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Editorials
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Assessing Automated Extraction of Prognostic Information for Intensive Care Unit Patients
Mayo Clinic ProceedingsVol. 87Issue 9p811–813Published in issue: September, 2012- Marc D. Silverstein
Cited in Scopus: 1In the current issue of Mayo Clinic Proceedings, Singh et al1 report the feasibility of using an automated digital algorithm to extract prognostic information from electronic medical records (EMRs). Electronic medical records are currently widely used in the hospital inpatient setting and are increasingly being adopted in the office setting,2 possibly in part due to the potential financial incentives in the 2009 Health Information Technology for Economic and Clinical Health Act.3 Electronic medical records are expected to increase the transparency and efficiency of patient care, improve the ability to study health care delivery, and improve individual health outcomes and population health.
