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The Medical Informaticist:
An Emerging Field In Clinical Medicine
Laura Damask, M.P.H., M.P.A.
[October 2004 © Practice Perfect]
Medical informatics is a growing industry and many
physicians are looking to expand their careers and enhance
their education by learning more about the use of informatics
in health care. Strictly defined, medical informatics
investigates the structure and properties of medical
information. Medical informatics is the scientific study
and practical design, selection, implementation, evaluation,
and maturation of systems that underlie the management
(acquisition, classification, storage, retrieval, dissemination,
and usage) of medical information, with the aim of supporting
evidence-based decision making and improved quality
in medical education, research, administration, and
practice.
Today, the term "Clinical Informatics" is
frequently used interchangeably with that of Medical
Informatics. By definition, clinical informatics is
usually used to refer to that subset of medical informatics
that deals with the practice of medicine by healthcare
providers--as opposed to those areas of medical informatics
that deal with pharmacy operations, billing for medical
services, administration of health insurance plans,
etc.--although in practice, there is often overlap between
"clinical" and "nonclinical" areas of medical informatics.
Information is critical to the practice
of medicine. As the volume of clinical information,
medical literature and number of individuals involved
in a patient's care have risen, the study of healthcare
information management issues depends more and more
on the medical informaticist to serve as an interface
between information system experts and clinical users.
A medical informaticist requires skills in the fields
of medicine, management and information technology.
Medical informatics focuses on the subject matter--information,
as well as the tools--the computers. Medical informaticists
look at information and how it is captured, used, and
stored as well as the equipment and database servers
that make it all possible.
What training should a medical informaticist
have and how can it be obtained? Experience in the clinical
setting is essential. This experience is often gathered
through medical, nursing or other healthcare professional
training. Informatics training can be obtained in several
ways. The most common is fellowship training at an institution
with an informatics training program. Some fellowships
require formal computer science training at an undergraduate
level, while others provide a computer science background
during the fellowship years. Fellowships in the United
States are often funded by the US National Library of
Medicine requiring US citizenship but others are open
to non-US citizens. Fellowships typically last two to
four years and may include participation in masters
or doctoral programs at the host university.
Less formal training is available at some
institutions with active medical informatics programs.
By participating in the development and operation of
active hospital clinical computing systems, a great
deal can be learned. Finally, by attending informatics
meetings such as Medinfo and those sponsored by the
American Medical Informatics Association and reading
journals such as the Journal of the American Informatics
Association, MD Computing, Computers and Biomedical
Research, Methods and Information in Medicine and others,
exposure to medical informatics is available to all
those with an interest.
There are many career paths medical informaticists
can pursue. They can be working in academic medical
informatics research, development and educational support.
They can be in clinical administrative and educational
management within a healthcare system. Physician informaticists
may work in information systems (IS) departments and
continue to practice clinical medicine part-time. Medical
informaticists can also be involved in operational service
management within a clinical institution. They can be
the hospital's chief information officer or medical
director for information technology. There are also
opportunities in digital library development and implementation.
Medical informaticists are needed in corporate research
and development by healthcare institutions. Biotechnology
and pharmaceutical companies are hiring them for their
research, development and management teams.
The role of a medical informaticist traverses
different levels of expertise and crosses different
role boundaries but is based on combinations of key
skills:
- Strategic planning, management and leadership skills
- Understanding the culture of healthcare organizations
- Business orientation and training
- Knowledge of healthcare financing and management
- Healthcare professional training
- Knowledge of system infrastructure design and networking
- Medical informatics training
Probably the most common role for physicians
in an IS department today is that of the physician liaison:
a communicator and translator between the department
and end users. The physician liaison's primary tasks
include frequent contact with practitioners from representative
environments across the enterprise to gain a clear understanding
of practitioners' information needs, communicate these
needs to IS, work with IS staff in developing solutions,
and review these solutions to ensure that they address
the needs appropriately. A physician liaison also assists
IS in presenting new functions to users, helping to
explain limitations encountered or why one approach
was adopted instead of another. In some organizations,
these physicians also participate in the strategic planning
process for information systems. A growing number of
academic medical centers with large informatics groups
employ physicians under IS who actively design and implement
clinical systems.
As health care becomes more complex and
more health care organizations appreciate the potential
for clinical computing to help in monitoring and improving
quality and in reducing costs, there will be more demand
for expertise in medical informatics. Healthcare organizations
should have medical informatics expertise available
to them and health professionals should consider this
field when planning their careers.
