TY  - GEN
AB  - Healthcare providers place a variety of orders in many clinical contexts ambulatory inpatient emergency departments and beyond. Laboratory tests are a ubiquitous and sometimes costly aspect of medical care. Providers may order laboratory tests to assist with diagnosis based on antiquated training reflexively to mitigate liability as a pre-requisite to pharmacologic therapy or automatically as a part of an order set. Providers have little if any assistance from electronic health records EHRs to guide their understanding of trends in their own normal or abnormal lab results. The project aim was to develop a framework to visualize analytics and disparities in laboratory test results ordered by providers.
AD  - Oregon Health and Science University
AU  - Rosenbaum, Benjamin
DA  - 2014
DO  - 10.6083/M48G8JD5
DO  - DOI
ED  - Mohan, Vishnu
ED  - Advisor
ID  - 2764
KW  - Clinical Laboratory Techniques
KW  - Diagnosis
KW  - Medical Order Entry Systems
KW  - Patient Care
KW  - Inpatients
KW  - Electronic Health Records
KW  - laboratory diagnosis
L1  - https://digitalcollections.ohsu.edu/record/2764/files/3530_etd.pdf
L2  - https://digitalcollections.ohsu.edu/record/2764/files/3530_etd.pdf
L4  - https://digitalcollections.ohsu.edu/record/2764/files/3530_etd.pdf
LK  - https://digitalcollections.ohsu.edu/record/2764/files/3530_etd.pdf
N2  - Healthcare providers place a variety of orders in many clinical contexts ambulatory inpatient emergency departments and beyond. Laboratory tests are a ubiquitous and sometimes costly aspect of medical care. Providers may order laboratory tests to assist with diagnosis based on antiquated training reflexively to mitigate liability as a pre-requisite to pharmacologic therapy or automatically as a part of an order set. Providers have little if any assistance from electronic health records EHRs to guide their understanding of trends in their own normal or abnormal lab results. The project aim was to develop a framework to visualize analytics and disparities in laboratory test results ordered by providers.
PB  - Oregon Health and Science University
PY  - 2014
T1  - Modeling disparities in provider-ordered test results
TI  - Modeling disparities in provider-ordered test results
UR  - https://digitalcollections.ohsu.edu/record/2764/files/3530_etd.pdf
Y1  - 2014
ER  -