Standards for Electronic
Transactions and Code Sets
VI. Final Impact Analysis
A. Executive Summary
Title II of the Health Insurance Portability and Accountability
Act (HIPAA) provides a statutory framework for the establishment
of a comprehensive set of standards for the electronic
transmission of health information. Pursuant to this
Title, the Department of Health and Human Services published
proposed regulations concerning electronic transactions
and code sets (May, 1998), national standard health
care provider identifier (May, 1998), national standard
employer identifier (June, 1998), security and electronic
signature standards (August, 1998), and standards for
privacy of individually identifiable health information
(November, 1999).
Currently, there are numerous electronic codes available
in the market. Without government action, a common standard
might eventually emerge as the result of technological
or market dominance. However, the uneven distribution
of costs and benefits may have hindered the development
of a voluntary industry-wide standard. Congress concluded
that the current market is deadlocked and that the health
care industry would benefit in the long run if government
action were taken now to establish an industry standard.
This approach, however, does entail some risks. For
example, whenever the government chooses a standard,
even one that is the best available at any point in
time, the incentives to develop a better standard may
be diminished because there is virtually no market competition
and government-led standards often take longer to develop
than those developed as the result of market pressures.
The approach taken in this regulation is designed to
encourage and capitalize on market forces to update
standards as needs and technology change and have the
government respond as quickly and efficiently as possible
to them.
As discussed in the proposals, the regulations will
provide a consistent and efficient set of rules for
the handling and protection of health information. The
framework established by these administrative simplification
regulations is sufficiently flexible to adapt to a health
system that is becoming increasingly complex through
mergers, contractual relationships, and technical and
telecommunication changes. Moreover, the promulgation
of a final privacy standard will enhance public confidence
that highly personal and sensitive information is being
properly protected, and therefore, it will enhance the
public acceptance of increased use of electronic systems.
Collectively, the standards that will be promulgated
under Title II can be expected to accelerate the growth
of electronic transactions and information exchange
in health care.
The final Impact Analysis provides estimates based
on more current information and more refined assumptions
than the original NPRM analysis. Since the original
estimates were made, some of the voluntary development
and investment in technology that was anticipated at
the time of the proposal was diverted or delayed because
of Y2K concerns; the investment is still expected but
the timing of it has been delayed. The analysis utilizes
more current data and reflects refinements in underlying
assumptions based on the public comments and other information
that has been collected on market changes. In addition,
this analysis extended the time period for measuring
costs and savings from five years to ten years. Given
that the HIPAA provisions require initial expenses but
subsequently produce a steady stream of savings, a ten
year analysis more accurately measures the impact of
the regulations.
This final rule has been classified as a major rule
subject to Congressional review. The effective date
is [OFR--INSERT 60 days after publication in the
Federal Register]. If, however, at the conclusion
of the Congressional review process the effective date
has been changed, we will publish a document in the
Federal Register to establish the actual effective
date or to issue a notice of termination of the final
rule action.
Therefore, the following analysis includes the expected
costs and benefits of the administration simplification
regulations related to electronic systems for ten years.
Although only the electronic transactions standards
are being promulgated in this regulation, the Department
expects affected parties to make systems compliance
investments collectively because the regulations are
so integrated. Moreover, the data available to us are
also based on the collective requirements of the regulations;
it is not feasible to identify the incremental technological
and computer costs for each regulation based on currently
available data. The Department acknowledges that the
aggregate impact analysis does not provide the information
necessary to assess the choice of specific standards.
The costs of implementing the standards specified in
the statute are primarily one-time or short-term costs
related to conversion. These costs include system conversion/upgrade
costs, start-up costs of automation, training costs,
and costs associated with implementation problems. These
costs will be incurred during the first three years
of implementation. Although there may be some ongoing
maintenance costs associated with these changes, vendors
are likely to include these costs as part of the purchase
price. Plans and providers may choose to upgrade their
systems beyond the initial upgrade required by the rule
as technology improves over time. Since the rule only
requires an initial systems upgrade, the costs of future
upgrades are not included in the cost estimate of the
rule. The benefits of EDI include reduction in manual
data entry, elimination of postal service delays, elimination
of the costs associated with the use of paper forms,
and the enhanced ability of participants in the market
to interact with each other.
In this analysis, the Department has used conservative
assumptions and it has taken into account the effects
of the trend in recent years toward electronic health
care transactions. Based on this analysis, the Department
has determined that the benefits attributable to the
implementation of administrative simplification regulations
will accrue almost immediately but will not exceed costs
incurred by health care providers and health plans until
after the second year of implementation. After the second
year, however, the benefits will continue to accrue
for an extended period of time. The total net savings
for the period 2002-2011will be $29.9 billion (a net
savings of $13.1 billion for health plans, and a net
savings of $16.7 billion for health care providers).
The single year net savings for the year 2011 will be
$5.6 billion ($2.5 billion for health plans and $3.1
billion for health care providers). The discounted present
value of these savings is $19.1 billion over the ten
years. These estimates do not include the sizeable secondary
benefits that are likely to occur through expanded e-commerce
resulting from standardized systems.
In accordance with the provisions of Executive Order
12866, this rule was reviewed by the Office of Management
and Budget.
