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1 Data Visualization and Improving Quality Outcomes: A Davies Story Session 20, March 6, 2017 Danielle Oryn DO MPH, CMIO, Petaluma Health Center Shaun Nelson MPH, Senior Data Analyst, Petaluma Health Center Umesh Khot, MD Cleveland Clinic Kathleen Kravitz, MBA Cleveland Clinic Tim Sobol, MS Cleveland Clinic

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Page 1: Data Visualization and Improving Quality Outcomes: … › sites › himss365 › files › 365 › handouts › ...Data Visualization and Improving Quality Outcomes: A Davies Story

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Data Visualization and Improving Quality Outcomes: A Davies StorySession 20, March 6, 2017

Danielle Oryn DO MPH, CMIO, Petaluma Health Center

Shaun Nelson MPH, Senior Data Analyst, Petaluma Health Center

Umesh Khot, MD – Cleveland Clinic

Kathleen Kravitz, MBA – Cleveland Clinic

Tim Sobol, MS – Cleveland Clinic

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Danielle Oryn, DO MPH

Shaun Nelson MPH

Conflict of Interest

Umesh Khot, MD

Vice Chairman, Cardiovascular Medicine

Chief Quality Officer, Heart and Vascular Institute

Has no real or apparent conflicts of interest to report

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Agenda• Background about Petaluma Health Center

• Structure of population health program and the role of data and data visualization with the program

• Three clinical examples of the use of analytics to improve population health

• Foundational Initiatives

• Proof of Concept

• Electronic Multi Disciplinary Documentation

• Multi Level Inclusion Criteria

• Soft/Hard Stop

• Addressing Clinical Reality

• Clinical Impact

• Technology Innovations

Agenda – Heart Failure Checklist

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Learning Objectives

• Understand how analytics in the outpatient safety net setting can be used to improve care

• Learn how to engage care teams in using data in day to day patient care

• Understand how using data for improvement of one quality measure can become the infrastructure to improve others.

• Planning for discharge begins during the hospitalization

• Emphasis on data accuracy and identification of patients at admission

• Visualization and analytics at the point of care

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Petaluma Health Center

Founded in 1996

Became a Federally Qualified Health Center in 2000

Currently caring for 31,000 patients via 150,000 annual visits

Sites:

Petaluma Health Center

Rohnert Park Health Center

Mary Isaak Center – Homeless Shelter

San Antonio High School – School Based Health Center

Casa Grande High School - School Based Health Center

Santa Rosa Junior College Petaluma - School Based Health Center

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Petaluma Health CenterFull spectrum family centered primary medical care for children and adults

Adult and pediatric dental care

Women’s health including pregnancy care and gynecology consultation

Integrated behavioral health and psychiatry consultation

Wellness services

Specialty Care

FOCUS ON INTEGRATION OF CARE

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Petaluma Health Center

Recognition

– NCQA Patient Centered Medical Home recognition, 2013 –present

– Joint Commission accreditation for Ambulatory Care with Primary Care Medical Home, 2015 - present

– HRSA Health Center Quality Leaders – 2016

– HRSA National Quality Leaders - 2016

– CDC Million Hearts Champion – 2015

– HIMSS Davies Award - 2017

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Quality Improvement Components at PHC

Quality

Innovation

Informatics

Structure

Function

Culture

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Population Health Structural Cornerstones

1. Huddle

2. Recall

3. Time dedicated to panel management of patients with chronic illness

4. Identifying populations for ancillary services to improve health

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Data Mining

eClinicalworks

EHRDentrix EDR

Relevant Data

Warehouse

TableauEnd User Web

Applications

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Data Presentation

Grounded by QI Plan & PHC measures inventory

Data quality first and ongoing data validation

Data is available online to all care team members at all times

All data is un-blinded and specific to provider and or care team

Dashboards tailored to audience and function

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Outline• Diabetes

– Care Gaps

– Recall Campaign

– Quality measures for population health team time

– Health Educator report or wellness report specific to diabetes

• Hepatitis C

– Care Gaps for screening and treatment

– Quality measures for screening and treatment

– Report to pull patients who qualify for treatment

• Integrated services reports

– Integrated Behavioral Health

– Case Management and Patient Navigation report

– Care gaps for pediatric or OB dental integration

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Hemoglobin A1c Campaign

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Hepatitis C treatment

• Up to 8 pts per session

• 1-2x/month

• RN education

• GI-FNP reviews cases with MA prior to visit

• Provider meets 1:1 with patient & MA

• Orders labs, imaging, screening if eligible/ ready for treatment

Pre-treatment

• 1-2x/month

• provider chart prep/review w/ HCV coordinator

• Education & RX in group setting

• Face to face time is conducted in front of entire group, unless 1:1 time needed

