<p> During the past three decades, there has been an abundance of research regarding cardiovascular disease and the pathology responsible for it. The incidence of childhood obesity and dyslipidemia are at the highest in history. Evidence exists demonstrating that arterial changes leading to cardiovascular disease begin in childhood. The National Heart, Lung, and Blood Institute (NHLBI), along with the American Academy of Pediatrics (AAP), issued guidelines in 2011 advocating for the screening of all children for dyslipidemia in order to identify children at-risk for development of cardiovascular disease and to implement interventions. The purpose of this synthesis project was to implement an evidence-based quality improvement project to screen lipids in children at the Start Community Clinic (SCC), a rural health clinic in Northeast Louisiana. Statistical Process Control (SPC) was used to evaluate both processes and outcomes. Outcomes measured include the number of children eligible to be screened compared to the number of children screened. Control charts were used to determine the stability and success of the improvement effort in implementing the evidence-based guideline. The guideline implementation using quality management techniques was successful and resulted in lipid screening of 60% of eligible children within the project time frame.</p>

Even though most clinical information systems (CIS) today are technically sound, the number of successful implementations of these systems is low. For that reason, understanding the characteristics and challenges for organizations implementing CIS is now considered key to successful information technology deployment (Lorenzi & Riley, 1997). Although theory driven information systems models and CIS studies exist, an integrated model to predict a successful CIS has not been evaluated. The purpose of this research was to evaluate the ability of a theoretically-based integrated model of CIS success (CISSM) to predict a successful CIS from the clinicians' perspective. Data were collected and analyzed from 234 registered nurses in 4 hospitals who had used the Cerner PowerChart Admission Health Profile (AHP) longer than 3 months. Construct validity and internal consistency reliability of the 23-item online instrument were established. The results of stepwise multiple regression analyses provided tentative support for the CISSM model.