SlideShare une entreprise Scribd logo
1  sur  72
Evolution of Strategies for
Survival and Growth in
Pathology and Laboratory
Medicine

Robert Boorstein, MD, PhD
Strategies for Survival and Growth
in Pathology of Medicine
 Consolidation
 Automation
 Specialization
 Quality Management and Integrated
  Decision Making
Strategy
   A plan, method, or series of maneuvers or
    stratagems for obtaining a specific goal or result
    (dictionary.com)
   The science of military command, or the science
    of projecting campaigns and directing great
    military movements (Websters)
   The commitment of resources in support of the
    mission in pursuit of defined and measurable
    ends (NYU Stern Business School).
Strategies for Survival and Growth
in Pathology of Medicine
 Consolidation
 Automation
 Specialization
 Quality Management and Integrated
  Decision Making
Types of Laboratory Consolidations

 Across institutions
 Within institutions, parallel services
 Within institutions, different services
Pressures for Consolidation (Push)

 Personnel Costs
 Equipment Costs
 Regulatory Burdens
 Demands for Space
 Closure of Residency Programs
Pressures for Consolidation (Pull)

 High- throughput, high capital cost
  equipment
 Centralized and standardized LIS and HIS
  systems
 Unified corporate leadership
Laboratory consolidations: Phase
1:Bellevue as reference lab
   Gouverneur (1997)
   Coler Goldwater
    (1999)
   Metropolitan/Belvis
    (1999)
   Morrisania (1999)
   Lincoln (1999)
   Harlem,
    Renaissance (2000)
Development of a consolidated
laboratory network

         Bellevue Hospital


                                 Lincoln Hospital


                               Metropolitan Hospital


                                 Harlem Hospital


                             Coler/GoldwaterHospitals
   New York City Health and Hospitals Corporatio
Laboratory Organization, South Manhattan
Healthcare Network and Generations
Plus/Northern Manhattan Health Network
   Large central referral facility on the
    Bellevue site
     Full service specialized and routine clinical
      laboratory services
     Full service academic anatomic pathology
      services
     Stat and point of care services appropriate for
      trauma, tertiary care and primary care
      services
Laboratory Organization, South Manhattan
Healthcare Network and Generations
Plus/Northern Manhattan Health Network
   Acute care facilities
     Anatomic  Pathology (surgical pathology,
      frozen sections, cytology)
     Rapid Response Laboratories
   Chronic care facilities
     Rapid   Response Laboratories
   Ambulatory care facilities
     Sample   collection only
Flow of work to Bellevue
                    Bellevue Hospital Laboratory


        Metropolitan
                                                      Belvis
  (Rapid Response and AP)

         Lincoln
                                                    Morrisania
 (Rapid Response and AP)

         Harlem
                                                   Renaissance
 (Rapid Response and AP)

      Coler Goldwater
                                                   Gouverneur
     (Rapid Response)
Effect of consolidation, impact of
network on overall volume at Bellevue

Area                        Network %
Clinical Laboratories       60%

Surgical Pathology          5%

Autopsy                     55%

Cytology                    75%
Effects of Consolidation,
employee productivity

   YEAR        ACTUAL FTE   WORKLOAD     WORKLOAD/FTE

 7/98 - 6/99      226.5      1,846,215         8151

 7/99 - 6/00      256.5      3,968,427        15471

 7/00 - 6/01      257.0      4,284,997        16673

 7/01 - 6/02      253.5      4,635,763        18287

7/02 - 12/02      228.5      4,608,688        20169
Factors for successful consolidation
   Clear leadership
     At the organization level
     At the department/operations level
 Clear mission
 Information management
 Transport
 Flexibility
Factors for successful consolidation
   Clear leadership
     At the organization level
     At the department/operations level
     No turning back!!!

   Clear mission
   Information management
   Transport
   Flexibility
Factors for successful consolidation

 Clear leadership
 Clear mission
 Information management
 Transport
 Flexibility
NYCHHC Strategic Priorities
HHC has set several strategic priorities to insure that we continue the
   improvements and innovations that have distinguished New York City's
   public hospital system in the months and years ahead.
Patient Safety - HHC's multi-year campaign to reduce medical errors, prevent
   infections, pneumonia and cardiac arrests.
Quality & Safety Performance - HHC publishes its quality record, inviting public
   comparison with state and national performance averages.
Access to Healthcare - Providing Quality Healthcare for ALL New Yorkers.
Technology - HHC has marked its place as a medical innovator by investing in
   advanced, integrated technology throughout its facilities.
Modernization - HHC's ongoing capital program to ensure that our public
   hospitals continue to provide state-of-the-art medical treatment.
Factors for successful consolidation
   Clear leadership
   Clear mission
     At the level of organization
     At the level of the department
     Within each division

   Information management
   Transport
   Flexibility
Factors for successful consolidation
   Clear leadership
   Clear mission
   Information management
     Singlesystem across all facilities
     Commitment to paperless ordering and resulting
     Bar-coding of all samples

   Transport
   Flexibility
Factors for successful consolidation
   Clear leadership
   Clear mission
   Information management
   Transport
     Essential
     Responsive  to client needs
     Reality based

   Flexibility
Factors for successful consolidation
   Clear leadership
   Clear mission
   Information management
   Transport
   Flexibility
     Planning cannot predict all eventualities
     At go live, willingness to adjust while moving forward
     Can judiciously skip less critical components of a
      consolidation, as long as key objectives are attained
Factors inhibiting successful
consolidation efforts
   Failure to recognize and respect clinical
    needs of new clients
       In conclusion, our system has benefited from the consolidation efforts and the
        implementation of the TLA system. The actual dollar savings are predicated on
        the remaining hospitals coming live and their willingness or ability to make the
        necessary staff reductions. Although our system remains in the growth phase, we
        have realized our efficiencies in TAT for those hospitals brought live. Clinical Chemistry 46: 751-
        756, 2000


