Supporting ad-hoc queries in an integrated clinical database.
Whether caring for patients or conducting research, medical decision-makers need access to clinical data. To fulfill that need, commercial software developers have produced a wide range of database query tools that differ greatly in functionality and cost. Generally, tools that have a greater ability to conceal database complexity from the user also require more effort for administrative setup. We describe a cost-effective, commercially-available query tool that requires no special setup to perform most simple queries, yet can be customized to satisfy users' more complex querying requirements.
Steib
S A
SA
Washington University School of Medicine, St. Louis, Missouri, USA.
Reichley
R M
RM
McMullin
S T
ST
Marrs
K A
KA
Bailey
T C
TC
Dunagan
W C
WC
Kahn
M G
MG
D016303:Clinical Pharmacy Information Systems; D005103:Expert Systems; D006751:Hospital Information Systems; D006801:Humans; D016247:Information Storage and Retrieval; D018511:Systems Integration; D014584:User-Computer Interface