It's hard (for me, at least) not to click on the headline "Up to half of Spanish-translated prescriptions include dangerous mistakes" as a May 12 Fierce Healthcare post declared. The post cited a recent Pediatrics study that found that translation programs used by pharmacies to create Spanish-language instructions for patients were deeply flawed.
The Pediatrics study evaluated Spanish medicine labels from 209 pharmacies in the Bronx, New York; most of the pharmacies used computer programs to translate instructions for patients from English into Spanish. Half of the the translated labels used a mixture of Spanish and English, or had grammatical or spelling mistakes, resulting in "inconsistent and potentially hazardous" translations, according to the authors.
"Phrases that were not translated included 'dropperfuls,' 'apply topically,' 'for 7 days,' 'for 30 days,' 'apply to affected areas,' with juice,' 'take with food,' and 'once a day,'" the Pediatrics study's authors wrote. Mistranslated phrases included the substitution of "eleven times a day" for the phrase "once a day."
The move toward e-prescribing, electronic medical records, and other technological advances is supposed to make the practice of medicine safer and cheaper. The famous 1999 Institute of Medicine report, "To Err is Human: Building a Safer Health System" which found that up to 100,000 people die in hospitals each year from medical errors, helped shift the needle toward more standardization and digitization of medicine.
The Centers for Medicare and Medicaid (CMS) encourages the adoption of electronic medical records (EMR) and will soon provide financial incentives to health care providers who adopt them. In February, FierceHealthIT pointed out that "a healthy $20 billion in IT spending [from the stimulus bill]... will largely be funneled through CMS to provide incentives for EMR adoption."
All good, if you support health care reform and patient safety. But throwing technology at problems has its limitations, as the Pediatrics study makes clear. The study's authors suggested more regulation of and funding for better translation programs. Meanwhile, other unresolved IT issues, such as ensuring the electronic security of patients' health information, will continue to pose challenges for health IT for a long time to come.
Showing posts with label EMR. Show all posts
Showing posts with label EMR. Show all posts
Saturday, May 15, 2010
Monday, November 17, 2008
Google Flu Data Rivals CDC
Last week, internet search giant Google released the Google Flu Trends tool, which tracks possible flu outbreaks by compiling data on how often people use flu-related search terms such as "flu symptoms" and "chest congestion". Google Flu Trends provides raw data, but not context. Each year, close to 100 million Americans search for health information online, but not everyone who searches for health information is injured or ill. Since I write about medicine, for example, I usually search for health information online for my writing projects, not personal knowledge. Other searches, it seems, might be done out of idle curiosity, or even result from a keystroke error in the search bar.
Is Google Flu Trends just another odd little Google project that their employees tinker with at the Googleplex in Mountain View in between running the search engine and scanning in every book ever written? Apparently not. Google mapped five years' worth of their flu data against flu data from the Centers for Disease Control and Prevention (CDC), which the agency compiles from health care providers, emergency room visit statistics, and other sources. Data from Google correlated closely with CDC data, often predicting flu outbreaks a week or two before the CDC. Google will soon publish a paper on its methodology in an upcoming issue of Nature.
Health care researchers already search for trends in anonymized electronic medical records (EMRs) that some practices use to record patient medical data and prescriptions. More digital data will become available in the future as EMRs become more common (especially since the federal government is providing financial incentives for Medicare providers to adopt e-prescribing, starting in 2009) .
For various reasons, however, many patients are not entirely honest with their doctors about their symptoms and medical concerns, a problem health care providers have struggled with for years. A patient might be embarrassed about a medical problem, forget to mention a symptom, or simply not realize that a symptom is significant. For this reason, search engine data might provide an even larger, and potentially more accurate, data pool than EMRs to indicate the actual incidence of conditions such as pre-diabetes or early heart disease, for example. Public health officials could then use the data to create more effective screening and prevention campaigns.
Is Google Flu Trends just another odd little Google project that their employees tinker with at the Googleplex in Mountain View in between running the search engine and scanning in every book ever written? Apparently not. Google mapped five years' worth of their flu data against flu data from the Centers for Disease Control and Prevention (CDC), which the agency compiles from health care providers, emergency room visit statistics, and other sources. Data from Google correlated closely with CDC data, often predicting flu outbreaks a week or two before the CDC. Google will soon publish a paper on its methodology in an upcoming issue of Nature.
Health care researchers already search for trends in anonymized electronic medical records (EMRs) that some practices use to record patient medical data and prescriptions. More digital data will become available in the future as EMRs become more common (especially since the federal government is providing financial incentives for Medicare providers to adopt e-prescribing, starting in 2009) .
For various reasons, however, many patients are not entirely honest with their doctors about their symptoms and medical concerns, a problem health care providers have struggled with for years. A patient might be embarrassed about a medical problem, forget to mention a symptom, or simply not realize that a symptom is significant. For this reason, search engine data might provide an even larger, and potentially more accurate, data pool than EMRs to indicate the actual incidence of conditions such as pre-diabetes or early heart disease, for example. Public health officials could then use the data to create more effective screening and prevention campaigns.
Thursday, May 8, 2008
The VA and Soldier Suicides
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