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JAMIAFocus on U.S. Health IT Adoption
Viewpoint Ⅲ
Building a National Health IT System from the Middle Out
ENRICO COIERA, MBBS, PHD
Ⅲ J Am Med Inform Assoc. 2009;16:271–273. DOI 10.1197/jamia.M3183.
The top-down approach of many national programs for
healthcare information technology (IT) may be at the heart
of their current problems.
The medical-industrial complex loves a big procurement,
and the contracts do not get much bigger than for building
nation-scale health information systems (NHIS). But do we
really need government embedded in the process of IT
implementation, something it so clearly and routinely strug-
gles with? Or is it better for government to simply set the
policy rules of the game, given that it is policy in which they
are expert? As the new United States Administration has
recently signalled a massive injection of funds into building
a National Health Information infrastructure via the Amer-
ican Recovery and Reinvestment Act (ARRA), what lessons
can be learned from the past, and what strategic shape
should the Federal intervention take?
The English National Health System (NHS) National Pro-
gram for IT (NPfIT) in many ways serves as an international
beacon for healthcare reform, because of its clear message
that major restructuring of health services is not possible
without a pervasive information infrastructure. The NPfIT is
rolling out working systems and delivering tangible benefits
to patients and caregivers. Yet no one could deny that there
have been plenty of setbacks, misgivings, clinical unrest,
delays, cost overruns, and paring back of promised func-
tionality, culminating in demands from some political quar-
ters to shut down the program.1
The NPfIT was bound to
experience some difficulties purely on the basis of its scale
and complexity.2
However, it is becoming apparent that
there may be another, more foundational, cause of NPfIT’s
problems.
The NHS remains one of the few nation-scale, single-payer
health systems in the world. It thus has nation-scale man-
agement and governance structures to match, and these
inevitably encourage a top-down system architecture, stan-
dards compliance, and procurement process. Such an ap-
proach is impossible in many other countries, and the
United States, with its highly fragmented and decentralized
health system, sits at the other extreme. To deal with its
health reform challenges, the United States has embarked on
a totally different, bottom-up, approach to designing health
information infrastructure. Service providers have formed
regional coalitions to interconnect their existing systems as
best they can into health information exchanges (HIE). The
expectation is that Regional HIEs will eventually aggregate
into a nation-scale system.3,4
What we have in the United States and England are thus two
parallel natural experiments, testing diametrically opposing
approaches to building a NHIS. Both hope to arrive at the
same broad goal—that elements of a patient’s health record
are accessible across different regions and to all authorized
providers, with the ability to send messages (like reports
and discharge summaries) across the system securely. The
NPfIT aims to create a single shared electronic record (SSEHR),
stored centrally, through which all healthcare providers can
add or read information from others. The Health Informa-
tion Exchange (HIE) approach, in contrast, does not create a
single record, but intends to allow virtual views of records,
as abstracted or aggregated from regional systems.
Both approaches have undesirable consequences. For the
English NHS, there is no easy migration plan for its existing
systems. With the top-down approach, existing systems that
do not comply with national standards will typically be shut
down and replaced by compliant ones. The new compliant
systems may often not fit local needs as well as the systems
they replace, which were often site-specific acquisitions.
There is also the additional cost of staff retraining and
workflow adjustment, with the risk of introducing unex-
pected errors into the care process.5
While a single-specifi-
cation NHIS can be upgraded as technology changes, the
time needed to get a return on investment makes it unlikely
there will be radical overhauls in the short to medium term.
This makes any top-down system relatively brittle to meet-
ing emerging service needs.6
For example, many assump-
tions about NHS service models are “hard-wired” into
NPfIT plans. It is, for example, assumed that each patient is
registered with one General Practitioner (GP). How would
the system cope if, in a few years, the NHS moved to a
system of free choice, where patients could elect to go to any
Affiliation of the author: Centre for Health Informatics, Institute for
Health Innovation, University of New South Wales, Sydney, Aus-
tralia.
