All posts by blackfriar

Nussy La La Lamb Fig Salad

Ingredients

  • 2 Lamb Backstraps
  • 1 bunch Basil
  • Baby Spinach
  • Rocket
  • Green beans
  • 6 small vine ripened tomatoes
  • Salt/Pepper
  • Cumin 2 tbsp heaped
  • Sweet Paprika 2 tbsp heaped
  • Olive Oil
  • 5 handfuls of Macadamia Nuts (salted)
  • 4 -6 fresh ripe Figs (can substitute with mangoes)
  • Marinated feta cheese

Instructions

  1. Mix the dry spices, salt, and add oil to make a paste (I like my meat well-seasoned – you may prefer a more mild approach)
  2. Make diagonal slices into the lamb – both surfaces and rub a little salt and pepper into the meat. rub the paste into the meat and stuff the basil into the slits. drizzle olive oil over the marinated meat, cover and place aside ( if you have an hour, great)
  3. heat up olive oil and sear the lamb then cook through medium-rare (i do it all on the stove top, but one could sear on the top and cook through in the oven)
  4. Slice the lamb on the diagonal and set aside to rest.
  5. Warm the tomatoes through cooking them in the leftover juices and with the cut surface on the hot pan
  6. Layer baby spinach/rocket/beans/tomatoes sprinkle as many nuts as you like, alternating with figs. Dribble the feta cheese herb oil judiciously over the salad and add the crumbled feta in quantities to your taste. Last but not least, pour the juices from the pan into the salad

Drew’s 7 Hour Lamb

  • 1 x 2-2.5 kg leg of lamb
  • 2 tbspn butter
  • 3 tbspn gin or brandy (I use gin)
  • 150 mls red wine
  • 150 mls lamb or chicken stock
  • 40 cloves of garlic (this is not a typo: forty cloves, over 3 quorms or heads of garlic!)
  • 4 sprigs thyme

Preheat (hah!) oven to 120?C. Boil a huge pot of water and plunge lamb into it. When water re-boils, leave to simmer for 15 minutes then drain and pat dry.

Melt butter in a heavy pot or dutch oven with a lid that will easily contain the lamb. Brown lamb on all sides, and then add gin or brandy and flambe. When flames have died down, add wine, stock, garlic and thyme. Season with salt and pepper and cover tightly with lid. Put in pre-heated oven for 7 hours, turning twice (once every 2hrs20mins?).

Remove lamb very carefully (it is now very tender, falling off the bone) and keep warm, then puree remaining contents of the baking dish and return to the pan over medium to high heat. Reduce to sauce consistency (garlic will help thicken), and serve in a gravy boat to be poured over lamb. I served this with a salad and crusty bread, but the recipe recommends a mashed potato accompaniment, which would be pretty fabulous too.

Bon apetit.

Blue Zones: Terraformers…

http://www.bluezones.com/

Blue Zones employs evidence-based ways to help people live longer, better. The Company’s work is rooted in the New York Times best-selling books The Blue Zones and Thrive—both published by National Geographic books. In 2009, Blue Zones applied the tenets of the books to Albert Lea, MN and successfully raised life expectancy and lowered health care costs for city workers by 40%. Blue Zones takes a systematic, environmental approach to well-being which focuses on optimizing policy, building design, social networks, and the built environment. The Blue Zones Project is based on this innovative approach.

Dementia Researchers Call for G-8 to Focus on Prevention

  • 44 million people have dementia worldwide
  • better diet, exercise, low blood pressure, not smoking and avoiding obesity present key aspects of preventing dementia
  • Vitamins B6 and B12 and folic acid would cost pennies a day and slowed atrophy of gray matter in brain areas affected by Alzheimer’s disease, according to a study published in May by the Proceedings of the National Academy of Sciences.

 

http://www.bloomberg.com/news/2013-12-10/dementia-researchers-call-for-g-8-to-focus-on-prevention.html

Dementia Researchers Call for G-8 to Focus on Prevention

By Andrea Gerlin  Dec 10, 2013 9:00 PM ET
The suffering and costs of dementia would be reduced by preventative measures if the Group of Eight nations adopt a model that has worked in fighting heart disease, a group of doctors and scientists said.

“About half of Alzheimer’s disease cases worldwide might be attributable to known risk factors,” they said in a statement before a G-8 meeting in London tomorrow to coordinate responses to the condition. “Taking immediate action on the known risk factors could perhaps prevent up to one-fifth of predicted new cases by 2025.”

The costs of dementia were estimated at $604 billion for 2010, the group said, and the number of cases is set to more than triple by 2050. The 111 signatories from 36 countries called on governments to back more research into prevention, and policies such as promotion of healthier diets. The G-8 are the U.K., U.S., GermanyFranceCanadaItalyRussiaand Japan.

“The choice is stark,” said Zaven Khachaturian, a signatory and editor-in-chief of U.S. journalAlzheimer’s & Dementia. “Either you invest money in creating this infrastructure for preventing or delaying dementia, or continue along the way. If we continue with the current trends, no country’s health-care system will be able to provide care.”

