Finally, let’s look at the definition of EHR as it appears in the 2009 ARRA bill that contains the HITECH Act:

ELECTRONIC HEALTH RECORD —The term ‘‘electronic health record’’ means an electronic record of health-related information on an individual that is created, gathered, managed, and consulted by authorized health care clinicians and staff.  (123 STAT. 259)

Even here, 10 years later, the record/archive/repository idea persists.  Now, back to the issue at hand: How has the conceptualization of the electronic health record as primarily a collection of data affected the design of software systems that are intended to access, manage, and otherwise manipulate said data?

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Before Privatizing the VA, Publicize It

Leah BinderThe Veterans Affairs (VA) hospital scandal has policymakers calling for VA Secretary Eric Shinseki’s head, and this week they got it, when President Obama accepted the Secretary’s resignation.

Some policymakers are also calling for privatizing VA hospitals, allowing them to be owned and operated by the same entities that own and operate the hospitals the rest of us use. This idea assumes the hospital community as a whole performs better than the VA, and the sad truth is we don’t have any evidence of that.

We know that on average, other hospitals are not doing a great job. Upwards of 500 people each  day die from preventable errors in American hospitals, one in 20 admitted patients will get an infection, and one in four inpatients suffer some form of harm unrelated to the reason they went  to the hospital in the first place.

Evidence suggests waiting lists like the VA’s may be common, as well.

So how does the VA compare? We don’t know. We don’t have much data publicly available to begin with, and we have virtually nothing that compares VA hospitals with other American hospitals.

To be clear, data is being collected—it’s just not typically available to humble souls like you and me and the rest of the American citizenry. Hospitals get accredited to receive Medicare and Medicaid payments, but accreditation reports are not made public by hospital. Health plans collect claims data, but most of that is never released to the public. The Centers  for Disease Control,  the Centers for Medicare and Medicaid Services, and other federal agencies collect reams of data, but much of it is not made public,  either.

This dearth of information is why employers and other purchasers of health care formed my organization (The Leapfrog Group), to ask hospitals to report on data they can’t get anywhere else. Their support means it’s free for hospitals to publicly report and free for consumers to access information about hospitals in their community. But only about a third of hospitals participate.

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Harvard MOOC: Patient Safety and Quality with Ashish Jha

Ashish Jha

Last year, about 43 million people around the globe were injured from the hospital care that was intended to help them; as a result, many died and millions suffered long-term disability.  These seem like dramatic numbers – could they possibly be true?

If anything, they are almost surely an underestimate.  These findings come from a paper we published last year funded and done in collaboration with the World Health Organization.  We focused on a select group of “adverse events” and used conservative assumptions to model not only how often they occur, but also with what consequence to patients around the world.

Our WHO-funded study doesn’t stand alone; others have estimated that harm from unsafe medical care is far greater than previously thought.  A paper published last year in the Journal of Patient Safety estimated that medical errors might be the third leading cause of deaths among Americans, after heart disease and cancer.

While I find that number hard to believe, what is undoubtedly true is this:  adverse events – injuries that happen due to medical care – are a major cause of morbidity and mortality, and these problems are global.  In every country where people have looked (U.S., Canada, Australia, England, nations of the Middle East, Latin America, etc.), the story is the same.

Patient safety is a big problem – a major source of suffering, disability, and death for the world’s population.The problem of inadequate health care, the global nature of this challenging problem, and the common set of causes that underlie it, motivated us to put together PH555X.

It’s a HarvardX online MOOC (Massive Open Online Course) with a simple focus: health care quality and safety with a global perspective.

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