Automatic population of eMeasurements from EHR systems for inpatient falls.

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Bibliographic Details
Title: Automatic population of eMeasurements from EHR systems for inpatient falls.
Authors: Cho I; Nursing Department, Inha University, Incheon, Republic of Korea.; The Center for Patient Safety Research and Practice, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, 02120, USA., Boo EH; Department of Nursing, National Health Insurance Service Ilsan Hospital, 100 Ilsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do, Republic of Korea, 10444., Lee SY; Nursing Department, Inha University, Incheon, Republic of Korea.; Department of Nursing, Inha University Hospital, 27 Inhang-Ro, Jung-gu, Incheon, Republic of Korea, 22332., Dykes PC; The Center for Patient Safety Research and Practice, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, 02120, USA.; Harvard Medical School, Boston, MA, 02115, USA.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2018 Jun 01; Vol. 25 (6), pp. 730-738.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1527-974X
DOI:10.1093/jamia/ocy018