Cheap Vitamins

Alzheimer’s Disease International estimates that 44 million people worldwide have dementia, which will rise to 76 million in 2030 and 135 million by 2050, according to data from the group of Alzheimer’s associations.

About $40 billion has been invested in drug development efforts that haven’t produced effective new medicines, the researchers said in today’s statement. Even so, recent research suggests there may be cheap options to help tackle the problem.

A cocktail of vitamins B6 and B12 and folic acid would cost pennies a day and slowed atrophy of gray matter in brain areas affected by Alzheimer’s disease, according to a study published in May by the Proceedings of the National Academy of Sciences.

About half the fall in deaths from conditions such as heart disease and stroke in the past 50 years resulted from modifying risk factors, according to the scientists advocating prevention. Taking a similar approach to dementia by encouraging middle-aged people to adopt healthy lifestyles may ward off the condition as it does other diseases and save “huge sums,” they said.

Healthy Lifestyle

A healthy lifestyle includes exercising; not smoking; following a diet rich in fruit, vegetables and fish; avoiding obesity, diabetes and excessive alcohol; and treating high blood pressure, the researchers said.

Other research is helping to identify people at risk. A person’s chance of getting dementia before age 65 may develop as early as adolescence, according to a study that suggests teens with high blood pressure or who drink excessively are at risk.

Other risk factors include stroke, use of antipsychotics, father’s dementia, drug intoxication, as well as short stature and low cognitive function, according to the study of Swedish men published by the journal JAMA Internal Medicine in August.

G-8 governments should set goals, stimulate more collaborative research, coordinate policies and establish consistent rules for data sharing, intellectual property and ethics, Khachaturian said in a telephone interview.

The U.S. Food and Drug Administration hasn’t cleared new drugs for memory loss conditions in a decade. Approved medicines such as Eisai Co. (4523)’s Aricept ease symptoms without slowing or curing dementia.

Useful Lessons

A joint U.S.-European Union task force in 2011 found that all disease-modifying treatments for Alzheimer’s in the previous decade failed late-stage trials “despite enormous financial and scientific efforts.” Since then, at least four more experimental treatments have failed.

Eric Karran, director of research at the charity Alzheimer’s Research UK, who wasn’t among the signatories to the statement, said that failed trials can provide useful lessons. One of the four medicines, Eli Lilly & Co. (LLY)’s solanezumab, is undergoing further tests to determine if it helps people with mild Alzheimer’s disease, Karran said.

“If we could just get efficacy in one approach, we will unlock so much else, we will get so much more understanding,” Karran said at a press conference on Dec. 4. “If solanezumab is shown to work in mild Alzheimer’s disease, the pathway will be to take that earlier and earlier.”

To Make Hospitals Less Deadly, a Dose of Data

The true horror of modern hospital medicine is starting to be revealed.

440,000 deaths per year (up from 96,000 based on 1984 data) – one sixth of all deaths nationally, making preventable hospital error the third leading cause of death in the United States.

http://opinionator.blogs.nytimes.com/2013/12/04/to-make-hospitals-less-deadly-a-dose-of-data/?hp&rref=opinion&_r=1

To Make Hospitals Less Deadly, a Dose of Data

DECEMBER 4, 2013, 11:00 AM
By TINA ROSENBERG

Going to the hospital is supposed to be good for you. But in an alarming number of cases, it isn’t. And often it’s fatal. In fact it is the most dangerous thing most people will do.

Until very recently, health care experts believed that preventable hospital error caused some 98,000 deaths a year in the United States — a figure based on 1984 data. But a new report from the Journal of Patient Safety using updated data holds such error responsible for many more deaths — probably around some 440,000 per year. That’s one-sixth of all deaths nationally, making preventable hospital error the third leading cause of death in the United States. And 10 to 20 times that many people suffer nonlethal but serious harm as a result of hospital mistakes.

Most of us decide which hospital to go to (that is, when we get to decide) with zero data about hospital safety. Information, however, is gradually reaching the public, and it can do more than just help us choose wisely. When patients can judge hospitals on their safety records, hospitals will become safer. Just as publishing health care prices will drive them down, publishing safety information will drive hospital safety up.

In theory, finding this information shouldn’t be a problem. Hospitals began to track errors seriously around 2000. The federal government’s Centers for Medicare and Medicaid Services began collecting information on hospital quality in 2003, and since 2005 has been posting information on the website Hospital Compare. Many states have their own websites.

Other organizations compile this information as well, such as Consumers Union’s Consumer Reports (subscription required), which scores hospitals on their safety and the quality of care. The Leapfrog Group, which represents employer purchasers of health care, scores hospitals on safety measures. (The hospital ranking site probably most familiar to readers, U.S. News’ Best Hospitals rankings, describes its mission as a very different one — to help patients with very difficult problems choose hospitals.)

