Data Across the Continuum of...
Transcript of Data Across the Continuum of...
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Data Across the Continuum of Care
Nursing Symposium, February 11, 2019
Becky Fox, MSN, RN-BC, Chief Nursing Informatics Officer
Stephanie H. McIntyre, MBA, RN-BC, CHPQ, Assistant Vice President, Information & Analytics Services
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Becky Guess Fox and Stephanie H. McIntyre have no real or apparent conflicts of interest to report.
Conflict of Interest
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• Data challenges across the continuum
– Current healthcare landscape and challenges in US
– How has data landscape has changed?
– Data across the continuum drives value
– Alignment and practical applications
– Data challenges
• Define how data can be used to change individual behavior
– Stakeholders
– Comprehensive Assessment
– Examples
– Suggested Steps
Agenda
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• Discuss how nurse informaticists can ensure proper systems translation and communication
– Definition
– How?
• Identify essential organizational players and their vital roles in transitional care
– Key players
– Thinking differently
• Provide key takeaways in identifying source data for specific transitions of care
– Data sources
– Care Management across the continuum
• Lessons learned from our organization
Agenda (continued)
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• Identify potential challenges with data flow across the continuum
• Define ways data can be used to change individual behavior
• Discuss how nurse informaticists can ensure proper systems translation and communication
• Identify essential organizational players and their vital roles in transitional care
• Provide key takeaways in identifying source data for specific transitions of care
Learning Objectives
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Data challenges across the continuum
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Healthcare Challenges in the US 250,000 deaths per year due to medical error
Comprises 18% of GDP . . . and increasing
US quality ranks low when compared to other developed countries
$3.06 trillion spent in 2014*; growing at rate of 5.8 percent**
“Waste” = $765 Billion (30% of total):
– $210B – unnecessary services
– $190B – excessive administrative costs
– $130B inefficiently delivered services
– $105B prices too high
– $75B fraud
– $55B – missed prevention opportunities
Over 54 Million Enrolled in Medicare^; 78 Million by 2030 (last year of baby boomer eligibility)
Sources: *Office of the Actuary at the Centers for Medicare and Medicaid Services; **National Health Expenditure Projections, CMS; ^Kaiser Family Foundation;
^^Facts on Medicare Spending, Kaiser Family Foundation; ^^^2013 Actuarial Report, Department of Health and Human Services
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How has the data landscape changed?
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Data Across the Continuum
LONGITUDINAL PERFORMANCE MANAGEMENT
(Population Health Management)
PayersPhysician
OrgsCINs ACOs Employers
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Data across the continuum
Connect the
continuum
Empower patients,
care teams,
and organizations
Facilitateknowledge-driven
care
and continuous
learning
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Outpatien
t
Ambulatory
Home
HealthAcute
CareSNF
Lab
Patient
Epic Cerner EMR1 EMR 2 EMR 3 EMR 4 EMR 5
Data Repository & Master Patient Index
Population Health Platform
Care
Transitions
Care
Gaps/Healt
h
Disparities
Risk
Stratificatio
n
Chronic Care
ManagementWellness
Support
Alignment
of Social
Services
Disease
Managemen
t
ED
Utilization
Need to focus alignment of data that will enable us to:
• Assist in strategic decision-making
• Risk stratify patients and populations
• Analyze potential opportunities for care improvement and cost reduction
• Assess gaps in care delivered
Alignment of Data and Information
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What is the practical application?
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Interoperability
•Variability in systems
•Expense to aggregate and normalize
•Timeliness
Security and Privacy
•Risk
•Data Use Agreements
•May limit access
Applicability
•Turning data into actionable information
•Embedding meaningful data into workflow
•Emerging patient engagement technologies
Data Quality
•Provider Attribution
•Data Validation
•Patient Generated Data
•Data Governance
Culture
•Perfect vs Good
•Overengineering
•Crawl before Walking
Data Challenges
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Using Data to Change Behavior
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Stakeholders and things that influence
• All stakeholders benefit when patients reach their optimum level of wellness, self-care management, and functional capability. These stakeholders include the patients, their support systems, and the healthcare delivery system providers of care, the employers, and payors.