• Vaccines administered

• Lifestyle & global liver health reviewed

• Referred to CERES PROJECT for nutrition/ cooking

Initiating Treatment

• Up to 10 per group

• 1-2 x/month

• Each cohort starts together regardless of stage of treatment

• Check in, group sharing, discussion of side effects

• Nutritionist, Cooking Demos, Ongoing holistic lifestyle education

• 1:1 if necessary

• Labs ordered & reviewed

• Support, engagement, education

Treatment Maintenance

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APRI/FIB4 Report

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Questions

• Danielle Oryn DO MPH, CMIO [email protected]

• Shaun Nelson MPH, Senior Data Analyst [email protected]

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Please use blank slide if more space is required for charts, graphs, etc.

To remove background graphics, right click on selected slide,

choose “Format Background” and check “Hide background graphics”.

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Creating Value from Electronic

Medical Records:Heart Failure Checklist

• Umesh N. Khot, MD

• Tim Sobol, MS

• Kathleen Kravitz, MBA

• Colette Einloth

• Anita Ullman, RD

• Cheryll Miller, RN

• Brent Hicks

• Corrine Bott-Silverman, MD

• Randall C. Starling, MD

• Lars Svensson, MD

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Heart and Vascular Institute-Miller Pavilion

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Heart and Vascular Institute Facts and Figures

• 23 Years - Ranked #1 US News

• 542,702 Outpatient Visits

• 13,364 Patient Admissions

• 422 Inpatient Beds

• 180 Staff Physicians

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2011

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Identifying the Correct

Attending and the Correct

Service:

“Who Is My Doctor?”

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Admissions

Discharges

Transfers

Re-Admission

Legacy Front End Computing System

Patient Info

Demographics

Attending

Service

ADTR = Source Truth for EPIC

Admission

ADTR

Admission System: ADTR

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Admission System: ADTR

Attending and Service are linked in EPIC via ADTR interface

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ADTR/EPIC

Medical Record

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Why does it matter?

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Patient Admitted To EP Service. Wrong Attending And Wrong Service Are

Identified In Epic. Nursing Unable To Reach Attending Or

Service. 8 Hours On The Floor Without Being Seen. Patient Had Complete Heart Block And Sent

For Urgent Procedure.

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Patient With End-stage Aortic Stenosis Is On Imaging Service.

He Has Just Been Made DNR By Primary Team. Patient’s Vitals Become Unstable. Wrong Service Is Listed And Subsequently

Contacted. “No One On Our Service Is DNR/DNI”. Code Is Called. Chest Compression, Intubation, Etc Actual Team Arrives And Stops Code.

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Nurse Manager Pages With Unable To Find Team Of Patient Going To Surgery …

Paged At Home As Unable To Find Team … Abnormal Lab Of K=8.9, Cannot Find

Physician… Prescription Needed At Discharged, Team Is

Not Identified… CMET Called, Primary Team Not Identified… Surgeon At Bedside, Trying To Find Primary

Service… Patient Admitted, Needs Orders And

Service/Attending Is Incorrect… Patient Has Positive Blood Cultures, Listed

Attending Is Incorrect… Consult Team At Bedside And Needs To Talk

To Primary Team…

Patient Ready For Cath, Consent, But Patient Has Not Seen Dr. …

Patient Ready For Discharge. No Team Has Seen Patient In 3 Days …

New Admission From Yesterday. Needs Orders And H&P …

Patient Needs Home O2. No Attending Of Record In EPIC…

Who Is Taking Care Of … Transfer From Outside Hospital Arrived

This Morning. May Need Intubation. Attending Is Out Of Town…

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Existing Methods: Attribution

October 5, 2011

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0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Yes No Not Identified

10%

45%45%N=2224

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0%10%20%30%40%50%60%70%80%90%

100%

Yes No Not Identified

N=2224

22%

78%

1%

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Existing Methods:

Main Campus Attribution

November 28, 2011

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Does EPIC Identify The Correct

Attending In Main Campus?

