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#Post#: 125--------------------------------------------------
The Importance of Relevant Clinical Information
By: admini5 Date: May 12, 2015, 4:54 am
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While the original QIPP programme was initially designed to
cover 2010/11, current planning assumptions are based on a
continued squeeze up to 2021/22 to reduce spending from a
current level of 8% of GDP to just over 6%. To consolidate the
£3.8 billion Better Care Fund budget for 2015/16, providers are
required to cut emergency and elective activity to free an
additional £1.8 billion of NHS allocations. The current funding
constraints are more severe and sustained than ever. They come
during a major reorganisation and cannot be addressed by
reduction of quality (4h A&E, RTT, 12h admission, 2w cancer,
etc.) due to CQINN targets. In consequence, large deficits are
now forecast for trusts and CCGs where unsustainable measures
are in place (e.g. freezing pay, PbR tariff reductions,
prescribing). In the face of this, trusts and CCGs need to think
and act more collectively about their local health economy and
seek guidance on how services in all local healthcare settings
are provided.
To this end, they should rely on information that is clinically
relevant and can drive clinical change and is not based purely
on statistics and variances. Information for QIPP/CIP
initiatives that is based on variances and statistics does not
take into account real people with clinical needs. It often
informs clinicians that there may be a certain number of
patients that have similar conditions or that there are too many
referrals, attendances or admissions based on national or local
benchmarks. However, such information alone seldom leads to
successful initiative implementations due to the cross over from
statistical to clinical information domains. For example,
weather data should be used to predict the weather, not the
number of birds in the sky – although there might be a
loose correlation.
On the other hand, QIPP/CIP information based on clinical
information including patient history, presenting acuity and
severity, and future risk scores can be mapped against service
definitions of initiatives successfully implemented elsewhere.
Identification of patient cohorts based on clinical metrics that
are in need of a local service leads to successful services and
better patient outcomes. Since no information domain cross-overs
occurred (clinical information for clinical services), the
“language” and service definitions are consistent
supporting implementation and change management.
The challenge here is that there are hundreds of successfully
implemented QIPP initiatives within the NHS with different
service specifications making it hard to find the ones relevant
for your CCG or provider trust. Also, without the ability to
monitor ongoing implementations, incentives to encourage
improvements are difficult to manage in the short term. A system
is required that helps CCGs and trusts identify, impact-measure
and monitor initiatives before they are included in medium to
long term strategic planning or piloted for testing. Such a
system should also have the ability to monitor ongoing
initiatives on a monthly basis. Furthermore, this system should
use clinical information to find clinical services, calculate
the total opportunity and also allow demand simulations for many
different scenarios (not just best and worst case).
The King’s Fund has highlighted the fact that health
economy or region-wide service changes can be planned and
progressed via collective action by national organisations and
academic health sciences identifying and modelling service
reconfiguration. With the provision of clear evidence based on
clinical metrics, greater clinical engagement and leadership can
be achieved leading to successful change management. In other
words, by addressing these clinical drivers, unwarranted
variations can be tackled and sustainable levels of change based
on suitable QIPP/CIP initiatives can be achieved.
i5 Health as developed the Commissioning Opportunities (COP)
report and tool-set that enables identification of QIPP/CIP,
Co-Commissioning and BCF initiatives based on clinical metrics,
not statistics, using de-identified local or regional activity
data. By applying hundreds of service specification rules to a
CCG’s or provider trust’s activity data, i5 Health
has that ability to match real patients to real initiatives
providing actionable results that lead to real results.
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