Category Archives: facts & data points

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.”

Good data points on health spending

 

Via David More’s blog…

Source: http://www.abc.net.au/technology/articles/2013/09/19/3852140.htm

Full article: ABC Feature Telehealth_ The healthcare and aged care revolution

Australia’s ballooning health spend

According to the Australian Institute of Health and Welfare, the country spent over $121bn on healthcare between 2009-10. The following year it surpassed $130bn and it’s been rising at six per cent each year – twice the growth rate of GDP.

Healthcare expenditure currently makes up 10 per cent of GDP but analysts Mark Dougan from Frost and Sullivan says that, “At the current rate, in perhaps about ten years or so, it will hit 15 per cent of GDP – mostly from public sources.” He points out that this growth rate is “unsustainable.”

According to South Australia Health’s October 2012 report:

At the time we released the 2007 South Australian Health Care Plan, if SA Health had continued spending at the same rate, then by 2032 the entire State budget will be consumed by Health alone. Our efforts to reduce growth in demand has now pushed this back to 2038. Slowing the growth in demand, however, must be accompanied by providing more efficient services in order to deliver a balanced budget…

Peter Croft from Allocate (healthcare) Software adds, “Most State governments have identified a point in the future where the growth in funding for health is going to consume the entire state budget.”

The problem is that improvements have to come from efficiency gains and not spending cuts. As Stephen Duckett and Cassie McGannon said recently in The Conversation:

Reducing health spending growth will not be easy. As Grattan’s Game-changers report last year showed, Australia already has one of the OECD’s most efficient health systems, in terms of life expectancy achieved for dollars spent. Sweeping cuts to health funding, or shifting costs to consumers, could have serious consequences. Blunt cost-cutting risks reducing health and well-being, and could ultimately lead to higher government costs due to illness, increased health-care needs and lower workforce participation.

What do we spend the money on?

The Australian Institute of Health and Welfare published the following:

On an average day in Australia…

  • 342,000 people visit a GP
  • 6,800 people are transported by ambulance; a further 900 are treated but not transported
  • 71,000 km are flown by the Royal Flying Doctor Service and 107 evacuations performed
  • 23,000 people are admitted to hospital (including 5,000 for an elective surgery)
  • 17,000 people visit an emergency department at larger public hospitals

So how much does do these things cost?

Hospital Stays

The Conversation points out:

“The biggest and fastest-growing spending category in health is hospitals – they get almost $18 billion in real terms more than in 2002-03, an increase of over 95%.”

Feros Healthcare puts the cost at $967 per patient per night.


Source: Feros Healthcare

Around 11.8 per cent of all people (2.6 million) had been admitted to hospital in the last 12 months (Source: Australian Bureau of Statistics).

Nationally, the average stay is six nights (see diagram)


Source: South Australia’s Health’s Response Oct 2012

So the annual cost of Australian hospital stays is roughly:-

2.6 million Admissions x 6 nights x $967 per night = $15.1bn each year.

Many telehealth proponents state that most of the people in hospitals are there to primarily be monitored. If that is the case, with a reliable internet connection, a number of those patients could be monitored from home (where they’ll recuperate quicker) and that would reduce the cost to less than $10 per day while freeing up beds for other people. In this instance, a hypothetical reduction of just 10% would be worth over $1.5bn per annum on its own.

However, the matter is not undisputed with some doctors adamant that the vast majority of patients that are being monitored in hospital are there because they still require hospital care. There are certainly many anecdotal examples of long-term hospital residents who could be monitored from home. However, the limited available figures don’t highlight their numbers as significant. This report from 2006-07 lists the main reasons for which patients were hospitalised (along with the costs of doing so). Many conditions don’t lend themselves to home monitoring.

In the spirit of open journalism, if you have any relevant personal experiences on this matter, please leave them in the comments below.

A behavioural economist’s view on obesity…

This is a typically obtuse, academic view of obesity, breathlessly attempting to cite the immense complexity of the disease, capping it with a plea for more research dollars, or at least a reallocation of research dollars.

There are a couple of interesting snippets:

  • pets are also getting obese – 58.3% of cats were obese in 2012
  • lab animals too are getting obese – 11.8% per decade from 1982 to 2003
  • is this due to antibiotic-mediated changes to gut bacteria that not just change how we digest, but also how we behave?
  • socially mediated effects?

