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The use of EHR data in quality

improvement reports and clinical

automatic calculators in ICU

Vitaly Herasevich, MD, PhD, MSs

Assistant Professor of Medicine and Anesthesiology, Department of Anesthesiology,

Multidisciplinary Epidemiology and Translational Research in Intensive Care (M.E.T.R.I.C.) Jun 2014

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Disclosure

1) Mayo Clinic and I have Financial Conflict of Interest related to this research.

2) This research has been reviewed by the Mayo Clinic Conflict of Interest

Review Board and is being conducted in compliance with Mayo Clinic Conflict of interest Policies

3) AWARE is patent pending (US 2010/0198622, 12/697861,

PCT/US2010/022750)

4) AWARE is licensed to Ambient Clinical Analytics

5) Cloud AWARE funded by a Health Care Innovation Award (HCIA) granted

to Mayo Clinic (Grant # 1C1CMS330964-01-00) from Centers for Medicare and Medicaid Services (CMS), Center for Medicare and Medicaid Innovation (CMMI) “Patient Centered Cloud-based Electronic System: Ambient Warning and Response Evaluation (ProCCESs AWARE)”. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Department of Health and Human Services (HHS) or any of its

agencies.

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Healthcare

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Historically

It has been well documented that quality

measurement has the ability to improve the

quality of care delivered by providers.

(6)

Reports

(7)

Requirement

Hospitals have been facing growing

demands to participate in quality

measurement for a number of purposes

(e.g., accreditation and licensure).

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Problem #1: What to measure?

Quality of care is usually estimated:

in structure,

process,

and outcome.

The metrics describing those domains are

often poorly defined and difficult to measure

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©2011 MFMER | slide-10

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Problem #1

Association is not causation

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Problem #2: Validity of

administrative data for reports

©2011 MFMER | slide-12

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Problem #2:

How are the AHRQ QIs structured?

Definitions based on:

ICD-9-CM diagnosis and procedure codes

Often along with other measures (e.g., DRG, MDC,

sex, age, procedure dates, admission type)

Numerator = number of cases with the outcome of

interest (e.g., cases with pneumonia)

Denominator = population at risk (e.g., community

population)

Observed rate = numerator/denominator

Some QIs measured as volume counts

©2011 MFMER | slide-13

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Problem #3: Meaningful metrics

Does it change decision?

Does it actionable?

(15)

Problem #3:

Is it matters?

The hospital where former President Bill Clinton awaits

bypass surgery in the next few days

has the highest

death rate for the operation in New York State

,

according to the state's Health Department. While the

death rate is quite low - fewer than 4 percent of all bypass

operations -

it is still nearly double

the 2.18 percent

overall death rate

for coronary bypass operations in all 35

hospitals that perform the procedure in the state.

(16)

Is there are solution?

- EMR may help

With the current rate of growth and adoption of

EHR, it present a tremendous opportunity for

quality improvement projects (which is been

done by manual data collection at a very large

scale)

This had been proven to be dissatisfactory and

consumes time and human resources.

(17)

Problem

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AWARE - Provider built EMR enhancement

Reduced cognitive load (happy clinicians) Reduced errors (happy patients) Standard Interface Novel Interface Reduced time (happy administrators)

Ahmed A, Chandra S, Herasevich V, et al. The effect of two different electronic health record user interfaces on intensive care provider task load, errors of cognition, and performance. Critical Care Medicine 2011;39(7):1626-1634.

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©2011 MFMER | slide-20

Some PROCESS AWARE components

Hand over • Essential information at a glance • Focused on patient problems Claim patient • Links provider and patients • One stop communication Task list • Shared list of tasks • Outside of clinical note Rounding tool (Checklist) • Structured clinical assessment • Generates clinical note Multipatient viewer Single patient viewer

ED OR PACU ICU Floor

Tools for stage 3 meaningful EMR use

• Group level population management • Pertinent clinical information Resuscitation module • Addresses time sensitive clinical interventions Administrative dashboard • Resource planning, Quality improvement

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Actionable real-time reports

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“Are you AWARE” sign posted in ICUs AWARE formal launch in ICU New residents and fellows started Critical Care Fellows 2 hour AWARE training AWARE training mandatory to all Nurse Practitione rs Pulmon ary Fellows

trained One–on–one training for attendin gs Real time compliance reports become available

Real-time providers feedback

Anesth esia Reside nts trained

(25)

Main features AWARE

administrative dasboard

1. No manual data collection

2. Use clinical data, not administrative

3. Validated scientifically (and technically)

4. Excellent usability and visualization

(26)

Patient centered outcomes of interest

Better care:

Adherence to and appropriateness of processes of care

Provider satisfaction

Better health:

Rate of ICU acquired complications,

Discharge home,

Hospital mortality,

ICU and hospital readmission

Lower cost:

Resource utilization,

Severity adjusted length of ICU and hospital stay

Cost

(27)

“Offline” ICU Reports

• Monthly reports

• Ad-hock reports

• Customized reports

1. Hospital Length of Stay for ICU Graduates –

Unadjusted

2. ICU Length of Stay – Unadjusted 3. ICU Length of Stay – Adjusted 4. ICU Readmission Rate

5. ICU Admissions

6. ICU Admission Source and Service 7. Duration of Mechanical Ventilation 8. ICU Mortality Rate – Unadjusted 9. Hospital Mortality Rate – Adjusted

10. ICU Admissions for Low-Risk Monitoring 11. ICU Census - Hourly Utilization

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Resources – start here:

1. AHRQ -

http://effectivehealthcare.ahrq.gov/

2. The Joint Commission -

http://www.jointcommission.org/performance_meas

urement.aspx

3. CMS -

https://www.cms.gov/Research-Statistics-Data-

and-Systems/Research-Statistics-Data-and-Systems.html

Registries for Evaluating Patient Outcomes: A User's Guide: 2nd Edition -

http://effectivehealthcare.ahrq.gov/index.cfm/search-for-guides-reviews-and-reports/?productid=531&pageaction=displayproduct

Outcome Measure Framework (OMF) Design Document - http://effectivehealthcare.ahrq.gov/search-for-guides-reviews-and-reports/?pageaction=displayproduct&productID=1916

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This message is part of Creating the Future [email protected] Ognjen Gajic, MD Brian Pickering, MD Vitaly Herasevich, MD, PhD [email protected] [email protected]

Lacey Hart – CMS grant program manager

[email protected]

Google

“Clinical informatics Mayo”

Programming:

Ing Tiong – Lead developer Troy Neumann

John Dyke

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