B. Guiding Principles for Standard Selection
The implementation teams charged with designating standards
under the statute have defined, with significant input
from the health care industry, a set of common criteria
for evaluating potential standards. These criteria are
based on direct specifications in the HIPAA, the purpose
of the law, and principles that support the regulatory
philosophy set forth in Executive Order 12866 of September
30, 1993, and the Paperwork Reduction Act of 1995. In
order to be designated as a standard, a proposed standard
should:
- Improve the efficiency and effectiveness of the
health care system by leading to cost reductions for
or improvements in benefits from electronic HIPAA
health care transactions. This principle supports
the regulatory goals of cost-effectiveness and avoidance
of burden.
- Meet the needs of the health data standards user
community, particularly health care providers, health
plans, and health care clearinghouses. This principle
supports the regulatory goal of cost-effectiveness.
- Be consistent and uniform with the other HIPAA standards
(that is, their data element definitions and codes
and their privacy and security requirements) and with
other private and public sector health data standards
to the extent possible. This principle supports the
regulatory goals of consistency and avoidance of incompatibility,
and it establishes a performance objective for the
standard.
- Have low additional development and implementation
costs relative to the benefits of using the standard.
This principle supports the regulatory goals of cost-effectiveness
and avoidance of burden.
- Be supported by an ANSI-accredited standard setting
organization or other private or public organization
that will ensure continuity and efficient updating
of the standard over time. This principle supports
the regulatory goal of predictability.
- Have timely development, testing, implementation,
and updating procedures to achieve administrative
simplification benefits faster. This principle establishes
a performance objective for the standard.
- Be technologically independent of the computer platforms
and transmission protocols used in HIPAA health transactions,
except when they are explicitly part of the standard.
This principle establishes a performance objective
for the standard and supports the regulatory goal
of flexibility.
- Be precise and unambiguous but as simple as possible.
This principle supports the regulatory goals of predictability
and simplicity.
- Keep data collection and paperwork burdens on users
as low as is feasible. This principle supports the
regulatory goals of cost-effectiveness and avoidance
of duplication and burden.
- Incorporate flexibility to adapt more easily to
changes in the health care infrastructure (such as
new services, organizations, and health care provider
types) and information technology. This principle
supports the regulatory goals of flexibility and encouragement
of innovation.
C. Introduction
The Department assessed several strategies for determining
the impact of the various standards that the Secretary
will designate under the statute. The costs and savings
of each individual standard could be analyzed independently,
or the Department could analyze the costs and savings
of all the standards in the aggregate. The decision
was made to base the analysis on the aggregate impact
of all the standards. Given that all the standards are
likely to be made final within a reasonable period of
one another, it is likely that organizations will seek
to make changes to comply with all the regulations at
the same time, at least for those components of the
regulations that require computer and technology changes.
This will be the most efficient investment for most
affected organizations, and the estimates the Department
has obtained from industry sources are based on this
assumption.
The statute gives health care providers and health
plans 24 months (36 months for small health plans) to
implement each standard after the effective date of
the final rule. This provides the industry flexibility
in determining the most cost-effective means of implementing
the standards. Dictated by their own business needs,
health plans and health care providers may decide to
implement more than one standard at a time or to combine
implementation of a standard with other system changes.
As a result, overall estimates will be more accurate
than individual estimates.
Assessing the benefits of implementing each standard
independently could also be inaccurate. While each individual
standard is beneficial, the standards as a whole have
a synergistic effect on savings. For example, the combination
of the standard health plan identifier and the standard
claim format will improve the coordination of benefits
process to a much greater extent than use of either
standard individually.
It is difficult to assess the costs and benefits of
such a sweeping change because no-one has historical
experience with this unique area. Moreover, the standardization
of electronic transactions will spur secondary innovations,
particularly in e-commerce, that may be described generally
but are too new to assess quantitatively. Consequently,
the analysis of these secondary benefits will be qualitative.
D. Overall Cost/Benefit Analysis
To assess the impact of the HIPAA administrative simplification
provisions, it is important to understand current industry
practices. A 1993 study by Lewin-VHI estimated that
administrative costs comprised 17 percent of total health
expenditures. Paperwork inefficiencies are a component
of those costs, as are the inefficiencies caused by
the more than 400 different data transmission formats
currently in use. Industry groups such as ANSI ASC X12N
have developed standards for EDI transactions which
are used by some health plans and health care providers.
However, migration to these recognized standards has
been hampered by the inability to develop a concerted
approach. For example, even standard formats
such as the Uniform Bill (UB-92), the standard Medicare
hospital claim form (which is used by most hospitals,
skilled nursing facilities, and home health agencies
for inpatient and outpatient claims) are customized
by health plans and health care providers.
Several reports have made estimates of the costs and/or
benefits of implementing EDI standards. In assessing
the impact of the HIPAA administrative simplification
provisions, the Congressional Budget Office reported
that:
The direct cost of the mandates in Title II
of the bill would be negligible. Health plans (and
those health care providers who choose to submit claims
electronically) would be required to modify their
computer software to incorporate new standards as
they are adopted or modified...Uniform standards would
generate offsetting savings for health plans and health
care providers by simplifying the claims process and
coordination of benefits. (Page 4 of the Estimate
of Costs of Private Sector Mandates in the Congressional
Budget Office report)
The most extensive industry analysis of the effects
of EDI standards was developed by WEDI in 1993, which
built upon a similar 1992 report. The WEDI report used
an extensive amount of information and analysis to develop
its estimates, including data from a number of EDI pilot
projects. The report included a number of electronic
transactions that are not covered by HIPAA, such as
materials management. The WEDI report projected implementation
costs ranging between $5.3 billion and $17.3 billion
(3, p. 9-4) and annual savings for the transactions
covered by HIPAA ranging from $8.9 billion and $20.5
billion (3, pp. 9-5 and 9-6). Lewin estimated that the
data standards proposed in the Healthcare Simplification
and Uniformity Act of 1993 would save from 2.0 to 3.9
percent in administrative costs annually ($2.6 to $5.2
billion based on 1991 costs) (1, p.12). A 1995 study
commissioned by the New Jersey Legislature estimated
yearly savings of $760 million related to EDI claims
processing, reducing claims rejection, performing eligibility
checks, decreasing accounts receivable, and other potential
EDI applications in New Jersey alone (4, p.316).
