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Reining in Labor Costs with Predictive Analytics
March 2, 2016 MaryPat Sullivan, RN, MSN, CNS
Chief Nursing Officer & Chief Experience Officer
Overlook Medical Center, Atlantic Health System
Conflict of Interest
MaryPat Sullivan, RN, MSN, CNS
Has no real or apparent conflicts of interest to report.
Agenda
• Who We Are
• Creating a Data-Driven Culture
• Predictive Analytics for Capacity Planning
• Outcomes-Based Scorecard
• Achievements to Date
Learning Objectives
• Evaluate the impact of data-driven decision-making on daily operations
• Demonstrate the value of reliably accurate demand forecasts for strategic, budgetary and near-term planning
• Assess how data transparency can help your organization achieve sustainable cost reductions and other desired outcomes
• Illustrate how demand forecasts can be used to actively engage the medical staff
http://www.himss.org/ValueSuite
Benefits Realization
• Patient and Staff Satisfaction
– Anticipated arrivals, reduced wait times
– Predictable schedules
• Treatment/Clinical
– Optimal resource allocation
– Engaged physician leadership
– Decreased care silos
• Electronic Secure Data
– Proactive, data-driven behavior
– Data leveraged across planning horizons
• Savings
– Right-sized capacity
– Reduced labor costs
– Increased efficiency & productivity
Size and Scale • 4 hospital system with $1.8B in
revenue
• Efficient contracts with largest areas
health insurance plans
• Alignment strategies with key
physician groups
• Non-union
Quality and Specialized Services • Gagnon Cardiovascular Institute
• Carol G. Simon Cancer Centers
• Goryeb Children’s Hospital
• Atlantic Neuroscience Institute
• UHC data base participant
Market Leader • Leading market share position, more
than double next nearest competitor
• Excellent socio-demographic
characteristics
• Currently overseeing 2 ACO‘s
At a Glance • 12,114 employees
• 3,168 physicians
• 280 medical residents
• 1,339 licensed beds
• 72,892 admissions
• 7,191 births
• 19,033 inpatient surgeries
• 28,658 same day surgeries
• 205,898 emergency visits
• 697,416 outpatient visits,833
hospice days
6
Atlantic Health System
Atlantic Health System
Vision
Empowering our communities to be the
healthiest in the nation
Mission
• Deliver high quality, safe, affordable
patient care within a healing culture
• Educate, in an exemplary manner,
present and future health care
professionals
• Innovate through leadership
Shared Values
Professionalism, Respect, Involvement,
Dignity, Excellence
• Reduce Costs
• Spend less capital on hospital bricks and mortar
• Tightly manage labor costs
• Increase Revenue
• Increase ambulatory presence
• Reduce leakage
8
Goal: Cut $70M in Costs Over 3 Years
Overlook Medical Center
• 24,478 admissions
• 5,917 inpatient surgeries
• 9,279 same day surgeries
• 96,612 ED visits
• Fortune 100 Best Place to Work
9
4
U.S. News and World Report
• Best Regional Hospital for Neurology, Neurosurgery, Gastroenterology, GI
Surgery, Geriatrics, Gynecology, Nephrology, Pulmonology and Urology
• Neuroscience Institute - Hub for New Jersey Stroke network - treat 40% of
state stroke patients
Overlook Strategic Goals
Desired End State
Desired Competencies
Proactive/real-time decision-making
Improved patient placement
Ability to address and monitor
• Service line profitability
• Labor analytics
• Improve patient
throughput, initially ED
• Match nurse staffing to
patient demand
Primary Goals
Organizational Transparency
Enabling Technology
• Self-serve analytics
The Need for Timely, Data-Driven Decisions
Strategic
Budgetary
Scheduling
Operational
3-5 years 1-2 years 1-4 months >30 days - Today
What do we need to
look like under value-
based purchasing?
Where can we find more
savings without drastic
cuts?
How do we staff for
unknown peaks and
valleys?
