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A
comprehensive data management program that captures all key
information from ED records - demographic, financial, operational,
and clinical - allowing the permutation of this data into
an unparalleled variety of management and profiling reports.
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EDITS Data - Benefits Analysis
There are numerous very tangible benefits to be derived from
use of the EDITS Data program:
- Greatly Improved Hospital Charge Capture
As noted in the "background" section, one of the early benefits
achieved at the first hospital where EDITS Data was installed
was markedly improved capture of hospital charges and a large
increase in net revenues. The problems associated with charge
capture by nurses with regard to consistency and accuracy are
universal. CQ Systems has conducted 14 lost charge audits for
hospitals considering the implementation of EDITS Data. These
audits have consistently demonstrated that hospitals are losing
large quantities of charges. In the 14 audits, an average of 35%
(range 16-58%) of charts were noted to have charging errors and
the average loss per chart audited was $25 (range $7-$55). For
an average-size ED with 20,000 visits per year, this equates to
approximately $500,000 in lost charges. Depending on the payor
mix, this can be expected to result in a net revenue increase
to the hospital of $150,000 to $250,000. These audits clearly
affirm that it would be the rare hospital that would not benefit
substantially from improved charge capture. In addition to improved
charge capture, the chart sweeper position relieves nurses of
a task that they have been shown to perform poorly in study after
study and allows them more time for patient care. The problem
of nurse charge capture typically cannot be effectively resolved
by focusing efforts on this aspect of their work. The universal
nature of this problem, as reflected in the audits performed by
CQ Systems and others, and which is intuited by anyone with any
degree of ED experience, would indicate that it is a "system"
problem requiring a totally different approach.
- Consolidation of Data Capture
In most hospitals, multiple individuals are involved with information
capture and coding of each ED record. It is not unusual for the
Pharmacy Service to be involved with charge capture related to
drugs and, likewise, Central Supply for supply charge capture.
Someone else has to enter room charges and chargeable nursing
services, while other individuals typically do CPT and ICD-9 coding
(often this is done by two individuals -- one on behalf of the
hospital and one on behalf of physicians when they bill separately).
This fragmented data entry is very slow, inefficient and labor
intensive. All of this redundancy is eliminated with use of EDITS
Data. One person captures everyone's data and distributes needed
elements to the parties who require them in a timely manner.
- Department, Staff and Physician Profiling
In addition to the charge capture and redundancy avoidance benefits
of EDITS Data, the software provides the opportunity to profile
the performance of the emergency team in an unprecedented manner.
The number of detailed, provider-specific reports that can be
generated with the available data elements is unparalleled. In
addition, the preparation of standard monthly or quarterly management
reports, a task formerly requiring hours or even days, (if they
could be generated at all) can now be completed in minutes. Also,
EDITS Data can be easily used to compare performance data between
multiple hospitals in a system or group practice.
- Performance Improvement Initiatives
Emergency department performance improvement traditionally involves
the retrospective review of ED charts to ascertain whether a problem
exists, implementation of educational endeavors or policy changes
to eliminate the problem, and follow-up through subsequent audits
to determine if improvement has occurred. All of this work is
tedious and time consuming and, in addition, generally involves
requesting the Medical Records Department to provide large numbers
of records to review. Because user-defined data fields can be
added to EDITS Data, the chart sweepers can review charts for
any specific performance improvement data as they come through
the chart stream and enter this information in addition to the
core data. This largely avoids the need to request charts from
Medical Records for retrospective review. The goal is to touch
the chart once and extract from it all of the needed data - whether
it be related to charging, coding, profiling or performance improvement
efforts. Because it can analyze multiple data elements from an
entire population, EDITS Data eliminates all challenges related
to sampling biases and allows an unprecedented ability to address
complex, yet important, clinical and managerial issues.
- Consolidated Coding and Billing Initiatives
Should the hospital elect to consider the outsourcing of its ED
coding or billing, use of EDITS Data provides the vehicle by which
this can be readily facilitated. Since EDITS Data contains all
of the informational elements needed for coding and billing for
both hospitals and physicians, the electronic uploading of this
information to a billing company would greatly facilitate a combined
effort. Even if only CPT and ICD-9 coding were combined, benefits
would be achieved in that codes generated by the hospital and
physician group would not be in conflict - a growing concern in
this era of fraud and abuse audits. The EDITS Data program is
the ideal solution to the challenges posed by the Medicare Ambulatory
Patient Classification (APC)-based Outpatient Prospective Payment
System. Specifically, the program is capable of providing hospitals
with all of the CPT codes needed to appropriately maximize Medicare
payments.
- Increased Hospital "Compliance" With Required Coding Standards
All hospitals are struggling to create and implement compliance
plans in order to meet regulatory requirements and to minimize
exposure to allegations of "fraud and abuse" from local, state
and federal agencies. EDITS Data is designed to promote standardization
of coding of physician and hospital components while capturing
clinical and management data on all visits. By minimizing the
number of personnel applying coding rules, the risks to hospitals
and physician groups are minimized.
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