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Jeff Pelot Chief Technology Officer · Metrics 1997: y. Images Viewed 3,100,205. y. Servers 10 Virtual Servers 0 y. Desktops 800 Thin-clients 0 y. Printers 110. y. Network Devices

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Page 1: Jeff Pelot Chief Technology Officer · Metrics 1997: y. Images Viewed 3,100,205. y. Servers 10 Virtual Servers 0 y. Desktops 800 Thin-clients 0 y. Printers 110. y. Network Devices

Jeff PelotChief Technology Officer

Page 2: Jeff Pelot Chief Technology Officer · Metrics 1997: y. Images Viewed 3,100,205. y. Servers 10 Virtual Servers 0 y. Desktops 800 Thin-clients 0 y. Printers 110. y. Network Devices

Jeffrey PelotChief Technology Officer, 6 years○

Prior leadership/management positions in Healthcare IT, total 10 years

Masters Degree, Regis University 1999, Information Systems

Awards:

Bio

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Agenda About Denver HealthAbout Denver Health’s SystemsChallengesCurrent Technology ApproachThe Ultimate Challenge and a Potential Solution

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Denver Health

Integrated public safety net institution5,300 employeesClosed medical staffAcademic programs Level I trauma center

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Our Patients

160,000 unique patients visit annually25% of Denver population35% of Denver childrenBusiest Colorado hospital Largest Medicaid providerLargest uninsured provider

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$3.1 billion in unsponsored care provided since 199210% of beds in metropolitan area but provide 40% of all unsponsored care$385M projected for uninsured care in 2010

Our Commitment to the Uninsured

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Denver Health & Hospital Authority

Denver Cares

Correctional Care

Denver Health

Medical Center

Family Health Centers

Regional Poison Center and Nurseline

Denver Health Medical Plan

School-based Health Centers

Rocky Mtn Center for Medical

Response to Terrorism Rocky Mtn

Regional Trauma Ctr

911Public Health

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Phase 1 (1996–1997)Build technology infrastructure (scalable, fault tolerant, adaptable)

Phase 2 (1998-2000) Support the financial business operation

Phase 3 (2001-Current) Implement integrated clinical applications

Denver Health’s High-Level Technology Strategy

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Technology StatisticsMetrics 1997:

Images Viewed 3,100,205Servers 10○

Virtual Servers

0Desktops 800○

Thin-clients

0Printers 110Network Devices 200○

Managed Ports

2,300Vocera Badges 0Phone Sets 5,798VOIP Phone Sets 0Pagers 1,100Cell Phones 140Storage 2.19TBE-mail Users 400Core Applications 3Help Desk Tickets 8,700

Metrics 2009:Images Viewed 12,404,035Servers 540○

Virtual Servers

243Desktops 5,150○

Zero-clients 1,736Printers 983Network Devices 1214○

Managed Ports

19,000Vocera Badges 685Phone Sets 4,511VOIP Phone Sets 1,914Pagers 1,897Cell Phones 242Storage 140.4TBE-mail Users 7,419Core Applications 71Help Desk Tickets 32,839

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Clinical Ancillary Systems

PathologyBlood BankPathologyLAB

RadiologyPACS Dictation

Emergency Department

Surgery

InpatientPharmacy

WomensServices

Interface Engines and Integration

ADT Orders Results

Charges

Core Clinical Systems

Order Entry

PatientDocumentation(Electronic & Scanned)

ClinicianPortals

Decision Support Systems

Data Warehouse

Severity Adjustment

Reporting Tools / Writer

Comparative Database

AccessOutcomes

MeasurementResource Utilization

Provider Profiling Benchmarking

Clinical Data Repository

Enterprise Patient Access and Aquisition

Admission /Registration

Enterprise Scheduling

Eligibility Verification

Consumer Portal

Denial Management

Technical InfrastructureInfrastructure

Design & Assessment

Server Management

Storage Management

Network Management

Telecom Management

Software & Integration

Workflow & EnterpriseManagement Systems

Document Imaging

Patient Tracking

Bed Management

Enterprise Access

Directory

Information System Application Components

Medical Necessity

Patient Identification

Financial Information SystemsPatient Accounting

Financial Information Systems General Accounting

Department / Support Services

Children’sServices

Grant Management

Marketing Education

Building Services

Foundation Transport

Security

Social Services

HR

Document Management

Coding

Medical Records

Transcription

Clinical Engineering

Property Management

Enterprise Patient Access / Acquisition / MPI

Clinician Interface Portal

Clinical Data Repository (Electronic Medical Record)

Workflow Management / Enterprise Management Systems

Decision Support Systems (Data Warehouse)