So surprising that a behavioral economist’s view could be so dismal.

 

Source: http://www.nytimes.com/2013/11/10/business/the-co-villains-behind-obesitys-rise.html?_r=2&

The Co-Villains Behind Obesity’s Rise

Waltraud Grubitzsch/European Pressphoto Agency

Researchers have compared tissue samples from obese mice with those of normal mice to try to determine which behavioral or biological factors might cause humans to gain weight. Here, a 2012 experiment in Leipzig, Germany.

By SENDHIL MULLAINATHAN
Published: November 9, 2013

Why is obesity soaring? The answer seems pretty clear. In 1955, a standard soda at McDonald’s was only seven ounces. Today, a medium is three times as large, and even a child’s-size version is 12 ounces. It’s a widely held view that obesity is a consequence of our behaviors, and that behavioral economics thus plays a central role in understanding it — with markets, preferences and choices taking center stage. As a behavioral economist, I subscribed to that view — until recently, when I began to question my thinking.

For many health problems, of course, behavior plays some role but biology is often a major villain. “Biology” here is my catchall term for the myriad bodily mechanics that are only weakly connected to our choices. A few studies have led me to wonder whether the same is true with obesity. Have I been the proverbial owner of a (behavioral) hammer, looking for (behavioral) nails everywhere? Have I failed to appreciate the role of biology?

A first warning sign comes from looking at other animals. Our pets have been getting fatter along with us. In 2012, some 58.3 percent of cats were, literally, fat cats. That is taken from a survey by the Association for Pet Obesity Prevention. (The very existence of this organization is telling.) Pet obesity, however, can easily be tied to human behavior: a culture that eats more probably feeds its animals more, too.

And yet, a study by a group of biostatisticians in the Proceedings of the Royal Society challenges this interpretation. They collected data from animals raised in captivity: macaques, marmosets, chimpanzees, vervets, lab rats and mice. The data came from labs and centers and spanned several decades. These captive animals are also becoming fatter: weight gain for female lab mice, for example, came out to 11.8 percent a decade from 1982 to 2003.

But this weight gain is harder to explain. Captive animals are fed carefully controlled diets, which the researchers argue have not changed for decades. Animal obesity cannot be explained through eating behavior alone. We must look to some other — biological — driver.

Fittingly, the study is titled “Canaries in the Coal Mine.” Could our inability to explain animal obesity with behavior be a warning sign? Perhaps we are also overlooking biological drivers for human obesity. But what might these culprits be?

A particularly interesting candidate resides in your gut. Your digestive system is actually a complex ecosystem, playing host to hundreds of species of bacteria that do things as diverse as fermenting undigestedcarbohydrates and providing vitamins. They also regulate how much fat your body stores.

Not everyone, however, has the same gut bacteria. And, interestingly, the composition of this bacteria correlates with obesity. Of course, this relationship could be simple: the obese eat differently, and therefore they have different bacteria.

But a recent study in the journal Science showed that cause and effect could go the other way as well. Researchers harvested bacteria from pairs of human twins, where one twin was obese and the other was not. Then they transplanted these bacteria into mice. The mice who received bacteria from the obese twin gained weight, while the others did not. The mice did not eat more: Their metabolism changed so that they put on more weight even with the same caloric input.

What, then, determines your gut bacteria? It could be antibiotics or environmental toxins or how processed your food is. Another possibility is raised by a study in The New England Journal of Medicine that shows that obesity seems to “spread” across social networks, with people infecting their friends and neighbors. I had always assumed that was because birds of a feather flock together — and that is surely part of the explanation. But because gut bacteria can also spread among people in close proximity, perhaps the obesity epidemic really is, well, an epidemic?

I’m not arguing that behavior does not matter. Biology and behavior often interact; the spread of flu depends on whether we wash our hands. Similarly, the bacteria study found that the “obese gut bacteria” had an impact only when the mice were fed diets heavy in saturated fats.

Perhaps most interestingly, changing biology may even be changing cravings. Some biologists have hypothesized that our gut bacteria actually drive cravings for certain unhealthy foods. A focus on biology doesn’t mean a reduced emphasis on behavior, just a richer understanding of it.

These and other studies raise important possibilities, which deserve more research and attention. At the very least, we should invest as many obesity research dollars in uncovering and understanding these biological channels as we do in understanding behavioral channels. And this is a behavioral economist talking!