 Labor instability
 Politics, institutional and community
 Unpredictable events
The real world
Consolidation, Phase 2: Coordinated
Delivery of Laboratory service to all
sites
 Integrated management structure (2001-
  2002)
 Standardization of test menus, normal
  ranges, and clinical indications (2003)
 Standardization of all major laboratory
  systems (2003-2008)
 Automation of accessioning and sample
  handling at referral sites (2003-2008?)
Phase 2, continued
 Autopsy to Bellevue (2002+)
 All Lincoln cytology to Bellevue (2003)
Internal Consolidations
 Pediatric and Adult Hematology
 Serology and Immunoassays
 Anatomic Pathology
Benefits of Consolidation
 Reduction of unit labor costs.
 Reduction of unit capital costs.
 Reduction of unit space costs.
 Standardization of quality at high level.
Strategies for Survival and Growth
in Pathology of Medicine
 Consolidation
 Automation
 Specialization
 Quality Management and Integrated
  Decision Making
Increased Role of Automation in
the clinical laboratory
                   Reduction of manual
                    processes
                   Reduced error rate in
                    aliquotting and specimen
                    movement
                   Improved turnaround time
                   Reduction in sample
                    volumes needed for
                    analysis
Benefits of automation
 Run more tests.
 Test in fewer sites.
 Operate with fewer instruments.
 Retain lower operating costs.
 Employ relatively less skilled labor.
 Use more automation in a paperless
  environment.
                         http://www.devicelink.com/ivdt/archive/99/07/010.html
Automation strategies
   Total laboratory automation (i.e. Beth Israel, NY
    Cornell, North Shore, Mt Sinai).
       High upfront capital costs (10-20 million)
       High demand on IS infrastructure

   Networked, modular, incremental automation (HHC
    model) Highly efficient analytical instruments, handling
    high volumes with redundancy
       Automated sample handling, and sorting, utilizing tracked
        systems
       Automation at referral sites

   Core laboratory
Steps in automation
Front end processing


                         Transfer to analytical systems


                       Distribution to analytic instruments


                           Analytical instrumentation


                                   Verification


                       Back end processing and storage
Thinking about automation
   What is the real goal of automation?
   If the goal is labor saving, which steps really use
    the most labor?
   If the goal is quality or time savings, automating
    which steps will give those benefits?
   If the goal is to increase capacity (and thus
    reduce unit labor costs), is the business really
    available, and what are the barriers to serving
    new customers?
Assessing success in automation

   “Laboratory A” core lab currently
    processes 2500–3000 tests per day.
    Since it implemented automation with
    robotics, the lab has increased test
    volume by 20%, reduced sample
    turnaround times by 11%, and saved
    $100,000 in staff salaries.
                             http://www.devicelink.com/ivdt/archive/99/07/010.html
Return on investment
 Total laboratory automation often
  consumed $15-20 million in Capital costs
  for acquisition, site preparation, relocation
  and transition costs.
 Which of the successes are due not to the
  main automation, but to concurrent
  processes that make sense independent
  of TLA?
Laboratory Workload and Cost sharing




   80% of the costs in the laboratory belongs to the pre-
    and post analytical processes, only 20% to the
    analytical part...
Factors for success
 Work station consolidation
 Front end automation (accessioning,
  centrifugation, aliqotting)
 Improved informatics (bar coding, no
  paper)
 Changes in labor rules
Steps in automation
                              Front end processing
                        Accessioning, centrifugation, aliquotting


Remote order entry, bar coding


                                                            Transfer to analytical system


                                                        Distribution to analytic instruments


                                                            Analytical instrumentation
                                                            Workstation Consolidation


                                                                    Verification


                                                         Back end processing and storage


                                                                Electronic Reporting
Steps in automation
                              Front end processing
                        Accessioning, centrifugation, aliquotting


Remote order entry, bar coding


                                                            Transfer to analytical system


                                                        Distribution to analytic instruments


                                                            Analytical instrumentation
                                                            Workstation Consolidation


                                                                    Verification


                                                         Back end processing and storage


                                                                Electronic Reporting
Recipes for failure
   Extended delays in implementation due to
    complexity and demands on IT
   Loss of leverage with vendors
   Lock in old technology
   Increased need for high paid staff
   Inability to reduce staff
   Failure to reach planned, and paid for, growth
     “The  lab currently processes 4000 tests per day, and
      has the capability to expand to more than 25,000
      tests per day”
Factors essential for laboratory growth,
perhaps more important than automation

 Work station consolidation
 Front end automation
 Specimen ID and tracking
 Billing and Collections
 Transport
 Customer Service
Automation can follow growth:
Modular incremental automation
 Minimal upfront capital or site preparation
  costs.
 Equipment amortized into reagent
  purchases.
 Scalable
 Ongoing instrument modernization
Automation can follow growth
Lab Area      Manufacturer             Model
 Individual Components
                                                   Chemistry     Beckman Coulter          DxC
                                                                                          AU


Analyzer Interfaces                                              Roche
                                                                 OCD
                                                                 Abbott /Toshiba
                                                                                          Modular
                                                                                          250, 950
                                                                                          Aeroset, 80FR,
                                                                                          200FR


                                                   Immuno        Beckman Coulter          DxI
                                                                 Abbott                   AxSym, Architect


                                                                 Siemens                  Centaur

   Siemens Atlas and Centaur           Stago R                   Tosoh                    AIA21
                                                                 OCD                      Eci
                                                                 Fujirebio                Lumipulse F


                                                   Coag          Beckman Coulter          TOP-LAS


                                                                 Stago                    Sta-r
                                                                 Sysmex                   CA-6000
                                                   Heme          Beckman Coulter          LH 750/755

                                                                 Sysmex                   HST
     Roche Modular             OCD 950, 250, ECI
                                                   Urinalysis    Siemens                  Atlas
                                                                 Sysmex                   UA-2000



                                                     Trademarks are property of the respective
                                                     Manufacturers
Single Testing and Sample
 Management Workstation!
                      Sample
                      Management


                                         CBC, Diff,
A1c                                      Retic Testing
    Tes
        ti   ng




