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October 09, 2013

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IBM wants to use big data to predict heart disease long before it strikes

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HIM Frontlines: Practical Implications of Informatics

HIM Frontlines: Practical Implications of Informatics Jul 25, 2014 07:00 am | posted by Mary Butler | Data quality In this web series, HIM professionals working in emerging roles give advice on tackling difficult HIM problems. For decades, most consumers relied on one physician for all of their healthcare needs—their primary care physician—and that one physician knew the patient’s entire health history and documented it in one place. This paradigm is starting to change, says Anupam Goel, MD, MBA, an internist with a board certification in healthcare informatics. The healthcare system has “shifted to an increasingly specialized place where physicians have to consult with others and share information about a patient over the course of days, minutes, or months,” Goel says. Because of this shift, it’s important to share information in such a way that the recipient can then synthesize the summary of a patient’s care, as well ...

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Interview Tips!

Here are some tips to help you connect with those you are interviewing with. G.R.A.S.P. G-reet: Ever heard this one? You never get a second chance to make a first impression. Remember to greet every person warmly with a smile, firm handshake and eye contact. Don’t forget to acknowledge people who you pass in hallways with a smile and eye contact. Particularly, executive’s assistants and environmental services staff. R-apport: Build rapport by finding things you have in common with those you are interviewing. Common conferences, schools, hobbies, sports etc. Finding things you have in common with the people interviewing you will not only help you get the job, but will help you start out the job on the right foot! A-sk: Be prepared with questions that demonstrate your knowledge and show you have done your research. Additionally, ask questions in a “company/community centric” manner. Example: “If I am selected for this position and am successful, where will it lead ...

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IBM wants to use big data to predict heart disease long before it strikes

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