2.
5
Steps
to
Healthy
Data
The
Case
for
Master
Data
Management
in
Healthcare
Healthcare
systems
do
an
excellent
job
of
keeping
people
healthy
—
but
their
track
record
for
keeping
their
data
healthy
isn't
nearly
as
good.
Table
of
Contents:
Over
the
years,
many
healthcare
IT
departments
have
deployed
a
The
Case
for
Master
Data
Management
in
Healthcare
variety
of
software
solutions
for
different
purposes.
That
has
led
to
Step
1:
Build
a
Strong
Foundation
a
hodgepodge
of
legacy
systems,
many
of
which
don't
interact
with
one
another.
The
situation
is
even
more
complicated
for
Step
2:
Create
a
Single
Patient
View
organizations
that
have
grown
by
purchasing
or
merging
with
other
facilities,
each
with
its
own
software.
As
a
result,
when
a
patient
Step
3:
Establish
a
Single
Provider
View
visits
a
healthcare
facility,
staff
may
enter
data
about
that
patient
and
that
visit
into
dozens
of
different
applications.
If
that
patient
Step
4:
Improve
Efficiencies
and
Service
later
visits
a
different
office
that
is
part
of
the
same
system,
the
Step
5:
Enable
Cutting-‐Edge
Initiatives
staff
at
the
second
location
may
not
have
access
to
the
data
from
the
previous
visit
and
may
have
to
re-‐input
the
same
information
IBM
Solutions
for
Healthcare
MDM
into
an
entirely
new
set
of
applications.
And
if
any
data
has
changed,
such
as
the
patient's
address
or
insurance
information,
the
Resources
staff
often
doesn't
have
an
easy
way
to
transfer
those
changes
to
the
applications
used
by
other
parts
of
the
organization.
As
time
goes
on,
organizations
can
generate
numerous
individual
records
for
the
same
patient,
some
containing
contradictory
data.
An
IBM
study
in
one
country
with
nationalized
health
care
found
that
of
13
million
patient
records
spread
across
12
different
systems,
only
5.1
million
were
unique.
In
addition,
nearly
half
of
3.
those
records
had
incorrect
telephone
numbers,
and
6
percent
had
benefiting
society
as
a
whole.
Finally,
MDM
enables
healthcare
missing
or
incorrect
birth
dates.
That
sort
of
unhealthy
data
results
systems
to
participate
in
cutting-‐edge
analytics
projects
that
in
wasted
time
and
money,
and
it
can
even
affect
the
quality
of
promise
to
bring
great
improvements
in
efficiency
and
patient
care.
outcomes.
Healthcare
systems
plagued
by
these
problems
have
a
better
option.
Master
data
management
(MDM)
solutions
help
ensure
that
the
information
in
IT
systems
is
as
up
to
date
as
possible.
Such
solutions
provide
a
unified,
accurate
repository
of
data
and
share
that
data
among
the
various
providers
and
disciplines
involved
in
patient
care.
That
means
healthcare
professionals
don't
have
to
waste
time
re-‐inputting
data
into
multiple
applications.
Medical
errors
become
less
common,
and
caregivers
find
it
easier
to
work
together
for
the
good
of
their
patients.
In
addition,
when
organizations
have
accurate
data,
they
can
analyze
that
data
to
discover
which
treatments
and
processes
provide
the
best
outcomes.
In
this
e-‐book,
we'll
explore
in
greater
detail
some
of
the
benefits
MDM
offers
healthcare
systems.
Nearly
every
healthcare
system
faces
pressure
to
reduce
costs
and
to
improve
efficiency
and
the
quality
of
care
provided.
MDM
helps
organizations
meet
each
of
those
goals,
while
preparing
organizations
to
handle
future
challenges.
Having
accurate,
unified
data
helps
organizations
build
a
strong
foundation
that
will
make
it
easier
to
weather
the
changes
in
the
healthcare
industry.