Ability to Self-Care
Developmental State
Resource availability
Health State
Family system factors
Sociocultural orientation
Age
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Comprehensive AssessmentMedication Adherence Assessment and Evaluation
Environment, Resources and Services
Financial Health
Fitness Habits
DME/Functional Evaluation
Skilled Services Evaluation
Systems Evaluation
Barriers to Care
PHQ-9 and Referral to BHI if warranted
Readiness to Change
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Summary Diabetic Cohort Study
n=2599, 30% reduction in overall visits and 28% reduction
in overall billed charges for a total of $6,288,550 reduction
Pre and Post 180 days enrollment
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Amb. Care Mgmt: Hgb A1C (n=961)
Compare lab values in patient cohort 1 month prior to ACM program enrollment and 1 month prior to program graduation date
Average 1
month prior to
program
enrollment:
Average
HbA1C: 9.50
Median HbA1C:
9.10
Average 1
month prior to
program
graduation:
Average
HbA1C: 7.04
Median HbA1C:
7.00
Statistically significant reduction in HbA1C is found pre and
post ACM program enrollment at group Level
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ED High Utilizer Cohort
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Ability to view preventable ED visit volume by hospital
Key metrics including number of
visits and net margin by age
bands
Preventable ED visit detail by practice
attribution
Filter visit volume by condition
Building Visibility
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Building Visibility
Filters for preventable ED category and
primary diagnosis
Ability to view practice-level volumes of
preventable ED visits
Graphic illustration of visit type by time
of day
Patient density analysis by distance
to nearest ED
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Use Data to Build Patient Population ListIdentifying Markers in the Data
• 30 or more visits within one EMR
• 158 patients identified
• 7054 visits
• $22,022,370 charges
Payor Mix
• 2003 Self Pay
• 2084 Medicaid
• 918 Managed Care
• 464 Medicare Advantage
• 1560 Medicare
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Craft TacticsGame Plan
• Contact patients and enroll
within appropriate care
management programs
– Identify barriers to care
– Enroll in applicable programs
(BH, substance abuse, housing,
etc. )
– Keep ongoing contact
– 1st Data, YTD Feb
• Monthly roll call
– March 24th
Goal: Reduce Billed Charges
50%
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Work as a TeamRunning Man Intervention
• Data Analysis
• Who
• Payor
• Diagnosis
• Time of Day
• Then
– Patient Interview
– Structured data collection
• interventions
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Work as a Team
ED Bouncing Ball Icon
The icon will display on the FirstNet tracking
board in the Events column as soon as the
patient is registered to the ED.
At the same time, a page/email will also be sent
to the CCM distribution list for each facility.
The logic behind the icon and page is looking for
at least one Inpatient visit that was discharged
within 30 days of the current ED visit’s arrival
time.
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See Results
• Based on the incredible work by the IAS Team and the Care Management Team, there has been a 46% overall reduction in ED admissions in three months.
• Existing resources at CHS are being leveraged to help this group of patients. The Transitions Clinic is one example of how repurposing could keep the ED admissions down and help us hit our system goals.
• Systems are now in place to catch these patients that may have fallen through the cracks previously due to bouncing around locations, lower charges, lower numbers of inpatient admissions, or lack of complex chronic or rising risk data screening.
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Nurse Informaticists can ensure proper translation and communication
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“The specialty that integrates nursing science with multiple information management and analytical sciences to identify,
define, manage, and communicate data, information, knowledge, and wisdom in nursing practice.
NI supports nurses, consumers, patients, the interprofessional healthcare team, and other stakeholders in their decision-making
in all roles and settings to achieve desired outcomes.
This support is accomplished through the use of information structures, information processes, and information technology.”
https://www.himss.org/what-nursing-informatics
Nursing Informaticists
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• Validating data quality from external sources and ensure correct matching
• Understand current and future state workflow
• Operationalize how clinicians will use
• Support teams with change management through the transition
• Leverage Clinical Decision Support
– At the right time
– Meaningful alert
– Breakdown the data
– Example
• Understand business, financial, strategic impact to the organization
• Communicating differently
How can Nursing Informaticists contribute?
