On May 20th, London was the guest city for TforG’s launch of a series of workshops discussing the difficult market context in Europe and how potential solutions can assist providers to better absorb the changes.
The starting point and assumption is that nowadays products or devices do not compete at a single point in the patient treatment, but rather, that they have become part of a process; more specifically, part of a care delivery chain.
The workshops tackle issues such as:
Optimization of care processes
Facilitation of fast tracking
Reduction of time to diagnosis
Integration of expertise between hospitals and administrations
The role and limits of external influences (payers, HTA, guidelines, central purchasing etc.)
Anticipation of competing and game-changing technologies
TforG invites respected speakers coming from different angles in healthcare: care providers, Central Purchasing Organizations, Health Insurance companies, etc.
From its side, TforG presents its Business Intelligence-tool that supports MedTech suppliers in dealing with new challenges and change management: the TforG Care Tracks.
Last Tuesday, TforG invited Mr. Mario Varela, Managing Director NHS London Procurement Partnership and Prof Sebastian Brandner, Professor and Chair of Neuropathology.
Mr. Varela presented the role and challenges of his organization in the containment of the health care costs in the NHS hospitals. He specifically expanded on sharing and integrating the efforts, expertise and processes between hospitals and purchase organizations in the NHS. The limitations of centralization were also discussed.
Professor Brandner presented a project developed by his team using digital pathology and automated diagnostics to reduce the time to diagnosis and time to provide treatment for the patient.
Finally, Bart Ongena, VP Business Development at TforG, presented the TforG Care Track, a web based tool, providing the overview of patient pathways, bottlenecks, stakeholders, etc.
He presented a number of cases in which the TforG Care Track tool has assisted MedTech companies in applications, such as: design of go-to-market models, reduction of patient access time, positioning of new technologies, profiling of potential partners, etc.
The discussions between the participants and the speakers confirmed that the topics addressed are of major importance for the MedTech companies: the impact of reimbursement-rules on product positioning, the role of HTA in the go-to-market strategies, the market disturbance caused by over-centralized purchasing, etc.
The next stop on TforG’s European tour will be in Tübingen (Germany) on June 16th.
Other workshops are planned in Amsterdam, Geneva, Brussels, Paris and Copenhagen later this year.
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Does TforG offer MedTech companies a workable solution for the European markets under pressure?
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TforG Roadshow London
The Impact of Pressure on
HealthCare Expenditure
2. 2
- Bart Van den Mooter–
CEO TforG Group
London Roadshow
13. NHS London Procurement Partnership:
• A collaborative procurement organisation funded and
governed by our NHS members
• Established April 2006: Permanent
organisation since 2011
• Hosted by Guys and St Thomas
• Professional, operational and process efficiencies to
procurement and supply chain services
14. NHS London Procurement Partnership:
• Focus on NHS expenditure categories:
• Agency and Temporary Staffing
• Estates, Facilities and Professional Services
• Medical, Surgical and Supply Chain
• Medicines Optimisation and Pharmacy Procurement
• Technology
We now have £7-8bn of spend data, and influence £3bn of that
15. NHS London Procurement Partnership:
• Savings and improvements for the NHS through procurement
collaboration, supporting our members to deliver better
patient care:
£ 110m
£ 755m
2014-15:
Total 2006-15:
16.
17. Five Year Forward View and efficiency
• NHS’ long run performance on efficiency has been
0.8% annually
• This has risen to 1.5-2% in recent years (largely due
to pay restraints), but the NHS needs to repeatedly
achieve 2% net savings for the rest of the decade,
perhaps rising to 3% by the end of the period if
action is taken on prevention, new care models,
sustained social care services and wider system
improvements.
• This is a daunting task for NHS providers and one that requires
forensic analysis of costs and a coordinated programme of action to
support them
18.
19. • We know that the English health system represents better value for
taxpayers than any other health system in the world…..