Interface Engines / Integration

Technical Infrastructure

Financial Information

Systems

Department & Support Systems

Clinical Ancillary Systems

Core Clinical Systems

Monitoring,Diagnostic,Patient Care

Systems

OutpatientPracticeManagement

Claims Editor Collections Payor /Relations

PatientBilling Cash Posting Contract

Management

Charges

General Ledger A/P Materials

Management

Payroll

Monitoring, Diagnostic,Patient Care Systems

IV Pumps Patient Monitors

EEG Sleep

EKGOutpatient Practice Management

EMR

PhysicianPortal

Desktop Management

Network Security

Disaster Recovery

Enterprise Application Stack

Time /Attendance

Telephone Triage / Referral

PhysicianStaff &

Credentialing

Outpatient Pharmacy

E-Mail

Intranet /Internet

Occ Health

Budgeting

MedicationAdmin (MAK)

Device Tracking

Breast Imaging

Risk Management

Cardiac Services

Utilization Review eRecruiting

Staff Scheduling

UserProvisioning

GeneralLedger

Reporting Data

Coding

Custom

Workflow Engine

Analytics

Nursing Care Plans

Order Entry

RespiratoryServices

Ventilators

Rules Engine eRX Patient Portal

Key

Completed

In Progress

Not Funded

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Results(LCR), Common Vocabulary, DSS,Interface engine, may have Document ImagingStage 2

Clinical documentation (flow sheets), Clinical DSS (error checking), PACS available outside RadiologyStage 3

CPOE, Decision Support (clinical protocols, registries)Stage 4

Closed loop medication administrationStage 5

Physician documentation (structured templates), full Decision Support (variance & compliance), full PACSStage 6

Medical record fully electronic; CDO able to contribute to ICEHR as byproduct of SEHRStage 7 0.0%

0.3%

1.3%

2.1%

21.3%

39.3%

16.3%Stage 1 Ancillaries –

Lab, Rad, Pharmacy

Stage 0 All Three Ancillaries Not Installed 19.5%

% of USHospitals

Source: HIMSS Analytics Databases (derived from the Dorenfest IHDS+ DatabaseTM)

EMR Adoption Model Q1 2010

N = 4,298

Denver Health certified at Stage 5, next level is 7

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Health IT spending per FTE is low (McKinsey Global Institute) and competes with medical technology and buildings

Non-clinical IT adoption vastly outpaces clinical IT adoption (HIMSS Analytics)

Systems that adopt IT are frequently rated as high quality (Most Wired and US News)

IT enabled organizations have better mortality rates (Most Wired and AHA)

A “natural” adoption rate for HIT (E health records) exists (Rand Health)

Numerous Digital “divides” exist

Health IT adoption impact is high, but requires networked systems, not just adoption (Rand, CITL, NEHI, Cisco)

What do we know about IT adoption in Healthcare?

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Total Estimated Savings = $280 Billion

Projected Impact Is High

Ease of Technology Implementation

HIGHHIGH

HIGHLOW

Electronic Claims and Eligibility$62B5

Sources: 1. Center for IT Leadership, 2003; 2. American Health Quality Association, March 2004; 3. New England Healthcare Institute; 4. National Center for Policy Analysis; 5. Cisco analysis, April 2005

Interoperable Ambulatory Electronic Health Records (EHR)$78B1

Inpatient CPOE $44B3,5

Barcoding$5B2E-ICU

$8B3,5

StandaloneAmbulatory CPOE and EHR $44B1

Electronic Prescribing$29B4

Qua

lity

and

Safe

ty Im

pact

Physician- Patient Messaging$8B3,5

Disease Management,Remote Patient Monitoring$32B3,5

Page 14: Jeff Pelot Chief Technology Officer · Metrics 1997: y. Images Viewed 3,100,205. y. Servers 10 Virtual Servers 0 y. Desktops 800 Thin-clients 0 y. Printers 110. y. Network Devices

Focus areas:Systems availability

Full integration, work flow and analytics

Billing abilities

Reporting abilities

Standardization of over 500 processes

of care

HITECH compliance

Reduction in time to care

Manage health and focus on wellness, reduce overall costs

Technology Goals

Page 15: Jeff Pelot Chief Technology Officer · Metrics 1997: y. Images Viewed 3,100,205. y. Servers 10 Virtual Servers 0 y. Desktops 800 Thin-clients 0 y. Printers 110. y. Network Devices

