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Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015
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Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

Dec 13, 2015

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Page 1: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

Clinical Analytics for Quality Improvement Initiatives

Paul HencheyOctober 5, 2015

Page 2: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

ABOUT ARBORMETRIX MISSION TO DELIVER THE MOST ADVANCED HEALTHCARE PERFORMANCE MEASUREMENT PLATFORM

ROOTSFOUNDED BY SURGEONS AND RESEARCHERSFUNDED BY VENTURE CAPITAL

FOCUSACUTE CARESCIENTIFICALLY RIGOROUS CLINICAL ANALYSISADVANCED CLOUD-BASED TECHNOLOGY

CLIENTSCOLLABORATIVES & SPECIALTY SOCIETIES HOSPITALS & HEALTH SYSTEMSACCOUNTABLE CARE ORGANIZATIONS

Page 3: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

AGENDA

• Context for Quality Improvement– National – Regional– Local

• Implementing clinical analytics to– Drive quality improvement locally– Leverage national and regional initiatives

• Case Studies

Page 4: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

CONTEXT FOR QUALITY IMPROVEMENT

Page 5: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

COMPLEMENTARY INITIATIVES

NATIONALResearch Database

REGIONALCollaboration

LOCALProcess Improvement

National societies like ACS and STS have been successful in aggregating broad research databases. More specialized registries now being developed.

State-wide and regional CQI initiatives are big enough for data-driven learning and small enough that the players can know each other and can collaborate effectively on best practices.

Individual health systems are where quality improvements must ultimately be organized, funded and implemented.

Page 6: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

EXAMPLE: BROAD NATIONAL INITIATIVE

American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP®)

• 50 clinical variables captured for surgical cases• Includes 30 day outcomes• 660 Participating Hospitals• Clinical abstraction of 1,680 sample cases per hospital per year• Semi-annual benchmarking reports

Page 7: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

EXAMPLE: SPECIALIZED NATIONAL INITIATIVE

Americas Hernia Society Quality Collaborative (AHSQC)

• Focus on ventral hernia repair• Continuous data collection and online

benchmarking• Captures details of technique, mesh utilization• Patient outcomes including readmission • Quarterly QI meetings• Coaching on surgical technique

AHSQC Medical Director: Michael J. Rosen, MD, FACS Professor of Surgery, Cleveland Clinic Foundation, Comprehensive Hernia Center

AHSQC Director for Quality and Outcomes: Benjamin K. Poulose, MD, MPH, FACS Assistant Professor of Surgery, Vanderbilt University Medical Center

Page 8: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

EXAMPLES: REGIONAL INITIATIVES

• 10 percent reduction in mortality• 34 percent reduction in sepsis• 29 percent reduction in pneumonia• 33 percent reduction in cardiac arrest• 15 percent reduction in length of stay• 18 percent reduction in surgical site infections

Saved $11 million statewide in total episode payments for Post-CQI treated patients in one year, through the Michigan Trauma Quality Improvement Program (MTQIP)

Saved $27.8 million statewide over four years, through the Michigan Bariatric Surgery Collaborative (MBSC)

$85.9 million saved statewide over two years by reducing adverse events, through the Michigan Surgical Quality Collaborative (MSQC)

Regional CQI model now being replicated in states such as Pennsylvania and North Carolina…

Page 9: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

EXAMPLES: LOCAL INITIATIVES

VanderbiltSection of Surgical Sciences

• Surgeon-led Surgical Value Improvement Initiative

• Leveraging national registry data (NSQIP, AHSQC, etc.)

• Focus on unwanted variation in cost and quality

University of MichiganDepartment of Surgery

• Leadership for several regional initiatives

• Implementing process improvements internally

• Tracking ROI • Feedback loop for surgeons

Page 10: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

IMPLEMENTING CLINICAL ANALYTICS

Page 11: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

FRAGMENTED DATA

OPPE

RVUS

CFO

OR DIRECTORSECTION CHIEFBlock timeQuality

Supply cost

Revenue

Cost

DRG

CPT

Page 12: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

COLLABORATIVE CLINICAL ANALYTICS

Integrated system provides credible, consistent performance metrics

Eliminates ‘spreadsheet wars’

Supports the alignment of goals, processes

Targeted Improvement

Strategic Planning

Monitoring & coaching

Page 13: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

DATA MODELProfessional Claims

CPT

RVU

Surgeon

Facility Claims & Cost Accounting

ICD9

Facility Cost

LOS

OR System

Case Minutes

Supply Cost

CPT, RVU, Surgeon

ICD9, Facility Cost, LOS

Case Minutes, Supply Cost

Clinical Outcomes

Clinical Registries

Clinical Outcomes

Page 14: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

CLINICAL SCOPE

National Surgical QIP (ACS)

Metabolic and Bariatric Surgery Accreditation and QIP (ACS)

American Hernia Society Quality Collaborative (AHSQC)