All of these groups measure different things, which is why a hospital can rank near the top on one list and near the bottom on another. Most groups make money by charging hospitals to use their logo and ratings in their publicity. Consumer Reports is an exception — it doesn’t allow hospitals to advertise its rankings.

“There is no longer a question of whether or not people have a right to information about quality, and that hospitals should be transparent and accountable,” said Debra L. Ness, the president of the National Partnership for Women and Families. Ness is on the board of the National Quality Forum, the organization that sets standards for evaluating health care safety and quality. “It’s not so much any longer a debate about whether — it’s more about how.”

But so far, the answer to the question of how is “slowly.” There is a big advance coming — Hospital Compare plans to begin reporting on rates of MRSA (or methicillin-resistant Staphylococcus aureus, a drug-resistant bacteria) and C-diff (Clostridium difficile) infections this month. These are dangerous, high-prevalence infections — crucial safety issues to track. But they are an exception on Hospital Compare. Much of what the public wants to know isn’t there — and a lot of what’s there isn’t meaningful.

What’s your hospital’s rate of surgical site infection? You can find out if you live in California or Pennsylvania — states that collect exhaustive information on hospital infections and post it. The rest of us are out of luck. Hospital Compare will tell you only about colon surgery or abdominal hysterectomy — no knee replacement, heart bypass or any other surgery. How often does your local hospital leave a foreign object (like a surgical sponge) inside a patient? Or administer the wrong type of blood? Or allow a patient to develop a serious bed sore or a blood clot? Hospital Compare is now listing only old data for these errors, and has stopped updating those measures on the site.

What about the hospital’s record at preventing re-admission in the 30 days after discharge? We can find that out for Medicare patients (the data comes from Medicare claims), but not for the rest of us. “Hospital Compare has a lot of bells and whistles but underneath it is nothing,” said Leah Binder, the chief executive of The Leapfrog Group. “Most hospitals are rated as average on every measure, and most measures are not things of great interest. We’re further along, but we’re really in the dark ages on reporting information in a way the public can use.”

Measuring hospital safety is hard. Comparison, of course, requires everyone to be using the same measures — so how to reconcile the many variations hospitals use? And how do we know a measurement actually tells us what we think it does?

It’s easiest to measure how often hospitals carry out processes that are recognized to be best practice, such as whether the patient got treatment to prevent blood clots after certain types of surgery, or whether the patient’s temperature was kept steady in the operating room. Hospitals track such processes for their own internal quality controls.

This kind of process information dominates Hospital Compare and some of the independent rating organizations. (U.S. News’ rankings lean heavily on a hospital’s reputation, which earns it heavy criticism.)

But tracking processes doesn’t produce the kind of information patients need. Hospitals are doing so well on these measures they are topping out, offering no way to compare them. Some of the measures are only loosely related to patient outcomes. For example, Hospital Compare shows that the national average for the practice of discontinuing prophylactic antibiotics within 24 hours after surgery is 97 percent. Top marks — but there is little evidence showing that this practice is linked to fewer surgical site infections. And it’s outcomes that count.

Why doesn’t Hospital Compare list more outcomes? Hospitals argue — and they are right — that it is much more expensive and technically difficult to develop outcome measures than process measures. “We need measures that have scientific reliability and validity,” said Nancy Foster, the American Hospital Association’s vice president of quality and patient safety policy. “Hospitals need the engagement of medical staff. If medical staff doesn’t find the data credible then you lose them — they won’t be there in the quality improvement. “

But at times it seems as if hospitals aren’t trying very hard. They like to report process measures on which they score well. But with 440,000 deaths from hospital error per year, their record is poor on key safety outcomes. This somewhat dampens their enthusiasm for public reporting. And what hospitals want matters a lot. “At the end of the day, the providers have to implement this,” said Ness. “There has to be a reasonable amount of buy-in for it to work well.”

“If you just looked at Hospital Compare’s process measures, you’d assume that all hospitals in this country are doing extremely well,” said Binder. “This is misleading to the public because of the politics behind the scene of the website. Lobbyists for providers have been very effective at making sure what gets reported doesn’t have much teeth.”

Hospital Compare chooses what to display mainly using guidelines set by the National Quality Forum, which was established in 1999 in response to a government commission on consumer protection in health care. At the Quality Forum, groups representing health care consumers — patients and the corporations who pay for health care — are represented on all committees, and they hold a guaranteed majority on the most important committee. But patients can’t match the clout of the providers. “Hospitals are ever-present in this work,” said Lisa McGiffert, who is director of the Safe Patient Project at the Consumers Union and has been a consumer representative on several Quality Forum committees. “They have lobbyists all over Congress and administration folks. They outnumbered us on the committees that I have been on at N.Q.F. When I was on the infections committee I was rolled over constantly.”

In a December 2011 meeting, the Measurement Application Partnership, a committee run by the Quality Forum, voted — over the objection of consumer and purchaser representatives — not to endorse reporting on several different serious hospital errors that were already on Hospital Compare. Hospital Compare then stopped updating data on air embolism, sponges or instruments left in a patient, serious bed sores and blood clots, among other events.

