Alicia Caramenico, FierceHealthcare
“Hospitals are coming under fire for using private health and financial records to target affluent or privately insured patients, according to Kaiser Health News and USA Today.
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Marla Durben Hirsch, FierceEMR
“With cloud-based electronic health record systems becoming more popular, providers should carefully read their vendor contracts regarding their rights and use of their patients’ data, according to American Medical News.
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Pamela Lewis Dolan, amednews
“A contract stating that a practice owns the patient data entered and stored on a Web-based electronic medical record may not guarantee that the practice can control how the data are used or accessed.
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Carl Natale, ICD10 Watch
“One of the persistent arguments arguments against ICD-10 coding is that it will have no effect on patient care.
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aerzteblatt.de
“Daten aus elektronischen Patientenakten (EPAs) für die klinische Forschung soll bis 2014 eine gemeinsame europaweite Technologieplattform nutzbar machen. Partner aus akademischer Forschung und Industrie bauen diese gerade im Rahmen des Projektes „Electronic Health Records for Clinical Research” (EHR4CR) auf.
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David B. Agus, Wall Street Journal
“Take a moment to imagine what it would be like to live robustly to the ripe old age of 100 or more. You wouldn’t die of any particular illness, and you wouldn’t gradually waste away under the spell of some awful, enfeebling disease that began years or decades earlier.
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Carl Natale, ICD10 Watch
“The vigorous opposition to ICD-10 is really annoying. Not because I advocate incredibly specific medical codes, costly system upgrades and loss of medical coder productivity.
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Don Fluckinger, Health IT Pulse
“This time, House, M.D. fans, it was lupus. The article “Evidence-Based Medicine in the EMR Era” published in the Nov. 10 issue of the New England Journal of Medicine might have read like a House television script, but it was a real-life glimpse of what the most optimistic health IT advocates are hoping will become commonplace in U.S. health care: Mining EHR data to arrive at treatment decisions.
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Neil Savage, Technology Review
“The antidepressant Paxil was approved for sale in 1992, the cholesterol-lowering drug Pravachol in 1996. Company studies proved that each drug, on its own, works and is safe. But what about when they are taken together?
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Barbara Toman, Discovery's Edge
“When President Barack Obama cites Mayo Clinic as a model healthcare provider, he praises its “smart” practices that offer patients the best possible care at below-normal cost. Mayo’s expertise in treating disease is well-known. But the presidential accolades underscore Mayo’s pioneer work in an emerging science of healthcare delivery.
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Chattopadhyay S et al, Health and Technology, 1(1)
The World Health Organization (WHO) uses a large number of health predicators to measure a country’s overall health status. Among many, Infant Mortality Rate (IMR) is considered to be one important. Current literature describes the importance of these predictors in a much segregated manner. Also, its interrelationships are underexplored. This paper describes a framework for mining the hidden relationships of some predictors, such as (i) Population Annual Growth Rate (PAG), (ii) Total Fertility Rate (TFR), (iii) General Government Expenditure (GGE), (iv) Social Security Expenditure (SSE), (v) Total Expenditure on Health (THE), (vi) Access of Drinking Water (ADW), and (vii) Access to Basic Sanitation (ABS) with IMR with the help of Quantitative Association Rule (QAR) mining technique.
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John Cushman, Solany
“It seems the buzz this month is around The Office of the National Coordinator for Health Information Technology, or ONC, and it’s push for data standards. More specifically, metadata and its importance to Health Information Exchange, Electronic Medical Records, and possibly insight into stage 2 meaningful use regulations.
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Stacey Higginbotham, GigaOM
“While it is fashionable to focus on data, one has to remember that what matters is what you can do with the data and how it can help grow a business. That is the rallying cry in the web world from Twitter to Facebook but also in an unexpected place – a Seattle hospital.
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Neil Versel, InformationWeek
“Mining a federal database has revealed a previously unknown, potentially harmful interaction between two commonly prescribed drugs that could affect as many as 1 million people in the United States. And the increasing usage of electronic medical records (EMRs) could make it far easier to identify such adverse drug effects in the future.
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Ken Terry, InformationWeek
“Using a Beacon grant provided by the Office of the National Coordinator of Health IT, the Mayo Clinic is building what may be the next generation of health information exchanges (HIE) with a group of healthcare providers in southeast Minnesota. In this real-world demonstration, Mayo will apply the computer tools it is developing through a federal SHARP grant to create new methods of mining electronic health record (EHR) data.
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Janice Simmons, FierceEMR
“Investigators with the Mayo Clinic in Rochester, Minn., are close to completing a suite of computing tools that can be used to sort and identify digital health information from all types of electronic medical records (EMRs)–regardless of the file formats or types of data organizations.
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Hampton T. JAMA, 306(2)
Up to 1 million patients in the United States may be taking 2 medications that can lead to unexpected increases in blood glucose levels when used simultaneously. Data mining techniques have revealed that the combination of the antidepressant paroxetine and the cholesterol-lowering medication pravastatin may cause this adverse effect (Tatonetti NP et al. Clin Pharmacol Ther. doi: 10.1038/clpt.2011.83 [published online ahead of print May 25, 2011]).
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Kamel Boulos MN et al, Computer Methods and Programs in Biomedicine,100(1)
This paper explores Technosocial Predictive Analytics (TPA) and related methods for Web “data mining” where users’ posts and queries are garnered from Social Web (”Web 2.0″) tools such as blogs, micro-blogging and social networking sites to form coherent representations of real-time health events.
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“The phenomenal growth of social media has created an unprecedented communication vehicle. Twitter alone allows millions of social media fans to comment in 140 characters or less on just about anything.
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BBC News
“Two John Hopkins University computer scientists studied 1.5 million health-related tweets between May 2009 and October 2010.
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