55%

36%

9%

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30%

61%

9%

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Impact

Attending

Physician

45,000 Messages/Day

16.5 Million/Year

Clinical Care

HCAPHS LOS

Quality Readmission

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Epic Banner - Visibility

*Disclaimer – Terms Epic Banner and Epic Header

are used interchangeably and are the same

To change the

Attending Physician

that is displayed in the

Epic Header, left click

Attdg:

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Attribution Development Arc

Case for Change

PresentationsWinter 2012

Final HVI Rules of Engagement

Project Initiation April 2012

October 2012Initial Technical Build September 2012

Final Technical Build November 2012

All HVI Announcement December 3, 2012

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Compliance

Rule 1 – The accuracy of the attending physician

and service information is the responsibility of the

clinical team (NP, PA, house staff, staff)

Rule 2 – At any moment in time, whatever

information is listed within the Epic banner is the

truth and will be acted upon for the purpose of

clinical care

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Project Impact - Epic Banner

6 Days Post Go Live

0%

20%

40%

60%

80%

100%

Attending Service

Prior

45%

(100)

94%

(319)73%

(250)

22%

(48)

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Long-Term

Sustainability?

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Accuracy of Attending and Service

45%

68%

93% 89% 96%

22% 23%

73%

68%

90%

0%

20%

40%

60%

80%

100%

Baseline 30 DaysPrior

7 DaysPost

30 DaysPost

180 DaysPost

Attending

Service

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Identifying Diagnoses:

“What Conditions Do Our

Patients Have?”

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Problem List

• Problem List

• Standardized Documentation

• Diagnosis of Heart Failure

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Problem List Use by Year (%)

Go Live May 2009

0

20

40

60

80

100

2008 2009 2010 2011 2012 2013

HVI

CC Main

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How Long Is Our Quality

Feedback Cycle to

Physicians?

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2011 Process

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Real-Time Quality FeedbackCore Measure/Yellow Triangle

Integration of:

• Problem List

• Epic Banner

• Standardized Documentation

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Service

Attending

Physician

Real Time

Quality Measures

Problem List

DX

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1. Prescribe Medication

2. Allergy/Contraindication (Permanent)

3. Contraindication Order (Single Admission)

4. Wait to Decide Later Date

While in Hospital

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HVI Quality MeasuresYellow Triangle

100

90

85

95

2012

%

J F M A M J J A S O N D J F M A M J J A S O N

2013

Yellow Triangle Go Live

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100

90

75

95

2012

%

J F M A M J J A S O N D J F M A M J J A S O N

2013

Yellow Triangle Go Live

All Locations Quality Measures Yellow Triangle

85

80

HVI

Non HVI

Main

Campus

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When is the patient

scheduled for follow up?

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Goals of Follow Up Appointment

• Follow Up Appointment Scheduling Starts

At Admission

• All Patients Discharged With Scheduled

Appointments

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HVI Follow Up Appointment Order

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HVI

Scheduling

Order Routed to Scheduling Pool

Text Page Routed to Physician

Follow Up Order Communication

PhysicianPlacesOrder

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Patient Communication

• Scheduled appointment information included on Discharge Summary

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Follow Up Appointment Order

Order Count - All HVI Services

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Foundational Initiatives

Integration of:

• Epic Banner

• Data Attribution

• Problem List

• Standardized Documentation

• Follow Up Appointment Order

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MULTI-LEVEL INCLUSION

MULTI-DISCIPLINARYDOCUMENTATION

PROOF OF CONCEPT

Foundational

SOFT/HARD STOP

HEART FAILUREDISCHARGE CHECKLIST

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Scope of the Problem• Readmissions Named Highest Enterprise

Priority

• Readmissions Project Fails To Reduce

Main Campus Readmissions

• 2012 Enterprise $2 Million CMS Penalty

• HVI Requested To Take Greater

Involvement And Leadership

• HVI Proposed Discharge Checklist

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Risk of Readmission after

Myocardial Infarction (MI)

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Risk of Readmission All Cause