Correspondence: Enrico Coiera, PhD, Centre for Health Informatics,
Institute for Health Innovation, University of New South Wales,
Sydney, Australia; e-mail: Ͻe.coiera@unsw.edu.auϾ.
Received for review: 03/12/09; accepted for publication: 03/19/09.
Journal of the American Medical Informatics Association Volume 16 Number 3 May / June 2009 271
group.bmj.comon June 8, 2014 - Published byjamia.bmj.comDownloaded from
GP they chose? How would it cope with multiple GPs
entering records into the same system and the conflicts
brought to the summary record because GPs had different
views about a patient? Because of its scale and inertia, a
top-down NHIS will have a limited capacity to adapt
quickly to the significant health service delivery challenges
we face in the next 20 years. Over time, top-down designs
thus become increasingly out of step with service needs, and
local clinical providers will have to build work-arounds to
make the aging system meet emerging needs. Work-arounds
are probably fine in the short-term, but will inevitably add
unmanageable local variations to what was intended to be
singular national design.
Bottom-up approaches like HIEs, in contrast, preserve exist-
ing systems that are often crafted to meet local needs,
avoiding the cost of ripping them out, procuring new sys-
tems and retraining staff. The HIE approach is also more
resilient in the face of large changes, since new technologies
or system designs can be adopted locally where there is need
and capacity, as long as they too connect up to the HIE.6
Resilience comes at a price however, as one cannot predict
how expensive or feasible it will be for any given local
system to participate in an HIE. Nor is it known how much
information HIEs can actually make available to other
providers. Incompatible data models may make reconciling
the same information across different systems arbitrarily
complex. The price for preservation of local systems is a
weaker national system, which may have data holes, and
data quality problems. The presence of interoperability
standards will minimize some of these risks, but at its
extreme, a bottom-up strategy sees standards development
and compliance as a largely voluntary affair, and govern-
ment largely disinterested in it. Government’s disinterest
also means that bottom-up systems are unlikely to be closely
aligned with national policy goals. In large and mature
technology sectors like telecommunications, industry-funded
standards development is well resourced. In an emerging
and still fragmented industry like health IT, standards
development is unlikely to attract a similar level of resource.
However, much of this analysis is predicated on the assump-
tion that we actually need a single shared national record.
Here, “the great may be the enemy of the good”, since much
clinical benefit can be obtained by simply accessing clinical
records from different sources in their native format, with-
out the technical convulsions needed to integrate multiple
records into a unitary view. While patients do change
locations or travel, just how often do they? If most people
are treated within their region, what is the return on
investment for building supra-regional systems that meet
the needs of a smaller transient population? That might be a
question that generates some heat, but should help to
calibrate the level of investment directed towards coherent
national shared records versus making all records available
nationally to be viewed in their native form.
Furthermore, it is clear from the United Kingdom experience
that building a single national electronic record system is a
large, complex, and high-risk project that will bear fruit only
in the medium to long term. An “EHR first” or “EHR in the
center” strategy therefore is likely to miss many of the easy
wins needed to demonstrate success, keep political momen-
tum, preserve end-user buy-in, and build public confidence.
What are these easy wins? The answer will vary depending
on the level of IT maturity and health priorities of a nation.
They might include Web-based knowledge services, deci-
sion support (e.g., electronic prescribing), improved infor-
mation exchange between institutions and regions (e.g.,
sharing discharge summaries between hospitals and pri-
mary care, or prescriptions between primary care and phar-
macies), and of course, consumer–owned and maintained
personal health records.7
At the heart of this conundrum is
the vast gap between the needs of local institutions and
national governments. It seems that there will always be a
mismatch between targets that are set centrally and what is
needed and feasible locally. There is also usually a discon-
nect between the costs of meeting government plans—borne
often by clinicians, and the benefits—typically accruing to
industry, administrators, politicians, and ideally patients.
The closer we can bring these worlds together, the more we
can minimize the mismatch in their goals.