Healthcare Challenges

Constrained to Budget•

Need Network Expertise Outside of Core Capabilities

Mostly Focused on Reactive Activities

Constrained to Budget•

Need Network Expertise Outside of Core Capabilities

Mostly Focused on Reactive Activities

Budget and Access to Capital Constraints

Challenge to Balance Between Cost & Quality

Budget and Access to Capital Constraints

Challenge to Balance Between Cost & Quality

TECHNOLOGYCOMPLEX & CRITICALAPPLICATIONS

RESOURCES

FINANCIAL

Constant Uptime- 24x7•

Often Requires Integration and Convergence

Constant Uptime- 24x7•

Often Requires Integration and Convergence

Critical & Life-Impacting•

Requires a Strategic, Master Plan

Ongoing Support Critical

Critical & Life-Impacting•

Requires a Strategic, Master Plan

Ongoing Support Critical

Health and Hospital Systems

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In an ambulatory setting Physicians spend no more than 15 minutes with a patient

No time to wait for a typical logon

No time to logon again and again to specific applications

No time for system slowness

Absolutely no time for outages

All of the above are contributors to decreased revenue opportunities and Physician dissatisfaction

Information must be reliable, fast, and consistent

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Page 18: Jeff Pelot Chief Technology Officer · Metrics 1997: y. Images Viewed 3,100,205. y. Servers 10 Virtual Servers 0 y. Desktops 800 Thin-clients 0 y. Printers 110. y. Network Devices

Radiology is 99% filmless with Picture Archiving and Communication System (PACS)Results available for radiology interpretation is less than 2 secondsRadiologists use voice dictation for all studies resulting in 100% elimination of external transcription costs; saving $15,000+ per month

PACS

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Entered via CPOE monthly:Over 300,000+ orders Over 96% of laboratory orders Over 96% of pharmacy orders Standardization of over 500 processes of care with ~150 evidence-based order sets

CPOE, compilation of several apps

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CPOE Reduction in Time to Care Laboratory Results

Laboratory results availability decreased 54.5% (142 to 63 minutes)

4/5/2010 Denver Health and Hospital Authority

54.5% Reduction

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CPOE Reduction in Time to Care Medication Availability

Medication availability time decreased 83.4% (44 to 7.3 minutes)

83.4% Reduction

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CPOE Reduction in Time to Care Radiology Results

Radiology results availability decreased 61.5% (1860 to 680 minutes) 61.5%

Reduction

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DataWarehouse

Pharmacy RadiologyLaboratory

DemographicsFinancial

Pathology EncounterPulmonary GI Lab

Digisonics EDM Forms

OBTraceVueEMESISMed Recon ORSOS

2009

2007

2008

1998

CPOE MAK

Clinical Data Warehouse

Page 24: Jeff Pelot Chief Technology Officer · Metrics 1997: y. Images Viewed 3,100,205. y. Servers 10 Virtual Servers 0 y. Desktops 800 Thin-clients 0 y. Printers 110. y. Network Devices

ImmunizationsAsthmaAnticoagulationColorectal Cancer screeningHypertensionDiabetes MellitusAmiodaroneCervical cancer screeningBreast cancer screeningTraumaObstetrics

Registries

External to WarehouseAutomated in

Data WarehouseCurrent projects

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Blood pressure controlled in 62% of our hypertensive patients vs. 24%

nationally

Cholesterol levels controlled in 70% of our diabetic patients vs. 35%

nationally

Adolescent vaccination rates for Tdap are two-fold higher than national rates

Trauma mortality rates lowest of any major trauma center in US with O/E

ratio of 0.441

Highest score for a safety-net hospital in University Health System

Consortium’s annual Quality and Accountability study last 2 years

Has It Made A Difference?

1American College of Surgeons National Benchmark Study

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Codman AwardCIO Top 100LeapfrogNewsweek Top 10 HospitalsColorado CIO of the YearHospitals & Health Networks 100 Most Wired HospitalsComputerworld – Best Practices in Enterprise Management

Industry Recognition We think that we are on the right track

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100% availability Fast ConsistentAvailable

At the point of care when and where needed

The Healthcare IT Challenge

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Executive educationAnnual budget allocatedEnsuring uptime through

maintenance processesstaff allocation on off hours, etc.toolschange controlproblem ownership

Etc….

Denver Health Approach

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Executive educationUnderstand the cost of HAUnderstand the complexity of HAUnderstand the cost of downtime in terms of patient care○

Opportunity for errors○

Quality○

Life threatening concerns○

Revenue opportunities○

Etc.

Business need always drives the strategy, i.e. does your business need this availability model or will something else work?

