TY - JOUR
T1 - Quality Dashboards
T2 - technical and architectural considerations of an actionable reporting tool for population management.
AU - Olsha-Yehiav, Maya
AU - Einbinder, Jonathan S.
AU - Jung, Eunice
AU - Linder, Jeffrey A.
AU - Greim, Julie
AU - Li, Q.
AU - Schnipper, Jeffrey L.
AU - Middleton, Blackford
PY - 2006
Y1 - 2006
N2 - Quality Dashboards (QD) is a condition-specific, actionable web-based application for quality reporting and population management that is integrated into the Electronic Health Record (EHR). Using server-based graphic web controls in a .Net environment to construct Quality Dashboards allows customization of the reporting tool without the need to rely on commercial business intelligence tool. Quality Dashboards will improve patient care and quality outcomes as clinicians utilize the reporting tool for population management.
AB - Quality Dashboards (QD) is a condition-specific, actionable web-based application for quality reporting and population management that is integrated into the Electronic Health Record (EHR). Using server-based graphic web controls in a .Net environment to construct Quality Dashboards allows customization of the reporting tool without the need to rely on commercial business intelligence tool. Quality Dashboards will improve patient care and quality outcomes as clinicians utilize the reporting tool for population management.
UR - http://www.scopus.com/inward/record.url?scp=34748867726&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34748867726&partnerID=8YFLogxK
M3 - Article
C2 - 17238671
AN - SCOPUS:34748867726
SN - 1559-4076
SP - 1052
JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
ER -