The Institute of Medicine (IOM) defines health care quality as “the degree to which health services for individuals and populations increase the likelihood of desired health outcomes and are consistent with current professional knowledge,” and in recent years, a broad consensus has emerged on the future health care environment. In the words of the IOM, health care should be:1
Safe—avoiding injuries to patients from the care that is intended to help them.
Effective—providing services based on scientific knowledge to all who could benefit and refraining from providing services to those not likely to benefit, avoiding underuse and overuse, respectively.
Patient-centered—providing care that is respectful of and responsive to individual patient preferences, needs, and values and ensuring that patient values guide all clinical decisions.
Timely—reducing waits and sometimes harmful delays for both those who receive and those who give care.
Efficient—avoiding waste, including waste of equipment, supplies, ideas, and energy.
Equitable—providing care that does not vary in quality because of
Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter.
Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.
OCR for page 19
2
A Vision for 21st Century Health Care
and Wellness
The Institute of Medicine (IOM) defines health care quality as “the
degree to which health services for individuals and populations increase
the likelihood of desired health outcomes and are consistent with current
professional knowledge,” and in recent years, a broad consensus has
emerged on the future health care environment. In the words of the IOM,
health care should be:1
• Safe—avoiding injuries to patients from the care that is intended to
help them.
• Effectie—providing services based on scientific knowledge to all
who could benefit and refraining from providing services to those not
likely to benefit, avoiding underuse and overuse, respectively.
• Patient-centered—providing care that is respectful of and responsive
to individual patient preferences, needs, and values and ensuring that
patient values guide all clinical decisions.
• Timely—reducing waits and sometimes harmful delays for both
those who receive and those who give care.
• Efficient—avoiding waste, including waste of equipment, supplies,
ideas, and energy.
• Equitable—providing care that does not vary in quality because of
1Institute of Medicine, Crossing the Quality Chasm: A New Health System for the st Century,
National Academy Press, Washington, D.C., March 2001.
OCR for page 19
0 COMPUTATIONAL TECHNOLOGY FOR EFFECTIVE HEALTH CARE
personal characteristics such as gender, ethnicity, geographic location, and
socioeconomic status.
The IOM vision calls for a health care system that is systematically
organized and acculturated in ways that make it easy and rewarding for
providers and patients to do the right thing, at the right time, in the right
place, and in the right way. This vision entails many different factors (e.g.,
systemic changes in paying for health care, an emphasis on disease pre-
vention rather than disease treatment). But none is more important than
the effective use of information.2
Based on its observations and expertise, the committee identified
a number of information-intensive aspects of the IOM’s vision for 21st
century health care. Each bullet phrase below summarizes one of these
important health care IT capabilities, followed by an illustrative vignette
of what might be possible. The vignettes (displayed in italic type) are not
comprehensive (i.e., they do not cover all aspects of the capability).
• Comprehensive data on patients’ conditions, treatments, and
outcomes.
A clinician needs to know what medications an elderly, memory-
challenged patient is taking. Recognizing the important difference
between medications prescribed and medications taken, the clinician
asks the patient to bring all of his pill containers, both prescription
and oer-the-counter, to the appointment. She asks the patient to place
all of the containers on a surface table computer, which automatically
identifies the medications in each of the containers and counts the num-
ber of pills remaining in each container. The pill containers also carry
RFID [radio-frequency identification] tags, on which the initial fill-up
quantities of the containers are stored. The table can read these tags,
and thereby make an inference about what pills were actually taken and
proide information about likely compliance with a particular medica-
tion regime. Farther in the future, recognizing the differences in how
2Institute of Medicine, The Computer-Based Patient Record: An Essential Technology for Health
Care (Revised Edition), National Academy Press, Washington, D.C., 1997, available at http://
www.nap.edu/openbook.php?isbn=0309055326; Institute of Medicine, Key Capabilities of an
Electronic Health Record System: Letter Report, The National Academies Press, Washington, D.C.,
2003, available at http://www.nap.edu/catalog.php?record_id=10781; Institute of Medicine,
Patient Safety: Achieing a New Standard for Care, The National Academies Press, Washington,
D.C., 2004, available at http://www.nap.edu/openbook.php?isbn=0309090776.
3If purchase history were available to provide information on when the container was
filled, inferences could be made about the frequency and timing of pill-taking, rather than
only the total number of pills taken.