There is a third way, which might be termed the middle-out
approach, which goes some distance toward bringing closer
the needs of health providers, the IT industry, and govern-
ment, by creating a common set of technical goals and
underpinning standards that can sit between them. This
development of shared goals, standards development, and
sometimes support for standards implementation, must be
well resourced. Government can specifically take a lead role
when industry is weak or the national interest strong. For
example, countries like Australia have directed their initial
public e-health investments into developing nation-scale
standards, well before contemplating any actual systems
being built. The singular purpose for an organization like
Australia’s national E-health transition authority (NEHTA)
is to define the interoperability standards that will be used to
specify any future NHIS.8
In the United States, the health
information technology standards panel (HITSP), the Na-
tional eHealth Collaborative (NeHC) and the Certification
Commission for Healthcare Information Technology
(CCHIT) together fill a similar niche, but there may be real
advantages to tasking and fully resourcing a single joint
entity with the role.
The middle-out approach acknowledges that government
and providers all have different starting points, goals, and
resources. Government does not mandate immediate stan-
dards compliance, but helps fund the development process.
When the public interest is strong, government also has a
key role to provide incentives and support that encourage
clinical providers to acquire systems that are technically or
functionally compliant, and to pursue innovations that keep
their systems compliant over time. It allows local health care
institutions and service providers to gradually make their
information systems meet national standards, and to inter-
operate with the emerging National Health Information
grid. Where existing systems are in place, customized inter-
faces are built to standard. Where new purchases are made,
they are specified as close as is pragmatically possible to
standard. The cost for integration is probably the same as it
would be for a bottom-up HIE, but the end product has a
much richer, and higher quality, capability for information
sharing. There also seems to be less opportunity for system
design and implementation to be captured by the medical-
industrial complex, which is otherwise likely to tie-down
272 Coiera, Building a National Health IT System
group.bmj.comon June 8, 2014 - Published byjamia.bmj.comDownloaded from
and own everything from system design to implementation.
Middle-out also allows government to more effectively
pursue health policy goals at a national level, but constrains
them to expressing those goals against the standards laid out
in the middle. Government can try to meet its central goals
either by careful orchestration of local elements already in
existence, or by supporting the development of new public
infrastructure elements that interoperate with them. With
some core public interest exceptions, especially around safety,
privacy, and consent legislation, the pact that government
makes with local institutions is that, beyond its commitment
to common goals and standards, it will try not to shape what
is done locally.
However, standards are not static. They evolve in constant
response to new technologies and new health care needs.
Therefore, the longer a clinical IT system is in operation the
less standards compliant it becomes, until at some point it
has aged enough to attain “legacy” status. By definition,
there is thus always a lag between standards as published
and as implemented on the ground. We therefore need to see
standards as targets, and moving ones at that, that guide the
long-term convergence of local systems into an integrated
but evolving NHIS. Implementation never stops.
What is so compelling about the middle-out approach, apart
from its technical robustness, cost-effectiveness and flexibil-
ity, is that countries currently pursuing top-down or bot-
tom-up strategies can migrate to the middle whenever they
wish. The NHS, via middle-out, would not be locked into its
current architecture, but could with time shift its strategic
goals to defining how local systems interoperate, rather than
defining the local systems themselves. One might even
contemplate a future where the SSEHR becomes a virtual
rather than an actual record. With middle-out, HIEs can
converge on common standards over time. A time will soon
also come when nation-states will want to integrate their
individual NHIS into one or more international system(s);
the middle-out approach seems the only rational way to do
so.
We must understand, therefore, that building national scale
health IT infrastructure is a problem entirely different from
that of simply replicating a clinical system across may
different institutions (in the manner, for example, that the
Veterans Administration did in the United States). Building
national healthcare IT systems involves defining a policy
and standards framework that can shape the convergence of
public and private, local and central systems into a functional
national system. It is also about governments doing those
things that only governments can do well, like supporting
public sector institutions to join the NHIS, providing incen-
tives for the private sector where the private business case
for change is weak but the national interest is strong,
supporting the development of public goods such as the
skilled health informatics workforce essential to the success
of any NHIS, and crucially, developing the legislative in-
struments needed to protect the privacy and legitimate
interests of citizens. And government should avoid doing
what it is not good at, like designing, buying, or running IT.