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Information Technology - The
Cure for Disease Management
Practice Perfect Editor [October
2004© Practice Perfect]
Chronic diseases cost the health care system
upwards of $132 billion each year. Health plans and
providers are constantly seeking new ways to control
these costs, while still delivering quality health care
services. Disease management programs have aimed to
achieve this goal and many projects across the country
are combining traditional programs with technology -
and achieving successful results.
The California Healthcare Foundation and
GlaxoSmithKline are sponsoring a series of workshops
throughout California that help physicians improve their
chronic care treatment. The workshops emphasize the
use of technology in disease management and are providing
physicians with the boost they need to implement technology
solutions in their everyday practice.
Another initiative in California will use
IT as a metric to benchmark physician groups in six
health plans. The Integrated Healthcare Association,
which consists of several California health care organizations,
will rate each physician group based on a score in three
areas. Technology spending accounts for 10% or the total
score, which is based on a practice's use of data at
the group level or physicians' access to data at the
point of care. Patient satisfaction will account for
40% of the score, and a full 50% will be based on the
group's treatment of asthma, diabetes, and coronary
artery disease, screening for breast and cervical cancer,
and childhood immunizations. The health plans, which
include Aetna, Blue Cross California, and CIGNA, will
then pay bonuses based on the physician group report
cards.
Monetary incentives are also being used
in a project based in Boston, Cinncinati, and Lexington,
Kentucky. A group of large employers, including General
Electronic, Ford Motor, Proctor & Gamble, United
Parcel Services, and Verizon Communications, have partnered
to form Bridges to Excellence - a not-for-profit organization
that develops reimbursement models that recognize health
care providers for delivering high quality, effective
care. One of the programs offers physicians an annual
bonus of $55 per patient for buying and using disease
management software and electronic medical records for
patients with chronic conditions. Bridges to Excellence
also promotes Diabetes Care Link, an interactive web
site that allows patients to enter key information on
medication compliance or blood levels. Physicians who
demonstrate that they are managing their diabetes patients
well will receive an annual bonus.
Other disease management programs across
the country are not necessarily linked to financial
rewards, but do measure the effect that technology has
on patient care. A web-based disease management pilot
project at the Georgetown University Medical Center
in Washington, D.C. tracks blood levels for diabetic
patients. The six-month project reduced the HbA1c levels
of 16 patients by at least two points. The patients
who were more frequent users of the Internet-based program
dropped their levels by three points. The program has
now become part of routine care for approximately 30
to 40 patients at the medical center.
Technology is changing how patients interact
with their case managers and physicians. Home monitoring
devices, telephone calls and website live chats are
all techniques used to communicate patient status from
the home. In other programs, when a problem or change
occurs with a patient, an "exception report" is sent
to the doctor's office, leaving it to the doctor to
take appropriate action. The doctor, notified by phone,
page, fax or e-mail, can use the information to schedule
an appointment, adjust the patient's medication, or
take other measures as he or she deems appropriate.
Due to the cost-effectiveness of IT solutions,
health plans are keen on using technology for disease
management programs. A recent report from the Alliance
of Community Health Plans (ACHP) revealed that insurers
are increasingly using technology as a tool to supplement
preventative services. The CDC-sponsored study included
10 of the ACHP's 11 member plans. All 10 plans used
IT to send reminders to physicians of recommended treatments
using either clinical or administrative data.
The survey forecasted that health plans
will continue to increase their use of the Internet
and predictive software modeling for disease management
programs in the next three years.
Physician buy-in and support is of paramount
importance to ensure the success of the disease management
program. Program guidelines must be based on proven
medical evidence and then must allow for physician input
and education. Guidelines must be developed by extremely
credible sources and clinical models must be flexible
enough to allow for individual style, while still attempting
to limit the variation from best practice.
Some plans emphasize how disease management
programs can make physicians' lives easier through moving
some of the patient management to case managers who
make sure that patients keep their appointments, and
keep them out of the ER. Others pay physicians for time
spent reviewing care plans and talking to nurses for
patients in the program, or for reviewing its patient
reports. Nevertheless some physicians are beginning
to feel that insurer-sponsored programs add to their
paperwork with long lead times to prove effective outcomes.
The most obvious problem is with different plans who
each have their own disease management program, leaving
the physician to ensure that the proper protocol for
that payor was followed.
As more and more health plans turn to disease
management vendors to cut costs, however, some solutions
to those problems may be on the horizon. States like
California, for example, are considering legislation
that would give physicians some control over disease
management. Ultimately, industry observers believe,
disease management will gain greater acceptance among
doctors as the programs learn to better serve physicians'
needs. Those programs that don't serve physicians well
won't last long, and the result will be a market with
fewer, but stronger, companies.
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Electronic Medical Records
- An Incremental Approach
Laura Damask, M.P.H., M.P.A.