After all, this could radically change the way we think about policies to curb obesity. As one newspaper editorial pronounced:

“A little town in Sweden has put a local tax on fat men. It is declared that ‘the fat man stands accused by the very fact of his too solid flesh’ (vide “Hamlet”) ‘of gluttony and laziness.’ Millions of fat men throughout the world may rise up and denounce as liars the town councillor who drew up this cruel indictment and those who voted for it, but the gentler way of reproving them would be to point out the tritely recognised danger of generalisation in almost any statement of supposed fact. Not all fat men are lazy and gluttonous. Obesity is in many a congenital habit of body; in others a disease.”

That editorial was written in 1923, for the paper known as The Paris Herald. Maybe the writer was on to something.

SENDHIL MULLAINATHAN is a professor of economics at Harvard.

This article has been revised to reflect the following correction:

Correction: November 17, 2013

Because of an editing error, the Economic View column last Sunday, about possible causes of obesity, misstated the source of bacteria that were transplanted into mice as part of an obesity study. The bacteria came from human twins, not from other mice.

 

A version of this article appears in print on November 10, 2013, on page BU6 of the New York edition with the headline: The Co-Villains Behind Obesity’s Rise.

Preventing medical error

  • diagnostic errors are the most preventable medical mistakes
  • Automation is part of the solution – sifting through medical records to look for potential bad calls, or to prompt doctors to follow up on red-flag test results.
  • Another component is devices and tests that help doctors identify diseases and conditions more accurately
  • online services that give doctors suggestions when they aren’t sure what they’re dealing with
  • changing medical culture is another approach

Source: http://online.wsj.com/news/articles/SB10001424052702304402104579151232421802264

The Biggest Mistake Doctors Make

Misdiagnoses are harmful and costly. But they’re often preventable

A patient with abdominal pain dies from a ruptured appendix after a doctor fails to do a complete physical exam. A biopsy comes back positive for prostate cancer, but no one follows up when the lab result gets misplaced. A child’s fever and rash are diagnosed as a viral illness, but they turn out to be a much more serious case of bacterial meningitis.

Such devastating errors lead to permanent damage or death for as many as 160,000 patients each year, according to researchers at Johns Hopkins University. Not only are diagnostic problems more common than other medical mistakes—and more likely to harm patients—but they’re also the leading cause of malpractice claims, accounting for 35% of nearly $39 billion in payouts in the U.S. from 1986 to 2010, measured in 2011 dollars, according to Johns Hopkins.

The good news is that diagnostic errors are more likely to be preventable than other medical mistakes. And now health-care providers are turning to a number of innovative strategies to fix the complex web of errors, biases and oversights that stymie the quest for the right diagnosis.

Part of the solution is automation—using computers to sift through medical records to look for potential bad calls, or to prompt doctors to follow up on red-flag test results. Another component is devices and tests that help doctors identify diseases and conditions more accurately, and online services that give doctors suggestions when they aren’t sure what they’re dealing with.

twisted_stethescope

Finally, there’s a push to change the very culture of medicine. Doctors are being trained not to latch onto one diagnosis and stick with it no matter what. Instead, they’re being taught to keep an open mind when confronted with conflicting evidence and opinion.

“Diagnostic error is probably the biggest patient-safety issue we face in health care, and it is finally getting on the radar of the patient quality and safety movement,” says Mark Graber, a longtime Veterans Administration physician and a fellow at the nonprofit research group RTI International.

Big Efforts Under Way

The effort will get a big boost under the new health-care law, which requires multiple providers to coordinate care—and help prevent key information like test results from slipping through the cracks and make sure that patients follow through with referrals to specialists.

There are other large-scale efforts in the works. The Institute of Medicine, a federal advisory body, has agreed to undertake a $1 million study of the impact of diagnostic errors on health care in the U.S.

In addition, the Society to Improve Diagnosis in Medicine, which Dr. Graber founded two years ago, is working with health-care accreditation groups and safety organizations to develop methods to identify and measure diagnostic errors, which often aren’t revealed unless there is a lawsuit. In addition, it’s developing a medical-school curriculum to help trainees improve diagnostic skills and assess their competency.