We have drawn on the 1993 WEDI report for many of our
estimates because it is the most comprehensive available.
However, our conclusions differ, especially in the area
of savings, for a number of reasons. The WEDI report
was intended to assess the savings in an EDI environment
that is much broader than is covered by HIPAA. Furthermore,
EDI continued to grow through the 1990's (see Faulkner
& Gray, 2000) , and it is reasonable to assume that
EDI would continue to grow for the foreseeable future
even without HIPAA. The Departments objective
in this analysis is to assess the effect of the legislation
and these regulations on the health care sector; only
a portion of the benefits of EDI identified by WEDI
would be attributable to HIPAA.
E. Implementation Costs
The costs of implementing the standards specified in
the statute are primarily one-time or short-term costs
related to conversion. They can be characterized as
follows:
- System Conversion/Upgrade -- Health care providers
and health plans will incur costs to convert existing
software to utilize the standards. Health plans and
large health care providers generally have their own
information systems, which they maintain with in-house
or contract support. Small health care providers are
more likely to use off-the-shelf software developed
and maintained by a vendor. Examples of software changes
include the ability to generate and accept transactions
using the standard (for example, claims, remittance
advices) and converting or cross walking medical code
sets to chosen standards. However, health care providers
have considerable flexibility in determining how and
when to accomplish these changes. One alternative
to a complete system redesign would be to purchase
a translator that reformats existing system outputs
into standard transaction formats. A health plan or
health care provider could also decide to implement
two or more related standards at once or to implement
one or more standards during a software upgrade. Each
health care providers and health plans
situation will differ, and each will select a cost-effective
implementation scheme. Many health care providers
use billing associates or health care clearinghouses
to facilitate EDI. (Although we discuss billing associates
and health care clearinghouses as separate entities
in this impact analysis, billing associates are considered
to be the same as health care clearinghouses for purposes
of administrative simplification if they meet the
definition of a health care clearinghouse). Those
entities would also have to reprogram to accommodate
standards.
- Start-up Cost of Automation -- The statute does
not require health care providers to conduct transactions
electronically. To benefit from EDI, health care providers
who choose to conduct electronic transactions but
do not currently have electronic capabilities would
have to purchase and install computer hardware and
software as well as train their staffs to use the
technology. However, this conversion is likely to
be less costly once standards are in place because
there will be more vendors providing support services.
Furthermore, providers without electronic capabilities
are more likely to conclude that the benefits of conducting
transactions electronically justify a capital investment
in EDI technology.
- Training -- Health care provider and health plan
personnel will require training on the use of the
various standard identifiers, formats, and code sets.
For the most part, training will be directed toward
administrative personnel, though clinical staff will
also need training on the new code sets. With standardization,
however, vendors are more likely to offer assistance
in training as a means of increasing sales, thereby
reducing the per unit cost of training.
- Implementation Problems -- The implementation of
any industry-wide standards will inevitably create
additional complexity in regard to how health plans
and health care providers conduct business. Health
plans and health care providers will need to work
on re-establishing communication with their trading
partners, and process transactions using the new formats,
identifiers, and code sets. This is likely to result
in a temporary increase in rejected transactions,
manual exception processing, payment delays, and requests
for additional information.
While the majority of costs are one-time costs related
to implementation, there are also on-going costs associated
with administrative simplification, such as subscribing
to or purchasing documentation and implementation specifications
related to code sets and standard formats and obtaining
current health plan and health care provider identifier
directories or data files. Because covered entities
are already incurring most of these costs, the costs
under HIPAA will be marginal. These small ongoing costs
are included in the estimate of the system conversion
and upgrade costs.
In addition, EDI could affect cash flow throughout
the health insurance industry. Electronic claims reach
the health plan faster and can be processed faster.
This has the potential to improve health care providers
cash flow situations while decreasing health plans
earnings on cash reserves. However, improved cash flow
is generally considered a benefit, particularly for
small businesses.
F. Benefits of Increased Use of EDI for Health Care
Transactions
Some of the benefits attributable to increased EDI
can be readily quantified, while others are more intangible.
For example, it is easy to compute the savings in postage
from EDI claims, but attributing a dollar value to processing
efficiencies is difficult.
The benefits of EDI to the industry in general are
well documented in the literature. One of the most significant
benefits of EDI is the reduction in manual data entry.
The paper processing of business transactions requires
manual data entry when the data are received and entered
into a system. For example, the data on a paper health
care transaction from a health care provider to a health
plan have to be manually entered into the health plans
business system. If the patient has more than one health
plan, the second health plan would also have to manually
enter the data into its system if it cannot receive
the information electronically. Repeated keying of information
transmitted via paper results in increased labor as
well as significant opportunities for keying errors.
EDI permits direct data transmission between computer
systems which, in turn, reduces the need to rekey data.