MDM
allows
organizations
to
create
a
single
patient
view,
enabling
more
patient-‐centric
care.
It
also
allows
them
to
create
a
single
provider
view,
improving
efficiency
and
provider
relations.
In
addition,
it
improves
the
overall
efficiency
of
a
healthcare
system,
4.
Step
1:
Build
a
Strong
Foundation
organizations.
Most
importantly,
they'll
have
a
solid
foundation
for
making
good
business
decisions.
From
a
clinical
perspective,
the
benefits
can
be
even
greater:
All
around
the
world,
the
healthcare
industry
is
facing
dramatic
Sharing
information
across
disciplines
and
with
other
providers
can
changes.
In
the
U.S.,
for
example,
new
regulations
are
changing
result
in
better
outcomes
for
patients.
Healthcare
systems
will
be
payment
models,
and
health
care
providers
are
looking
ahead
to
able
to
eliminate
redundant
testing
and
help
prevent
mistakes.
the
new
requirements
that
providers
make
"meaningful
use"
of
Providers
will
have
better
access
to
lab
results
and
other
data,
electronic
health
records
(EHRs).
In
other
parts
of
the
world,
allowing
them
to
provide
better
treatment
plans.
In
the
end,
healthcare
systems
face
different
challenges,
including
economic
healthier
data
can
lead
to
healthier
patients.
uncertainty
and
political
unrest.
It's
often
difficult
to
predict
all
the
ways
that
healthcare
systems
will
evolve
as
a
result
of
those
changes.
However,
no
matter
what
the
future
brings,
healthcare
systems
will
be
better
prepared
if
they
take
steps
now
to
build
a
strong
foundation.
Some
refer
to
this
process
of
building
a
strong
foundation
as
"getting
your
house
in
order."
What
does
that
mean?
From
an
IT
perspective,
getting
your
house
in
order
means
recognizing
that
your
data
is
an
extremely
valuable
asset.
It
means
beginning
to
track
that
data
more
closely,
protecting
its
quality
and
analyzing
it
to
provide
greater
efficiency
and
better
outcomes
for
patients.
It
means
deploying
MDM
solutions
and
putting
policies
and
procedures
in
place
to
safeguard
data
and
manage
it
effectively.
In
addition
to
preparing
for
the
future,
healthcare
systems
that
begin
to
get
their
house
in
order
will
experience
significant
benefits
today.
From
a
business
perspective,
they'll
improve
customer
satisfaction
and
enjoy
greater
patient
and
provider
loyalty,
including
receiving
more
referrals.
They'll
decrease
marketing
and
staffing
costs,
and
do
a
better
job
of
coordinating
care
with
other
5.
Step
2:
Create
a
Single
Patient
View
• Standards-‐based
integration
capabilities.
It
shouldn't
be
necessary
to
update
all
legacy
systems
in
order
to
use
MDM
technology
—
that
approach
is
far
too
costly.
Instead,
the
right
solution
should
support
existing
applications
and
systems.
The
journey
to
healthier
data
involves
meeting
several
goals.
First,
organizations
must
establish
a
single,
consistent
patient
view.
Using
•
State-‐of-‐the-‐art
algorithms
for
cleaning
data.
This
an
MDM
solution
to
build
and
maintain
an
accurate,
unified
view
of
characteristic
feature
helps
eliminate
duplicate
data
and
the
patient
information
provides
the
foundation
for
moving
toward
associated
costs.
patient-‐centric
care.
• Extensibility.
An
MDM
solution
should
have
the
flexibility
to
adapt
to
changing
requirements.
To
remain
viable
in
today's
world,
healthcare
organizations
need
to
• Support
for
complex,
distributed
IT
environments.
In
transition
from
an
application-‐centric
view
of
data
to
a
patient-‐ healthcare
organizations,
this
kind
of
environment
is
the
centric
view
of
data.