No one thought the raw data was unfair to hospitals — the data probably undercounted the number of hospital errors, said Foster. But hospitals argued that in some cases, the per-hospital numbers were so small the differences between hospitals might have been random, a conclusion supported by an independent review. (Hospitals have fought changes that would make reporting more complete — so it takes chutzpah to argue that the numbers are too small to publish.) “We agree with the concept,” Foster said. “But the way the measures are executed makes them very unreliable and, we believe, invalid. You don’t know that what you are looking at is an accurate representation of a hospital’s performance.”

Advocates for health care consumers argued that it didn’t matter — just knowing the number of errors was important. “Do you as an American have the right to know if the hospital down the street left an object in a patient?” said Binder. “That information has now been taken out of the hands of the consumer by lobbyists. We should always tilt towards transparency.”

Poor or irrelevant data keeps patients from finding the information they need. Another problem is that the data that’s there isn’t presented in a way people can easily use.

Hospital Compare cuts very thick slices. There’s below average, above average and average, which is the score of the vast majority of hospitals. And most patients simply don’t know about Hospital Compare. That’s not the government’s fault, but it does illustrate the need for translator organizations such as Consumer Reports — which has five categories, not three — and Leapfrog, which issues letter grades, with more detail available for those who want it.

Leapfrog’s twice-yearly data release gets a lot of coverage. McGiffert said that when Consumer Reports first came out with ratings for central-line and surgical site infections, some hospitals protested that the data was wrong. But it was the same data hospitals had submitted for state reports. “We were using data that had already been on state websites, but nobody had paid attention to it,” she said. “Agencies are never going to do a media push when they publish these.”

That media push reaches more patients, and it forces hospitals to focus on safety. “These are a major factor in getting hospitals’ attention,” said McGiffert. She said that hospitals in states that required public reporting were far more likely to adopt quality-improvement practices.

Binder said that except for advances in doctors’ using computers to enter treatment orders, hospital safety records, as a group, are not improving. This is hardly surprising. What gets measured gets done, and many aspects of safety are still not even measured. The Journal of Patient Safety study found 210,000 “detectable” deaths per year — the number they eventually fixed on of 440,000 reflected the estimate that half or two-thirds of all such deaths are never counted. “That’s a big range,” said Binder. “It sounds so high, but what more frightening is that we still don’t know. Nobody’s counting the bodies.”

Join Fixes on Facebook and follow updates on twitter.com/nytimesfixes. To receive e-mail alerts for Fixes columns, sign up here.

Tina Rosenberg won a Pulitzer Prize for her book “The Haunted Land: Facing Europe’s Ghosts After Communism.” She is a former editorial writer for The Times and the author, most recently, of “Join the Club: How Peer Pressure Can Transform the World” and the World War II spy story e-book “D for Deception.”

By TINA ROSENBERG

Going to the hospital is supposed to be good for you. But in an alarming number of cases, it isn’t. And often it’s fatal. In fact it is the most dangerous thing most people will do.

Until very recently, health care experts believed that preventable hospital error caused some 98,000 deaths a year in the United States — a figure based on 1984 data. But a new report from the Journal of Patient Safety using updated data holds such error responsible for many more deaths — probably around some 440,000 per year. That’s one-sixth of all deaths nationally, making preventable hospital error the third leading cause of death in the United States. And 10 to 20 times that many people suffer nonlethal but serious harm as a result of hospital mistakes.

Most of us decide which hospital to go to (that is, when we get to decide) with zero data about hospital safety. Information, however, is gradually reaching the public, and it can do more than just help us choose wisely. When patients can judge hospitals on their safety records, hospitals will become safer. Just as publishing health care prices will drive them down, publishing safety information will drive hospital safety up.

In theory, finding this information shouldn’t be a problem. Hospitals began to track errors seriously around 2000. The federal government’s Centers for Medicare and Medicaid Services began collecting information on hospital quality in 2003, and since 2005 has been posting information on the website Hospital Compare. Many states have their own websites.

Other organizations compile this information as well, such as Consumers Union’s Consumer Reports (subscription required), which scores hospitals on their safety and the quality of care. The Leapfrog Group, which represents employer purchasers of health care, scores hospitals on safety measures. (The hospital ranking site probably most familiar to readers, U.S. News’ Best Hospitals rankings, describes its mission as a very different one — to help patients with very difficult problems choose hospitals.)

All of these groups measure different things, which is why a hospital can rank near the top on one list and near the bottom on another. Most groups make money by charging hospitals to use their logo and ratings in their publicity. Consumer Reports is an exception — it doesn’t allow hospitals to advertise its rankings.

“There is no longer a question of whether or not people have a right to information about quality, and that hospitals should be transparent and accountable,” said Debra L. Ness, the president of the National Partnership for Women and Families. Ness is on the board of the National Quality Forum, the organization that sets standards for evaluating health care safety and quality. “It’s not so much any longer a debate about whether — it’s more about how.”