                                    Smear staining

                      Smear
                      preparation




       Frees-up non-productive
        labor!
Strategies for Survival and Growth
in Pathology of Medicine
 Consolidation
 Automation
 Specialization
 Quality Management and Integrated
  Decision Making
What drives Specialization
 Build on existing expertise (supply)
 Meet needs of existing clients, leveraging
  existing transport, IT, and customer
  service relationships (demand)
Specialization
 High volume, High value
 High volume, Low value
 Low volume, High value
 Low volume, Low value
Programs built on Existing
Strengths
 Cytology
 Neuropathology
 Cytogenetics
 Hemoglobin Analysis
 Tuberculosis
 GC/Chlamydia
Programs built de novo based on
clinical need
 HIV, HBV, HCV viral loads
 Maternal Fetal Defect testing
 Lead testing
 GC/Chlamydia/HPV
 Colon Cancer Screening Colon Sentry
Molecular Virology
Integrated cytogenetics analysis
systems
Tuberculosis
Amplified GC/Chlamydia
Approach to specialization
 High volumes
 Push modular automation using
  experiences across disciplines
 Based on clinical demand
Approach to specialization
   Clinical and translational research
Project Findings Show Asian
American New Yorkers Have a High
Burden of Hepatitis B Infection
   NEW YORK, August 9, 2005 –The
    Center for the Study of Asian American Health at New
    York University School of Medicine, the central
    coordinating agency for the NYC Asian American
    Hepatitis B Program has received a total of $2.6 million
    to continue its work in screening, educating, vaccinating,
    and treating Asian Americans in New York City for
    hepatitis B. $1.7 million of the grant is from the New York
    City Council with the remainder as matching funds from
    the New York State and City Departments of Health. The
    Program is a made up of a coalition of healthcare and
    community-based organizations across the city.
Strategies for Survival and Growth
in Pathology of Medicine
 Consolidation
 Automation
 Specialization
 Quality Management and Integrated
  Decision Making
Leadership in Patient Safety Goal
implementation
 Patient and specimen ID
 Critical Values
Test use rationalization
 CK-MB vs troponin
 Lipase vs amylase
 Algorithm based thyroid function testing
Involvement in core measures related to
quality and reimbursement

 Diabetes management and HgbA1C
 Nosocomial infections
 Timeliness of treatment of pneumonia
 Stat TAT
Bellevue Hospital Center
                                                 South Manhattan Healthcare Network
                                                  462 First Ave & 27th St, New York, NY 10016




ER Turnaround Time Timeline
                              Emergency/STATS Test TAT Timeline (minutes)
  0'                  16'                                                     56'                                  89'


Order                Draw                                                 Received                                Resulted



  Order to Draw: 16 minutes



  Order to Received: 56 minutes



  Order to Resulted: 89 minutes



                       Draw to Received: 40 minutes



                       Draw to Resulted: 73 minutes



                                                                               Received to Resulted: 33 minutes
Roles in new programs
 HIV screening
 Stroke program
Lincoln Medical and Mental Health Center
           Stroke Monitor 2007
  MONTH     # OF STROKES   CBC TAT < 15'   PT/APTT TAT <30'   BMP TAT<30'                 COMMENT

DECEMBER         2              4                14               29

 JANUARY         6              3.4              21.6            18.6       one stroke specime trax to BB

FEBRUARY         6              3.2              24.8            19.4       1 hmlz,1 not announced

 MARCH           11             3.2              20.7             17        1 stroke with only Coag Reque

  APRIL          8              2.7              14.9            14.3       2 hemolyzed

  MAY            8              5.5              17.2            15.4       2 hemolyzed

  JUNE           6              4.2              11.2            13.8       1 chem hemolyzed

  JULY           13             3                17              18.5

 AUGUST          12             3.5              20               14

SEPTEMBER        11             2.8              19.8            17.6       chem4hml-ptptt-1qns

OCTOBER          10             4.6              14              16.5       chem1 heml-ptptt-2qns

NOVEMBER         11             2.9              14.9            11.9

DECEMBER         5              8                17.4            19.6
Driving home quality principles
   New pathology system, LIS and Anatomic
     Remote   order entry with bar codes
     Results to Doctors’ queues
     Voice recognition at grossing.
     Integrated reporting
     Double label, computer directed cassette labeling
     Etched slides with barcodes.
Conclusions
 People are crucial
 Success is built on common vision
 Resources must be committed
 Needs and solutions are local
Future trends
   Laboratory Consolidation
       Driven by Resource Issues, personnel and capital
   Oversight of test utilization
       Accountable Care Organizations, Insurers, Capitation
   Algorithm based results
   Competition from sole source branded products
       Brca1, OncotypeDX, etc.
Strategies for Growth and Survival of Pathology Departments
Strategies for Growth and Survival of Pathology Departments

Contenu connexe

Tendances

Lean Six Sigma for Health Care Scheduling
Lean Six Sigma for Health Care SchedulingLean Six Sigma for Health Care Scheduling
Lean Six Sigma for Health Care SchedulingWilliam Reau
 
Robert E. Parson Resume
Robert E. Parson ResumeRobert E. Parson Resume
Robert E. Parson Resumebpstat
 
Clinical data management
Clinical data managementClinical data management
Clinical data managementDibakarGhosh15
 
Primer in quality improvement in radiology department
Primer in quality improvement in radiology departmentPrimer in quality improvement in radiology department
Primer in quality improvement in radiology departmentAhmed Bahnassy
 
Protocol Understanding_Katalyst HLS
Protocol Understanding_Katalyst HLSProtocol Understanding_Katalyst HLS
Protocol Understanding_Katalyst HLSKatalyst HLS
 
Navigating the Complexity of Virtual Clinical Trials
Navigating the Complexity of Virtual Clinical TrialsNavigating the Complexity of Virtual Clinical Trials
Navigating the Complexity of Virtual Clinical TrialsEmily Kunka, MS, CCRP
 
Health IT Summit Austin 2013 - Keynote Presentation "Meaningful Use Stage 2 a...
Health IT Summit Austin 2013 - Keynote Presentation "Meaningful Use Stage 2 a...Health IT Summit Austin 2013 - Keynote Presentation "Meaningful Use Stage 2 a...
Health IT Summit Austin 2013 - Keynote Presentation "Meaningful Use Stage 2 a...Health IT Conference – iHT2
 
Quality Management Systems in Radiotherapy based on ISO 9001 standard
Quality Management Systems in Radiotherapy based on ISO 9001 standardQuality Management Systems in Radiotherapy based on ISO 9001 standard
Quality Management Systems in Radiotherapy based on ISO 9001 standardVal Antoff
 
iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...
iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...
iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...Health IT Conference – iHT2
 
