Antibiotic management decision support tool
| developed by |
clinical domains |
keywords |
| TheraDoc, Inc., Salt Lake City, USA |
Multiple. Antibiotic management, infection control.
|
Decision support, workflow, expert systems, PDA, patient-specific and disease-specific anti-microbial recommendations, dosing calculator |
| commissioned |
status |
Access |
| 2003 |
Standalone PDA version of a commercial product available free of charge to registered
health professionals in the USA. |
|
| description |
|
" This [downloadable] version of the
Antibiotic Assistant includes the Antibiotic Wizard ... (that provides patient specific treatment
recommendations based on expert medical knowledge combined with patient and
institutional specific information), ...
the patient-specific dosing calculator, quick guides
for infection control and drug monographs. The
full power of the Antibiotic Assistant
... is available to an
organization when TheraDoc's Expert
System Platform (ESP) is implemented to
integrate patient data with standardized
medical vocabularies and embedded
knowledge." [Theradoc - Antibiotic Assistant brochure].
|
| references |
Warner H Jr, Blue SR, Sorenson D et al.
New computer-based tools for empiric antibiotic decision support.
Proc AMIA Annu Fall Symp. 1997;:238-42.
[PubMed]
[AMIA]
|
"
Since 1995 we have been developing a decision support
model, called Q-ID, which uses a series of
infectious disease knowledge bases to make
recommendations for empirical treatment or to check
the appropriateness of current antibiotic therapy.
From disease manifestations and risk factors, a
differential diagnosis for the patient is generated by a
diagnostic medical expert system. The resulting
probability of each disease is multiplied by the
expected benefit in improved mortality and morbidity
from optimal antibiotic treatment of each disease. To
generate empirical treatment recommendations, sitespecific
data on sensitivity to antibiotics of each
organism is used as an estimate of the likelihood of
achieving maximum benefit for each disease on the
patient’s differential. Combining this data with drug
and patient specific factors, the model recommends
the antibiotic(s) most likely to produce the optimal
benefit in this patient with the least risk and expense.
In this paper the model is described, excerpts from
each of the knowledge bases are presented, and
performance of the model in a real case is shown for
illustration.
"
|
|
| contact |
links |
TheraDoc, Inc.
257 East 200 South, Suite 600
Salt Lake City, UT 84111, USA
Phone: (801) 415-4400
Fax (801) 415-4444
E-mail: info@theradoc.com
|
|
Entry on OpenClinical: 30 January 2005
Last main update: 30 January 2005
|
|