References y
1. Cross M. Problems with computerising patients’ records are “as
serious as ever”, say MPS. BMJ 2009;338(Jan 28–1):b337.
2. Coiera E. Lessons from the NHS National Programme for IT.
Med J Aust 2007;186(1):3–4.
3. Yasnoff WA, Humphreys BL, Overhage JM, et al. A consensus
action agenda for achieving the National Health Information
infrastructure. J Am Med Inform Assoc 2004;11(4):332–8.
4. Goroll AH, Simon SR, Tripathi M, Ascenzo C, Bates DW.
Community-wide implementation of health information technol-
ogy: The Massachusetts eHealth collaborative experience. J Am
Med Inform Assoc 2009;16(1):132–9.
5. Ash JS, Berg M, Coiera E. Some unintended consequences of
information technology in health care: The nature of patient care
information system-related errors. J Am Med Inform Assoc
2004;11:104–12.
6. Stead WW, Lin HS, (editors). Computational Technology for
Effective Health Care: Immediate Steps and Strategic Directions,
National Academies, 2009.
7. Mandl KD, Kohane IS. Tectonic shifts in the health information
economy. N Engl J Med 2008;358(16):1732–7.
8. National E-Health Transition Authority. Available at: http://
www.nehta.gov.au/. Accessed: 3/31/09.
Journal of the American Medical Informatics Association Volume 16 Number 3 May / June 2009 273
group.bmj.comon June 8, 2014 - Published byjamia.bmj.comDownloaded from
doi: 10.1197/jamia.M3183
2009 16: 271-273J Am Med Inform Assoc
Enrico Coiera
the Middle Out
Building a National Health IT System from
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http://jamia.bmj.com/content/16/3/271.full.html#related-urls
Article cited in:
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Building a national health it system from the middle out (coiera 2009)

  • 1. JAMIAFocus on U.S. Health IT Adoption Viewpoint Ⅲ Building a National Health IT System from the Middle Out ENRICO COIERA, MBBS, PHD Ⅲ J Am Med Inform Assoc. 2009;16:271–273. DOI 10.1197/jamia.M3183. The top-down approach of many national programs for healthcare information technology (IT) may be at the heart of their current problems. The medical-industrial complex loves a big procurement, and the contracts do not get much bigger than for building nation-scale health information systems (NHIS). But do we really need government embedded in the process of IT implementation, something it so clearly and routinely strug- gles with? Or is it better for government to simply set the policy rules of the game, given that it is policy in which they are expert? As the new United States Administration has recently signalled a massive injection of funds into building a National Health Information infrastructure via the Amer- ican Recovery and Reinvestment Act (ARRA), what lessons can be learned from the past, and what strategic shape should the Federal intervention take? The English National Health System (NHS) National Pro- gram for IT (NPfIT) in many ways serves as an international beacon for healthcare reform, because of its clear message that major restructuring of health services is not possible without a pervasive information infrastructure. The NPfIT is rolling out working systems and delivering tangible benefits to patients and caregivers. Yet no one could deny that there have been plenty of setbacks, misgivings, clinical unrest, delays, cost overruns, and paring back of promised func- tionality, culminating in demands from some political quar- ters to shut down the program.1 The NPfIT was bound to experience some difficulties purely on the basis of its scale and complexity.2 However, it is becoming apparent that there may be another, more foundational, cause of NPfIT’s problems. The NHS remains one of the few nation-scale, single-payer health systems in the world. It thus has nation-scale man- agement and governance structures to match, and these inevitably encourage a top-down system architecture, stan- dards compliance, and procurement process. Such an ap- proach is impossible in many other countries, and the United States, with its highly fragmented and decentralized health system, sits at the other extreme. To deal with its health reform challenges, the United States has embarked on a totally different, bottom-up, approach to designing health information infrastructure. Service providers have formed regional coalitions to interconnect their existing systems as best they can into health information exchanges (HIE). The expectation is that Regional HIEs will eventually aggregate into a nation-scale system.3,4 What we have in the United States and England are thus two parallel natural experiments, testing diametrically opposing approaches to building a NHIS. Both hope to arrive at the same broad goal—that elements of a patient’s health record are accessible across different regions and to all authorized providers, with the ability to send messages (like reports and discharge summaries) across the system securely. The