 

Robert Wachter, associate chairman of the department of medicine at the University of California, San Francisco, says defining and measuring diagnostic errors is an important step. “Right now, none of the incentives for improvement in health care are based on whether the doctor made the correct diagnosis,” Dr. Wachter says. But equally important, he adds, “we need to nurture bottom-up innovation.”

That’s already happening. Large health-care systems are mining their electronic records for missed signals. At the Southern California Permanente Medical Group, part of managed-care giant Kaiser Permanente, a “Safety Net” program periodically surveys its database of 3.6 million members to catch lab results and other data that might fall through the cracks.

In one of the first uses of the system, a case manager reviewed 8,076 patients with abnormal PSA test results for prostate cancer, and more than 2,200 patients had follow-up biopsies. From 2006 to 2009, 745 cancers were diagnosed among those patients—and Kaiser had no malpractice claims related to missed PSA tests.

The program is also being used to find patients with undiagnosed kidney disease, which is often found via an abnormal test result for creatinine, which should be repeated within 90 days. From 2007 to 2012, the system found 7,218 lab orders placed for patients with an abnormal test that had not been repeated. Of those, 3,465 were repeated within 90 days of a notice to patients that they needed a repeat test, and 1,768 showed abnormal results. The majority, 1,624, turned out to be new cases of the disease.

Michael Kanter, regional medical director of quality and clinical analysis, says the system enables clinicians to go back “as far as is feasible to find all of the errors that we can and fix them.”

Because the disease is slow moving, Dr. Kanter says, people with a five-year-old undiagnosed case may not have been harmed. Likewise, with many early prostate cancers, “in many of these cases it doesn’t mean harm would have reached the patient,” he says. “But we don’t want patients not to have the information they should have had through some kind of lapse in the system.”

Dealing With the Flood

Electronic records aren’t a panacea, of course, and can even lead to information overload. In a survey of Veterans Administration primary-care practitioners reported last March in JAMA Internal Medicine, more than two-thirds reported receiving more patient-care-related alerts than they could effectively manage—making it possible for them to miss abnormal test results.

Some researchers suggest the best solution isn’t to flood doctors with information but to provide a second set of eyes to find things they may have missed.

The focus now is preventing dangerous delays in follow-ups of abnormal test results. In a pilot program, researchers at the Houston VA developed “trigger” queries—a set of rules—to electronically identify medical records of patients with potential delays in prostate and colorectal cancer evaluation and diagnosis. Records included charts that had no documented follow-up for abnormal findings suspicious for cancer after a certain period, according to the research team’s leader, Hardeep Singh, chief of health policy and quality at Michael E. DeBakey VA Medical Center in Houston and an assistant professor of medicine at Baylor College of Medicine.

The queries were run on nearly 600,000 records of patients seen at one VA facility in 2009 and 2010. Dr. Singh says the use of triggers, which helped find abnormal PSA tests and positive fecal occult blood tests, could detect an estimated 1,048 instances of delayed or missed follow-up of abnormal findings annually and 47 high-grade cancers.

The VA has funded a randomized trial to test whether an automated surveillance system of triggers can improve timely diagnosis and follow-up for five common cancers.

“This program is like finding needles in a haystack, and we use information technology to make the haystack smaller and smaller so it’s easier to find the needles,” Dr. Singh says.

More health-care systems are also turning to electronic decision-support programs that help doctors rank possible diagnoses by likelihood based on symptoms and notes in the medical record. In a study of one such system, called Isabel, researchers led by Dr. Graber found that it provided the correct diagnosis 96% of the time when key clinical features from 50 challenging cases reported in the New England Journal of Medicine were entered into the system. The American Board of Internal Medicine is studying how Isabel could be linked to assessments of physician skill and knowledge.

Another system, DXplain, developed at Massachusetts General Hospital in Boston, was shown in a study last year to significantly improve diagnostic accuracy among first-year medical residents.

Edward Hoffer, associate clinical professor at Harvard and senior computer scientist at Mass General who leads the DXplain program, says the aim now is to have DXplain “push” diagnostic suggestions to physicians through an electronic-medical-records system rather than requiring doctors to initiate a query, which some are still reluctant to do. “We have to focus our attention on dealing with situations where doctors think they know what the diagnosis is, but they don’t,” Dr. Hoffer says.

Other Avenues

New devices also hold promise for confirming a diagnosis and avoiding unnecessary tests. A number of companies are rushing to provide aids such as portable diagnostic equipment and lab tests that can analyze tiny samples of blood and other bodily fluids quickly to detect disease.