• ……and we are sure we have hospitals that are up with the best in the
world in terms of operational efficiency……
• …..but we suspect our hospitals are not necessarily good at everything,
leading to inconsistency, and the average across the system is lower than it
should be……
• …..in fact we already know there are inexplicable differences in efficiencies
across providers…..
• …..so we need a process for identifying and addressing these performance
differences to help providers deliver the 2-3% required by 5YFV
Proposition
20. 1. We need a set of metrics that allow providers to compare themselves
with their peers, and help them identify opportunities for performance
improvement
2. We need a process that supports providers on this journey, and helps
them deliver and sustain these opportunities
3. We need to develop and deliver support mechanisms, be they local,
regional or national, to help providers improve their performance
4. We need to embed the approach so that providers are able to regularly
monitor their efficiency improvement, month-on-month, year-on-year
How can providers be helped?
21. • Health systems all over the world, be they ‘for profit’ or ‘not for profit’, have
adopted a common set of metrics to monitor and improve the performance of
their individual hospitals
• Hospitals in the US have been operating such metrics (Adjusted Admissions) for
nearly 50 years
• There is clear evidence that by adopting such an approach hospital efficiency
improves significantly – but we don’t have such a metric in the NHS
• By examining methodologies around the world, we have now developed a metric
for NHS providers, and with the enthusiastic support of 22 diverse providers, we
are confident this metric can support our vision to make NHS providers the most
efficient in the world by 2020
Metrics and vision
22. Identifying the opportunity – 6 areas of spend
NHS Providers
Prescribing costs
Pharmaceuticals services
DH & ALBs
Commissioning non-NHS
bodies
GPs
Training (doctors)
Dental
£72bn
£3bn
£5bn
£8bn
£2bn
£9bn
£13bn
£8bn
DH overall budget £120bn
Source NHS Accounts 2013-14
£45.35bn
£3.80bn
£0.65bn
£5.08bn
£0.99bn
£4.79bn
£3.69bn
£7.22bn
NHS Providers £72bn
Staff Costs
Clinical goods & services
Purchase of Healthcare from
non NHS bodies
Financing Costs
Clinical Negligence Costs
Common goods & services
Property
Inventories Consumed
£45bn Pay
£22bn Non-pay
£5bn Financing costs
Unless we address workforce and
pharmacy costs, all other savings
pale in to insignificance
All doctors
Qualified nursing, midwifery &
health visitors
Qualified scientific, therapeutic &
technical
Qualified ambulance staff
Support to Clinical staff
NHS infrastructure (central
functions / management)
£9.9bn
£13.1bn
£6.9bn
£7.4bn
£0.8bn
£6n
Pay £45bn
Influenceable Non-Pay £18bn
And we need more granular
data to forensically examine
cost differences
Pharmacy
Everyday
consumables
Medical
technologies
Common Goods &
Services
Estates
£6bn
£2bn
£3bn
£4bn
£3bn
Split between pharma, everyday
consumables and medtech is best
guess as £7.2bn is accounted for
by ‘inventories consumed’
2
1
3
4
5
6
6
23. • Developing and applying the Adjusted Admission metric to accounts data allows us
to see variation between trusts
• But we then need to forensically examine of every area of operating expenditure, so
we need granular detail
• To demonstrate how this can be done we have assembled a team of subject matter
experts and are working with a cohort of 22 trusts to better understand variances
and opportunities in 5 areas:
• Workforce
• Pharmacy
• Procurement (everyday consumables, medtech, and common
goods/services)
• Estates
• Pathology and Radiology
• We will have gathered and analysed detailed data by the end of March 2015
Process
24. Process continued
Feb 15 Mar 15 Apr 15 May 15 Jun 15 Jul 15 Aug 15 Sep 15 Oct 15 Nov 15 Dec 15 Jan 16 Feb 16 Mar 16 Apr 16
Develop and
validate a set
of efficiency
metrics for
NHS
Providers
Develop and
issue a
‘template’ for
selected
providers to
complete to
show how
each provider
has budgeted
for 15-16
(32 providers)
Roll out metrics and new ‘efficiency
performance support system’ for all NHS
Phase 1 Phase 2 Phase 3
Gather level 4
and 5 data from
22 cohort for:
• Workforce
• Pharma
• Estates
• Procurement
• Clinical
SR settlement
Learning
workshops with
32 providers to
help them
revisit their
plans
Gather level 4
and 5 data
from 10
further trusts
32 trusts to share
revised budget
plans with
programme
Establish size
of opportunity
Analysis to
inform
2016-17
tariff Agree individual
trust efficiency
plans for all
providers
Compile an
assessment of
where each
provider can
make savings
and issue to
32 trusts
• 3 stage process
• Phase 1 is to develop and apply the metrics to 32 trusts
• Phase 2 is to forensically examine costs in the 22 and help them with their
budget planning for 2015-16. This will also help us understand the ‘size of the
prize’ for all NHS efficiency
• Phase 3 is to both roll out the approach to all NHS trusts and deliver support
solutions at local, regional and national level to help trusts improve their
efficiency performance
25. Gathering line level
detail…….