What do we need to do
to get these 7 patients
out by noon?
What is the next best
use for this capacity?
…and without hurting
care quality, patient
satisfaction or staff
satisfaction?
What is the down-
stream impact of this
OR schedule?
What can we do today
to prepare for
tomorrow?
How do we optimally deploy our capital and people resources?
Capacity Planning in Healthcare
Process by which hospitals can effectively determine the resources (beds and staff) required to meet the forecast patient demand over a given time period.
Review & Analyze
Historical Trends
Forecast Patient
Demand
Schedule Resources
To Meet Demand
Monitor & Measure
Against Plan
Adjust& Refine Plans
Aligning Resources with Predicted Patient Demand
• Identify patterns and trends
• History based on last 4 years patient demand, last 2 years staffing
• Apply assumptions based on seasonal changes
• Fine-tune timing of demand what initiatives did we put in place
Demand Forecast
Historical Data
Planning Groups
Statistical Algorithms
Staffing
Productivity Measures / LOS
Manual Adjustments
Executive Hospital Overview
14
Proactive Planning & Performance Tracking
1
5
Levers Objective InitiativeMeasures (KPI's) -
Objective Related Baseline 2014 YTD-SEPT- 2015 3 QRT(JAS) TargetPoint Person for
InitiativeSource Report
Increase Inpatient
Discharges by 12 pm 14% 0% 0% 14%
Directors, Nurse
Managers,
Daily Dashboard,
Projection Report,
Medicine/ Surgery 4.0 4.0 3.8 4.0
Neuro 4.8 4.2 4.0 4.8
Critical Care 5.5 5.2 4.8 5.5
Accelerate inpatient discharge time to
facilitate quicker admission from the ED
and reduce late afternoon "hold" bottleneck
Transfer admitted ED
patients to Inpatient bed
within 1 hour of Disposition
1,882 1,092 329 1788
Nursing,
Environmental
Services, Patient
Access
Average Daily
Occupancy, Hourly
Pattern Reports
Utilize McKesson Capacity Planner &
McKesson Performance Visibility
information to support initiatives to reduce
ED Hold time
ED Hold
Overlook & Union61,462 39,093 1,747 58,389 Target for 2015? Terri reports
Nurse managers proactively manage
staffing adjustments 72 hours out - evaluate
staffing schedules to support peak workload
demand
Utilization of Staffing
projections8 Hrs 8 Hrs 36 Hrs 72 Hrs
Staff required vs.
actual summary
report; actual versus
budget report
Initiative Planning Groups Budget 2014 YTD-SEPT- 2015 3 QRT(JAS) Budget Comments HPPD Chart
Medicine 7.24 7.40 7.48 7.24
Surgery 6.90 6.85 6.95 6.90
Neuro 7.55 7.45 7.47 7.55
Critical Care 16.86 17.55 18.12 16.86
Summit ED 2.25 2.13 2.06 2.25
Union ED 1.89 1.69 1.62 1.89
InitiativeDecrease in Overtime by
Planning GroupsUTIL 2014 YTD-SEPT- 2015 3 QRT(JAS) Target 2% Less Comments
Medicine $469,226.03 408,381.19$ 351,366.68$ 459,841.51$
Surgery $243,399.53 215,400.07$ 193,399.02$ 238,531.54$
Neuro $175,241.19 151,692.03$ 140,006.81$ 171,736.37$
Critical Care $337,470.87 244,495.33$ 229,539.55$ 330,721.45$
Summit ED $579,553.33 611,613.20$ 551,610.37$ 567,962.26$
Union ED $292,183.24 379,426.66$ 333,536.85$ 286,339.58$
InitiativeDecrease Agency Usage UTIL 2014 YTD-SEPT- 2015 3 QRT(JAS) Target 1% Less
Comments
RN FTE's $2,506,458.71 1,179,061.28$ 333,568.26$ 2,481,394.12$
Sitters FTE's $2,651,626.37 1,764,756.03$ 450,269.49$ 2,625,110.11$
* Baseline numbers # what was utilizated 2013 NOTE: Sitter Dollars include OVL staff (PCT)
Capacity Planner - Overlook Medical CenterProject Scorecard Matrix (QRT 3# JULY, AUGUST, SEPTEMBER)