Another problem with paper-based transactions is that
these documents are primarily mailed. Normal delivery
times of mailings can vary anywhere from one to several
days for normal first class mail. Shipping paper documents
more quickly can be expensive. While bulk mailings can
reduce some costs, paper mailings remain costly. Using
postal services can also lead to some uncertainty as
to whether the transaction was received, unless more
expensive certified mail options are pursued. A benefit
of EDI is that the capability exists for the sender
of the transaction to receive an electronic acknowledgment
once the data is opened by the recipient. Also, because
EDI involves direct computer to computer data transmission,
the associated delays with postal services are eliminated.
With EDI, communication service providers such as value
added networks function as electronic post offices and
provide 24-hour service. Value added networks deliver
data instantaneously to the receivers electronic
mailbox.
In addition to mailing time delays, there are other
significant costs in using paper forms. These include
the costs of maintaining an inventory of forms, typing
data onto forms, addressing envelopes, and the cost
of postage. The use of paper also requires significant
staff resources to receive and store the paper during
normal processing. The paper must be organized to permit
easy retrieval if necessary.
G. The Role of Standards in Increasing the Efficiency
of EDI
There was a steady increase in the use of EDI in the
health care market through the late 1990's, and there
is likely to be some continued growth, even without
national standards. However, the upward trend in EDI
health care transactions will be enhanced by having
national standards in place. Because national standards
are not in place today, there continues to be a proliferation
of proprietary formats in the health care industry.
Proprietary formats are those that are unique to an
individual business. Due to proprietary formats, business
partners that wish to exchange information via EDI must
agree on which formats to use. Since most health care
providers do business with a number of health plans,
they must produce EDI transactions in many different
formats. For small health care providers facing the
requirement of maintaining multiple formats, this is
a significant disincentive to converting to EDI.
National standards will allow for common formats and
translations of electronic information that will be
understandable to both the sender and receiver. Multiple
electronic formats increase associated labor costs because
more personnel time and more skills are required to
link or translate different systems. These costs are
reflected in increased office overhead, a reliance on
paper and third party vendors, and communication delays.
National standards eliminate the need to determine what
format a trading partner is using. Standards also reduce
software development and maintenance costs that are
required for operating or converting multiple proprietary
formats. Health care transaction standards will improve
the efficiency of the EDI market and will help further
persuade reluctant industry partners to choose EDI over
traditional mail services.
The statute directs the Secretary to establish standards
and sets out the timetable for doing so. The Secretary
must designate a standard for each of the specified
transactions and medical code sets. Health plans and
health care providers generally conduct EDI with multiple
partners and the choice of a transaction format is a
bilateral decision between the sender and receiver.
Many health care providers and health plans need to
support many different transaction formats in order
to meet the needs of all of their trading partners.
Single standards will maximize net benefits and minimize
ongoing confusion.
Health care providers and health plans have a great
deal of flexibility in how and when they will implement
standards. The statute specifies dates by which health
plans will have to use adopted standards, however, health
plans can determine if, when, and in which order they
will implement standards before the date of mandatory
compliance. Health care providers have the flexibility
to determine when it is cost-effective for them to convert
to EDI. Health plans and health care providers have
a wide range of vendors and technologies from which
to choose in implementing standards and can choose to
utilize a health care clearinghouse to transmit (produce
and receive) standard transactions.
H. Updated Cost and Benefit Assumptions
As mentioned above, we have made changes to the original
impact analysis published in the NPRM. In response to
the public comments regarding the NPRM impact analysis,
the Department did a thorough review of the original
assumptions and data sources. In the review process,
it became clear that the original data sources required
updating and that there were some inconsistencies in
the original assumptions. What follows is an explanation
of each change and the rationale behind the new methodology.
Ten Year Time-Frame: This Impact Analysis
changes the original NPRMs time-frame from five
years to ten years. The need for this change results
from the nature of the HIPAA regulations: there will
be significant one-time initial investments followed
by many years of savings. Because a five year impact
analysis will show the full cost of the regulations
but truncate the savings significantly, a ten year time-frame
allows for a fuller presentation of the benefits administrative
simplification offers the health care industry. As an
illustration of the difference between a five year and
a ten year time frame, the initial NPRM Impact Analysis
estimated $1.5 billion in net savings to the industry,
but a ten year analysis using identical assumptions
as the original NPRM would estimate $24.2 billion in
net savings. The Department believes it is more appropriate
to use a time frame that more accurately estimates the
long term impact of the regulations.
New Data: Given the length of time between
the publication of the NPRM and the final rule, it was
necessary to update data for the number of plans and
providers, the number of claims, and the current proportion
of claims that are electronic in the health care industry.
Updated data on the number of different types of plans
and providers were obtained from a variety of sources,
including the 1997 Economic Census, the 1999 Statistical
Abstract of the United States, the American Medical
Association and other industry groups, the Department
of Labor, and the Department of Health and Human Services.
In the NPRM, the 1993 WEDI report was used to determine
the total number of claims in the health care industry
for 1993, which was trended forward using data from
the 1996 edition of Faulkner and Grays Health
Data Directory to estimate the number of claims
annually over the 1998 to 2002 time frame. For the final
impact analysis, we used 1999 data (the most recent
available) from the 2000 edition of Faulkner and Grays
Health Data Directory to determine the total
number of claims in the industry, the number of claims
by provider type, and the percent of claims that are
billed electronically by provider type.
