Advancing the Use of Administrative Data for Emergency

CONSENUS CONFERENCE PAPER ADMINISTRATIVE DATA RESEARCH
Advancing the Use of Administrative Data for
Emergency Department Imaging Research
Damon R. Kuehl
Tiffany D. Jackson
Carl Berdahl
Rakesh D. Mistry
Neha P. Raukar
Mythreyi Bhargavan
Arjun K. Venkatesh
Linda F. McCaig
Brendan G. Carr
Jeremiah D. Schuur
Keith E. Kocher
All authors are members of the planning group for the breakout session, “Using
Administrative Data for Emergency Imaging Research,” at the 2015 Academic
Emergency Medicine Consensus Conference, “Diagnostic Imaging in the Emergency
Department: A Research Agenda to Optimize Utilization.”
CONSENUS CONFERENCE PAPER ADMINISTRATIVE DATA RESEARCH
ABSTRACT
Administrative data have been critical to describe patterns of use, cost, and
appropriateness of imaging in emergency care. Administrative data encompass a range
of source material that have been collected primarily for a non-research use:
documenting clinical care (e.g., medical records), or administering care or financial
transactions (e.g., insurance claims). These data excel when used in large scale
descriptive studies, which have documented the rise and expanded role of diagnostic
imaging in the emergency department (ED). Yet as researchers and policymakers seek
to improve the value of imaging in emergency care, traditional approaches with
administrative data are limited. This article summarizes the discussions of the breakout
session on use of administrative data for emergency imaging research at the May 2015
Academic Emergency Medicine Consensus Conference, “Diagnostic Imaging in the
Emergency Department: A Research Agenda to Optimize Utilization.” We describe the
areas where administrative data have been applied to research evaluating the use of
diagnostic imaging in the ED, the common sources for these data, and the strengths
and limitations of administrative data. Next, we examine the future role of administrative
data in answering key research questions in an evolving health system increasingly
focused on measuring appropriateness, ensuring quality, and improving value for health
spending. Finally, we consider how to move administrative data from a focus on
descriptive studies to explanatory research exploring causal relationships.
CONSENUS CONFERENCE PAPER ADMINISTRATIVE DATA RESEARCH
INTRODUCTION
Administrative data refers to data derived from a variety of preexisting sources,
including documentation of clinical encounters (e.g., electronic health records), datasets
from clinical care administrative systems (e.g., radiology or pharmacy information
systems), hospital billing data or insurance claims, or intentional aggregations of these
sources into large datasets designed for research applications. Because these data are
created predominantly for financial and management purposes rather than research,
they are of varying degrees of accuracy and completeness, and often lack important
clinical granularity, such as vital signs. Nevertheless, their power is derived from the
generally large sample sizes available, ability to describe the delivery of care over time
and geography, and relatively low cost to acquire and analyze.
Over the last two decades, administrative data have documented the growth and
variation in the use of diagnostic imaging in the emergency department (ED).1–6
Imaging has become integral to the functioning of the contemporary ED as emergency
providers are increasingly asked to provide rapid diagnosis and make hospitalization
decisions for our health system. As a result, the ED is a major consumer of these
services with sometimes unclear impact on downstream outcomes and cost of care.7
Within the context of an increasingly value driven health care system, ED diagnostic
imaging research utilizing administrative data provides several future avenues of
inquiry. Key questions include examining how imaging appropriateness and value
should be determined, exploring how to move from descriptive studies of imaging use to
CONSENUS CONFERENCE PAPER ADMINISTRATIVE DATA RESEARCH
explanatory research investigating causal relationships, enriching existing or developing
new administrative datasets to improve the yield of such research, determining which
populations should be of highest priority for study, and aligning these endeavors with
national priorities of reducing cost, improving health, and bettering the patient
experience of care?
CONSENUS CONFERENCE PAPER ADMINISTRATIVE DATA RESEARCH
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