[October 2004© Practice Perfect]
Acquiring an electronic medical records
system requires equal parts technology, psychology and
patience. The attraction and promise of the electronic
medical record is to capture all the data in the treatment
of a patient from all possible sources at any point
in time. For physicians to be efficient, accurate and
compensated fairly, they must have access to information
from every person - clinical or administrative - who
dealt with the patient relative to current treatment.
But the transition to the electronic medical record
(EMR) from paper charts, what with the expense, training,
work flow change, potential privacy issues and other
side effects, can be difficult, even for practices enthusiastic
for the technology. Yet many practices have taken their
first steps into the electronic world through proper
preparation, training and support before, during and
after the electronic transition. This article will profile
several practices and their approach in moving toward
an EMR system - whether it has included total or partial
implementation.
One of the major reasons for purchasing
an EMR is to improve any inefficiency in work flow.
This means an assessment of your current work flow and
then a detailed plan of what you want to change. Look
first to see if there is anything that you can standardize
in easy-to-fill templates. One solo internist in Columbus,
GA, who employs a physician assistant and a staff of
fifteen, did just that. He worked with a practice consultant
to develop templates that represented processes used
to treat his patients' most common problems. These templates
cover questions to be asked and include a list of commonly
prescribed procedures and drugs. Developing such a system
made for a simpler-to-use-EMR and an easier transition
from paper. When a patient comes in with one of the
"templated" conditions, the patient's notes can be entered
by just the "click of the mouse" instead of typing.
This helps eliminate costly transcription. The system
also coordinates and stores the massive amounts of patient
office data much more efficiently and effectively than
the old paper system.
A three-physician ENT group in Washington,
DC, was looking for an EMR system that would encompass
the total integration of the patient encounter-from
check-in/check-out through outside services, such as
lab tests. It was decided that patients would still
fill out the patient questionnaire data on paper but
the staff would then enter it into the EMR. The paper
form would then be shredded after data entry. The group
also found that many records from the outside were still
paper-based and needed to be scanned into the EMR. Even
with these concessions the group's EMR has shortened
patient office stays. The time is automatically entered
when a patient signs in and a pop-up message on the
wireless computer alerts the appropriate physician in
the exam room. The physician can then access quickly
all the information related to the patient. Most of
the physician's notes on the visit can be entered with
a few clicks on pre-set options. The physician then
enters instructions and any prescriptions, if needed.
By the time the patient checks out, all that information
is available at the front desk.
Another medical group in Brewster, NY had
its staff spend two months working on paper forms that
replicated what the screens on the system would look
like before implementing its EMR. This made the transition
much easier and decreased actual training time to a
few hours. Spreading the training and practice time
over several months before actual implementation of
the system makes the learning curve less stressful for
everyone involved.
A fifty-five-physician multi-specialty group
practice in Mount Vernon, WA, is taking a step-by-step
approach to implementing an EMR. The first step is to
put patient progress notes online. This accomplishes
two things. Technologically, it enables providers access
to patient information as soon as it is transcribed.
Psychologically, online progress notes can pave the
way to acceptance of a full-blown EMR by the group.
The pilot program, which began in June 2000, enables
"view only" access to transcribed notes, including progress
reports, letters and radiology reports. The system does
not permit users to manipulate data yet. The practice's
goal is to get all data online. By last January, the
practice was entering patient data from area hospitals
into the clinical data repository. A lab system interface
that would enable online access to lab reports was under
development.
The most clear-cut benefit from this incremental
approach to an EMR has come from reduced paper chart
"pulls". Clinical staff use the system when responding
to patient phone calls or when treating patients in
the emergency room. Users access the clinical data repository
via PCs located in the respective practices and the
central billing office. Additional benefits come from
improved patient care. Better patient service includes
fewer staff callbacks to answer patients' telephone
questions.
Understanding the unique elements that your
system may require, especially any specialty-oriented
data, is key in planning for your EMR. And if you are
implementing in steps, you want to be sure to take these
into account early on in the process. Take as an example,
Pediatrics, which deals with children and adolescents.
A pediatric EMR must have the functions to monitor development,
growth and immunization schedules. An August 2001 report
by the American Academy of Pediatrics actually identifies
three areas in which pediatric EMRs should differ from
systems designed for adult care: data representation,
data processing and system design. Data representation
includes patient growth data, the ability to generate
data graphics to give to parents and "special calculations
of growth patterns," according to the AAP report. A
pediatric EMR should be programmed to understand pediatric
lexicon and to determine "normal" ranges of readings
based on a child's age, the AAP report says. Among the
data-processing issues identified by the academy are
pediatric-specific drug dosing, immunization records
that can be reported in multiple formats, documentation
for parents and reporting "mandated formats," such as
for school or camp physicals. On system design, the
academy calls for EMRs to address special privacy factors,
including adolescent privacy laws that vary by state,
genetic information and issues of adopted children,
children in foster care and reports of abuse and neglect.