Collaborative Endocrine Surgery QIP

Michigan Surgical Quality Collaborative (MSQC)

Michigan Trauma QIP

Michigan Urological Surgery Improvement Collaborative (MUSIC)

CLINICAL REGISTRIES

Acute Care

Bariatric

Colorectal

Endocrine

HPB

Minimally Invasive

DEPARTMENTS

Surgical Oncology

Cardiac

Thoracic

Vascular

Urology

Orthopaedic

Page 15: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

CORE METRICS

QUALITY PRODUCTIVITY

EFFICIENCY FINANCIAL

Post-operative complicationsMortalityReoperationsReadmissions

LOSSurgical cut-to-close timeSupply costHospital direct cost

Work RVUsProceduresVisitsCases

Net revenueNet incomeTotal costContribution margin

Page 16: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

ARBORMETRIX RISK-ADJUSTMENT

Why Risk-Adjust? Because an 85-year-old female undergoing cardiac surgery is more likely to suffer adverse outcomes compared to an otherwise healthy 50-year-old male undergoing the same procedure.

Because some hospitals and physicians treat more high-risk patients than others.

Without Risk adjustment physicians will not trust your reports.

Page 17: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

ARBORMETRIX RELIABILITY ADJUSTMENT

0 deaths out of 2 patients 0 deaths out of 200 patients

Which surgeon would you refer a family member to?

Page 18: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.
Page 19: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

CASE STUDIES

Page 20: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

REGIONAL EXAMPLE: MSQC

A statewide colectomy experience: the role of full bowel preparation in preventing surgical site infection.Ann Surg. 2014 Feb;259(2):310-4. doi: 10.1097/SLA.0b013e3182a62643.Kim EK1, Sheetz KH, Bonn J, DeRoo S, Lee C, Stein I, Zarinsefat A, Cai S, Campbell DA Jr, Englesbe MJ.

“In the state of Michigan, full bowel preparation is associated with decreased infectious complications after elective colectomy.

Within this context, the Michigan Surgical Quality Collaborative recommends full bowel preparation before elective colectomy.”

Page 21: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

MICHIGAN SURGICAL QUALITY COLLABORATIVE

SCREEN SHOT Bundle 3way with Mech Bowel Prep selected.

Chart shows level of compliance with each of six best practices.

Wide variation in bundle compliance across hospitals.

Data altered to protect confidentiality

Page 22: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

Chart shows correlation between bundle compliance and SSI rates.

Cases with 5 of 6 best practices have only 1/5th the complications compared to those with 0 or 1 best practices.

Data altered to protect confidentiality

Page 23: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

LOCAL EXAMPLE: VANDERBILT SECTION OF SURGICAL SERVICES

“We have been able to gain new intelligence regarding value that we did not have prior to implementing the SurgicalMetrix solution.”

“We are able to evaluate each surgeon in their own clinical space and identify surgeons who deliver high quality care at low cost.”

“We are then planning to engage those surgeons and apply their processes to those who may not be performing as well.”

Page 24: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

Reports quantify the financial impact of

surgical complications.

Here we see a $9,000 swing in net

income between complicated and uncomplicated

colorectal surgery cases.

Data altered to protect confidentiality

Page 25: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

Chart shows correlation between poor quality and reduced margins

Surgeon in lower right quadrant has high complication rates and low net income per case

Data altered to protect confidentiality

Page 26: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

This surgeon’s rate of pneumonia complications is much higher than her peers.

This may provide a coaching opportunity.

Data altered to protect confidentiality

Page 27: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

LOCAL EXAMPLE: MICHIGAN DEPARTMENT OF SURGERY

“How can we track the results from our investment in a new staffing model for Acute Care Surgery?”

New staffing model intended to improve quality and reduce cost per case.

SurgicalMetrix put in place to track actual impact over time.

Page 28: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

Now using dedicated Acute Care surgeons in place of rotating staff for most Non-Trauma Emergency (NTE) cases.Data altered to

protect confidentiality

Page 29: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

Dashboards track cost and quality for NTE cases:

• Complication rate has dropped from about 20% to 12%

• Direct Costs reduced from about $18,000 to $12,000 per case

• LOS also reduced by about 0.5

Data altered to protect confidentiality

Page 30: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

COMPLEMENTARY INITIATIVES

NATIONALResearch Database

REGIONALCollaboration

LOCALProcess Improvement

National societies like ACS and STS have been successful in aggregating broad research databases. More specialized registries now being developed.

State-wide and regional CQI initiatives are big enough for data-driven learning and small enough that the players can know each other and can collaborate effectively on best practices.

Individual health systems are where quality improvements must ultimately be organized, funded and implemented.

Page 31: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.

ADDITIONAL INFORMATION

http://www.arbormetrix.com/whitepapers

http://www.arbormetrix.com/blog

[email protected]

https://twitter.com/ArborMetrix

Page 32: Clinical Analytics for Quality Improvement Initiatives Paul Henchey October 5, 2015.