But so far, the answer to the question of how is “slowly.” There is a big advance coming — Hospital Compare plans to begin reporting on rates of MRSA (or methicillin-resistant Staphylococcus aureus, a drug-resistant bacteria) and C-diff (Clostridium difficile) infections this month. These are dangerous, high-prevalence infections — crucial safety issues to track. But they are an exception on Hospital Compare. Much of what the public wants to know isn’t there — and a lot of what’s there isn’t meaningful.

What’s your hospital’s rate of surgical site infection? You can find out if you live in California or Pennsylvania — states that collect exhaustive information on hospital infections and post it. The rest of us are out of luck. Hospital Compare will tell you only about colon surgery or abdominal hysterectomy — no knee replacement, heart bypass or any other surgery. How often does your local hospital leave a foreign object (like a surgical sponge) inside a patient? Or administer the wrong type of blood? Or allow a patient to develop a serious bed sore or a blood clot? Hospital Compare is now listing only old data for these errors, and has stopped updating those measures on the site.

What about the hospital’s record at preventing re-admission in the 30 days after discharge? We can find that out for Medicare patients (the data comes from Medicare claims), but not for the rest of us. “Hospital Compare has a lot of bells and whistles but underneath it is nothing,” said Leah Binder, the chief executive of The Leapfrog Group. “Most hospitals are rated as average on every measure, and most measures are not things of great interest. We’re further along, but we’re really in the dark ages on reporting information in a way the public can use.”

Measuring hospital safety is hard. Comparison, of course, requires everyone to be using the same measures — so how to reconcile the many variations hospitals use? And how do we know a measurement actually tells us what we think it does?

It’s easiest to measure how often hospitals carry out processes that are recognized to be best practice, such as whether the patient got treatment to prevent blood clots after certain types of surgery, or whether the patient’s temperature was kept steady in the operating room. Hospitals track such processes for their own internal quality controls.

This kind of process information dominates Hospital Compare and some of the independent rating organizations. (U.S. News’ rankings lean heavily on a hospital’s reputation, which earns it heavy criticism.)

But tracking processes doesn’t produce the kind of information patients need. Hospitals are doing so well on these measures they are topping out, offering no way to compare them. Some of the measures are only loosely related to patient outcomes. For example, Hospital Compare shows that the national average for the practice of discontinuing prophylactic antibiotics within 24 hours after surgery is 97 percent. Top marks — but there is little evidence showing that this practice is linked to fewer surgical site infections. And it’s outcomes that count.

Why doesn’t Hospital Compare list more outcomes? Hospitals argue — and they are right — that it is much more expensive and technically difficult to develop outcome measures than process measures. “We need measures that have scientific reliability and validity,” said Nancy Foster, the American Hospital Association’s vice president of quality and patient safety policy. “Hospitals need the engagement of medical staff. If medical staff doesn’t find the data credible then you lose them — they won’t be there in the quality improvement. “

But at times it seems as if hospitals aren’t trying very hard. They like to report process measures on which they score well. But with 440,000 deaths from hospital error per year, their record is poor on key safety outcomes. This somewhat dampens their enthusiasm for public reporting. And what hospitals want matters a lot. “At the end of the day, the providers have to implement this,” said Ness. “There has to be a reasonable amount of buy-in for it to work well.”

“If you just looked at Hospital Compare’s process measures, you’d assume that all hospitals in this country are doing extremely well,” said Binder. “This is misleading to the public because of the politics behind the scene of the website. Lobbyists for providers have been very effective at making sure what gets reported doesn’t have much teeth.”

Hospital Compare chooses what to display mainly using guidelines set by the National Quality Forum, which was established in 1999 in response to a government commission on consumer protection in health care. At the Quality Forum, groups representing health care consumers — patients and the corporations who pay for health care — are represented on all committees, and they hold a guaranteed majority on the most important committee. But patients can’t match the clout of the providers. “Hospitals are ever-present in this work,” said Lisa McGiffert, who is director of the Safe Patient Project at the Consumers Union and has been a consumer representative on several Quality Forum committees. “They have lobbyists all over Congress and administration folks. They outnumbered us on the committees that I have been on at N.Q.F. When I was on the infections committee I was rolled over constantly.”

In a December 2011 meeting, the Measurement Application Partnership, a committee run by the Quality Forum, voted — over the objection of consumer and purchaser representatives — not to endorse reporting on several different serious hospital errors that were already on Hospital Compare. Hospital Compare then stopped updating data on air embolism, sponges or instruments left in a patient, serious bed sores and blood clots, among other events.

No one thought the raw data was unfair to hospitals — the data probably undercounted the number of hospital errors, said Foster. But hospitals argued that in some cases, the per-hospital numbers were so small the differences between hospitals might have been random, a conclusion supported by an independent review. (Hospitals have fought changes that would make reporting more complete — so it takes chutzpah to argue that the numbers are too small to publish.) “We agree with the concept,” Foster said. “But the way the measures are executed makes them very unreliable and, we believe, invalid. You don’t know that what you are looking at is an accurate representation of a hospital’s performance.”