Consider MelaFind, which came to market in the U.S. in 2011. The device allows dermatologists to noninvasively examine moles as deep as 2.5 millimeters beneath the surface to gauge the level of “disorganization,” an indicator of irregular growth patterns that are a sign of melanoma, among the deadliest cancers.

New York dermatologist Macrene Alexiades-Armenakas says she uses MelaFind to confirm that a mole is to be removed and prioritize the level of disorganization in multiple abnormal moles. In some cases, when another doctor or the patient has been concerned about a mole, MelaFind supported “clinical diagnosis of a benign mole, thereby sparing them a biopsy,” she says.

But such devices will never replace a thorough physical exam with a trained eye and careful follow-up, says Dr. Alexiades-Armenakas: “These diagnostic tools are aids to increase our accuracy and adjuncts to good physical diagnosis, not a substitute.”

Some efforts to cut down on errors take a different route altogether—and try to improve diagnoses by improving communication.

For instance, there’s a push to get patients more engaged in the diagnostic process, by encouraging them to speak up about their symptoms and ask the doctor, “What else could this be?” At Kaiser Permanente, a pilot program provides patients with a pamphlet that encourages them to think about and write down their symptoms and what concerns or fears they have, encouraging them to ask specific questions to be sure they understand their diagnosis and the next steps they must take.

Medical schools, meanwhile, are teaching doctors to be more receptive to patient input and avoid “anchoring,” the habit of focusing on one diagnosis and excluding other possible scenarios, and “premature closure,” not even considering the correct diagnosis as a possibility.

The Critical Thinking program at Dalhousie University in Halifax, Nova Scotia, established last year, aims to help trainees step back and examine how biases may affect their thinking. Developed by Pat Croskerry, a physician known for his research on the role of cognitive error in diagnosis, it uses a list of 50 different types of bias that may lead to diagnostic error.

The program is being integrated throughout four years of the medical school. Students study cases such as a psychiatric patient with shortness of breath who was assumed to be merely having an anxiety attack; doctors overlooked that she was a smoker on birth-control pills, a risk for the blood clot that later traveled to her lung and killed her.

“If we can teach physicians how to think more critically,” Dr. Croskerry says, “they would be more effective in delivering good care and arriving at the right diagnosis.”

Ms. Landro is an assistant managing editor for The Wall Street Journal and writes the paper’s Informed Patient column. She can be reached at laura.landro@wsj.com.

IBM Watson in Healthcare

What makes you sick?

Chronic health conditions impact the lives of billions of people around the world each year.

Chronic illness accounts for approximately 60% of deaths globally each year.

World population: 6.8 billion. 2 billion people worldwide struggle with chronic illnesses like cancer, heart disease and diabetes.

Early and accurate diagnosis has the potential to improve patient success rates, but it can be difficult to establish.

Medical knowledge is growing more quickly than doctors can keep up with.

In the U.S. alone, up to 15% of medical diagnoses are inaccurate or incomplete.

Digitized medicine in North America alone will grow 400% by 2015 —reaching a total of 14,000 terabytes of data, or 7,500 times the data in all U.S. libraries combined.

To give physicians better insight to help improve patient outcomes, WellPoint is pioneering the use of DeepQA technology—otherwise known as IBM Watson—in healthcare.

Imagine a patient describing her symptoms to a physician who has immediate access to Watson through his laptop.

  1. Based on the symptoms described, Watson provides probabilities for five possible diagnoses.
  2. Watson then considers explicitly absent symptoms to reassess these probabilities.
  3. Correlating the symptoms with family and patient histories, Watson is able to refine the hypotheses further.
  4. The process is repeated with a focus on the patient’s current medications.
  5. Final probabilities are determined, and the physician moves on to testing.

Every patient represents a wide spectrum of variables.

Symptoms

  • Fever
  • Dizziness
  • Abdominal pain
  • Back pain
  • Cough

Family history

  • Diabetes
  • Breast cancer
  • Colorectal cancer
  • Coagulation disorders
  • Grave’s Disease

Patient history

  • Hypertension
  • Hyperlipidemia
  • Hypothyroidism
  • Frequent urinary tract infection
  • Smoking

Clinical findings

  • Blood pressure
  • Heart rate
  • Restoration rate
  • Temperature
  • Pain score

Medications

  • Pravastatin
  • – Lasix
  • Aspirin
  • Chemotherapy
  • Antiemetics

Watson: An expert diagnostic system

This groundbreaking system can pore though the equivalent of 200 million pages of medical data and formulate a response in less than 3 seconds, enabling healthcare professionals to make more informed decisions more quickly than ever before.