Workforce
Pharmacy
Medtech/Clinical
Everyday supplies
Common Goods/Services
Estates
Procurement:DatadrawnfromAP/POsystemsforperiod??
• Data drawn from trust systems for every ward for Feb 2015
• Looking at doctors and other areas such as pathology
• Led by Lyn McIntyre
• Data drawn from pharmacy systems
• Focusing on pharmacy optimisation, usage and
procurement
• Led by Ann Jacklin and Keith Ridge
• Global best practice
• Development of ‘core list’
• NHS Supply Chain (procurement & logistics)
• Compliance processes and systems
• Led by Andy Jones and FOM team
• Looking at clinical practice and supporting supply chains
• Building on ‘Getting it right first time’
• Looking at 10 clinical specialties
• Engaging clinicians in the management of device costs
• Changing the relationship with the medtech industry
• Led by Prof Tim Briggs, Rob Hurd and Andy Brown
• Global best practice
• Solving the ‘non-stock’ conundrum in trusts
• CCS
• Led by Anthony Doyle
13,9
7,8
7,8
8,9
15,2
13,7
Investment Capacity
Space Productivity
Resource Productivity
-Estates & Facilities
Running Costs Efficiency
Environmental
Performance
!Estates Compliance,
Safety & Risk
• Data drawn from ERIC
• Led by David Harrison
Pathology/Radiology services
• Led by Phil Hudson
30. Understanding the LPP collaborative /1:
• LPP represents, and is governed by, its NHS
members:
• Steering Board
• Executive Management
Board
• Category Boards
• Acute and Mental Health
stakeholder meetings
Workplanning and relevant priorities are agreed in
consultation with members at every stage
31. Understanding the LPP collaborative /2:
• A collaborative member-led approach to work
planning, with decisions made according to
members needs
• LPP is funded by its NHS members,
and must demonstrate savings
and added value for each member’s
investment in the service we
provide
32. Understanding the LPP collaborative /3:
For 2013-16, this translates into:
• Targeting £3bn of London’s £6bn influenceable
spend through a core set of category priorities
• Achieving a minimum saving of £300m/5 per
cent
• Providing transparent, trackable and easily
identifiable savings
33. Understanding the LPP collaborative /4:
For 2013-16, this translates into:
• Providing professional procurement expertise
and added value services such as benchmarking
and analytics, and e-sourcing tools
• Working more closely than ever
with other NHS procurement hubs
34. Collaborating across the NHS: the NHS Collaborative
Procurement Partnership
• NHS London Procurement Partnership
• North of England Commercial Procurement Collaborative
• East of England Commercial Procurement Hub
• NHS Commercial Solutions
• Opening up frameworks
• Reducing duplication
• Creating new national opportunities:
• National Collaborative Framework for the
supply of Nursing and Nursing related staff
• Total Orthopaedic Solutions
• Total Cardiology Solutions
37. UCL DEPARTMENT OF GEOGRAPHYUCL INSTITUTE OF NEUROLOGY
Using digital pathology to improve
workflow and cut turnaround times:
A feasibility study
Sebastian Brandner, UCL Institute of Neurology,
and The National Hospital for Neurology and
Neurosurgery
Queen Square, London
38. UCL INSTITUTE OF NEUROLOGY
Integration of molecular diagnostic into the
histopathology workflow using digital
pathology
• Molecular diagnostics in the context of the cancer
pathway.