Advocates for health care consumers argued that it didn’t matter — just knowing the number of errors was important. “Do you as an American have the right to know if the hospital down the street left an object in a patient?” said Binder. “That information has now been taken out of the hands of the consumer by lobbyists. We should always tilt towards transparency.”

Poor or irrelevant data keeps patients from finding the information they need. Another problem is that the data that’s there isn’t presented in a way people can easily use.

Hospital Compare cuts very thick slices. There’s below average, above average and average, which is the score of the vast majority of hospitals. And most patients simply don’t know about Hospital Compare. That’s not the government’s fault, but it does illustrate the need for translator organizations such as Consumer Reports — which has five categories, not three — and Leapfrog, which issues letter grades, with more detail available for those who want it.

Leapfrog’s twice-yearly data release gets a lot of coverage. McGiffert said that when Consumer Reports first came out with ratings for central-line and surgical site infections, some hospitals protested that the data was wrong. But it was the same data hospitals had submitted for state reports. “We were using data that had already been on state websites, but nobody had paid attention to it,” she said. “Agencies are never going to do a media push when they publish these.”

That media push reaches more patients, and it forces hospitals to focus on safety. “These are a major factor in getting hospitals’ attention,” said McGiffert. She said that hospitals in states that required public reporting were far more likely to adopt quality-improvement practices.

Binder said that except for advances in doctors’ using computers to enter treatment orders, hospital safety records, as a group, are not improving. This is hardly surprising. What gets measured gets done, and many aspects of safety are still not even measured. The Journal of Patient Safety study found 210,000 “detectable” deaths per year — the number they eventually fixed on of 440,000 reflected the estimate that half or two-thirds of all such deaths are never counted. “That’s a big range,” said Binder. “It sounds so high, but what more frightening is that we still don’t know. Nobody’s counting the bodies.”

Join Fixes on Facebook and follow updates on twitter.com/nytimesfixes. To receive e-mail alerts for Fixes columns, sign up here.

Tina Rosenberg won a Pulitzer Prize for her book “The Haunted Land: Facing Europe’s Ghosts After Communism.” She is a former editorial writer for The Times and the author, most recently, of “Join the Club: How Peer Pressure Can Transform the World” and the World War II spy story e-book “D for Deception.”

Hammerbacher, Sinai and Minerva…

Top piece on Sinai’s vision. Everything’s lined up there except the doctors – hmmm…. They’ll need some amazing insights to bust through the inertia, but expect they’ll glean them…

http://www.fastcoexist.com/3022050/futurist-forum/in-the-hospital-of-the-future-big-data-is-one-of-your-doctors

In The Hospital Of The Future, Big Data Is One Of Your Doctors

December 5, 2013 | 7:30 AM

From our genomes to Jawbones, the amount of data about health is exploding. Bringing on top Silicon Valley talent, one NYC hospital is preparing for a future where it can analyze and predict its patients’ health needs–and maybe change our understanding of disease.

The office of Jeff Hammerbacher at Mount Sinai’s Icahn School of Medicine sits in the middle of one of the most stark economic divides in the nation. To Hammerbacher’s south are New York City’s posh Upper East Side townhouses. To the north, the barrios of East Harlem.

What’s below is most interesting: Minerva, a humming supercomputer installed last year that’s named after the Roman goddess of wisdom and medicine.

It’s rare to find a supercomputer in a hospital, even a major research center and medical school like Mount Sinai. But it’s also rare to find people like Hammerbacher, a sort of human supercomputer who is best known for launching Facebook’s data science teamand, later, co-founding Cloudera, a top Silicon Valley “big data” software company where he is chief scientist today. After moving to New York this year to dive into a new role as a researcher at Sinai’s medical school, he is setting up a second powerful computing cluster based on Cloudera’s software (it’s called Demeter) and building tools to better store, process, mine, and build data models. “They generate a pretty good amount of data,” he says of the hospital’s existing electronic medical record system and its data warehouse that stored 300 million new “events” last year. “But I would say they are only scratching the surface.”

Could there actually be three types of Type 2 diabetes? A look at the health data of 30,000 volunteers hints that we know less than we realize. Credit: Li Li, Mount Sinai Icahn School of Medicine, and Ayasdi

Combined, the circumstances make for one of the most interesting experiments happening in hospitals right now–one that gives a peek into the future of health care in a world where the amount of data about our own health, from our genomes to ourJawbone tracking devices, is exploding.

“What we’re trying to build is a learning health care system,” says Joel Dudley, director of biomedical informatics for the medical school. “We first need to collect the data on a large population of people and connect that to outcomes.”