Streamlining Data Management Start-up
Streamlining Data Management Start-upStreamlining Data Management Start-up
Streamlining Data Management Start-upjbarag
 
2014 December 16 - eHI Survey Summary - BLUE AND GRAY LAY OUT BY WARREN - FINAL
2014 December 16 - eHI Survey Summary - BLUE AND GRAY LAY OUT BY WARREN - FINAL2014 December 16 - eHI Survey Summary - BLUE AND GRAY LAY OUT BY WARREN - FINAL
2014 December 16 - eHI Survey Summary - BLUE AND GRAY LAY OUT BY WARREN - FINALCarrie Bauman
 
Emerging Trends in Clinical Data Management
Emerging Trends in Clinical Data ManagementEmerging Trends in Clinical Data Management
Emerging Trends in Clinical Data ManagementArshad Mohammed
 
Healthcare Six Sigma Project
Healthcare Six Sigma ProjectHealthcare Six Sigma Project
Healthcare Six Sigma ProjectMichael Floriani
 
Placebo and Standard of Care Data Sharing Initiative - PSoC Data Sharing
Placebo and Standard of Care Data Sharing Initiative - PSoC Data SharingPlacebo and Standard of Care Data Sharing Initiative - PSoC Data Sharing
Placebo and Standard of Care Data Sharing Initiative - PSoC Data SharingTransCelerate
 
VBP_OrthopedicDevices_Dec.042015
VBP_OrthopedicDevices_Dec.042015VBP_OrthopedicDevices_Dec.042015
VBP_OrthopedicDevices_Dec.042015Caroline Mosessian
 
Delivering Quality Through eHealth and Information Technology
Delivering Quality Through eHealth and Information TechnologyDelivering Quality Through eHealth and Information Technology
Delivering Quality Through eHealth and Information TechnologyNHSScotlandEvent
 
Clinical Data Management
Clinical Data ManagementClinical Data Management
Clinical Data Managementbiinoida
 

Tendances (20)

Lean Six Sigma for Health Care Scheduling
Lean Six Sigma for Health Care SchedulingLean Six Sigma for Health Care Scheduling
Lean Six Sigma for Health Care Scheduling
 
Robert E. Parson Resume
Robert E. Parson ResumeRobert E. Parson Resume
Robert E. Parson Resume
 
Clinical data management
Clinical data managementClinical data management
Clinical data management
 
Primer in quality improvement in radiology department
Primer in quality improvement in radiology departmentPrimer in quality improvement in radiology department
Primer in quality improvement in radiology department
 
Protocol Understanding_Katalyst HLS
Protocol Understanding_Katalyst HLSProtocol Understanding_Katalyst HLS
Protocol Understanding_Katalyst HLS
 
Navigating the Complexity of Virtual Clinical Trials
Navigating the Complexity of Virtual Clinical TrialsNavigating the Complexity of Virtual Clinical Trials
Navigating the Complexity of Virtual Clinical Trials
 
Health IT Summit Austin 2013 - Keynote Presentation "Meaningful Use Stage 2 a...
Health IT Summit Austin 2013 - Keynote Presentation "Meaningful Use Stage 2 a...Health IT Summit Austin 2013 - Keynote Presentation "Meaningful Use Stage 2 a...
Health IT Summit Austin 2013 - Keynote Presentation "Meaningful Use Stage 2 a...
 
Quality Management Systems in Radiotherapy based on ISO 9001 standard
Quality Management Systems in Radiotherapy based on ISO 9001 standardQuality Management Systems in Radiotherapy based on ISO 9001 standard
Quality Management Systems in Radiotherapy based on ISO 9001 standard
 
1 the science of patient safety
1 the science of patient safety1 the science of patient safety
1 the science of patient safety
 
iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...
iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...
iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...
 
Streamlining Data Management Start-up
Streamlining Data Management Start-upStreamlining Data Management Start-up
Streamlining Data Management Start-up
 
Christine Egan 2017
Christine Egan 2017Christine Egan 2017
Christine Egan 2017
 
2014 December 16 - eHI Survey Summary - BLUE AND GRAY LAY OUT BY WARREN - FINAL
2014 December 16 - eHI Survey Summary - BLUE AND GRAY LAY OUT BY WARREN - FINAL2014 December 16 - eHI Survey Summary - BLUE AND GRAY LAY OUT BY WARREN - FINAL
2014 December 16 - eHI Survey Summary - BLUE AND GRAY LAY OUT BY WARREN - FINAL
 
Emerging Trends in Clinical Data Management
Emerging Trends in Clinical Data ManagementEmerging Trends in Clinical Data Management
Emerging Trends in Clinical Data Management
 
Healthcare Six Sigma Project
Healthcare Six Sigma ProjectHealthcare Six Sigma Project
Healthcare Six Sigma Project
 
Goodwin Resume Jan_2017
Goodwin Resume Jan_2017Goodwin Resume Jan_2017
Goodwin Resume Jan_2017
 
Placebo and Standard of Care Data Sharing Initiative - PSoC Data Sharing
Placebo and Standard of Care Data Sharing Initiative - PSoC Data SharingPlacebo and Standard of Care Data Sharing Initiative - PSoC Data Sharing
Placebo and Standard of Care Data Sharing Initiative - PSoC Data Sharing
 
VBP_OrthopedicDevices_Dec.042015
VBP_OrthopedicDevices_Dec.042015VBP_OrthopedicDevices_Dec.042015
VBP_OrthopedicDevices_Dec.042015
 
Delivering Quality Through eHealth and Information Technology
Delivering Quality Through eHealth and Information TechnologyDelivering Quality Through eHealth and Information Technology
Delivering Quality Through eHealth and Information Technology
 
Clinical Data Management
Clinical Data ManagementClinical Data Management
Clinical Data Management
 

En vedette

En vedette (12)

Effects of alcohol, drugs, and violence
Effects of alcohol, drugs, and violenceEffects of alcohol, drugs, and violence
Effects of alcohol, drugs, and violence
 
Chapter 9 Alcohol
Chapter 9   AlcoholChapter 9   Alcohol
Chapter 9 Alcohol
 
Nitric oxide therapy
Nitric oxide therapyNitric oxide therapy
Nitric oxide therapy
 