OCR for page 19
A VISION FOR st CENTURY HEALTH CARE AND WELLNESS
indiiduals absorb or clear medications from their bodies, a blood sample
of the patient in question is analyzed with a mass spectrometer or other
similar deice, and the resulting spectrum identifies the actual leel of
all drugs in the patient’s body. Combined with information from the
smart table, a profile of the patient’s compliance and pharmacokinet-
ics for each drug is generated. The clinical significance of the smart
medications table and the mass spectrometer is that together they help
to reduce uncertainty by synthesizing different iews into the patient’s
medication history.
• Cognitive support for health care professionals and patients to
help integrate patient-specific data where possible and account for any
uncertainties that remain.4
A primary care clinician needs to monitor a patient’s heart condition.
Cardiac information is proided to the clinician not in the form of tables
of numbers or indiidual EKG plots, but rather as an oerlay on a isual
animated structural model of the patient’s heart (not a generic heart)
deried from arious imaging modalities. The system displays the rel-
eant functional information in summary form and proides an image
of the heart in operation drien by all of the data that hae been collected
about the patient oer time. Different time scales are aailable for dis-
play, and the clinician can display an animated image of the patient’s
heart in operation as the patient is resting or exerting himself (i.e., in
near-real time), or track how the structure of the heart has changed
oer the last years using time-lapse-like sequences. Functional histo-
ries are also aailable. Histories are instantly aailable in easy-to-read
form, with different parameter histories presented on similar-looking
charts normalized to z-scores and timescales, showing upper and lower
“normal” and physiologic bounds. The clinician also has the ability
to drill down to any supporting piece of information that underlies the
display. The clinical significance of an animated structural model is
that it drastically reduces the cognitie effort needed for the clinician to
isualize the heart functioning in this particular patient, freeing her to
use those cognitie resources for other related tasks. The model also helps
the patient to understand the medical situation at hand and assists both
clinician and patient in determining an appropriate course of action.
4In this report, “cognitive support” refers to IT-based tools and systems that provide users
(clinicians and patients) with the information, abstractions, and models needed to achieve
the IOM’s vision of health care quality.
5See, for example, Seth Powsner and Edward Tufte, “Graphical Summary of Patient Sta-
tus,” The Lancet 344(8919):386-389, August 6, 1994, available at http://www.stottlerhenke.
com/projects/IPDRA2/info_resources/powsner_tufte_graphical_patient_summary.pdf.
OCR for page 19
COMPUTATIONAL TECHNOLOGY FOR EFFECTIVE HEALTH CARE
• Cognitive support for health care professionals to help integrate evi-
dence-based practice guidelines and research results into daily practice.
A primary care clinician has a number of patients with arious heart
conditions. In order to help stay current with recent literature, he sub-
scribes to alerts from the medical literature and learns that a particular
heart disease guideline has been updated to include a new drug that
reportedly preents a difficult and expensie complication. After com-
paring it to other guidelines that he beliees to be trustworthy, he decides
to incorporate this new guideline into his practice. By clicking on a
link, the clinician can download the guideline to his system, which also
searches for and constructs seeral potential action flowcharts to meet
the guideline’s goals, based on an internal computable model of clinic
workflow and resources. He selects one and his disease management
dashboards, order sets, and reminder systems are updated. (A dashboard
is an easily iewed display that summarizes the health status of multiple
patients.) The clinical significance of the literature alert system is that it
enables the clinician to keep current and to systematically translate new
knowledge into his practice while enabling the clinician and the patient
to decide on the appropriate course of treatment.
• Instruments and tools that allow providers to manage a portfolio
of patients and to highlight problems as they arise both within individual
patients and within populations.
The computer of an outpatient care proider displays the summary
health status (a “dashboard”) of her 00 diabetic patients with color-
codes and carefully designed graphical displays for clinical measures
of the disease (blood sugar leels, AC counts, and so on) that proide
rapid assessment, at a glance, of the status of all patients: those who are
managing illnesses successfully, those requiring interention, and those
who are marginal cases. When a diabetic patient isits her, the system
reiews applicable guidelines, customizes an order set to the patient’s
state and insurance plan (e.g., picks the preferred drug from the drug
class), and reminds the physician to discuss the selected drug with the
patient. Feedback indicating success is proided when the proider sees
that the display indicators of her patients show successful management.