To imagine what the hospital of the future could look like at Mount Sinai, picture how companies like Netflix and Amazon and even Facebook work today. These companies gather data about their users, and then run that data through predictive models and recommendation systems they’ve developed–usually taking into account a person’s past history, maybe his or her history in other places on the web, and the history of “similar” users–to make a best guess about the future–to suggest what a person wants to buy or see, or what advertisement might entice them.

Through real-time data mining on a large scale–on massive computers like Minerva–hospitals could eventually operate in similar ways, both to improve health outcomes for individual patients who enter Mount Sinai’s doors as well as to make new discoveries about how to diagnose, treat, and prevent diseases at a broader, public health scale. “It’s almost like the Hadron Collider approach,” Dudley says. “Let’s throw in everything we think we know about biology and let’s just look at the raw measurements of how these things are moving within a large population. Eventually the data will tell us how biology is wired up.”

Dudley glances at his screen to show the very early inklings of this vision of what “big data” brought to the world of health care and medical research could mean.

On it (see the figure above) is a visualization of the health data of 30,000 Sinai patients who have volunteered to share their information with researchers. He points out, in color, three separate clusters of the people who have Type 2 diabetes. What we’re looking at could be an entirely new notion of a highly scrutinized disease. “Why this is interesting is we could really be looking at Type 2, Type 3, and Type 4 diabetes,” says Dudley. “Right now, we have very coarse definitions of disease which are not very data-driven.” (Patients on the map are grouped by how closely related their health data is, based on clinical readings like blood sugar and cholesterol.)

From this map and others like it, Dudley might be able to pinpoint genes that are unique to diabetes patients in the different clusters, giving new ways to understand how our genes and environments are linked to disease, symptoms, and treatments. In another configuration of the map, Dudley shows how racial and ethnic genetic differences may define different patterns of a disease like diabetes–and ultimately, require different treatments.

These are just a handful of small examples of what could be done with more data on patients in one location, combined with the power to process it. In the same way Facebook shows the social network, this data set is the clinical network. (The eventual goal is to enroll 100,000 patients in what’s called the BioMe platform to explore the possibilities in having access to massive amounts of data.) “There’s nothing like that right now–where we have a sort of predictive modeling engine that’s built into a health care system,” Dudley says. “Those methods exist. The technology exists, and why we’re not using that for health care right now is kind of crazy.”

While Sinai’s goal is to use these methods to bring about more personalized diagnoses and treatments for a wide variety of diseases, such as cancer or diabetes, and improve patient care in the hospital, there are basic challenges that need to be overcome in order to making this vision achievable.

Almost every web company was born swimming in easily harvested and mined data about users, but in health care, the struggle has for a long time been more simple: get health records digitized and keep them private, but make them available to individual doctors, insurers, billing departments, and patients when they need them. There’s not even a hospital’s version of a search engine for all its data yet, says Hammerbacher, and in the state the slow-moving world of health care is in today, making predictions that would prevent disease could be just the icing on the cake. “Simply centralizing the data and making it easily available to a broad base of researchers and clinicians will be a powerful tool for developing new models that help us understand and treat disease,” he says.

Sinai is starting to put some of these ideas into clinical practice at the hospital. For example, in a hint of more personalized medicine that could come one day, the FDA is beginning to issue labels for some medicines that dictate different doses for patients who have a specific genetic variant (or perhaps explain that they should avoid the medicine altogether). The “Clipmerge” software that the hospital is beginning to now use makes it easier for doctors to quickly search and be notified of these kinds of potential interactions on an electronic medical record form.

On the prediction side, the hospital has already implemented a predictive model called PACT into its electronic medical record system. It is used to predict the likelihood that a discharged patient will come back to the hospital within 90 days (the new health care law creates financial incentives for hospitals to reduce their 90-day readmission rate). Based on the prediction, a high-risk patient at the medical center now might actually receive different care, such as being assigned post-care coordinator.

Eventually, there will be new kinds of data that can be put in mineable formats and linked to electronic patient records, from patient satisfaction surveys and doctors’ clinical notes to imaging data from MRI scans, Dudley says.

Right now, for example, the growing volumes of data generated from people’s fitness and health trackers is interesting on the surface, but it’s hard to glean anything meaningful for individuals. But when the data from thousands of people are mined for signals and links to health outcomes, Dudley says, it’s likely to prove valuable in understanding new ways to prevent disease or detect it at the earliest signs.

A major limitation to this vision is the hospital’s access to all of these new kinds of data. There are strict federal laws that govern patient privacy, which can make doctors loathe to experiment with ways to gather it or unleash it. And there are many hoops today to transferring patient data from one hospital or doctor to another, let alone from all the fitness trackers floating around. If patients start demanding more control over their own health data and voluntarily provide it to doctors, as Dudley believes patients will start to do, privacy could become a concern in ways people don’t expect or foresee today–just as it has on the Internet.

One thing is clear: As the health care system comes under pressure to cut costs and implement more preventative care, these ideas will become more relevant. Says Dudley: “A lot of people do research on computers, but I think what we’re hoping for is that we’re going to build a health care system where complex models … are firing on an almost day-to-day basis. As patients are getting information about them put in the electronic medical record system there will be this engine in the background.”