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• Registry Development
– Understand clinical processes
– Identify care gaps/workflow challenge
– Validate populations and measures
– Support providers around attribution
Example
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Essential Organizational Players and their Vital Roles in Transitional Care
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• Everyone plays (or will play) a role in Population Health!
• Key will be the requirement of a cultural shift and not “the way
we’ve always done it”
• Requires understanding of the bigger picture and the bigger
contribution
Essential Organization Players
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Think di erentlyff• Sharing the EMR or view (not just sending pt with a paper packet)
• Extending your care coordination technologies (Seeing care that occurs outside of your organizational walls, e.g. Patient Ping)
• Creating bi-directional feedback loops (Connecting with outside resources, e.g.Connecting services for a patient with Aunt Bertha)
• Ensuring a feedback loop
• Connecting clinical leaders at both locations
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• Care Management / Home Health (including from the payors) that can assist in smoothing the processes – has to extend beyond the traditional players
– E.g. aunt Bertha examples – faith based, don’t just be stuck in nurse in acute and nurse in SNF
– Social determinants of health play a part in this and understanding communities and the societal support
Their Vital Roles in Transitional Care
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Alignment of Assets and Stakeholders
Physicians &
Providers
Post Acute Patients
Leaders &
Associates
Acute Care
Facilities
Payers &
Employers
Ambulatory
We need to integrate all aspects of care to improve quality,
reduce costs and improve outcomes for the patients we serve.
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Key Takeaways in Identifying Source Data for Specific Transitions of Care
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Data across the continuum
Connect the
continuum
Empowerpatients, care
teams,
and organizations
Facilitateknowledge-driven
care
and continuous
learning
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And many more…
• Faith based organizations
• Community resource organizations
• Patient self-management solutions
• Other potential business / health/ pharma / vendors will continue to morph in this space
BE PREPARED to innovate or think outside the box!
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Cross Continuum Care Management
Mu
lti-
Dis
cip
linar
y Te
am
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• Highest ED utilizer in Atrium System for at least past 3 years (over 1500 service/visits within Atrium Health
• Jan – April 2018 (120 calendar days), Joe has had 104 ED visits
• Other 16 days spent inpatient or observation
• ED, Inpatient, and Observation Facility Charges from 2015-2017 are over: $1,570,900
• YTD 2018 charges are $366,125
Joe’s Story
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Meet Joe
• Joe comes to ED because of an
overwhelming fear he will die of
numerous different medical
ailments.
• He lives in a car and moves
between parking decks (CMC-
Main and Union) to have quick
access to the ED.
• Joe notes that the only thing that
helps him feel normal is coming to
the ED daily and having a doctor
reassure him that he will be fine.
• PTSD
• Overwhelming anxiety
• Hypochondriasis
• Major Depressive
Disorder
• Alcohol Use Disorder
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New concept: Population Health version of Medical Ground Rounds
Launched on May 18, 2018
Multi-Disciplinary team meets monthly and present complex unresolved cases
Through critical thinking and collaboration an action plan is designed
Focused efforts to solve for self-imposed constraints and for absence of process
How do we know about Joe?
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What did we do for Joe?
Care Team MeetingPARC Staffing
ScheduledObtained Housing (and sold his car)
Daily Behavioral Health Therapy
Assigned to Primary Care
Provider
Cell Phone, Food Stamps,
Medicaid, SSI
Daily Community Paramedicine
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Update on Joe
“Yeah things are moving in the right
direction. Finely, I feel like a human again.”
Only 3 ED visits since Joe secured housing on June 12
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• Understand your process drivers for defining the data you need
and don’t try to “boil the ocean”
• Leverage informaticists in the data aggregation and validation
processes
• Consider what each stakeholder needs to know and that the
information you share is actionable, or connected to automatic
actions
• Think differently
• Consider the patient holistically
• Share data to support the patient’s specific needs
Lessons Learned and Key Take Aways from Our Organization
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Contact information:
Becky G. Fox, MSN, RN-BC
Chief Nursing Informatics Officer
Linkedin: Becky Fox
Stephanie H. McIntyre, MBA, RN-BC, CRHQ
Assistant Vice President, Information and Analytics Services
Linkedin: Stephanie H. McIntyre
Please remember to complete the online session evaluation
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