Optimizing standard patient management through order sets - Impact on care (blood cultures)

Studies in Health Technology and Informatics

Volumn 143, Issue , 2009, Pages 487-495

  Rosenal, Tom ^a,b   Fantin, Lisa ^a   Sinnarajah, Aynharan ^a,b   Gregson, Dan ^a,b   Mageau, Alexis ^a,b   Rich, Tom ^a,b   Pattullo, Andy ^a,b   Jamieson, Peter ^a,b   Kraft, Scott ^a,b   Robert, Jill ^a   Ross, Sheri ^a  

^a CALGARY HEALTH REGION   (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

Clinical decision support; Hospital information systems; Order entry; Order sets

Indexed keywords

BLOOD CULTURE; CLINICAL DECISION SUPPORT; HOSPITAL INFORMATION SYSTEMS; ORDER ENTRY; ORDER SETS; PATIENT MANAGEMENT; QUALITY OF CARE;

DECISION SUPPORT SYSTEMS;

ARTICLE; BLOOD ANALYSIS; HEALTH CARE QUALITY; HOSPITAL INFORMATION SYSTEM; HUMAN; PATIENT CARE; STANDARD; UTILIZATION REVIEW;

BLOOD CHEMICAL ANALYSIS; HUMANS; MEDICAL ORDER ENTRY SYSTEMS; PATIENT CARE; QUALITY OF HEALTH CARE;

EID: 67449096499     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-58603-979-0-487     Document Type: Conference Paper

References (3)

1. Bates DW, Kuperman GJ, Wang S, et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc. 2003; 10(6):523-530.
2. Cockerill FR 3rd, Wilson JW, Vetter EA, et al. Optimal Testing Parameters for Blood Cultures. Clin Infect Dis. 2004;38:1724-1730.
3. Ash JS, Berg M, Coiera E. Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. J Am Med Inform Assoc. 2004;11(2):104-112.