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Tying It All Together: Informatics In Action Sherri Hess, MS-IS, BSN, RN, Director of Nursing Informatics, Denver Health System Andrew Steele, MD, MPH, CMIO, Denver Health System

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Page 1: Tying It All Together: Informatics In Actions3.amazonaws.com/rdcms-himss/files/production/public/FileDownlo… · Tying It All Together: Informatics In Action Sherri Hess, MS-IS,

Tying It All Together: Informatics In Action Sherri Hess, MS-IS, BSN, RN, Director of Nursing Informatics, Denver Health System

Andrew Steele, MD, MPH, CMIO, Denver Health System

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Denver Health

Integrated public safety net institution 5,300 employees Closed medical staff 500 bed hospital Extensive primary care network Level I Trauma Center Public Health Department

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Denver Health Over 190,000 patients 25% of Denver population Payer mix

– 45% Medicaid – 18% Uninsured – 10% Medicare – 27% Other

$4B in unsponsored care since 1992

~$400M in 2013

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Clinical Technology Strategy

Patient /Family

and Provider

Dashboard Single Sign-

on Enterprise Master Patient Index

Results Repository

Clinical Decision Support

PACS/ Imaging System

CPOE

Immuni-zation

Tracking

Enterprise Document Manage-

ment

Data Warehouse

Analytics / BI

Dashboard

Medication Admini-stration Check

Clinical Documen

tation

Patient Portal

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Centers for Medicare and Medicaid Services: ACO

"an organization of health care providers that agrees to be accountable for the quality, cost, and overall care…

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ACO Original Core Principals

Provider-led organizations – Strong base of primary care – Accountable for quality and total per capita costs – Provide full continuum of care for a population of

patients Payments that are linked to quality improvements that also reduce overall costs Use sophisticated performance measurement

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Payment Reforms Will Motivate and Reward Innovation at a Whole New Level -Todd Park, Chief Technology Officer, U.S. Department of Health and Human Services

• Shared savings; redesigned care processes for high quality, efficient delivery

Accountable Care

Organizations

• Organized outpatient care, coordination and team-based approaches

Patient Centered

Medical Homes

• Pilot program for episodes of care; incentivizes reduced costs around eight conditions

Bundled Payments

• Motivates hospitals to engage with care coordinators and better organize delivery systems

Readmission Reduction Programs

Timely Clinical Data, Decision Support Care Integration Tools Technology to Extend Physician Reach Consumer Engagement Tools/Platforms/Apps Data Mining/Analytics

IT Innovations Needed:

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Denver Health Clinical Informatics History

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Denver Health Clinical Informatics History

• Pre 1998- rare nurse or physician on a committee • 1998- 2002: 0.5 FTE Physician Champion • 2010-2011: slowly added Master level Informatics Manager

• 2012: –added Director of Nursing Informatics – added 7 informatics nurses –added 8 physicians (0.2) FTE each

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Denver Health Informatics Team

3 Physicians 12 RN’s

RN’s - 6 Masters in Health Informatics/IS; 2 in Grad School; 1 in DNP School

2 Pharmacists PharmD Future: ~25 RN FTE’s, ~6 MD FTE’s, ~4 Pharmacy FTE’s, ~4 ancillary FTE’s

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Ratio of RN Informaticists

Item Number RN Ratio

Hospital Discharges 25,000 1087

Employees 5,500 239

Outpatient Visits 600,000 26087

Oupatient Members 120,000 5217

Net Revenue $700,000,000.00 $30,434,782.61

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Roles of Informaticists at Denver Health

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Roles of Informaticists at Denver Health • Order Sets • Workflow/Clinical Decision Support • Analysis of enhancement or new functionality • Design • Go-live support • Testing • Day to day clinical assistance • Education • Application support & build: new or upgrades • Committee Participation

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Denver Health Committees

•Provider/RN Engagement –Physician Advisory (PAC) 10

physicians –Nursing Informatics Council

(NIC) ~35 nurses –Clinical Champions,

• >100 Providers, 200 RN’s, 150 HCP/Others

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Accomplishments At Denver Health