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HVI Data

• Preventable Readmissions Occur Early

• More Outpatient Followup = More Readmissions

• Discharge Followup Phone Calls = No Impact

• Telemonitoring = No Impact

• Hypothesis: “Defect” Is In-hospital Or In Transition

At Discharge

• HVI Proposes Discharge Checklist And

In-hospital Care Metrics

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Discharge Checklist PilotJ72 Heart Failure Discharge Checklist PILOT

Sticker

Admission Date: ______________________

Nursing Date / Initials

? Care Partner Identified

? Nursing HF Education with Booklet

?Disease Education

?Daily Weights (patient calendar)

?Activity level

?I & Os

?Low Sodium Diet

?Fluid Restriction

?Medications

- Hand-outs given

- Initial Introduction

- Reinforcement

- Teach Back

? Survival Skills Class/EMMI TV Education (Course 560)

Multidisciplinary Consults Date / Initials

? Transitional Coach Consult

? age >65 years

? if needed, consult for high risk

? Seen by Transitional Coach

? If identified on Nursing Assessment: Nutrition consult placed

? If Nutrition consult not needed: Place Nutrition Screen

? Seen by Nutrition

? Pharmacy Education Consult placed for patients admitted w/ primary diagnosis heart failure

? EXCEPT post-CTS patient

? Seen by Pharmacy

Physicians/Nurse Practitioners Date / Initials

? Order for social support services/home care services/Heart Care at Home, if indicated

? Near optimal pharmacologic therapy initiated or achieved and any intolerances documented

? No symptomatic supine or standing hypotension (Orthostatic BPs require order)

? " Dry Weight" established and patient/caregiver informed of this goal

? Near optimal volume status achieved

? Stable renal function and acceptable electrolyte panel

? Core Measure Status Completed: Yellow Triangles Cleared

? Discharge medication reconciliation completed

MD/NP: PLEASE LIST PROVIDER PATIENT IS TO FOLLOW UP WITH (below and on blue appt. sheet)

Identify Primary Care Physician - Name ___________________________________________________________

7 Day LIP Appt/30 Day Cardiology MD Appt **BLUE APPT. SHEET COMPLETED**

7 Day LIP Appt/30 Day Cardiology MD Appt SCHEDULED (per HUC)

Case Management Date / Initials

? Discharge Needs identified

? Home Care visit offered

? Final post-discharge arrangements made

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Methods

• Paper-Based Checklist

• Heart Failure Patients On Heart Failure A & B

Service

• Expected 12 Week Design

• Intention-To-Treat Analysis

• Concurrent And Historical Controls

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30 Day Readmission Rates

Source: Outcomes Readmissions System, Business Intelligence

Target Group n Rate

Total 1° dx. HF admissions Main Campus 358

number 30 day readmission 67 18.7%

Total 1° dx. HF admissions HVI 273

number 30 day readmission 48 17.6%

Total 1 ° dx. HF admissions J7-2

(with and without DC checklist) 145

number 30 day readmission 29 20.0%

Total 1° dx. HF admissions J7-2 not included

in the Pilot (NO checklist) 77

number 30 day readmission 17 22.1%

Total 1° & 2° dx. HF admissions J7-2 included

in the Pilot (checklist used) 82

number 30 day readmission 12 14.6%

n Rate

339

83 24.5%

242

55 22.7%

107

27 25.2%

48

12 25.0%

68

18 26.5%

2013 2012

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Subsequent Longitudinal Results

Checklist Stopped

Checklist Restarted

Organizational Goal – 20%

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Paper HF Checklist

Pilot Issues• Paper-based Checklist

• Manually Intensive

• Limited Reporting Capabilities

• Could Not Scale Paper Process To Other Areas

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MULTI-LEVEL INCLUSION

MULTI-DISCIPLINARYDOCUMENTATION

PROOF OF CONCEPT

Foundational

Proof of Concept

SOFT/HARD STOP

HEART FAILUREDISCHARGE CHECKLIST

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Transition From Paper To Electronic

Not So Simple

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Paper Check List

Workflow1. Show The Paper Checklist

2. Locate Paper Checklist In Room

3. Update Paper Checklist In The Patient’s

Room

4. Display Paper Checklist In The Patient’s

Room

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Checklist WorkflowDefine Clinical Workflow

Flo

or

Nu

rse

Fe

llow

/NP

Assis

tan

t N

urs

e

Ma

na

ge

rIn

Pa

tie

nt F

loo

r

Clinical Measures for HF Service:

1. BNP>500

2. E/F<40

3. Medications – Hydralazine isordil.

4. Any patient history of heart failure

5. H&P – physician documentation of chief complaint.

Patient admitted to J072

ANM reviews clinical measures.