Blood alcohol concentration and elimination in the human body
Blood alcohol concentration and elimination in the human bodyBlood alcohol concentration and elimination in the human body
Blood alcohol concentration and elimination in the human body
 
Role of nitric oxide in pathology
Role of nitric oxide in pathologyRole of nitric oxide in pathology
Role of nitric oxide in pathology
 
Vasoactive agents
Vasoactive agentsVasoactive agents
Vasoactive agents
 
Vasodilators and vasoconstrictors
Vasodilators and vasoconstrictorsVasodilators and vasoconstrictors
Vasodilators and vasoconstrictors
 
Branches of philosophy report
Branches of philosophy reportBranches of philosophy report
Branches of philosophy report
 
The branches of philosophy pdf
The branches of philosophy pdfThe branches of philosophy pdf
The branches of philosophy pdf
 
3 - The Major Philosophies
3 - The Major Philosophies3 - The Major Philosophies
3 - The Major Philosophies
 
Anticancer drugs 1 introduction and classification
Anticancer drugs 1 introduction and classificationAnticancer drugs 1 introduction and classification
Anticancer drugs 1 introduction and classification
 
Major philosophies in education
Major philosophies in educationMajor philosophies in education
Major philosophies in education
 

Similaire à Strategies for Growth and Survival of Pathology Departments

Diagnostics Market Disruption HIDA final
Diagnostics Market Disruption HIDA finalDiagnostics Market Disruption HIDA final
Diagnostics Market Disruption HIDA finalHidee Cyd
 
Demand flow summary
Demand flow summaryDemand flow summary
Demand flow summaryrcerceo
 
Integrate RWE into clinical development
Integrate RWE into clinical developmentIntegrate RWE into clinical development
Integrate RWE into clinical developmentIMSHealthRWES
 
Planning Considerations in Total Automation of Clinical Laboratory
Planning Considerations in Total Automation of Clinical Laboratory  Planning Considerations in Total Automation of Clinical Laboratory
Planning Considerations in Total Automation of Clinical Laboratory Dr.Eng. Walid Tarawneh
 
AlvarezButler_All-About-SSIs.ppt
AlvarezButler_All-About-SSIs.pptAlvarezButler_All-About-SSIs.ppt
AlvarezButler_All-About-SSIs.pptIbrahimSultan28
 
Challenges of Software Testing in the Life Sciences
Challenges of Software Testing in the Life SciencesChallenges of Software Testing in the Life Sciences
Challenges of Software Testing in the Life SciencesAdam Sandman
 
The Life-Changing Impact of AI in Healthcare
The Life-Changing Impact of AI in HealthcareThe Life-Changing Impact of AI in Healthcare
The Life-Changing Impact of AI in HealthcareKalin Hitrov
 
MODERN REQUIREMENTS OF AN ASSISTED REPRODUCTIVE CENTER OF EXCELLENCE
MODERN REQUIREMENTS OF AN ASSISTED REPRODUCTIVE CENTER OF EXCELLENCEMODERN REQUIREMENTS OF AN ASSISTED REPRODUCTIVE CENTER OF EXCELLENCE
MODERN REQUIREMENTS OF AN ASSISTED REPRODUCTIVE CENTER OF EXCELLENCESandro Esteves
 
IHE / RSNA Image Sharing Project - IHE Colombia Workshop (12/2014) Module 5c
IHE / RSNA Image Sharing Project - IHE Colombia Workshop (12/2014) Module 5cIHE / RSNA Image Sharing Project - IHE Colombia Workshop (12/2014) Module 5c
IHE / RSNA Image Sharing Project - IHE Colombia Workshop (12/2014) Module 5cIHE Brasil
 
iHT2 Health IT Summit Atlanta 2013 – John Doulis, MD , CIO, MedCare Investme...
iHT2 Health IT Summit Atlanta 2013 –  John Doulis, MD , CIO, MedCare Investme...iHT2 Health IT Summit Atlanta 2013 –  John Doulis, MD , CIO, MedCare Investme...
iHT2 Health IT Summit Atlanta 2013 – John Doulis, MD , CIO, MedCare Investme...Health IT Conference – iHT2
 
Mira 2011 Athens Business Class Vassilis Bardis Athens Medical Center
Mira 2011 Athens Business Class Vassilis Bardis Athens Medical CenterMira 2011 Athens Business Class Vassilis Bardis Athens Medical Center
Mira 2011 Athens Business Class Vassilis Bardis Athens Medical CenterMIRA
 
SCL Healthcare overview(220408).pptx
SCL Healthcare overview(220408).pptxSCL Healthcare overview(220408).pptx
SCL Healthcare overview(220408).pptxMuhammadIbnuHajar2
 
NI Electronic Care Record - Des O'Loan
NI Electronic Care Record - Des O'LoanNI Electronic Care Record - Des O'Loan
NI Electronic Care Record - Des O'Loanhealthcareisi
 
D1 1130 hee hwang hong kong presentation hee_hwang(0704)_public_final
D1 1130 hee hwang hong kong presentation hee_hwang(0704)_public_finalD1 1130 hee hwang hong kong presentation hee_hwang(0704)_public_final
D1 1130 hee hwang hong kong presentation hee_hwang(0704)_public_finalDr. Wilfred Lin (Ph.D.)
 
Utilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group settingUtilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group settingBIT002
 

Similaire à Strategies for Growth and Survival of Pathology Departments (20)

Diagnostics Market Disruption HIDA final
Diagnostics Market Disruption HIDA finalDiagnostics Market Disruption HIDA final
Diagnostics Market Disruption HIDA final
 
Demand flow summary
Demand flow summaryDemand flow summary
Demand flow summary
 
Sharing Knowledge - Lab outsourcing/Managemeent
Sharing Knowledge - Lab outsourcing/ManagemeentSharing Knowledge - Lab outsourcing/Managemeent
Sharing Knowledge - Lab outsourcing/Managemeent
 
Integrate RWE into clinical development
Integrate RWE into clinical developmentIntegrate RWE into clinical development
Integrate RWE into clinical development
 
Planning Considerations in Total Automation of Clinical Laboratory
Planning Considerations in Total Automation of Clinical Laboratory  Planning Considerations in Total Automation of Clinical Laboratory
Planning Considerations in Total Automation of Clinical Laboratory
 
AlvarezButler_All-About-SSIs.ppt
AlvarezButler_All-About-SSIs.pptAlvarezButler_All-About-SSIs.ppt
AlvarezButler_All-About-SSIs.ppt
 
Clinical Trials
Clinical TrialsClinical Trials
Clinical Trials
 
Clinical Trials
Clinical TrialsClinical Trials
Clinical Trials
 
Challenges of Software Testing in the Life Sciences
Challenges of Software Testing in the Life SciencesChallenges of Software Testing in the Life Sciences
Challenges of Software Testing in the Life Sciences
 
Clinical Trials
Clinical TrialsClinical Trials
Clinical Trials
 
Clinical Trials
Clinical TrialsClinical Trials
Clinical Trials
 
The Life-Changing Impact of AI in Healthcare
The Life-Changing Impact of AI in HealthcareThe Life-Changing Impact of AI in Healthcare
The Life-Changing Impact of AI in Healthcare
 
MODERN REQUIREMENTS OF AN ASSISTED REPRODUCTIVE CENTER OF EXCELLENCE
MODERN REQUIREMENTS OF AN ASSISTED REPRODUCTIVE CENTER OF EXCELLENCEMODERN REQUIREMENTS OF AN ASSISTED REPRODUCTIVE CENTER OF EXCELLENCE
MODERN REQUIREMENTS OF AN ASSISTED REPRODUCTIVE CENTER OF EXCELLENCE
 
IHE / RSNA Image Sharing Project - IHE Colombia Workshop (12/2014) Module 5c
IHE / RSNA Image Sharing Project - IHE Colombia Workshop (12/2014) Module 5cIHE / RSNA Image Sharing Project - IHE Colombia Workshop (12/2014) Module 5c
IHE / RSNA Image Sharing Project - IHE Colombia Workshop (12/2014) Module 5c
 
iHT2 Health IT Summit Atlanta 2013 – John Doulis, MD , CIO, MedCare Investme...
iHT2 Health IT Summit Atlanta 2013 –  John Doulis, MD , CIO, MedCare Investme...iHT2 Health IT Summit Atlanta 2013 –  John Doulis, MD , CIO, MedCare Investme...
iHT2 Health IT Summit Atlanta 2013 – John Doulis, MD , CIO, MedCare Investme...
 
Mira 2011 Athens Business Class Vassilis Bardis Athens Medical Center
Mira 2011 Athens Business Class Vassilis Bardis Athens Medical CenterMira 2011 Athens Business Class Vassilis Bardis Athens Medical Center
Mira 2011 Athens Business Class Vassilis Bardis Athens Medical Center
 
SCL Healthcare overview(220408).pptx
SCL Healthcare overview(220408).pptxSCL Healthcare overview(220408).pptx
SCL Healthcare overview(220408).pptx
 
NI Electronic Care Record - Des O'Loan
NI Electronic Care Record - Des O'LoanNI Electronic Care Record - Des O'Loan
NI Electronic Care Record - Des O'Loan
 
D1 1130 hee hwang hong kong presentation hee_hwang(0704)_public_final
D1 1130 hee hwang hong kong presentation hee_hwang(0704)_public_finalD1 1130 hee hwang hong kong presentation hee_hwang(0704)_public_final
D1 1130 hee hwang hong kong presentation hee_hwang(0704)_public_final
 
Utilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group settingUtilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group setting
 