• Over hauled EHR Class • Communication: Tips and Tricks, Huddle, Doc Box

• Verbal Unsigned Orders from 3.5% to 0.1% • Point of Care Decision Support • 22 new clinical order sets • 35 Live workflows

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Verbal Orders

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The Joint Commission Tracers

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Huddle Sheets – As Needed

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Tips and Tricks – Monthly

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Doc Box News

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Roles of Informaticists at Denver Health

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Data Warehousing: Denver Health

Data Warehouse

Pharmacy Radiology Laboratory

Demographics Financial

Pathology Encounter Pulmonary GI Lab

Ultrasound EDM Forms

Fetal Monitoring ED Med Recon OR

2009

2007

2008

1998

Orders Med Administration

Vaccinations Wait List/Referrals Scheduling Nursing Documentation

2010

Workflow

Custom Interfaces

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BI at Point of Care

5/15/2014 24

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How Does the Clinical Decision Support Team Help?

• With Clinical Champions, Stakeholders, and Clinical Practice Committee, design, coordinate, test, implement and evaluation Clinical Order Sets.

– Care set • Guides the care of a specific type of patient/diagnosis/symptom, or defines a certain aspect of

care

– Admission Set • Guides the care of newly admitted patients; can be specific to a unit, area, or subset of

patients.

– Perioperative Set • Guides the care in preparation for or recovery from surgery.

– Picklist • Conglomeration of orders without clinical guidance created to help providers efficiently search

for and choose certain orders.

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How Does the Clinical Decision Support Team Help?

• Linking orders to improve efficiency & patient safety – TPN-Couple PCO and Pharm Order

• Places notification order for pharmacy when TPN is ordered – Respiratory-Notify RT with vent/CPAP/BIPAP changes

• Notifies RT when vent/CPAP/BIPAP, etc. are revised or discontinued – RT-Blood Gas/Blood Draw

• Notifies RT when a blood gas is ordered, discontinued, or revised – RT-RT Therapy/Med Treatment

• Notifies RT when a med with route “INH” or “NEB” is ordered, revised, or discontinued

– Behavioral Health Emeds • Automatically places and discontinues nursing notification order when EMED

meds are ordered or discontinued. – RT Mini BAL

• When respiratory culture ordered, RT notified if sample is a Mini-BAL (which is a lab collected by RT), but does NOT notify RT if the sample is selected to be “bronchoalveolar lavage” (which is a lab collected when doing a scope procedure)

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How Does the Clinical Decision Support Team Help?

• Real-time quality reporting alert examples – Central Line

• Identify patients with eligible central lines and evaluate need for removal in order to assist in the reduction of central line associated blood infections.

– Urinary Catheter • Identify patients with Foley catheters and evaluate need for removal in order

to assist in the reduction of catheter-associated urinary tract infections.

– Infection Control • Alert the infection prevention team of positive infection results for infections

requiring isolation, VRE, Cdiff, MRSA.

– Rapid Response on End of Shift Report • Alert Charge Nurses and Clinical Nurse Educators of significant changes in

the patient condition and determine the need for an Adult Rapid Response at 0600 and 1800.

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How Does the Clinical Decision Support Team Help?

• CMS compliance alert examples

– Heart Failure • Alert the Healthy Heart

Nurses of potential Heart Failure (HF) patients.

– AMI • Alert the Health Heart

Nurses of potential Acute Myocardial Infarction (AMI) patients >= 18 years of age.

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Real Reason For Informaticists

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Journey To A Career In Informaticist at Denver Health

•On the job training -> Super User •Informatics Certifications •Practicum/Internship •Degree programs

–CU Denver –Regis –University of Denver

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Is It Worth It?

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Denver Health Childhood Immunizations

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Denver Health Hospital Survival

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Clinical Informatics in Health Care

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mHealth Integration

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Chronic Care Management: Using a “Customer Relationship Management (CRM)” Application

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References

http://www.amia.org/ https://www.ania.org/ http://www.himss.org/index.aspx McLane, S., Turley, J.P. (2011). Informaticians. The Journal of Nursing Administration, 41, 1. Jt Comm J Qual Patient Saf. 2011 Mar;37(3):99-109.