If meets criteria, enter HF

service and problem list dx

At patient admission

1.Review IP shared list

2. Release appropriate Consult order/individual for:

- Nutrition

- Pharmacy

- Case Management

(order set updating for conditional order status)

Staff Nurse

1. Staff nurse complete/s HF education using doc flow sheet.

2. Staff nurse includes HF in patient education nursing note in Epic.

Notes

- Staff physicians changes every two weeks.

- Fellows changes monthly

- Dr. Bott-Silverman educates new staff and new fellows using/involved with the new check list process. Education session is

10-15 minutes per education session.

- Items not completed on paper check list are not completed/left blank on the paper check list.

-

Fellows/NP

1. Fellow/NP completes each item on check list.

2. Once check list item is complete, Fellow/NP will initial and date the

check list item.

3. Fellow/NP may or may not include actual documentation in EpicCare

Yes

Patient does not meet clinical criteria

for Heart FailureStandard inpatient

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Checklist WorkflowDefine Shared Medical Appointments

<

Patient Discharged

Ap

po

intm

en

t C

en

ter

Qu

alit

y D

ire

cto

rH

ea

lth U

nit

Co

ord

ina

tor

Heart Failure Discharge Check List - Administrative

Weekly

1. ANM faxing/scan paper discharge check list to QD.

2. Data capture of check list documented onto master

spreadsheet.

Post Discharge

1. Documents daily patient discharge/s.

2. 30 days post discharge, QD is verifying patient

readmission.

3. Reporting/data capture of each check list category is

being documented/captured.

HUC

7 and 30 day appointment

scheduling coordinated by HUC.

Schedule follow up at

Cleveland Clinic?

HUC contacts appt center to

coordinate the appointment

scheduling process.

Follow up appts scheduled

- Follow up appointments print/included on the after

visit summary.

- After visit summary handed to the patient as home

going documentation.

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Transition from Paper to Electronic

Planning and Design

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Transition Requirements

• Governance Structure For Electronic Checklist

• Funding For Contracted Resources

• Identifying The Key Roles On The Paper Check

List And Where The Documentation Will Be

Completed In The Electronic Medical Record

• Define Electronic Documentation Clinical

Workflow

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HF Check List Governance

Cleveland Clinic Executive Team

Clinical Leadership

Khot/Bott-Silverman/Starling/Pengel/Svensson

Quality I.T. Nutrition PharmacyCare

ManagementNursing

Multi-Disciplinary Working Team

Quality I.T. Nutrition PharmacyNursing

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Identifying the WhoNursing Activities

• For Each Role:

- Identify Who Is Documenting

- Where The Work Activity Is

Being Completed In The EMR

- What Work Activity Satisfies

The Activity

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Example – Nursing DocumentationPaper

Discrete Data Capture Of Nursing

Documentation In The Patient

Chart

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Example – Pharmacy DocumentationPaper

Discrete Data Capture

Of Pharmacy

Documentation In The

Patient Chart

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Example – Care Management Documentation

Paper

Discrete Data Capture Of Care

Management Documentation In The

Patient Chart

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Example – Physician DocumentationPaper

Discrete Data Capture Of Physician

Documentation In The Patient

Chart

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Electronic Unified Documentation• Multi-disciplinary, Multiuser

• Physician

• Nursing

• Nutrition

• Pharmacy

• Care Management

• Check List Report Updates Immediately As Items Are Completed

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Multi User/Multi DisciplinaryNursing

Documentation

Pharmacy

Documentation

Physician

Documentation

Care Management Documentation

Nutrition Documentation

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Real Time Check List ReportNursing

Nutrition

Pharmacy

Care Management

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Real Time Check List Report

Physician

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MULTI-LEVEL INCLUSION

Electronic Multidisciplinary

Foundational

Proof of Concept

SOFT/HARD STOP

HEART FAILUREDISCHARGE CHECKLIST

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Challenge

Most Patients Admitted to Hospital

Do Not Have Heart Failure

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Multi level Inclusion Criteria

