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Some of the time when using a FHIR interface, requests to create or update resource instances will behave exactly as the initiator requested. The desired record(s) will be created or revised within the target system and a subsequent query of the data would show the exact same information as was submitted. However, FHIR systems are not guaranteed to behave this way. Without any other agreement between exchange partners, FHIR systems are not obligated to store and return data as it was received. In fact, for some interoperability paradigms, they're not obligated to store any data at all. This page discusses some of the considerations around system behavior, including differences in expectations for systems interoperating using REST, messaging, documents and services.
The most common reason for differences between what data is submitted to a system and what data can be extracted from it is that the system doesn't support all of the data elements present in the instance received. In the base resource, no systems are required to support any particular set of extensions or even any particular subset of core elements.
For
elements
that
are
part
of
the
resource,
the
expectation
is
that
"most"
"most"
systems
will
support
the
element.
i.e.
i.e.,
most
systems
will
support
capturing
a
patient's
name,
gender
and
date
of
birth.
But
"most"
"most"
does
not
mean
"all".
"all".
It
is
possible
to
be
fully
FHIR
conformant
and
claim
to
support
the
Patient
resource,
but
be
incapable
of
storing
any
of
those
data
elements.
There
are
use-cases
where
names
may
be
unnecessary
(e.g.
(e.g.,
agricultural
veterinary
systems,
anonymized
reporting,
etc.)
and
similar
use-cases
for
almost
every
data
element.
No
FHIR
resource
elements
start
off
as
mustSupport
and
very
few
resource
elements
start
off
with
a
minimum
cardinality
other
than
"0".
"0".
In
the
case
of
extensions,
the
very
nature
of
a
concept
being
an
extension
means
that
the
designers
of
the
specification
expected
that
fewer
than
"most"
"most"
systems
would
support
the
element,
though
support
might
vary
widely
by
context.
An
extension
might
be
used
by
100%
of
systems
in
some
country,
discipline,
etc.
and
not
used
by
any
systems
in
another
context.
In
any
event,
there
is
no
guarantee
that
an
arbitrary
receiver
will
recognize
and
be
able
to
persist
any
given
extension.
In
order
to
know
whether
a
particular
data
element
is
likely
to
be
stored
by
a
given
server,
a
client
should
check
the
Capability
statement
of
that
server.
If,
for
a
given
resource,
the
StructureDefinition
pointed
to
indicates
that
the
element
or
extension
is
"mustSupport=true",
"mustSupport=true",
and
the
server
is
capable
of
storing
and
returning
data
in
general,
then
it
would
be
expected
that
the
system
will
be
capable
of
storing
and
returning
that
data
element.
(Some
servers
such
as
decision
support
systems
might
not
be
capable
of
storing
or
returning
any
received
data.)
All of these concerns around possibly not storing resource elements or extensions can hold whether the data is sent using REST , Messaging or Services . However, with documents , a consuming system is expected to accept the entire contents of the document without losing any information or altering it in any way.
Even if a system supports all of the data elements provided, not all systems will actually persist the data received or be capable of returning it in response to a query. mustSupport indicates that a system supports an element but does not prescribe exactly what the system must do with supported elements. Data might be persisted, displayed, relayed, analyzed, tabulated or used in a variety of other fashions. The behavior of a given system should be unsurprising given its context, but it is still important to recognize that not all systems will persist the data they receive.
Even if a system stores a given data element, that does not mean it will always include that element when responding to queries. Systems will have access permission rules that restrict who can see a given resource instance and, occasionally, who can see a particular data element within a resource. Systems responding to queries might suppress records or may adjust the content of resource instances to exclude data elements the querying system is not permitted to see.
Some
servers
may
add
additional
data
elements
(or
more
commonly,
extensions)
based
on
information
they
have
generated
or
inferred
from
data
in
the
resource,
from
other
resources
or
other
information
of
which
the
server
is
aware.
i.e.
i.e.,
an
instance
queried
after
being
created
or
updated
might
have
more
information
present
than
was
included
on
the
originally
submitted
record
Servers receiving updates from multiple sources may choose to be selective about what sources they choose to trust for updates to certain information. For example, a patient registry system might choose to only allow updates to name, gender and date of birth from administrative systems but not clinical systems. If a system filters out patient address information from being disclosed to a system when it queries, it will likely choose to not replace or eliminate the addresses it has on file when it receives an update from that system.
One
approach
commonly
followed
by
HL7
version
2
messaging
interfaces
is
to
not
update
any
elements
not
included
in
an
instance.
For
example,
if
a
Patient
instance
were
received
with
no
telecom
or
contact
information,
all
existing
telecom
and
contact
information
would
be
retained
and
only
those
elements
included
in
the
instance
would
be
updated.
This
Technically,
this
same
approach
can
be
followed
with
FHIR,
however,
however
it
would
be
atypical
and
unexpected.
Also,
unlike
HL7
V2
,
FHIR
does
not
have
a
defined
construct
to
use
to
indicate
that
a
particular
data
element
should
explicitly
be
set
to
empty.
empty
if
processing
a
PUT
in
a
mode
where
omitted
elements
are
typically
retained.
Systems
wishing
to
fully
emulate
HL7
v2
V2
behavior
will
need
to
use
an
extension
to
mirror
this
behavior.
One of the types of changes that can occur when a resource is created or updated is 'de-containing' a resource - i.e., taking a reference to a contained resource and turning it into a reference to a distinct resource based on pre-existing server information. Typically, this can occur when the server has access to business logic - specifically, statements about uniqueness that can be verified against some repository - that the client does not. However care should always be taken that the re-identification that occurs is reliable between invocations so that 'de-containment' is consistent.
While
changing
data
prior
to
storage
or
prior
to
returning
query
results
is
possible,
it
should
not
be
considered
"normal"
"normal"
behavior.
It
creates
several
challenges:
FHIR does provide a couple of mechanisms that can help with the issue of a system that has received only partial data overwriting data that was filtered from its record:
UPDATE
or
CREATE
request
that
is
tagged
as
SUBSETTED
Security
Label
can
be
used
,
and,
if
so,
how
to
Note that using either of the above mechanisms may constitute a security breach in circumstances where the individual or system accessing the data should not know that the record being reviewed has been modified in any way. (The presence of digital signatures would present a similar issue.)