Under
the
old,
application-‐centric
model,
norm.
staffers
re-‐entered
patient
information
into
multiple
systems,
.
multiple
times.
When
data
changed
because
of
a
new
diagnosis,
new
treatment
or
a
move,
staff
would
have
to
update
all
of
the
MDM
solutions
can
benefit
community
health
information
relevant
applications
manually.
More
often
than
not,
however,
this
exchange
(HIE)
projects
as
well
as
individual
healthcare
institutions.
step
didn’t
occur
in
all
applications,
causing
systems
to
get
out
of
However,
implementing
a
patient
MDM
solution
that
will
be
shared
sync.
The
outdated
data
resulted
in
wasted
time
for
patients
and
among
multiple
independent
providers
is
more
complicated
than
staff
and
sometimes
affected
the
quality
of
care.
In
contrast,
in
a
sharing
information
across
multiple
points
of
service
within
a
single
patient-‐centric
model,
healthcare
systems
maintain
a
unified
organization.
Regulatory
and
privacy
concerns
mean
that
the
MDM
repository
for
patient
information,
using
an
MDM
solution.
Under
solution
must
have
superior
security
and
controls
over
who
can
this
scenario,
providers
with
the
appropriate
permissions
can
access
access
patient
information.
relevant,
up-‐to-‐date
patient
data,
no
matter
what
the
point
of
care.
Changes
made
in
one
application
automatically
propagate
to
the
other
applications
used
by
the
healthcare
system.
When
evaluating
potential
MDM
solutions
for
creating
a
single
patient
view,
healthcare
systems
should
look
for
four
key
characteristics:
6.
Step
3:
Establish
a
Single
• Electronic
collaboration
tools
that
easily
identify
new
provider
information
and
issue
change
notifications
Provider
View
Recently,
the
Baylor
Health
Care
System,
located
in
Texas,
undertook
a
major
project
to
establish
a
unified
provider
registry
across
all
12
of
its
hospital
facilities
using
an
IBM
MDM
solution.
Accurate,
unified
provider
information
helps
organizations
improve
“We
wanted
to
transition
to
an
enterprisewide
system
that
provider
relations
and
lower
costs.
By
some
estimates,
incorrect
consolidated
all
identifiers
and
provider
information
into
one
provider
data
costs
U.S.
healthcare
organizations
$26
billion
per
system
to
create
a
composite
view,
and
standardize
practices
for
year
due
to
problems
such
as
returned
mail,
delayed
payments,
how
providers
are
managed
across
the
entire
Baylor
network,”
redundant
testing
and
dissatisfied
providers
who
stop
referring
explains
Diane
Ries,
manager
of
interface
services
for
the
Baylor
patients.
However,
having
an
accurate,
unified
provider
registry
can
Health
Care
System.
“With
IBM
Initiate
Provider,
we
can
more
help
organizations
reduce
costs,
improve
efficiencies
and
ultimately
accurately
define
providers,
centralize
demographic
and
improve
overall
patient
care.
An
accurate
registry
also
eliminates
credentialing
information,
and
distribute
that
information
out
to
duplicate
mailings,
helps
ensure
that
invoices
and
test
results
are
other
systems
from
one
location.”
In
addition,
the
new
system
routed
correctly,
and
improves
provider
satisfaction
and
referrals.
helped
Baylor
meet
compliance
requirements
and
improve
its
marketing
efforts.
Once
organizations
have
created
a
unified
system
for
managing
patient
data,
doing
the
same
for
provider
data
is
a
natural
next
step.
Key
features
to
look
for
when
evaluating
solutions
include:
• Support
for
both
individual
and
organizational
listings
in
a
single
platform
• Robust
matching
technologies
and
data
stewardship
tools
• The
ability
to
distinguish
between
internal
and
external
data
exchange
needs
• A
flexible
architecture
that
enables
data
exchange
and
supports
evolving
standards
• A
secure
location
where
users
can
view,
maintain
and
interact
with
provider
data