Inclusion Criteria:

1. Cardiology Service

2. Non-ICU J Building Units

3. Problem List Dx of HF

Exclusion Criteria:

1. Patients Admitted with Observation Status

1. Cardiology Service

2. Non-ICU Building Nursing Unit

3. Problem List

Documented

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Technology Enablement21 Units

Diagnosis -

Thousands

22 Services

J31 J51 J61 J71J52 J62 J72J53 J63 J73

Heart Failure A ICU

Clinical Card A

CTS Team A - E

AMI Open Heart Heart Failure

J32J33

J54J55J56

J64J65J66

Heart Failure B

Clinical Card B

MidlevelInterventionImaging

EPVasc Surg BlueVasc Surg BlackVasc Surg Green

AFIB Thoracic Vascular

Census =344

HF DC Check

List Patients Meet Criteria = 62

Exclusion

CriteriaPatients admitted with

Observation Status

J81J82J83

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Multi-Level Inclusion

Electronic Multidisciplinary

Foundational

Proof of Concept

SOFT/HARD STOP

HEART FAILUREDISCHARGE CHECKLIST

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Real Time Check List and

Visualization

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Real Time Check List and

Visualization

Hover over red stop sign shows which check list items are not complete.

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Documentation Compliance

Electronic Soft Stop

• Temporary

• Can Bypass Check List Logic

Electronic Hard Stop (05/13/14)

• Force Check List Compliance

• Cannot Write DC Order

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Electronic Soft Stop

Yes NoDo you want to accept these orders anyway?

Electronic Soft Stop – Order can be bypassed

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Electronic Hard Stop

Electronic Hard Stop – Order cannot be bypassed

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Multi-Level Inclusion

Electronic Multidisciplinary

Foundational

Proof of Concept

SOFT/HARD STOP

HEART FAILUREDISCHARGE CHECKLIST

Soft/Hard Stop

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Discharge Checklist

Development Arc

HVI Case for Change

Governance

PresentationSeptember 11, 2013

Project InitiationJanuary 10, 2014

April 4, 2014Initial Technical BuildFebruary 25, 2014

Final Technical Build April 9, 2014

HVI Full Go-Live

May 7, 2014J72 Pilot Initiation

November 1, 2014

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Check List Evolution

Paper to Electronic

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Multi-Level Inclusion

Electronic Multidisciplinary

Foundational

Proof of Concept

Addressing Clinical Reality

HEART FAILUREDISCHARGE CHECKLIST

Soft/Hard Stop

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Program CostsOperational

Development Hours 1,982

Contracted Resource Cost $208,375

Initial Implementation

Development Hours 117

Contracted Resource Cost $5,850

Optimization Efforts

Total IT Cost $214,225

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AcknowledgementsTim Sobol Debbie Brosovich

Kathleen Kravitz Gary Kish

Colette Einloth Joy Yuhas

Anita Ullman Molly Loy

Cheryll Miller Bonnie Javurek

Brent Hicks Mike Militello

Randall Starling, MD Eric Sokn

Corrine Bott-Silverman, MD Kate Sibila

Josalyn Meyer Sue Gatchel

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Technology Summary

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Ten Information Technology Innovations

Patient Banner

Problem List

Real Time Core Measures

Multidisciplinary Documentation

Multi Level Inclusion Criteria

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Ten Information Technology Innovations

Follow Up Appointment

Electronic Order Hard Stop

Shared Medical Appointments

Tableau Reporting

Hover Over

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Heart Failure Checklist

Technical And Operational Success With 100% HVI Implementation

Important Lesson: We Underappreciated The Importance Of Human/Technology Interface

Reflects True Multidisciplinary Coordination Of Care

Decrease In Readmissions Locally And Public Reporting

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Multi Level Inclusion

Electronic Multi Disciplinary

Foundational

Proof of Concept

Addressing Clinical Reality

Clinical Impact

Soft/Hard Stop

Heart Failure Checklist

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121

Questions

• Speaker Contact Information

• Umesh Khot – [email protected]

• Kathleen Kravitz – [email protected]

• Tim Sobol – [email protected]

• Please complete online session evaluation

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