NPfIT aims to create a single shared electronic record (SSEHR), stored centrally, through which all healthcare providers can add or read information from others. The Health Informa- tion Exchange (HIE) approach, in contrast, does not create a single record, but intends to allow virtual views of records, as abstracted or aggregated from regional systems. Both approaches have undesirable consequences. For the English NHS, there is no easy migration plan for its existing systems. With the top-down approach, existing systems that do not comply with national standards will typically be shut down and replaced by compliant ones. The new compliant systems may often not fit local needs as well as the systems they replace, which were often site-specific acquisitions. There is also the additional cost of staff retraining and workflow adjustment, with the risk of introducing unex- pected errors into the care process.5 While a single-specifi- cation NHIS can be upgraded as technology changes, the time needed to get a return on investment makes it unlikely there will be radical overhauls in the short to medium term. This makes any top-down system relatively brittle to meet- ing emerging service needs.6 For example, many assump- tions about NHS service models are “hard-wired” into NPfIT plans. It is, for example, assumed that each patient is registered with one General Practitioner (GP). How would the system cope if, in a few years, the NHS moved to a system of free choice, where patients could elect to go to any Affiliation of the author: Centre for Health Informatics, Institute for Health Innovation, University of New South Wales, Sydney, Aus- tralia. Correspondence: Enrico Coiera, PhD, Centre for Health Informatics, Institute for Health Innovation, University of New South Wales, Sydney, Australia; e-mail: Ͻe.coiera@unsw.edu.auϾ. Received for review: 03/12/09; accepted for publication: 03/19/09. Journal of the American Medical Informatics Association Volume 16 Number 3 May / June 2009 271 group.bmj.comon June 8, 2014 - Published byjamia.bmj.comDownloaded from
  • 2. GP they chose? How would it cope with multiple GPs entering records into the same system and the conflicts brought to the summary record because GPs had different views about a patient? Because of its scale and inertia, a top-down NHIS will have a limited capacity to adapt quickly to the significant health service delivery challenges we face in the next 20 years. Over time, top-down designs thus become increasingly out of step with service needs, and local clinical providers will have to build work-arounds to make the aging system meet emerging needs. Work-arounds are probably fine in the short-term, but will inevitably add unmanageable local variations to what was intended to be singular national design. Bottom-up approaches like HIEs, in contrast, preserve exist- ing systems that are often crafted to meet local needs, avoiding the cost of ripping them out, procuring new sys- tems and retraining staff. The HIE approach is also more resilient in the face of large changes, since new technologies or system designs can be adopted locally where there is need and capacity, as long as they too connect up to the HIE.6 Resilience comes at a price however, as one cannot predict how expensive or feasible it will be for any given local system to participate in an HIE. Nor is it known how much information HIEs can actually make available to other providers. Incompatible data models may make reconciling the same information across different systems arbitrarily complex. The price for preservation of local systems is a weaker national system, which may have data holes, and data quality problems. The presence of interoperability standards will minimize some of these risks, but at its extreme, a bottom-up strategy sees standards development and compliance as a largely voluntary affair, and govern- ment largely disinterested in it. Government’s disinterest also means that bottom-up systems are unlikely to be closely aligned with national policy goals. In large and mature technology sectors like telecommunications, industry-funded standards development is well resourced. In an emerging and still fragmented industry like health IT, standards development is unlikely to attract a similar level of resource. However, much of this analysis is predicated on the assump- tion that we actually need a single shared national record. Here, “the great may be the enemy of the good”, since much clinical benefit can be obtained by simply accessing clinical records from different sources in their native format, with- out the technical convulsions needed to integrate multiple records into a unitary view. While patients do change locations or travel, just how often do they? If most people are treated within their region, what is the return on investment for building supra-regional systems that meet the