The baseline rate of growth in the number of claims
and the rate of growth in the proportion of electronic
claims were revised using historical trend data from
the 2000 Faulkner and Gray report. In the final impact
analysis, the average annual rate of growth over the
1995 to 1999 period is used to determine the annual
increase in the number of claims and in the proportion
of claims that are electronic, for all claims in the
industry and by provider type.
New Electronic Claims Growth Assumptions:
This Impact Analysis makes a refinement to the original
assumptions for determining the rate of increase in
electronic claims due to HIPAA. The model assumes that
electronic claims submissions will increase in the first
three years after the implementation at a rapid pace
as many health care providers and health plans make
the switch to electronic formats but then the rate will
decrease over time. The model also assumes some providers
will not make the transition to EDI during the ten year
period. Specifically, we assumed that the proportion
of manual claims will decrease by twenty percent annually
from 2002 to 2005 and then will decrease by ten percent
annually from 2006 to 2011. By contrast, the original
NPRM model assumed the rate of increase in electronic
claims would grow by two additional percentage points
above the baseline rate each year.
Savings per Claim: This impact analysis
uses more consistent assumptions for the savings per
claim. In the original NPRM, the savings per claim for
payers and each provider type was based on the ranges
developed by WEDI. However, the NPRM did not consistently
pick from a given point in the WEDI ranges, but rather
various points were chosen for different groups based
on limited anecdotal information. Upon further analysis,
the Department no longer believes there is a justifiable
basis to pick from different parts of the WEDI ranges,
given the lack of additional evidence to support more
precise assumptions. Therefore, the final impact analysis
assumes the savings per claim will be at the mid-point
of the WEDI ranges for payers and all providers.
Inflation Adjustment: The final Impact
Analysis corrects an inconsistency found in the NPRM
regarding an inflation adjustment to the annual savings
per claim assumptions. Specifically, the NPRM increased
the savings per claim by 3% annually to account for
inflation. This adjustment was an inconsistency because
no other figures in the NPRM impact analysis were adjusted
for inflation. Therefore, for the final impact analysis,
all dollar estimates, including the savings per claim,
are in current 2000 dollars.
First Year Savings: Another change made
to the impact analysis was to include savings in the
first year of mandatory compliance with the rule. The
NPRM assumed that there would be no savings in the first
year of mandatory compliance, yet we believe that this
assumption was in error because most entities must comply
no later than two years after the effective date of
the final rule (three years for small health plans),
and therefore some savings will begin two years after
publication of the rule. In fact, it could be argued
that some entities will come into compliance prior to
the two year deadline and begin to produce savings,
but in order to produce a conservative estimate, this
analysis only assumes that savings begin in the first
year of mandatory compliance.
Impact of Changes: The cumulative effect
of the changes made to the impact analysis increases
the net savings from administrative simplification.
Although the NPRM only showed five year costs and savings,
the underlying analysis included ten year estimates
as well. Compared to the original impact analysis, the
final impact analysis increases the estimated gross
costs of the rule from $5.8 billion to $7.0 billion
over ten years. The original impact analysis produced
gross savings of $30 billion and net savings of $24.2
billion over ten years while the new impact analysis
produces gross savings of $36.9 billion and net savings
of $29.9 billion over ten years. Although the new impact
analysis now shows an additional $5.7 billion in savings
over ten years, the Department believes the revised
assumptions underlying these estimates are based on
better, more up-to-date data, are more consistent, and
are more reasonable. The discounted present value of
the savings is $19.1 billion over ten years. Furthermore,
the updated impact analysis still produces a conservative
estimate of the impact of administrative simplification.
For example, the new impact analysis assumes that over
the ten-year post- implementation period, only 11.2%
of the growth in electronic claims will be attributable
to HIPAA. Given the widely recognized benefits standardization
offers the health care industry, assuming that only
11.2% of all health claims will be affected by HIPAA
represents a reasonably conservative estimate of the
impact .
I. Cost/Benefit Tables
The tables below illustrate the essential costs and
savings for health plans and health care providers to
implement the standards and the savings that will occur
over time as a result of the HIPAA administrative simplification
provisions. All estimates are stated in 2000 dollars.
The costs are based on estimates of a moderately complex
set of software upgrades, which were provided by the
industry. The range of costs and savings that health
plans and health care providers will incur is quite
large and is based on such factors as the size and complexity
of the existing systems, ability to implement using
existing low-cost translator software, and reliance
on health care clearinghouses to create standard transactions.
The cost of a moderately complex upgrade represents
a reasonable mid-point in this range. In addition, we
assume that health plans and health care providers that
operate EDI systems will incur implementation costs
related to manual operations to make those processes
compatible with the EDI systems. For example, manual
processes may be converted to produce paper remittance
advices that contain the same data elements as the EDI
standard transaction. These costs are estimated to equal
50 percent of the software upgrade cost. Health care
providers that do not have existing EDI systems will
also incur some costs due to HIPAA, even if they choose
not to implement EDI for all of the HIPAA transactions.
For example, a health care provider may have to change
accounting practices in order to process the revised
paper remittance advice discussed above. We have assumed
the average cost for non-EDI health care providers and
health plans to be half that of already- automated health
care providers and health plans.
Savings due to standardization come from three sources.
First, there are savings due to increased use of electronic
claims submissions throughout the health care industry.
