Problem
Overview
NHS information teams have an ongoing challenge to ensure
that patient records are not duplicated or fragmented in
their various PAS and clinical systems. The scale of this
problem is formidable as legacy systems continue to create
new records, and the current processes to address this
problem struggle to keep pace. Failure to address the
challenge however can result in important information being
entered on one occurrence of a patient’s record but missed
from another, thus creating a risk that important patient
information can be inadvertently scattered on multiple
incidences of a patients record, and that on retrieving any
one of these fragments, a clinician may falsely believe it
to be the current and complete record.
Therefore, managing multiple and fragmented patient
records is important not only for information governance but
for clinical risk.
The National Program for IT (NPfIT) places a renewed focus
on the problem as the centralised care records services
(CRS) being deployed as part of NPfIT will receive migrated
patient data from the legacy systems of multiple,
geographically adjacent health providers. Many of the legacy
systems will hold information about the same patients, and
when records belonging to patients that already have data on
the central system are migrated to the CRS it is essential
they be properly merged to avoid duplicate/fragmented
records being created.
Typically, the CRS being deployed, such as Cerners’
Millennium system, are not designed to identify this type of
duplicate record at upload time. Therefore the data would
have to be first uploaded, and then the duplicates would
need to be subsequently identified and merged. This approach
has been deemed by the NHS to be an unacceptable solution as
it would pose a potentially high clinical governance risk as
the live CRS would hold multiple instances of a patient
record during the time it takes to identify and merge the
records.
Thus the challenge is now threefold, requiring a process to
handle:
- Resolving multiple patient records locally, prior
to migration, and
- Dealing with migrating patients who already have a
record in the central shared system (e.g. Millennium)
- Coordinating these activities with neighbouring health
providers with common patients and similar go live dates
All of this, of course, needs to be achieved within the
often aggressive deployment timescales.
IQAP have published guidelines for the merging of patient
records; document reference NPFIT-FNT-TO-DQM-0071.06 -
Merging Trust Master Patient Indexes (MPIs) into Shared
Instances, and Avoca have been leading the way in providing
an integrated solution to all of the challenges.
Solution – Identity Management
Avoca’s identity management tool, Data Synthesis,
identifies fragmented or duplicate records within a single
MPI, or across multiple MPIs. It is used by the NHS team to
resolve these issues within their local data and across
large scale shared domains to maintain a single patient
record, for the migration, and the already live system MPI.
Patient identity management is extremely sensitive and the
need for accuracy and information governance is critical. No
other company has as much knowledge of the complex processes
involved, or can offer the wealth of expertise Avoca has
gained in this mission critical area. Our pioneering work
for Fujitsu Services and Connecting for Health in the
delivery of a cluster wide solution for intra domain
de-duping of patient data is a first for any company
operating within the NHS.
Local identity management
When an individual health organisation is planning to
migrate their data to a central solution (such as Cerner’s
Millennium), they must first ensure that they have properly
resolved all fragmented records within their source data
(this is also an NHS (IQAP) mandate). Data Synthesis has
been used extensively on NPfIT data migration projects to
enable the NHS to create a clean MPI ready to migrate. NPfIT
projects that have used Avoca’s Data Synthesis to clean up
their MPI data ready to migrate to Millennium include:
- Barnet & Chase Farm NHS Trust
- Milton Keynes Hospital NHS Foundation Trust
- Queen Mary’s Sidcup NHS Trust
- Surrey and Sussex Healthcare NHS Trust
- Weston Area Health NHS Trust
- Winchester and Eastleigh Healthcare NHS Trust
On several of these projects a single MPI was created by
combining and deduping multiple MPIs from separate systems.
Individual or multiple MPI (master patient index) are
uploaded into Data Synthesis with no limit on the number of
records (typically an MPI will be in excess of 1.5 million
patient demographic records, but the software will support
many times this number). Once loaded into the Data Synthesis
database, the software executes a sequence of over 50
matching rules to identify fragmented/duplicate records.
These rules can utilise key demographic fields from both
source data and the National Tracing Service (NSTS). Many of
the rules exploit soundex and phoneme logic. Each rule is
uniquely identified and carries a score relating to the
degree of match. Only the highest scoring match is recorded
to avoid multiple counting and a detailed matching
statistics report is produced detailing the number of
records trapped by each matching rule.
The user is able to
review the matching results in a variety of different ways,
so that the review and resolution task can be distributed to
a number of staff, with each user being given a different
rule-set or category to review. The user can select to bulk
link large numbers of high-ranking matches or can review
individual records before confirming a link. Once the match
is confirmed by the user linking the records, the software
will execute the merge and produce a report and merged
output file.
Intra Domain Identity management
In 2006, the success of Avoca’s identity management
solution at a local level, led Fujitsu and the NHS to
commission Avoca to deliver a centrally managed service for
intra domain de-duping. Avoca provide the solution as a
managed service on behalf of Fujitsu, with the software
hosted centrally at the Fujitsu NPfIT data centre. The
solution is used by organisations in the Southern Cluster to
merge their migrating records with matching records already
present on the central system, prior to the upload. To allow
sufficient time for the NHS team to investigate potential
matches the work needs to commence well in advance of the
planned go live, the Avoca solution accommodates this by
providing functionality to receive regular refreshes of
source and Millennium data and tracks any changes.
The success of this service, known to Fujitsu as the Intra
Domain De-duping Tool (IDDT), has led CFH to commission
extensions in order to address the challenge of a split
hospital trust migration. Avoca’s identity management
solution helps resolve the patient numbering and case note
tracking problem that staggering the trust migration into
central Master Patient Index creates.
The latest version allows the domain deduping to be
synchronised with local ‘source system’ deduping. Data
Synthesis creates the appropriate insert and update files to
upload to the target system as a result of the users
actions. The merges are fully audited and any records that
are merged can be unmerged. As part of the record merge
output, Data Synthesis can generate HL7 merge messages to
feed back to the originating system or systems so that where
Data Synthesis merges records from the same source system,
the original source data can be merged.