needs of a smaller transient population? That might be a question that generates some heat, but should help to calibrate the level of investment directed towards coherent national shared records versus making all records available nationally to be viewed in their native form. Furthermore, it is clear from the United Kingdom experience that building a single national electronic record system is a large, complex, and high-risk project that will bear fruit only in the medium to long term. An “EHR first” or “EHR in the center” strategy therefore is likely to miss many of the easy wins needed to demonstrate success, keep political momen- tum, preserve end-user buy-in, and build public confidence. What are these easy wins? The answer will vary depending on the level of IT maturity and health priorities of a nation. They might include Web-based knowledge services, deci- sion support (e.g., electronic prescribing), improved infor- mation exchange between institutions and regions (e.g., sharing discharge summaries between hospitals and pri- mary care, or prescriptions between primary care and phar- macies), and of course, consumer–owned and maintained personal health records.7 At the heart of this conundrum is the vast gap between the needs of local institutions and national governments. It seems that there will always be a mismatch between targets that are set centrally and what is needed and feasible locally. There is also usually a discon- nect between the costs of meeting government plans—borne often by clinicians, and the benefits—typically accruing to industry, administrators, politicians, and ideally patients. The closer we can bring these worlds together, the more we can minimize the mismatch in their goals. There is a third way, which might be termed the middle-out approach, which goes some distance toward bringing closer the needs of health providers, the IT industry, and govern- ment, by creating a common set of technical goals and underpinning standards that can sit between them. This development of shared goals, standards development, and sometimes support for standards implementation, must be well resourced. Government can specifically take a lead role when industry is weak or the national interest strong. For example, countries like Australia have directed their initial public e-health investments into developing nation-scale standards, well before contemplating any actual systems being built. The singular purpose for an organization like Australia’s national E-health transition authority (NEHTA) is to define the interoperability standards that will be used to specify any future NHIS.8 In the United States, the health information technology standards panel (HITSP), the Na- tional eHealth Collaborative (NeHC) and the Certification Commission for Healthcare Information Technology (CCHIT) together fill a similar niche, but there may be real advantages to tasking and fully resourcing a single joint entity with the role. The middle-out approach acknowledges that government and providers all have different starting points, goals, and resources. Government does not mandate immediate stan- dards compliance, but helps fund the development process. When the public interest is strong, government also has a key role to provide incentives and support that encourage clinical providers to acquire systems that are technically or functionally compliant, and to pursue innovations that keep their systems compliant over time. It allows local health care institutions and service providers to gradually make their information systems meet national standards, and to inter- operate with the emerging National Health Information grid. Where existing systems are in place, customized inter- faces are built to standard. Where new purchases are made, they are specified as close as is pragmatically possible to standard. The cost for integration is probably the same as it would be for a bottom-up HIE, but the end product has a much richer, and higher quality, capability for information sharing. There also seems to be less opportunity for system design and implementation to be captured by the medical- industrial complex, which is otherwise likely to tie-down 272 Coiera, Building a National Health IT System group.bmj.comon June 8, 2014 - Published byjamia.bmj.comDownloaded from