Natural language processing – Breaks down the communication barrier between humans and computers.

Hypothesis generation – Offers various probabilities rather than attempting a single “right” answer.

Adaptation and learning – Builds knowledge iteratively over time, in much the same way that humans learn.

Correlated patient information

Possible conditions

  • Renal failure
  • UTI
  • Influenza
  • Esophagitis
  • Diabetes
  • Stage 1 lung cancer

WellPoint is using Watson to help physicians become better at what they do — delivering improved care more quickly and confidently than ever before. The potential of Watson doesn’t end there. The same capabilities hold enormous promise for financial services, transportation and more.

Dubai offers gold for fat during Ramadan…

Good for them…

http://news.sky.com/story/1165863/gold-tips-scales-for-dubais-slimmers

Gold Tips Scales For Dubai’s Slimmers

More than £400,000 worth of gold was dished out to contestants in the Your Weight In Gold campaign, aimed at tackling obesity.

Hussain Nasser Lootah (L), Director General of Dubai Municipality, presents Syrian architect Ahmad al-Sheikh (C), 27, with the top award in a competition to shed weight

Ahmad al Sheikh took home 63g of gold after losing the most weight

Dubai dieters have been rewarded with gold for losing weight during the Muslim fasting month of Ramadan.

The Your Weight In Gold campaign gave away £474,000 worth of gold to about 3,000 contestants, who won one gram of gold for every kilogramme shed.

Contestants that lost more than five or 10 kg received a greater proportion of gold per kg.

Ahmad al-Sheikh, a 27-year-old Syrian architect, won the top prize of 63 grams of gold, worth £1,700, after he lost 26 kg.

“I actually registered 15 days later in the campaign and was worried at first, because I thought I lost a head start to all the other contestants,” he said.

He added that support from friends and family helped him achieve his goal.

“My friends and colleagues have also been of immense support when they found out I was trying to lose weight, so now I play football once a week and basketball twice every week as well,” he said.

Nearly 17 kg of gold was given away in the competition as more than 17,000 kg were shed by contestants.

Omar Ahmed al Marri, a public-relations executive from Dubai municipality, told The National that the gold was a key motivator in getting people to participate.

“Nobody tries to be healthy,” he said. “So we thought about how we could make them think about it. We found that you have to give them a gift, to motivate them.

“Most of the people, they first of all thought about the gold. And then afterwards, they thought about what they could do for their body.”

OECD: Health at a Glance 2013

  • one of the highest life expectancies at birth of 82 years (2 years above the average)
  • top five cancer survival rates
  • top five AMI survival rates
  • 8.9% health spend on GDP (OECD average: 9.3%)
  • top three in rates of obesity – 28.3% (US – 36.5%; Mexico – 32.4%; NZ – 28.4%; UK – 24.8%)
  • comparatively high rates of adverse events in hospitals – 8.6 per 100,000 (OECD average – 5)
  • pressure on training pipeline, and eventually, health system financing

Medical Observer Summary:

  • Use of cholesterol-lowering drugs: 1st, 50% above OECD avg
  • Use of antihypertensives: 21st, 30% below OECD average
  • Fatality within 30 days of acute MI: 5th lowest, 60% below OECD avg
  • Use of antidepressants: 2nd, 59% above OECD avg
  • Antibiotic prescribing in primary care: 8th, 17% above OECD avg
  • Pharmaceutical expenditure per capita: 9th, 21% above OECD avg
  • Remuneration of specialists: 3rd, 4.3 ratio to average wage
  • Remuneration of GPs: 18th, 1.7 ratio to average wage

 

AU Media Release (PDF): Health-at-a-Glance-2013-Press-Release-Australia

OECD Report (PDF): Health-at-a-Glance-2013

Charts (PDF): Health-at-a-Glance-2013-Chart-set

OECD Source: http://www.oecd.org/health/health-systems/health-at-a-glance.htm

SMH (PDF): OECD says Australians take too many pills and must tackle nation’s obesity problem