• Diagnostic Neuropathology: From morphological to
integrated molecular diagnostics.
• Apply lean principles to molecular diagnostic workflow.
• Establishing a rapid throughput image analysis pathway
for tissue-based molecular diagnostics.
39. UCL INSTITUTE OF NEUROLOGY
A&E
Tertiary
2WW
A&E
Royal London
Newham
Whipps Cross
Homerton
NHNN
Referral
(with CT and MRI)
SMDT to
discuss
treatment
options
Local clinic
to discuss
treatment
options
Diagnosis
giving
Surgical
Treatment Recurrence
UCLH
Mount
Vernon
BH
Tertiary / GP
RL
Southend
Basildon
Harlow
Chelmsford
Newham
Whipps Cross
Homerton
Moorfields
BH*
NHNN NHNN
Ward
attended
NHNN
Inpatient
at
NHNN
Clinic
appt at
BH
Clinic at
NHNN
(low
grade)
Surgical
follow
NHNN
BH*
Oncology
0-14
Max 28 days
Pathology
The NE London Cancer Pathway for
malignant brain tumours
1-3d
8-15 d
Histology
Mol Path
41. UCL INSTITUTE OF NEUROLOGY
Neuropathology turnaround times at NHNN
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
0,9
1
1 2 3 4 5 6 7 8 9 10 15 20 30 60 90
Cumulativefraction
TAT (Days)
Mol Path 2014 (675) Mol Path 2015 (208)
GBM Histology (108) All Surgical Pathology (751)
42. UCL INSTITUTE OF NEUROLOGY
Turnaround time and clinical oncology
information
• Histological diagnosis of common brain tumours:
90% in 3 days
– Patients can be referred back to local hospital
– Treatment plan can be devised in most cases
• Complete molecular integrated diagnosis:
90% in 15 days
– Delay in allocation to clinical trials possible
– Delay in final decision making re treatment plan
43. UCL INSTITUTE OF NEUROLOGY
Workflow difference between DNA based and
tissue based assays
• Specimen frequency 1-3/day
– Nucleic acid based: 4-8 per week, batch of tests
– Tissue based: daily test, along with IHC, on machine
Mon Tue Wed Thu Fri Sat Sun Mon
AM PM AM PM AM PM AM PM AM PM AM PM
DNA based: batching Sample Test Sample
TAT 1-5 days +WE Sample Test
Sample Test
Sample Test
Sample Test
Sample Test
Sample Test
Reports
Tissue based: queue Sample Test Sample Test Sample Test Sample Test Sample
TAT 1 day + WE Sample Test Sample Test
Sample Test Test
Reports Reports Reports Reports Reports
44. UCL INSTITUTE OF NEUROLOGY
Process A Process B Process C
Batch and queue processing
10 min 10 min 10 min
30 minutes total order
21 minutes first product
Continuous flow processing
Process A Process B Process C
12 minutes total order
3 minutes first product
45. UCL INSTITUTE OF NEUROLOGY
Detection and quantification of chromosomal
losses in SISH slides
• Aim: to develop a fast-track image analysis to
detect SISH signals on FFPE tissue
• Procedure:
– Use established (HER2) control slides from ROCHE
– Setting up image analysis algorithm in Definiens Tissue
Studio and Developer
– Validating image analysis algorithm
46. UCL INSTITUTE OF NEUROLOGY
Specimen preparation and staining
Preparation of
histological
slides
Diagnostic
decision
making
Choice of test QC: Visual inspection of slide
12-24 h
Surgical removal of
tissue
4 h
Automated
IHC, CISH or
SISH
8h 10 min
Tissue processing
in PathLab
Experimental
tissues
47. UCL INSTITUTE OF NEUROLOGY
Digitising and automated image analysis