Second, there will be savings based on simplification
of the manual claims that remain in the system. Finally,
there will be savings due to increased electronic non-claims
transactions, such as eligibility verifications and
coordination of benefits. It is important to view these
estimates as an attempt to furnish a realistic context
rather than as precise budgetary predictions. The estimates
also do not include any benefits attributable to the
qualitative aspects of administrative simplification,
nor is there any inclusion of secondary benefits. Industry
people have argued that standardization will accelerate
many forms of new e-commerce. These innovations may
generate significant savings to the health care system
or improvements in the quality of health but they have
not been included here.
More detailed information regarding data sources and
assumptions is provided in the explanations for the
specific tables.
Table 1 below shows estimated costs and savings for
health plans. The number of plans listed in the chart
is derived from the 1993 WEDI report, trade publications,
and data from the Department of Labor. The cost per
health plan for software upgrades is based on the WEDI
report, which estimated a range of costs required to
implement a fully capable EDI environment, and more
current estimates provided by the industry. The high-end
estimates ranged from two to ten times higher than the
low-end estimates. Lower end estimates were used in
most cases because, as explained above, HIPAA does not
require changes as extensive as envisioned by WEDI.
The estimated percentages of health plans that accept
electronic billing are based on reports in the 2000
edition of Faulkner & Grays Health Data Directory
(5). The total cost for each type of health plan is
the sum of the cost for EDI and non-EDI health plans.
Cost for EDI health plans is computed as follows:
(Total Entities x EDI % x Average Upgrade Cost x
1.5)
(NOTE: As described above, EDI health plans would
incur costs both to upgrade software and to make manual
operations compatible with EDI systems. The cost of
changing manual processes is estimated to be half
the cost of system changes.)
Cost for non-EDI health plans is computed as follows:
Total entities x (1 - EDI %) x Average Upgrade Cost
x 0.5
(NOTE: As described above, cost to non-EDI health
plans is assumed to be half the cost of systems changes
for EDI plans.)
The data available permit us to make reasonable estimates
of the costs that will be borne by different types of
health plans (Table 1). Unfortunately, though we can
estimate the overall savings, we cannot reliably estimate
their distributional effects. Hence, only the aggregate
savings estimates are presented.
Table
1
Health Plan Implementation Costs and Savings
(2002-2011) |
Type of
Health Plan |
Number of
Health Plans |
Average Cost
|
% EDI |
Total Cost
(in Millions) |
Savings
(in Millions) |
| Large commercials
|
250 |
$1,000,000 |
90 |
$ 350 |
|
| Small commercials
|
400 |
500,000 |
50 |
200 |
|
| Blue Cross/ Blue Shield
|
48 |
1,000,000 |
100 |
98 |
|
| Third-party administrators
|
750 |
500,000 |
50 |
375 |
|
| HMO/PPO |
1,630 |
250,000 |
60-85 |
487 |
|
| Self-administered
|
50,000 |
50,000 |
25 |
1,875 |
|
| Other employer health
plans |
2,550,000 |
100 |
00 |
127 |
|
| TOTAL (Undiscounted)
|
|
|
|
$3,512 |
$16,600 |
| TOTAL (Discounted)
|
|
|
|
$3,300 |
$11,600 |
Note: The estimates in Table 1 show cost savings in
2000 dollars (estimates in the proposed rule were in
1998 dollars). The Office of Management and Budget now
requires all agencies to provide estimates using a net
present value calculation. Furthermore, OMB recommends
the use of a 7 percent discount rate based on the current
cost of capital. The discounted totals in the table
are based on this rate beginning in 2003.
Table 2 illustrates the costs and savings attributable
to various types of health care providers.
The number of entities (practices or establishments,
not individual health care providers) is based on the
1997 Economic Census, the 1999 Statistical Abstract
of the United States, the American Medical Associations
Physician Characteristics and Distribution in the
U.S. (2000- 2001 edition), and Department of Health
and Human Services data trended to 2002. Estimated percentages
of EDI billing are based on the 2000 edition of Faulkner
& Grays Health Data Directory or are
Departmental estimates.
The cost of software upgrades for personal computers
(PCS) in provider practices or establishments is based
on reports of the cost of software upgrades to translate
and communicate standardized claims forms. The low end
of the range of costs is used for smaller practices
or establishments and the high end of the range of costs
for larger practices/establishments with PCS. The cost
per upgrade estimate for hospitals and other facilities
is a Departmental estimate derived from estimates by
WEDI and estimates of the cost of new software packages
in the literature. The estimates fall within the range
of the WEDI estimates, but that range is quite large.
For example, WEDI estimates that the cost for a large
hospital upgrade will be from $50,000 to $500,000.
The $20.2 billion in savings in Table 4 represents
savings to health care providers for the first ten years
of implementation. The discounted present value of these
savings is $19.1 billion over ten years. They are included
to provide a sense of how the HIPAA administrative simplification
provisions will affect various entities.
