Ottawa / Austin / Boston / Framingham / Toronto / /
Company
EvidenceBased Medicine Working Group / /
Country
United States / Canada / /
Currency
CHF / USD / / /
Facility
Canada Ottawa Hospital Research Institute / University Health Network / SAS Institute / University of Toronto / Hospital Morbidity Data / Canadian Institute / / /
IndustryTerm
data algorithms / suitable algorithm / health care services / validated administrative data algorithm / family physician services / surveillance tool / Diabetes Care / data-based algorithm / /
Introduction Hospital / University of Toronto / Toronto / Public Health Agency of Canada / Canada Ottawa Hospital Research Institute / Ontario Health Technology Advisory Committee / Institute for Clinical Evaluative Sciences / SAS Institute / Canada Department of Family and Community Medicine / New York Heart Association / Ministry of Health / Canadian Institute for Health Information / Institute for Clinical Evaluative Sciences G1-06 / /
Person
K. Tu / Z. Chen / Karen Tu / / /
Position
general practitioner / family physician / care physician / physician / it may not be recorded / Privacy Commissioner / physician / participating physician / Practice SolutionsH Electronic Medical Author / OHIP physician / /
ProvinceOrState
Western Australia / Ontario / /
PublishedMedium
Open Medicine / /
Region
Western Australia / /
Technology
9 algorithms / tomography / data-based algorithm / data algorithms / Ontario Health Technology / nine algorithms / data Algorithm / /
Identifying cases of congestive heart failure from administrative data: a validation study using primary care patient records S. E. Schultz, MA, MSc (1); D. M. Rothwell, MSc (2); Z. Chen, MD (1); K. Tu, MD (1, 3, 4) This