A Data-mining Approach to CAM Medication Reconciliation

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$241,701.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
1R43TR000361-01
Award Id:
n/a
Agency Tracking Number:
R43TR000361
Solicitation Year:
2012
Solicitation Topic Code:
NCATS
Solicitation Number:
PA11-096
Small Business Information
102 Wt 38th ST, 5TH FL, NEW YORK, NY, 10018-
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
111850900
Principal Investigator:
WILLIAM TAN
(212) 274-1654
btan@languagemate.com
Business Contact:
ROSALYN HANSRISUK
(212) 274-1654
rhansrisuk@languagemate.com
Research Institution:
Stub




Abstract
DESCRIPTION (provided by applicant): Due to its complex, multi-herb nature, many patients who use Complementary and Alternative Medicine (CAM) do not have full knowledge of the ingredients included in their remedies. Lack of disclosure about CAM can placepatients at risk, as some herbal products can have adverse interactions with pharmaceuticals or cause harmful side effects. This proposal seeks to address that challenge by developing a computer-aided expert system that can algorithmically determine the content of a patient's CAM herbal remedy. In the absence of reliable patient recall, the envisioned system employs proven analytics techniques and a known set of data- including historical patient records and patient-reported data, such as patient demographic and symptomatic details-to statistically generate a prescription list. The envisioned analytics engine will be a powerful clinical decision support tool that enhances patient safety and patient-provider communication surrounding CAM use. Phase I activities will generate a prototype for evaluating one frequently encountered condition: the common cold. This prototype will provide a solid foundation for system expansion, in Phase II, to cover a broad range of diseases and conditions. PUBLIC HEALTH RELEVANCE: Despite their growing prevalence, Complementary and Alternative Medicine (CAM) therapies are seldom a topic of discussion between healthcare professionals and patients; patient-provider communication and patient disclosure rates are further complicated by the language barrier (Eisenberg et al. 1993). Lack of communication about CAM can place patients at risk, as some herbal products can have adverse interactions with pharmaceuticals or cause harmful side effects (Kupiec et al. 2005). The computer-aided expert system, as envisioned in this application, will fill a critical void in our healthcare system's ability to thoroughly document CAM usage in patient medication history, equip providers to make more informed clinical decisions, and-by avoidance orearlier detection of herb-drug interactions-improve patient safety and quality of care.

* information listed above is at the time of submission.

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