Annually based on 365 days per year99.5% equals 1 day 19 hours 48 minutes99.9% equals 8 hours 46 minutes99.99% equals 53 minutes99.999% equals 5 minutes

Denver Health Approach

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The potential of shared infrastructure, not hosted (?)IaaS (Infrastructure as a Service)○

Highly redundant networks○

Shared storage platform with geographical site tolerancePaaS (Platform as a Service)○

Vmware○

XenIn a perfect world applications…

Users get to specify the type of service they requirePlatform-specific APIs would be standard ○

Vendors creating applications using standardized APIs could can then use a model based on SaaS or utility computing and employ it across a hospital network

Multi-tenanted applications bring down total cost, compared to a hosted model

The Cloud Concept

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What We Are DoingOn the Network

•Two Core Distribution Frames• Dual pathing for most fiber runs•

Failures points pushed as far to the edge of distribution as possible• Survivability protocols through security (NAC)

In the Data Center• Two data centers• Clustered servers• Virtualized Servers• Virtualized iSCSI SAN, replicated storage

• Geographically separated• Instantly available in case of site failure•Backups• Every 10 minutes for critical systems•Disk to disk and disk to tape

In the Environment• Zero clients at every point of care

• Mobile sessions• Instant logons

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The Network Redundancy

Page 34: Jeff Pelot Chief Technology Officer · Metrics 1997: y. Images Viewed 3,100,205. y. Servers 10 Virtual Servers 0 y. Desktops 800 Thin-clients 0 y. Printers 110. y. Network Devices

Reduce time by half for deploying new systems

Standard Security Configurations

Systems are exact copies ensuring “Gold Standard” build

Simplifies Upgrades

Simplifies Troubleshooting

Simplifies System Recovery

System Version Control

The Data Center Rapid Deployment Model Web Temp

MOSS CVE SQL

File Shares

SQL Temp

App Temp

OpenLink

OPL-V1

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The Data CenterVMware & Future

• Virtual Lab• Testing Facility• Efficient Upgrade• Configuration

Management• Improve Patch

Management• Reducing

Downtime

• Minimize Impact to users

OPLProduction

Lab

CVE SQL

CVE SQL V1

OPL V1

Application Testing

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Group Policy / User Mgmt/ Apps

Benefits

•Hot Desking•Built in smart card reader •Only 4 watts of power consumption •Half the size •Stateless •Truly a thin client , no embedded OS to maintain and no admin

•Clinician login time savings ($68/hr, 30 minutes per day, 260 productive days, 300 physicians)-$2,652,000 in time savings

•Help Desk call savings ($10/call, 1500 PCs about 40 calls per week, 52 weeks)-$20,800 in help desk costs

•Energy savings based on KW/hour (PC consumption/year $90.89, Sun Ray consumption/year $3.12, 1500 units)-$131,655 in energy savings

Individual Server Blades

Terminal ServicesVirtual Machines

ESX/GSX/MSVS/ZWSingle Installs

Citrix

Full PCs

Thin PCs

OS/ Thin Computing Software

Net

wor

k

Solaris / SunRay

Thin Client

Zero Thin Client

SunRay’s

Solaris / SunRay

SunRays

The EnvironmentZero Clients

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What Remains?

Application availability is biggest challenge

Scheduled Outages• Downtime for patching• Downtime for maintenance

Unscheduled Outages• Downtime for system bugs• Downtime for system incompatibilities•Downtime for hardware failures in non redundant systems

System Slowness• Database problems• Incompatibilities•Poor programming

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The Experts Say

“A well-executed Release Management solution will save you money and avoid unplanned downtime. Once code is built, an application development team's work is largely done, but it's just beginning for IT Operations.

IT Operations strives to ensure that the production environment is stable and secure, whereas Application Development wants to be agile and business focused, delivering new functionality at a rapid pace. So it is not surprising that there may be conflicts between IT Operations and Application Development. As a result it is often complex and problematic to deliver changes from development to production. Learn how you can dramatically reduce the risk and cost of releasing applications into production. With visibility into exactly what has changed in each package you can anticipate risks.”

Application Release Management, The Path to ProductionSerena Software white paper, May 2009

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The Potential Fix

Build the Cloud, butEnsure that vendors and staff○ Adhere to:

Release ManagementChange ManagementConfiguration Management

Everyone MUST embrace the philosophy of SERVICE

DELIVERY

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Benefits of the Cloud

It is better than a hosted service since there are no long-term commitments with a cloud infrastructure provider

Applications are standardized since they can be developed with the PaaS framework, which the cloud provides, or use the same APIs to access the infrastructure services

Standardization of the application would increase the reach of applications across systems without requiring much modification at the user's end

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4/5/2010 Denver Health and Hospital Authority