Strategies for Growth and Survival of Pathology Departments

  • 1. Evolution of Strategies for Survival and Growth in Pathology and Laboratory Medicine Robert Boorstein, MD, PhD
  • 2. Strategies for Survival and Growth in Pathology of Medicine  Consolidation  Automation  Specialization  Quality Management and Integrated Decision Making
  • 3. Strategy  A plan, method, or series of maneuvers or stratagems for obtaining a specific goal or result (dictionary.com)  The science of military command, or the science of projecting campaigns and directing great military movements (Websters)  The commitment of resources in support of the mission in pursuit of defined and measurable ends (NYU Stern Business School).
  • 4. Strategies for Survival and Growth in Pathology of Medicine  Consolidation  Automation  Specialization  Quality Management and Integrated Decision Making
  • 5. Types of Laboratory Consolidations  Across institutions  Within institutions, parallel services  Within institutions, different services
  • 6. Pressures for Consolidation (Push)  Personnel Costs  Equipment Costs  Regulatory Burdens  Demands for Space  Closure of Residency Programs
  • 7. Pressures for Consolidation (Pull)  High- throughput, high capital cost equipment  Centralized and standardized LIS and HIS systems  Unified corporate leadership
  • 8. Laboratory consolidations: Phase 1:Bellevue as reference lab  Gouverneur (1997)  Coler Goldwater (1999)  Metropolitan/Belvis (1999)  Morrisania (1999)  Lincoln (1999)  Harlem, Renaissance (2000)
  • 9. Development of a consolidated laboratory network Bellevue Hospital Lincoln Hospital Metropolitan Hospital Harlem Hospital Coler/GoldwaterHospitals
  • 10. New York City Health and Hospitals Corporatio
  • 11. Laboratory Organization, South Manhattan Healthcare Network and Generations Plus/Northern Manhattan Health Network  Large central referral facility on the Bellevue site  Full service specialized and routine clinical laboratory services  Full service academic anatomic pathology services  Stat and point of care services appropriate for trauma, tertiary care and primary care services
  • 12. Laboratory Organization, South Manhattan Healthcare Network and Generations Plus/Northern Manhattan Health Network  Acute care facilities  Anatomic Pathology (surgical pathology, frozen sections, cytology)  Rapid Response Laboratories  Chronic care facilities  Rapid Response Laboratories  Ambulatory care facilities  Sample collection only
  • 13. Flow of work to Bellevue Bellevue Hospital Laboratory Metropolitan Belvis (Rapid Response and AP) Lincoln Morrisania (Rapid Response and AP) Harlem Renaissance (Rapid Response and AP) Coler Goldwater Gouverneur (Rapid Response)
  • 14. Effect of consolidation, impact of network on overall volume at Bellevue Area Network % Clinical Laboratories 60% Surgical Pathology 5% Autopsy 55% Cytology 75%
  • 15. Effects of Consolidation, employee productivity YEAR ACTUAL FTE WORKLOAD WORKLOAD/FTE 7/98 - 6/99 226.5 1,846,215 8151 7/99 - 6/00 256.5 3,968,427 15471 7/00 - 6/01 257.0 4,284,997 16673 7/01 - 6/02 253.5 4,635,763 18287 7/02 - 12/02 228.5 4,608,688 20169
  • 16. Factors for successful consolidation  Clear leadership  At the organization level  At the department/operations level  Clear mission  Information management  Transport  Flexibility
  • 17. Factors for successful consolidation  Clear leadership  At the organization level  At the department/operations level  No turning back!!!  Clear mission  Information management  Transport  Flexibility
  • 18. Factors for successful consolidation  Clear leadership  Clear mission  Information management  Transport  Flexibility
  • 19. NYCHHC Strategic Priorities HHC has set several strategic priorities to insure that we continue the improvements and innovations that have distinguished New York City's public hospital system in the months and years ahead. Patient Safety - HHC's multi-year campaign to reduce medical errors, prevent infections, pneumonia and cardiac arrests. Quality & Safety Performance - HHC publishes its quality record, inviting public comparison with state and national performance averages. Access to Healthcare - Providing Quality Healthcare for ALL New Yorkers. Technology - HHC has marked its place as a medical innovator by investing in advanced, integrated technology throughout its facilities. Modernization - HHC's ongoing capital program to ensure that our public hospitals continue to provide state-of-the-art medical treatment.
  • 20. Factors for successful consolidation  Clear leadership  Clear mission  At the level of organization  At the level of the department  Within each division  Information management  Transport  Flexibility
  • 21. Factors for successful consolidation  Clear leadership  Clear mission  Information management  Singlesystem across all facilities  Commitment to paperless ordering and resulting  Bar-coding of all samples  Transport  Flexibility
  • 22. Factors for successful consolidation  Clear leadership  Clear mission  Information management  Transport  Essential  Responsive to client needs  Reality based  Flexibility
  • 23. Factors for successful consolidation  Clear leadership  Clear mission  Information management  Transport  Flexibility  Planning cannot predict all eventualities  At go live, willingness to adjust while moving forward  Can judiciously skip less critical components of a consolidation, as long as key objectives are attained
  • 24. Factors inhibiting successful consolidation efforts  Failure to recognize and respect clinical needs of new clients  In conclusion, our system has benefited from the consolidation efforts and the implementation of the TLA system. The actual dollar savings are predicated on the remaining hospitals coming live and their willingness or ability to make the necessary staff reductions. Although our system remains in the growth phase, we have realized our efficiencies in TAT for those hospitals brought live. Clinical Chemistry 46: 751- 756, 2000  Labor instability  Politics, institutional and community  Unpredictable events
  • 26. Consolidation, Phase 2: Coordinated Delivery of Laboratory service to all sites  Integrated management structure (2001- 2002)  Standardization of test menus, normal ranges, and clinical indications (2003)  Standardization of all major laboratory systems (2003-2008)  Automation of accessioning and sample handling at referral sites (2003-2008?)
  • 27. Phase 2, continued  Autopsy to Bellevue (2002+)  All Lincoln cytology to Bellevue (2003)
  • 28. Internal Consolidations  Pediatric and Adult Hematology  Serology and Immunoassays  Anatomic Pathology
  • 29. Benefits of Consolidation  Reduction of unit labor costs.  Reduction of unit capital costs.  Reduction of unit space costs.  Standardization of quality at high level.
  • 30. Strategies for Survival and Growth in Pathology of Medicine  Consolidation  Automation  Specialization  Quality Management and Integrated Decision Making
  • 31. Increased Role of Automation in the clinical laboratory  Reduction of manual processes  Reduced error rate in aliquotting and specimen movement  Improved turnaround time  Reduction in sample volumes needed for analysis
  • 32. Benefits of automation  Run more tests.  Test in fewer sites.  Operate with fewer instruments.  Retain lower operating costs.  Employ relatively less skilled labor.  Use more automation in a paperless environment. http://www.devicelink.com/ivdt/archive/99/07/010.html
  • 33. Automation strategies  Total laboratory automation (i.e. Beth Israel, NY Cornell, North Shore, Mt Sinai).  High upfront capital costs (10-20 million)  High demand on IS infrastructure  Networked, modular, incremental automation (HHC model) Highly efficient analytical instruments, handling high volumes with redundancy  Automated sample handling, and sorting, utilizing tracked systems  Automation at referral sites  Core laboratory