  • 3. and own everything from system design to implementation. Middle-out also allows government to more effectively pursue health policy goals at a national level, but constrains them to expressing those goals against the standards laid out in the middle. Government can try to meet its central goals either by careful orchestration of local elements already in existence, or by supporting the development of new public infrastructure elements that interoperate with them. With some core public interest exceptions, especially around safety, privacy, and consent legislation, the pact that government makes with local institutions is that, beyond its commitment to common goals and standards, it will try not to shape what is done locally. However, standards are not static. They evolve in constant response to new technologies and new health care needs. Therefore, the longer a clinical IT system is in operation the less standards compliant it becomes, until at some point it has aged enough to attain “legacy” status. By definition, there is thus always a lag between standards as published and as implemented on the ground. We therefore need to see standards as targets, and moving ones at that, that guide the long-term convergence of local systems into an integrated but evolving NHIS. Implementation never stops. What is so compelling about the middle-out approach, apart from its technical robustness, cost-effectiveness and flexibil- ity, is that countries currently pursuing top-down or bot- tom-up strategies can migrate to the middle whenever they wish. The NHS, via middle-out, would not be locked into its current architecture, but could with time shift its strategic goals to defining how local systems interoperate, rather than defining the local systems themselves. One might even contemplate a future where the SSEHR becomes a virtual rather than an actual record. With middle-out, HIEs can converge on common standards over time. A time will soon also come when nation-states will want to integrate their individual NHIS into one or more international system(s); the middle-out approach seems the only rational way to do so. We must understand, therefore, that building national scale health IT infrastructure is a problem entirely different from that of simply replicating a clinical system across may different institutions (in the manner, for example, that the Veterans Administration did in the United States). Building national healthcare IT systems involves defining a policy and standards framework that can shape the convergence of public and private, local and central systems into a functional national system. It is also about governments doing those things that only governments can do well, like supporting public sector institutions to join the NHIS, providing incen- tives for the private sector where the private business case for change is weak but the national interest is strong, supporting the development of public goods such as the skilled health informatics workforce essential to the success of any NHIS, and crucially, developing the legislative in- struments needed to protect the privacy and legitimate interests of citizens. And government should avoid doing what it is not good at, like designing, buying, or running IT. References y 1. Cross M. Problems with computerising patients’ records are “as serious as ever”, say MPS. BMJ 2009;338(Jan 28–1):b337. 2. Coiera E. Lessons from the NHS National Programme for IT. Med J Aust 2007;186(1):3–4. 3. Yasnoff WA, Humphreys BL, Overhage JM, et al. A consensus action agenda for achieving the National Health Information infrastructure. J Am Med Inform Assoc 2004;11(4):332–8. 4. Goroll AH, Simon SR, Tripathi M, Ascenzo C, Bates DW. Community-wide implementation of health information technol- ogy: The Massachusetts eHealth collaborative experience. J Am Med Inform Assoc 2009;16(1):132–9. 5. Ash JS, Berg M, Coiera E. Some unintended consequences of information technology in health care: The nature of patient care information system-related errors. J Am Med Inform Assoc 2004;11:104–12. 6. Stead WW, Lin HS, (editors). Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions, National Academies, 2009. 7. Mandl KD, Kohane IS. Tectonic shifts in the health information economy. N Engl J Med 2008;358(16):1732–7. 8. National E-Health Transition Authority. Available at: http:// www.nehta.gov.au/. Accessed: 3/31/09. Journal of the American Medical Informatics Association Volume 16 Number 3 May / June 2009 273 group.bmj.comon June 8, 2014 - Published byjamia.bmj.comDownloaded from
  • 4. doi: 10.1197/jamia.M3183 2009 16: 271-273J Am Med Inform Assoc Enrico Coiera the Middle Out Building a National Health IT System from http://jamia.bmj.com/content/16/3/271.full.html Updated information and services can be found at: These include: References http://jamia.bmj.com/content/16/3/271.full.html#related-urls Article cited in: http://jamia.bmj.com/content/16/3/271.full.html#ref-list-1 This article cites 6 articles, 1 of which can be accessed free at: service Email alerting the box at the top right corner of the online article. Receive free email alerts when new articles cite this article. Sign up in Notes http://group.bmj.com/group/rights-licensing/permissions To request permissions go to: http://journals.bmj.com/cgi/reprintform To order reprints go to: http://group.bmj.com/subscribe/ To subscribe to BMJ go to: group.bmj.comon June 8, 2014 - Published byjamia.bmj.comDownloaded from