Coordination-LOC, Complexity-MEC,
Medical and
Equipment
Regulatory Application, Conflicting Regulatory Application, and Regulatory Reporting. Eight control variables were also introduced in the survey to aid in identifying the study population and applying the findings—three questions about Respondent Information and five questions about Facility Information. Hypothesis testing showed the modified S-P-O model to be measurable and able to identify hospital structural characteristics and process factors in Clinical Engineering that affect the quality of care in US hospitals. Results also validate the relationships between the Level of Quality and three healthcare outcomes (e.g., clinical engineering effectiveness, and clinical engineering efficiency, regulatory
Interdepartmental
Medical Device Management-IMDM) that are measured by three questions determined by literature for a total of 12 indicators. Process Adequacy has five scale factors (Interdepartmental Collaboration-ICB,
Knowledge Management-KM, Complexity of Sanitation Methods-CSM, Interdepartmental Communication-ICOM, and Interdepartmental Teamwork-ITM) that are measured by three questions determined by literature for a total of 15 indicators. The third construct is the outcome variable—Level of Quality that contains three subscales: Clinical Engineering Effectiveness-CEEft, Clinical Engineering Efficiency-CEEfc, and Regulatory ComplianceRC, measured by four questions determined by literature for a total of 12 indicators. For example, Engineering Integration, Department the same measurements Effectiveness Management Contribution way, Device to of are Clinical Acquisition Integration, Organization
compliance) in accord with the Institute of Medicine’s (2001) recommendations on the formation of acceptable quality metrics that must include one or more aspects of the following to be considered acceptable research: effectiveness, efficiency, and equity. The outcome measures of the level of quality can be used to compare the perception of quality at the organization, department, or professional level. Future applications of the study include international BMET population studies and Analysis of Variance (ANOVA) studies between international results
Objectives, and Job Reporting Satisfaction. In Failure Tracking Inventory, and Clinical Systems, Implemented Medical Cost Device
Assessment, measure
Productivity Assessment measured by Regulatory
Efficiency. Finally, Regulatory Compliance is Comprehension,