  • 34. Steps in automation Front end processing Transfer to analytical systems Distribution to analytic instruments Analytical instrumentation Verification Back end processing and storage
  • 35. Thinking about automation  What is the real goal of automation?  If the goal is labor saving, which steps really use the most labor?  If the goal is quality or time savings, automating which steps will give those benefits?  If the goal is to increase capacity (and thus reduce unit labor costs), is the business really available, and what are the barriers to serving new customers?
  • 36. Assessing success in automation  “Laboratory A” core lab currently processes 2500–3000 tests per day. Since it implemented automation with robotics, the lab has increased test volume by 20%, reduced sample turnaround times by 11%, and saved $100,000 in staff salaries. http://www.devicelink.com/ivdt/archive/99/07/010.html
  • 37. Return on investment  Total laboratory automation often consumed $15-20 million in Capital costs for acquisition, site preparation, relocation and transition costs.  Which of the successes are due not to the main automation, but to concurrent processes that make sense independent of TLA?
  • 38. Laboratory Workload and Cost sharing  80% of the costs in the laboratory belongs to the pre- and post analytical processes, only 20% to the analytical part...
  • 39. Factors for success  Work station consolidation  Front end automation (accessioning, centrifugation, aliqotting)  Improved informatics (bar coding, no paper)  Changes in labor rules
  • 40. Steps in automation Front end processing Accessioning, centrifugation, aliquotting Remote order entry, bar coding Transfer to analytical system Distribution to analytic instruments Analytical instrumentation Workstation Consolidation Verification Back end processing and storage Electronic Reporting
  • 41. Steps in automation Front end processing Accessioning, centrifugation, aliquotting Remote order entry, bar coding Transfer to analytical system Distribution to analytic instruments Analytical instrumentation Workstation Consolidation Verification Back end processing and storage Electronic Reporting
  • 42. Recipes for failure  Extended delays in implementation due to complexity and demands on IT  Loss of leverage with vendors  Lock in old technology  Increased need for high paid staff  Inability to reduce staff  Failure to reach planned, and paid for, growth  “The lab currently processes 4000 tests per day, and has the capability to expand to more than 25,000 tests per day”
  • 43. Factors essential for laboratory growth, perhaps more important than automation  Work station consolidation  Front end automation  Specimen ID and tracking  Billing and Collections  Transport  Customer Service
  • 44. Automation can follow growth: Modular incremental automation  Minimal upfront capital or site preparation costs.  Equipment amortized into reagent purchases.  Scalable  Ongoing instrument modernization
  • 46. Lab Area Manufacturer Model Individual Components Chemistry Beckman Coulter DxC AU Analyzer Interfaces Roche OCD Abbott /Toshiba Modular 250, 950 Aeroset, 80FR, 200FR Immuno Beckman Coulter DxI Abbott AxSym, Architect Siemens Centaur Siemens Atlas and Centaur Stago R Tosoh AIA21 OCD Eci Fujirebio Lumipulse F Coag Beckman Coulter TOP-LAS Stago Sta-r Sysmex CA-6000 Heme Beckman Coulter LH 750/755 Sysmex HST Roche Modular OCD 950, 250, ECI Urinalysis Siemens Atlas Sysmex UA-2000 Trademarks are property of the respective Manufacturers
  • 47. Single Testing and Sample Management Workstation! Sample Management CBC, Diff, A1c Retic Testing Tes ti ng Smear staining Smear preparation  Frees-up non-productive labor!
  • 48. Strategies for Survival and Growth in Pathology of Medicine  Consolidation  Automation  Specialization  Quality Management and Integrated Decision Making
  • 49. What drives Specialization  Build on existing expertise (supply)  Meet needs of existing clients, leveraging existing transport, IT, and customer service relationships (demand)
  • 50. Specialization  High volume, High value  High volume, Low value  Low volume, High value  Low volume, Low value
  • 51. Programs built on Existing Strengths  Cytology  Neuropathology  Cytogenetics  Hemoglobin Analysis  Tuberculosis  GC/Chlamydia
  • 52. Programs built de novo based on clinical need  HIV, HBV, HCV viral loads  Maternal Fetal Defect testing  Lead testing  GC/Chlamydia/HPV  Colon Cancer Screening Colon Sentry
  • 53.
  • 58. Approach to specialization  High volumes  Push modular automation using experiences across disciplines  Based on clinical demand
  • 59. Approach to specialization  Clinical and translational research
  • 60. Project Findings Show Asian American New Yorkers Have a High Burden of Hepatitis B Infection  NEW YORK, August 9, 2005 –The Center for the Study of Asian American Health at New York University School of Medicine, the central coordinating agency for the NYC Asian American Hepatitis B Program has received a total of $2.6 million to continue its work in screening, educating, vaccinating, and treating Asian Americans in New York City for hepatitis B. $1.7 million of the grant is from the New York City Council with the remainder as matching funds from the New York State and City Departments of Health. The Program is a made up of a coalition of healthcare and community-based organizations across the city.
  • 61. Strategies for Survival and Growth in Pathology of Medicine  Consolidation  Automation  Specialization  Quality Management and Integrated Decision Making
  • 62. Leadership in Patient Safety Goal implementation  Patient and specimen ID  Critical Values
  • 63. Test use rationalization  CK-MB vs troponin  Lipase vs amylase  Algorithm based thyroid function testing
  • 64. Involvement in core measures related to quality and reimbursement  Diabetes management and HgbA1C  Nosocomial infections  Timeliness of treatment of pneumonia  Stat TAT
  • 65. Bellevue Hospital Center South Manhattan Healthcare Network 462 First Ave & 27th St, New York, NY 10016 ER Turnaround Time Timeline Emergency/STATS Test TAT Timeline (minutes) 0' 16' 56' 89' Order Draw Received Resulted Order to Draw: 16 minutes Order to Received: 56 minutes Order to Resulted: 89 minutes Draw to Received: 40 minutes Draw to Resulted: 73 minutes Received to Resulted: 33 minutes
  • 66. Roles in new programs  HIV screening  Stroke program
  • 67. Lincoln Medical and Mental Health Center Stroke Monitor 2007 MONTH # OF STROKES CBC TAT < 15' PT/APTT TAT <30' BMP TAT<30' COMMENT DECEMBER 2 4 14 29 JANUARY 6 3.4 21.6 18.6 one stroke specime trax to BB FEBRUARY 6 3.2 24.8 19.4 1 hmlz,1 not announced MARCH 11 3.2 20.7 17 1 stroke with only Coag Reque APRIL 8 2.7 14.9 14.3 2 hemolyzed MAY 8 5.5 17.2 15.4 2 hemolyzed JUNE 6 4.2 11.2 13.8 1 chem hemolyzed JULY 13 3 17 18.5 AUGUST 12 3.5 20 14 SEPTEMBER 11 2.8 19.8 17.6 chem4hml-ptptt-1qns OCTOBER 10 4.6 14 16.5 chem1 heml-ptptt-2qns NOVEMBER 11 2.9 14.9 11.9 DECEMBER 5 8 17.4 19.6
  • 68. Driving home quality principles  New pathology system, LIS and Anatomic  Remote order entry with bar codes  Results to Doctors’ queues  Voice recognition at grossing.  Integrated reporting  Double label, computer directed cassette labeling  Etched slides with barcodes.
  • 69. Conclusions  People are crucial  Success is built on common vision  Resources must be committed  Needs and solutions are local
  • 70. Future trends  Laboratory Consolidation  Driven by Resource Issues, personnel and capital  Oversight of test utilization  Accountable Care Organizations, Insurers, Capitation  Algorithm based results  Competition from sole source branded products  Brca1, OncotypeDX, etc.