There are both benefits and risks associated
to a piecemeal approach toward a complete EMR system.
The healthcare organization must have a well-thought
out strategy in terms of future integration of all the
little parts into one big system. Working with the same
EMR vendor from the beginning and working toward implementing
that particular vendor's EMR may reduce the risk that
the sum of the parts will not come together into an
integrated whole EMR system.
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Outcomes Management
Joanne Kabak, M.B A., [October
2004© Practice Perfect]
Technology now provides the healthcare industry with
many tools to collect, analyze, and distribute vast
amounts of data, including data on the outcomes of care.
Increasingly being summoned by payors and providers,
outcomes data is used to identify where quality care
is being practiced, which physicians to reward, and
what patients need to know to decide on the best providers
for their needs.
A growing trend in both government and private insurance
sectors is the use of outcomes data to find ways to
reward physicians, as well as hospitals, nursing homes
and other healthcare providers, based on the quality
of the care they give to patients. This "pay for
performance" approach is dependent on two evolving
criteria. One is that providers demonstrate that they
are providing quality of care through using best practices,
and the other is that they are publicly identified as
having done so. This effort requires developing extensive
computerized patient records and a comprehensive process
for establishing uniform quality standards.
At the government level, the Center for Medicare &
Medicaid Services is starting a three-year demonstration
project directed to physicians' groups that have 200
or more members. Those who meet quality benchmarks will
receive a bonus and will share in any savings resulting
from increased quality of care. And in California, Blue
Cross (BCC) has initiated one of the first large-scale
efforts in a PPO network to tie physician reimbursement
bonuses to the quality of the practice, as judged by
clinical quality measures. The National Health Care
Purchasing Institute (NHCPI) of the Public Health Service,
sponsored by the Robert Wood Johnson Foundation, is
also distributing nearly $9 million in grants to study
incentive models that can be used to motivate physicians
and hospitals, in a program called "Rewarding Results."
A component of the program is to enable participating
physicians to access Internet data that lets them compare
their own performance with other physicians.
The clinical measures used to assess performance are
still a work in progress for many of these efforts.
However, they generally include such criteria as treatment
for chronic illnesses like asthma, depression and diabetes;
screening for breast, cervical, and colorectal cancer;
preventive care like childhood immunizations; level
of patient satisfaction; physician board certification;
prescribing generic drugs where appropriate; and most
recently, improvements in a group's use of information
technology. At the federal government's website, talkingquality.com,
consumer advocates, government officials, and benefits
managers will find resources to help develop projects
and reports on health care quality. The site addresses
the concerns of how to implement a quality report, and
provides a step-by-step method to collect and analyze
data, present and publish information, and support an
ongoing reporting project.
For surgeons, quality measures are usually tied to
survival rates after surgery and mortality rates are
increasingly being collected and widely disseminated.
For example, the Pennsylvania Health Care Cost Containment
Council, a state agency, publishes a guide to coronary
artery bypass graft surgery, with each surgeon's mortality
rate listed. The Maryland Health Commission publishes
a hospital guide on the Internet, and Healthgrades.com
gathers outcome and performance data as well.
Patients are now turning to the Internet to access
the data about physicians. Access to this type of information
is growing nationwide. In New York, Empire Blue Cross
and Blue Shield has initiated an online hospital ratings
report service for some of its members, using software
from HealthShare Technology. Members can then decide
which hospital to go to for a given procedure based
on comparisons of length of stay and mortality rates.
In Minnesota, HealthPartners was the first plan to put
data on the quality of clinical care of its affiliated
providers online. Its website posts evaluations of providers
in several areas, including heart disease care, preventive
health, diabetes, pediatric immunizations and others.
HealthPartners uses assessment measures that are drawn
from a combination of standardized measures created
by the National Committee for Quality Assurance and
from its own measurement guidelines. And in California,
the Pacific Group on Health, a nonprofit coalition of
California Employers, has set up a website called healthscope.org
that allows consumers to select a medical group, and
click on it to find how patients evaluate the practice
based on four criteria: overall rating, treatment and
specialty care, communication with patients, and timeliness
of care and service.
With the outcomes data generated and distributed through
these models directly impacting physicians' practices,
physicians need to play a key role in determining which
criteria should be used to define quality care and how
to support the creation of well-designed assessment
models.
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