Table
2
Health Care Provider Implementation Costs and
Savings
(2002-2011) |
| Type of Health
Care Provider |
Number of
Health Care Providers (2002 est.) |
Average Cost
|
% EDI
|
Total Cost
($ Millions) |
Savings ($
millions) |
| Federal Hospitals
|
266 |
$250,000 |
88 |
$ 92 |
|
| Non-Federal Hospitals
<100 beds |
2,639 |
100,000 |
88 |
364 |
|
| Non-Federal Hospitals
100+ beds |
2,780 |
250,000 |
88 |
960 |
|
| Nursing facility <100
beds |
9,606 |
10,000 |
90 |
134 |
|
| Nursing facility 100+
beds |
8,833 |
20,000 |
90 |
247 |
|
| Home health agency
|
8,900 |
10,000 |
90 |
184 |
|
| Hospice |
2,027 |
10,000 |
90 |
28 |
|
| Residential Mental
Health/ Retardation/ Substance Abuse Facilities
|
22,339 |
10,000 |
10 |
134 |
|
| Outpatient care centers
|
24,034 |
10,000 |
75 |
300 |
|
| Pharmacy |
43,900 |
4,000 |
96 |
256 |
|
| Medical labs |
9,500 |
4,000 |
85 |
51 |
|
| Dental labs |
7,900 |
1,500 |
50 |
12 |
|
| DME |
112,200 |
1,500 |
50 |
168 |
|
| Physicians solo and
groups less than 3 |
193,000 |
1,500 |
50 |
290 |
|
| Physicians groups
3+ with computers |
20,000 |
4,000 |
90 |
112 |
|
| Physicians groups
3+ no automation |
1,000 |
0 |
00 |
0 |
|
| Osteopaths |
13,600 |
1,500 |
10 |
12 |
|
| Dentists |
120,000 |
1,500 |
30 |
144 |
|
| Podiatrists |
9,100 |
1,500 |
05 |
8 |
|
| Chiropractors |
32,000 |
1,500 |
05 |
26 |
|
| Optometrists |
18,800 |
1,500 |
05 |
16 |
|
| Other professionals
|
33,400 |
1,500 |
05 |
28 |
|
| TOTAL (Undiscounted)
|
|
|
|
$3,566 |
$20,200 |
| TOTAL (Discounted)
|
|
|
|
$3,300 |
$14,100 |
Note: The estimates in Table 2 show cost savings in
2000 dollars (estimates in the proposed rule were in
1998 dollars). The Office of Management and Budget now
requires all agencies to provide estimates using a net
present value calculation. Furthermore, OMB recommends
the use of a 7 percent discount rate based on the current
cost of capital. The discounted totals in the table
are based on this rate beginning in 2003.
Table 3 shows the estimates we used to determine the
portion of EDI claims increase attributable to the HIPAA
administrative simplification provisions. The proportion
of claims that would be processed electronically even
without HIPAA is assumed to grow at the same rate from
2002 through 2011 as it did from 1995-1999. The proportion
of other health care provider claims is
high because it includes pharmacies that generate large
volumes of claims and have a high rate of electronic
billing.
The increase in EDI claims attributable to HIPAA is
highly uncertain and is critical to the savings estimate.
These estimates are based on an analysis of the current
EDI environment. Most of the growth rate in electronic
billing is attributable to Medicare and Medicaid; smaller
private insurers and third party administrators (who
are not large commercial insurers) have lower rates
of electronic billing and may benefit significantly
from standardization.
Table
3
Percent Growth in EDI Claims Attributable to
HIPAA AS Provisions (Cumulative) |
| Type of Health
Care Provider |
'02 |
'03 |
'04 |
'05 |
'06 |
'07 |
'08 |
'09 |
'10 |
'11 |
| Physician: |
| % before HIPAA |
53% |
55% |
58% |
61% |
63% |
65% |
67% |
69% |
71% |
73% |
| % after HIPAA |
63 |
72 |
80 |
83 |
86 |
88 |
90 |
91 |
93 |
94 |
| Difference |
10 |
17 |
21 |
22 |
23 |
23 |
22 |
22 |
22 |
21 |
| Hospital: |
| % before HIPAA |
87 |
88 |
89 |
89 |
90 |
91 |
91 |
92 |
92 |
93 |
| % after HIPAA |
90 |
93 |
95 |
95 |
96 |
97 |
97 |
98 |
98 |
98 |
| Difference |
3 |
5 |
6 |
6 |
6 |
6 |
6 |
6 |
6 |
6 |
| Other: |
| % before HIPAA |
83 |
84 |
86 |
87 |
88 |
89 |
90 |
91 |
92 |
93 |
| % after HIPAA |
87 |
91 |
93 |
95 |
96 |
96 |
97 |
98 |
98 |
99 |
| Difference |
4 |
6 |
7 |
7 |
7 |
7 |
7 |
6 |
6 |
6 |
Table 4 shows the annual costs, savings, and net savings
over a ten year implementation period which are gained
by using the HIPAA standards. Virtually all of the costs
attributable to HIPAA will be incurred within the first
three years of implementation, since the statute requires
health plans other than small health plans to implement
the standards within 24 months and small health plans
to implement the standards within 36 months of the effective
date of the final rule. As each health plan implements
a standard, health care providers that conduct electronic
transactions with that health plan will also implement
the standard. No net savings would accrue in the first
year because not enough health plans and health care
providers will have implemented the standards. Savings
will increase as more health plans and health care providers
implement the standards, thus exceeding costs in the
fourth year. At that point, the majority of health plans
and health care providers will have implemented the
standards and, as a result, costs will decrease and
benefits will increase.
The savings per claim processed electronically instead
of manually is based on the mid- point of the range
estimated by WEDI.: $1 per claim for health plans, $1.49
for physicians, $0.86 for hospitals and $0.83 for others.
These estimates are based on surveys of health care
providers and health plans. Total savings are computed
by multiplying the per claim savings by the number of
EDI claims attributed to HIPAA. The total number of
EDI claims is used in computing the savings to health
plans, while the savings for specific health care provider
groups is computed using only the number of EDI claims
generated by that group (for example, savings to physicians
is computed using only physician EDI claims).