The clinical significance of a summary health status display is that it
gies the proider prompt feedback about where her attention is most
needed in time to take correctie action.
• Rapid integration of new instrumentation, biological knowledge,
treatment modalities, and so on, into a “learning” health care system that
OCR for page 19
A VISION FOR st CENTURY HEALTH CARE AND WELLNESS
encourages early adoption of promising methods but also analyzes all
patient experience as experimental data.
A pediatrician in Los Angeles finds herself working with an eer grow-
ing set of young patients with seere asthma. A group of them hae
added her to their Facebook page where they run a special widget that
shows her when and where they did moderate or high physical actiity
outdoors. The application does not rely on self-reporting. Rather, the
young people run an application on their mobile phones that uploads
an SMS message containing their current location eery 0 seconds to
a priate account where an application processes and summarizes loca-
tion-actiity data generated from accelerometers on their phones. The
doctor has recently introduced a new feature whereby her patients use
special Bluetooth-equipped inhalers that report ia the mobile phone each
time the inhaler is used. The website then displays when and where they
used their Bluetooth-enabled inhalers. In addition to iewing trends oer
time, and patterns based on time of year and day of the week, she runs an
application that relates her patients’ actiity to real-time pollution expo-
sure models made aailable by the city. She uses the data to make a case
to the city about other possible actiity locations (e.g., different outdoor
parks) and is soon going to enable her patients to sign up for automated
customized alerts when they are oerexerting themseles under hazard-
ous enironmental conditions. The clinical significance of an automated
actiity reporting and processing system is that it proides reliable data
on what patients actually do (rather than what they say they do) in a
form that is easy to understand, as well as additional detail to link to
other data sources to clarify patterns, and deliery that is timely enough
to support real-time feedback in time to change behaior.
• Accommodation of the growing heterogeneity of locales for the
provision of care, including home instrumentation for monitoring and
treatment, lifestyle integration, and remote assistance.
A diabetic patient wears an actie sensor that proides continuous
blood-sugar readings. When these readings approach leels that indi-
cate that actions need to be taken (e.g., taking an insulin shot, eating
something), the sensor proides an indication to the patient. Acting
with the patient’s prior consent, if the patient fails to take the necessary
action (as would be indicated by increasingly dangerous readings), the
sensor communicates with a cell phone to place a call to an emergency
caregier. Along with the patient’s ital signs and intake information
(name, present location, and so on), the call also proides a summary of
the releant readings so that the caregier can be dispatched to the site
OCR for page 19
COMPUTATIONAL TECHNOLOGY FOR EFFECTIVE HEALTH CARE
of the emergency and be prepared for what action should be taken. The
clinical significance of an actie sensor is that emergency interention
can be requested in the absence of patient action, and that the emergency
response can be proided in adance with information that would other-
wise hae to be gathered immediately upon arrial.
• Empowerment of patients and their families in effective manage-
ment of health care decisions and execution, including personal health
records (as contrasted to medical records held by care providers), educa-
tion about the individual’s conditions and options, and support of timely
and focused communication with professional health care providers.
The son of an elderly man hospitalized by a stroke needs to know about
his father’s medical condition. Rather than waiting for hours by his
father’s bedside to intercept a physician on rounds so that he can obtain
authoritatie information, he logs into a secure application that makes
his father’s electronic health record (EHR) aailable on the Internet.
But since he is not a physician himself, he inokes a data interpreta-
tion application that examines the data in the EHR and proides in
lay language a summary of the important aspects of a patient’s medi-
cal condition, preiously proided treatments, and treatment options
under consideration. The application proides an interpretation (and
the reasoning behind the interpretation) that is comparable to that which
an experienced clinician could proide. The clinical significance of an
automated EHR lay interpretation system is that the family can be
kept in the decision-making loop, in a culturally sensitie way and on
a more timely basis than is possible today, and potentially aoid delays
often inoled when families need time to make decisions—since they
learn releant facts sooner (perhaps een days sooner), they can start
the process sooner. In addition to the data flowing from caregiers, the
son can also enter information based on his knowledge of his father’s
present state and medical history, proiding caregiers with another
source of information, and empowering the son to hae a greater role in
his father’s treatment.