The IRE Resource Center is a major research library containing more than 23,250 investigative stories — both print and broadcast. Add to that more than 3,000 tipsheets from our national conferences on how to cover specific beats or do specific stories and you have a resource that no reporter or editor should be without. These stories and tipsheets are searchable online or by contacting the Resource Center directly (573-882-3364 or rescntr@ire.org) where a researcher can help you pinpoint what you need. Browse or search the tipsheet section of our library below. Logged-in members can view the tipsheets free online:
Search results for "adverse event databases" ...
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Health Care Survival Guide: Investigating America's Hospitals
Berens tipsheet addresses how to cover the health & science beat. He begins by stressing the 3 F's: "follow the paper; find the expert; and ferret out the research." Berens gives a list of basic public records pertinent to the beat; available databases; and "real world advice" based on his own experience covering health and science.
Tags: health; science; FOIA; medical research; medicine; hospitals; adverse event reporting; MAUDE; Manufacterer and User Facility Device Experience; Excluded Individuals Database
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Quick Hit Science and Health Ideas
Fallik gives 10 quick hit ideas for science and health care stories. Each idea can yield a quick and impressive story, with the potential of a more involved, deeper story.
Tags: health; science; patents; medical boards; adverse event databases; inspections; 990s
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Peeking Behind the White Curtain
Dolan lists and explains a number of Web sites and databases valuable to reporters covering health care or the health beat
Tags: health care; health; medical boards; physician; medical license; civil court; databases; data; Adverse Event Reports; public records; investigative reporting
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Drug data: Key data sources on prescription drug sales and marketing
Adams lists sources of pharmaceutical data that include the National Ambulatory Medical Care Survey as well as data from the FDA. The background, data description and pitfalls are described for each dataset.
Tags: CAR; pharmaceuticals; health care; data; database; hospitals; National Ambulatory Medical Care Survey; prescriptions; drugs; FDA; FDA adverse event data