WEDI also estimated savings resulting from other HIPAA
transactions, such as eligibility verifications, coordination
of benefits, and claims inquiries (among others). The
average savings per transaction was slightly higher
than the savings from electronic billing, but the number
of transactions was much smaller than the number of
claims transactions. The estimates for transactions
other than claims were derived by approximating a number
of transactions and estimating the anticipated savings
associated with each transaction relative to those assumed
for the savings for electronic billing (see table 5).
In general, the approximations are close to those used
by WEDI. For these non-billing transactions, the Department
assumed that the simplification promoted by HIPAA will
facilitate a significant conversion from manual to electronic
formats. While today it is estimated that about 44%
of these non-billing transactions are electronic, by
the end of the ten year period it is estimated that
92% will become electronic.
Savings can also be expected from simplifications in
manual claims. The basic assumption is that the savings
are ten percent of savings per claim that are projected
for conversion from manual to electronic billing. However,
it is also assumed that the standards will only gradually
allow health care providers and health plans to abandon
old manual forms and identifiers by 10% annually; this
staged transition is inevitable because many of the
relationships that have been established with other
entities will require a period of overlap during transitioning
with entities with which they do business.
Table
4
Ten Year Net Savings
($ Billions) |
| Costs and Savings
|
'02 |
'03 |
'04 |
'05 |
'06 |
'07 |
'08 |
'09 |
'10 |
'11 |
Total (Undiscounted)
|
Total (Discounted)
|
| Costs: |
| H. C. Provider |
1.2 |
1.2 |
1.1 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
3.5 |
3.3 |
| Health Plan |
1.2 |
1.2 |
1.1 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
3.5 |
3.3 |
| Total |
2.4 |
2.4 |
2.2 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
7.0 |
6.8 |
| Savings
from Claims Processing: |
| H. C. Provider |
0.4 |
0.7 |
1.0 |
1.1 |
1.1 |
1.2 |
1.2 |
1.3 |
1.3 |
1.3 |
10.7 |
7.7 |
| Health Plan |
0.4 |
0.6 |
0.8 |
0.9 |
1.0 |
1.0 |
1.1 |
1.1 |
1.1 |
1.1 |
9.1 |
6.5 |
| Total |
0.8 |
1.4 |
1.8 |
2.0 |
2.0 |
2.2 |
2.3 |
2.4 |
2.4 |
2.5 |
19.8 |
14.2 |
| Savings
from Other Transactions: |
| H.C. Provider |
0.1 |
0.3 |
0.5 |
0.7 |
0.9 |
1.0 |
1.2 |
1.4 |
1.5 |
1.7 |
9.3 |
6.2 |
| Health Plan |
0.1 |
0.2 |
0.4 |
0.6 |
0.7 |
0.8 |
0.9 |
1.1 |
1.2 |
1.4 |
7.3 |
4.9 |
| Total |
0.1 |
0.5 |
0.8 |
1.3 |
1.6 |
1.9 |
2.1 |
2.4 |
2.7 |
3.1 |
16.6 |
11.1 |
| Savings
from Manual Transactions: |
| H.C. Provider |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.3 |
0.2 |
| Health Plan |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.2 |
0.1 |
| Total |
0.0 |
0.0 |
0.0 |
0.0 |
0.1 |
0.1 |
0.1 |
0.1 |
0.1 |
0.1 |
0.5 |
0.3 |
| Total
Savings: |
| H.C. Provider |
0.5 |
1.0 |
1.5 |
1.8 |
2.1 |
2.3 |
2.5 |
2.7 |
2.9 |
3.1 |
20.2 |
14.1 |
| Health Plan |
0.4 |
0.8 |
1.2 |
1.5 |
1.7 |
1.9 |
2.0 |
2.2 |
2.4 |
2.5 |
16.6 |
11.6 |
| Total |
0.9 |
1.9 |
2.7 |
3.3 |
3.8 |
4.1 |
4.5 |
4.9 |
5.2 |
5.6 |
36.9 |
25.6 |
| Net: |
|
|
|
|
|
|
|
|
|
|
|
|
| H.C. Provider |
-0.7 |
0.3 |
0.4 |
1.8 |
2.1 |
2.3 |
2.5 |
2.7 |
2.9 |
3.1 |
16.7 |
10.8 |
| Health Plan |
-0.8 |
-0.4 |
0.1 |
1.5 |
1.7 |
1.9 |
2.0 |
2.2 |
2.4 |
2.5 |
13.1 |
8.3 |
| Total |
-1.5 |
-0.5 |
0.5 |
3.3 |
3.8 |
4.1 |
4.5 |
4.9 |
5.2 |
5.6 |
29.9 |
19.07 |
Note: Figures do not total due to rounding.
Note: The estimates in Table 4 show cost savings in
2000 dollars (estimates in the proposed rule were in
1998 dollars). The Office of Management and Budget now
requires all agencies to provide estimates using a net
present value calculation. Furthermore, OMB recommends
the use of a 7 percent discount rate based on the current
cost of capital. The discounted totals in the table
are based on this rate beginning in 2003.
The ratios in Table 5 were derived from the WEDI Report,
which estimated the volume and savings of the listed
non-billing transactions. By comparing the relationship
between billing volume and savings to non-billing volume
and savings, it is possible to estimate total savings
due to other transactions. These ratios were used because
the billing data has been updated by the Faulkner and
Gray Health Data Directory, but WEDI has not updated
the estimates for non- billing transactions. Therefore,
this model implicitly assumes that the ratio of billing
transactions to non-billing transactions has remained
constant since 1993.
|