 

JESSICA LEBER

Clinical analytics delivering results…

Two excellent factoids in support of clinical analytics:
1. Kaiser Permanente: “Today you have a 26% lower chance of dying in one of our hospitals than you do in other hospitals,” said Dr. Mattison, adding that Kaiser is starting to lower its mortality rate much faster than the national average. “A lot of this is directly rated to how we use data and integrate data,” he said.
2. University of Pittsburgh Medical Center has slashed readmission rates by 37% since it began using analytics to predict which patients were more likely to be readmitted to the hospital within 30 days.
The source WSJ posts are paywalled, but UPMC are using the Microsoft solution I was working on. Interestingly, it only requires administrative data to deliver its impact.
In discussions with WentWest Medicare Local, they have access to GP data and hospital data, which would start to fillout the picture in an amazing way…

Wednesday, December 11, 2013

There Is A Real Sting In The Tail In These Great Reported Results From The Use Of Analytics In Healthcare.

Two very interesting reports appeared a week or two ago.
December 5, 2013, 7:12 PM ET

Data Helps Drive Lower Mortality Rate at Kaiser

REDWOOD CITY, CALIF. — Kaiser Permanente’s use of data analytics is helping it lower hospital mortality rates and look for ways to diagnose illnesses earlier. John Mattison, chief medical information officer at Kaiser spoke, Thursday, at VentureBeat’s Data Science Summit in Silicon Valley. Dr. Mattison predicts that by the year 2020, ten times more medical research will be generated by analyzing vast quantities of medical data than by conventional models of clinical research.
Over the past several years, Kaiser Permanente’s hospitals in southern California – the region with the most members — have enjoyed a lower mortality rate than the national average, according to data from the Centers for Medicare and Medicaid Services. “Today you have a 26% lower chance of dying in one of our hospitals than you do in other hospitals,” said Dr. Mattison, adding that Kaiser is starting to lower its mortality rate much faster than the national average. “A lot of this is directly rated to how we use data and integrate data,” he said.
Kaiser Permanente has some advantages in data collection over other medical providers because it provides physician, hospital and pharmacy services as well as health insurance to patients. All of those records are electronic. When a patient visits a Kaiser hospital, their entire health record, including doctor visits and medications, is immediately available. Kaiser can easily track patient outcomes after hospital procedures because patients see their doctors within the Kaiser system for follow-up visits. It’s a closed loop and all of that information resides in one place.
The informatics department at Kaiser, which is growing, looks at medical studies as well as information from its anonymized pool of information about patient outcomes to make implementable recommendations that it sends to physicians and hospitals through information alerts. One of the most high profile examples of this happened about a decade ago when Kaiser looked at its database of 1.4 million members and discovered that patients who took Vioxx were more likely to suffer a heart attack or sudden cardiac death than those who took a competing medication. Physicians were resistant to these alerts in the early years but the culture has changed and the informatics department continues to get requests for more of these alerts, said Dr. Mattison.
More here:
We also had this appear on the very same day.
December 5, 2013, 10:32 AM ET

Analytics Helps UPMC Slash Readmission Rates

University of Pittsburgh Medical Center has slashed readmission rates by 37% since it began using analytics to predict which patients were more likely to be readmitted to the hospital within 30 days.
That represents considerable savings for the hospital in terms of providing urgent care, let alone saving the hospital from potential penalties levied by the Centers for Medicare and Medicaid Services for failing to lower those rates.
The trouble for most hospitals is that they’re geared up for the “average patient,” whereas no one is actually an average patient. The role of analytics at UPMC is to determine most precisely which course of treatment will be most effective for each individual.
“Analytics helps you determine who you should focus on,” said Dr. Pamela Peele, chief analytics officer for the UPMC Insurance Services Division during a visit to CIO Journal offices.
According to Dr. Peele, the factors that hospitals should pay attention to are “jaw-dropping.” Far from the actual health of the patient, those factors have to do with how patients used care in the past – what services they’ve received over time and whether the use of the services has been “lumpy or smooth” over time.
Lots more here:
What we have here are very positive reports of the value of analytics in improving hospital and health system performance at the level of the most important measure – improved clinical outcomes.
The sting in the tail is that both the organisations involved are very strategic users of Health IT and have been evolving and improving their Health IT infrastructures over decades. They also have integrated environments where EHR data from both hospitals and ambulatory systems is easily accessible as well as the billing / insurance information and all that can be used for analysis.
For Australian Hospitals they have no access to the GP records and Medicare Payment records – so it now becomes very tricky to obtain such benefits.
It is really only those organisations that hold relevant ambulatory, hospital and insurance information which is easily accessible, and that also have a very advanced IT infrastructure that can replicate this. I wonder are the gurus and NEHTA and DoH working out how these sorts of benefits can be replicated in Australia or is the plan to mine the PCEHR to do a very second best effort?
Time will tell I guess.
David.