“Use wireless technologies
to eliminate the ‘malignant spaghetti’
of cable clutter that interferes with patient care,
creates hazards for the clinical staff and delays
positioning and transport.”
“Synchronize the respiratory cycle of the
anesthesia machine ventilator with portable X-ray
exposure so that an X-ray will be triggered at end-expiration,
thus avoiding the need to turn-off the ventilator
for an intraoperative cholangiogram.”
“Trigger
the portable X-ray at end-inspiration by synchronizing
with the ICU ventilator.”
“Why
can’t a pulse oximeter be connected to a PCA
infusion and automatically interrupt the infusion
and activate an alarm when a patient is hypoxemic?”
“Support
the recording of infusion pump data in the electronic
anesthesia information system and permit control
of the infusion rate at the anesthesia machine.”
hese
are only a few examples of clinical scenarios provided
by anesthesiologists to articulate their vision
of improvements in clinical care that could be achieved
by interconnecting medical devices.1
The barriers to medical device connectivity (or
“interoperability”) are well known to
those anesthesiologists and clinical engineers who
have tried to install anesthesia information management
systems (AIMS) or to interconnect devices and computers
for clinical research. In contrast to the ubiquitous
USB memory devices that support effortless connectivity
on all brands and types of modern computers, or
the Internet browser programs and Web sites that
enable secure banking over the Internet, we have
not implemented equivalent secure, ubiquitous connectivity
technology to support vendor-neutral medical device
networks. As a result, the cost and complexity of
seamless connectivity is interfering with widespread
deployment of AIMS, remote monitoring, use of comprehensive
(laboratory + monitor) data to develop clinical
decision support systems and smart alarms.
The importance of interoperability to support improvements
in health care has been underscored by the establishment
of the position of the National Health Information
Technology (HIT) Coordinator on April 27, 2004,
to provide leadership for the “development
and nationwide implementation of an interoperable
health information technology infrastructure to
improve the quality and efficiency of health care.”2
The vision includes developing “a nationwide
interoperable health information technology infrastructure
that:
“2a. Ensures that appropriate
information to guide medical decisions is available
at the time and place of care;
2b. Improves health care quality, reduces medical
errors and advances the delivery of appropriate
evidence-based medical care;
2c. Reduces health care costs resulting from inefficiency,
medical errors, inappropriate care and incomplete
information; and
2d. Promotes a more effective marketplace, greater
competition and increased choice through the wider
availability of accurate information on health
care costs, quality and outcomes.”
Similarly the 2005 Institute of Medicine
Report, Building a Better Delivery System: A
New Engineering /Health Care Partnership, emphasizes
the need for a National Health Information Infrastructure
“to support the information-driven practice
of contemporary medicine. This infrastructure would
consist of standards for connectivity, system interoperability,
data content and exchange, applications and laws.”3
The absence of effective medical device connectivity
has been due in part to an absence of implemented
open standards, the lack of financial incentives
for device manufacturers to provide systems to support
vendor-independent connectivity, legal and regulatory
concerns and unclear clinical specifications —
or “clinical requirements” — for
the proposed systems.
The national HIT agenda includes making the interoperability
of electronic health care records (EHR) a reality,
but we are concerned that EHRs will be neither complete
nor accurate until the inclusion of medical device
data is automated.
There are two distinct, and closely related, facets
of medical device interoperability:
• Data communication
standards will support accurate data acquisition
by the EHR from monitors, infusion pumps, ventilators,
portable imaging systems and other hospital and
home-based medical devices. Reliable data will
support complete and accurate EHRs and robust
databases for continued quality improvement use.
• Medical device control standards
will permit the control of medical devices to
produce “error-resistant” systems
with safety interlocks between medical devices
to decrease use errors, closed-loop systems to
regulate the delivery of medication and fluids
and remote patient management to support health
care efficiency and safety (e.g., remote intensive
care unit, management of infected/contaminated
casualties).
The Medical Device Plug-and-Play (MD PnP) program
was initiated in May 2004 at the Center for Integration
of Medicine and Innovative Technology, or CIMIT,
and Massachusetts General Hospital to identify and
implement connectivity standards while ensuring
that they remain clinically grounded <www.mdpnp.org>.4,
5 The program has convened
diverse stakeholders (clinicians, the Food and Drug
Administration, manufacturers, biomedical and clinical
engineers, clinical societies and others) to develop
a roadmap for open-standards-based, vendor-neutral
medical device interoperability. The early identification
of the importance of basing interoperability solutions
on clinical requirements led us to begin compiling
the unique body of clinical requirements represented
in the examples above. The clinical requirements
were elicited from clinicians and engineers who
were asked to provide examples of connectivity that
could a) solve current clinical problems, b) improve
safety or efficiency or c) enable innovative clinical
systems of the future. A major goal is to identify
potential solutions to perceived shortcomings of
current clinical practice or ideas for future innovations
that require improved interoperability for implementation.
The MD PnP Lab, scheduled to open in the second
quarter of 2006, provides a vendor-neutral environment
in which to evaluate the feasibility of implementing
some of these clinical scenarios, including evaluating
connectivity products and standards as they are
developed. The Lab thus provides the protected environment
that will enable latent opportunities for improving
patient safety to be explored and realized.
We will hold an open session at the ASA 2006 Annual
Meeting in Chicago to gather your clinical
requirements for inclusion in the master requirements
list, which will guide national solutions. Feel
free to get started now by sending your ideas to
us at <asa@mdpnp.org>
or posting your ideas and initiating discussion
on the discussion area of <www.mdpnp.org>
(free registration required to post information).
References:
1. Goldman JM, Whitehead SF, Weininger S. Eliciting
clinical requirements for the Medical Device Plug-and-Play
(MD PnP) Interoperability Program. Anesth Analg.
2006; 102;S1-54.
2. <www.whitehouse.gov/news/releases/2004/04/print/20040427-4.html>.
3. Reid PP, Compton WD, Grossman JH, Fanjiang G,
eds. Building a Better Delivery System: A New
Engineering/Health Care Partnership. Institute
of Medicine and National Academy of Engineering.
Washington, DC: National Academies Press, 2005.
4. Center for the Integration of Medicine and Innovative
Technology, Cambridge, MA.
5. Goldman JM, Schrenker RA, Jackson JL, Whitehead
SF. Plug-and-play in the operating room of the future.
Biomed Instrum Technol. 2005; 39(3):194-199.
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Julian
M. Goldman, M.D., is Assistant Anesthetist,
Massachusetts General Hospital (MGH)/Harvard
Medical School, Physician Advisor, Partners
HealthCare Biomedical Engineering at Massachusetts
General Hospital, Boston, Massachusetts, and
Program Leader, CIMIT/MGH Medical Device “Plug-and-Play”
Interoperability Program. He is President of
the Society for Technology in Anesthesia. |
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