MA
RG
IN G
RO
WT
H Q
UA
LIT
Y
Improve
patient
throughput
Match
Staffing to
Demand
Implement robust daily planning &
management process including review and
enhancement of daily meeting structure and
outcomes (Neuro, M/S, CC)
Plus/ Minus 0.3 care hours (ex. Medicine=
x HPPD, target x - HPPD) Productivity
Improvement by Planning Group
Decrease Overtime by 2% at each
Planning Group
Hours Per Patient
Day Chart
Client report on OT
trends Productivity
Report per PP
Forecasting center,
Resource Planning
Centre weekly
agency report PP
Utilization of Planner in ongoing projects to
Agency & Sitters(NEURO, CC, M/S, ED)
Utilization of Planner in ongoing projects to
decrease LOS (Neuro, CC, M/S)
Case Management,
Nursing
Care hours listed is the
avg for the planning
groups Allowed to be
.30 over budget
Use Baseline 2015
Use Baseline 2015
Historic ALOS
Trend Chart
STEPS: Satisfaction
• Staff • Predictable
schedules managed at unit level
• Patients • Arrival and
needs are anticipated
• Patients • Reduced ED
wait times • Hold hours
halved from
~4,800 hours to
~ 2,800 hours
per month
“If the staffing is not balanced appropriately, then my staff get pulled
to other units, which is always a dissatisfier. Now that we know what
type of admissions are arriving and when, we can assign the right
staff and prepare for them.”
Anticipating Hourly Admissions and Discharges
Why are we behind
on projected
discharges? Where
are the delays? What
can we do?
STEPS: Treatment/Clinical
• Optimal resource allocation
• Standardized staffing model
• Balanced workloads
• Engaged physician leadership
• Decreased care silos
• Cooperation at planning group vs. unit level
20
Cooperation at Planning Group Level
Physician Engagement
• Monthly Executive Patient
Throughput Team
– CMO
– Nurse managers
– Physician over Case
Management
– Directors of Neuroscience,
Finance, Operations, ED,
Special Projects Capacity Executive Team
STEPS: Electronic Secure Data
EXAMPLE
#2 TEXT
HERE
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• Proactive, data-driven behavior
• Reliance on single source of truth
• Leveraging data across planning horizons
• “It’s like scarily predictable.”
• “I love that all the information
can be gathered in one place.”
• “The biggest thing is how
accurate it is and how much you
can look at things ahead of time
and then make decisions based
on that.”
• “It creates transparency … that
is the first step in improving
processes.”
23
Projection Accuracy
Leveraging Data Across Planning Horizons
24
STEPS: Savings
• Labor costs • $700,000 in
reduced OT use
• Productivity • .2 day reduction in
NHPPD
• Efficiency • .2 day reduction in
LOS (4.4 to 4.2) • Earlier discharges
• Right-sizing capacity • Flexing surgical and
critical care units
based on predicted
demand @~$3,400
savings/day for
$150K+ savings
to date
http://www.himss.org/ValueSuite
Benefits Recap
• Patient and Staff Satisfaction
– Anticipated arrivals, reduced wait times
– Predictable schedules
• Treatment/Clinical
– Optimal resource allocation
– Engaged physician leadership
– Decreased care silos
• Electronic Secure Data
– Proactive, data-driven behavior
– Data leveraged across planning horizons
• Savings
– Right-sized capacity
– Reduced labor costs
– Increased efficiency & productivity
Questions
MaryPat Sullivan, RN, MSN, CNS
Chief Nursing Officer & Chief Experience Officer
Overlook Medical Center Atlantic Health System