Slide scanning
File archiving
Web based slide
management
Submission for
image analysisSlides
Image analysis
Data output to user
1h 20min 1h
48. UCL INSTITUTE OF NEUROLOGY
Definiens Developer and Tissue Studio
Identification of region of interest
(Ventana control slide; HER2)
Regions of interest in detail
49. UCL INSTITUTE OF NEUROLOGY
High magnification of signal within ROI
50. UCL INSTITUTE OF NEUROLOGY
Definiens Developer and Tissue Studio
First nuclear identification
52. UCL INSTITUTE OF NEUROLOGY
• Result: all nuclei are
identified and
segmented within the
ROI
53. UCL INSTITUTE OF NEUROLOGY
Spot identification (ISH signal)
Red= red signal, blue= silver signal
54. UCL INSTITUTE OF NEUROLOGY
Representation of ISH signal on sectioned
nuclei
Section 2.5-4μm
Nucleus
~10μm
55. UCL INSTITUTE OF NEUROLOGY
Validation step: identification and
visualisation of red and silver spots
code Red Silver
2 0
2 1
1 0
0 2
1 1
0 1
2 2
1 1
0 0
56. UCL INSTITUTE OF NEUROLOGY
Result: Segmentation and spot quantification
57. UCL INSTITUTE OF NEUROLOGY
Data output: counts of red and silver spots in
test slide
Feature Value Red Silver
No Spots 3270 0 0
Red 1 Silver 1 504 504 504
Red 1 Silver 2 237 237 474
Red 2 Silver 1 213 426 213
Red 2 Silver 2 126 252 252
1419 1443
Red spots (total) 4713
Silver spots (total) 5667
58. UCL INSTITUTE OF NEUROLOGY
Conclusion: image analysis of ISH signal
• Accurate determination of ISH spot count in tissue
sections
• 1000’s of nuclei counted in minutes (5000 in our ROI)
• Superior to manual counting of FISH nuclei (usually 100)
59. UCL INSTITUTE OF NEUROLOGY
Conclusions
• Proof of principle to use tissue based molecular
diagnostics can be used
• Further evaluation includes
– Cost effectiveness (probes)
– Accuracy on routine diagnostic material
– User interface to select region of interest
– Actual turnaround
60. UCL INSTITUTE OF NEUROLOGY
0,00
0,10
0,20
0,30
0,40
0,50
0,60
0,70
0,80
0,90
1,00
1 2 3 4 5 6 7 8 9 10 15 20 30 60 90
Turnaround Histology and Molecular Pathology with
Future Aims
GBM Histology (108) All Surgical Pathology (751) Mol Path 2014 (675) MolPAth 2015 (208) Digital Pathology: aim
61. UCL INSTITUTE OF NEUROLOGY
What would be the impact on patient care and
patient pathway:
• Oncologists know the result when discharging
patient (4-8 d)
• No additional visit to specialist hospital needed to
discuss diagnoses
• Treatment plan can be devised during hospital
stay and is ready when patient discharged for
adjuvant therapy at local hospital
62. UCL INSTITUTE OF NEUROLOGY
Thanks to….
Division of Neuropathology UCL-IoN
Matthew Ellis: Implementation of all tissue analysis algorithms and implementation
of digital imaging workflow. Complete analysis of muscle, nerve and tumours
UCL IQPath team
Angela Richard Loendt (lead) with Tamsin Wilkins, Francesca Launchbury and
Jessica Broni
Preparation of histological slides, slides scanning and data management
Definiens, Munich
Tamara Haeberlin; Bjorn Reiss, Jan Schoblocher
Roche diagnostics (HER slides)
Alex McDonald
63. 63
- Bart Ongena –
VP Business Development TforG
TforG CareTracks