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Boost Revenue by Reducing No-
shows/Cancellations
Webinar – How to Ask Live Questions
2
Presenter
3
Jas Grewal, CEO
CareSkore
Mountain View, CA
Agenda
 No-show/cancellation impact
 Addressing the problem
 Risk-adjusted engagement
 Case study: Methodist
4
Factors Driving No-shows/Cancellations
 Behavioral/financial
 Forget
 Transportation issues
 Ability to pay
 Fear of bad news
5
 Social determinants
 Live alone?
 Own a car?
 Credit history
 Illegal drug use
Cost of No-show/Cancellations
 Overbooking/understaffing
 Discourages arriving patients and staff on low-no-show days
 Missed care by no-shows negatively impact clinical
outcomes
6
* http://ahec.health.ufl.edu/chs/2002/Noshows.pdf#sthash. OChH25JI.dpuf
**Physician Practice
25% >$150 K
Average of scheduled
appointments missed*
Per physician cost**
4 missed appts/day, $150 each
$144,000/yr, $10 K admin costs
Benefits of Reducing No-show/cancellations
7
Know each patient’s
miss/cancel
likelihood and why at
scheduling
Take actions to
address that
patient’s “why”
Immediate Revenue
Impact
Automated Care
Management
Improved Patient
Engagement
Develop, launch care
programs for specific
use cases
Engage with bi-
directional
communication to
involve patient
actively in their own
care
Addressing the Problem: Options
Overbook
 “Insurance” against
missed appointments
8
Blanket Outreach
 Apply standard tactics
across all patients
Risk-adjusted patient
engagement
 Identify high-risk patients
 Craft and implement pre-visit
engagement strategy per patient
Precision
Impact
Targeted Patient Engagement
 Tailoring engagement to individual patients
 Established, new, referral
 Individualized risk predictions
 Risk assessment
 Clinical and financial history
 Social determinants
9
CareSkore Overview: Analytics and AI
10
11
Predictions and
Risk Stratification
External Intelligence Network Enrichment Patient Engagement
ZEUS IRIS
• Identify patients at
risk of no-show and
cancellation
• Get access to 23
external sources
• Aggregate data from
more than 300 data
points per patient
• Data enrichment
and cleansing
• Establish best
outreach
mechanism
• AI powered Bi-
directional patient
communication
• Telehealth, remote
device integration
Use Case: No-show and Cancellation Reduction
Reduction Reduction50%16%
Revenue
Opportunity
1% drop in no-
shows/cancellations
Estimated annual revenue
$750/Physician/Month
12
Network Data
Enrichment
Outreach Baseline Personalized Outreach
IRIS
• Specific 3rd party sources
to enhance and fill the
gaps in patient information
• Establish outreach preference
– Email, IVR or Text
• Support for up to 40
languages
• Health Reminders
• Medication Adherence
• Disease Management
• Appointment Reminders
• Patient Payment Reminds
• Provider Marketing and
Surveys
• Discharge Management
• AI powered Bi-
directional patient
communication
• Telehealth and
Remote device
integration
Use Case: Increased Patient Engagement
Increase in member
engagement
Higher member
outreach achieved through bi –
directional communication
35%25%
Clinical & Financial
Opportunity
Better HCAHPS
Scores
Manage behavioral
conditions effectively
Ensure compliance
AI powered
Patient Engagement
Example Heat Map for No-shows/Cancellations
 Higher rate of no-shows and
cancellation in the afternoons
 12 – 1 PM and after 3 PM are
the worst
 Most cancellations happen
late in the day
Key Observations
13
Operationalizing the Insights
Workflow
Modifications
Real-time
Data
Update
Optimize
Staffing
• Put appointment confirmation
process in place for the “red”
areas
• Apply IRIS to all high-risk
afternoon and Friday
appointments
• Integrate IRIS capabilities with
scheduling team’s workflow to
ensure outreach to unresponsive
patients
• Understand key day/time slots to
change staffing schedules in
clinics
• Leverage IRIS to automate low
level tasks
• Let higher-value team members
handle more critical patients,
improving overall patient
satisfaction
14
Operationalizing Insights
Example Use Case – No Show or Cancellation for last 2 appointments
Example Use Case – Real-time appointment reminders
1 2 3
Daily reporting of
all appointments
Focus on high risk
patients for specific
time of the day
Send tailored phone
call or message
reminders with real-
time traffic reminders
and directions
Put IRIS in place
in conjunction
with front office
processes
1 2 3
By Month
By Day
By Time
Review historic no-
show, cancellation
data for specific
patients
Design care program
for the specific disease
state, focus on reducing
no-shows/cancellation
for those patients
Enable IRIS care
programs and
enable care teams
to drive higher
attendance rates
15
Example: Sarah
4 days before the
appointment
1 day before the
appointment
Day of the
appointment
• Single mother
• Previous no show
• High deductible
plan
• Just had a knee replacement surgery 3 weeks
ago
• Due for a checkup
16
Example: Mark
• Has support of his wife for his care
• Just had a knee replacement surgery 3 weeks ago
• Due for a checkup
2 days before the appointment Day of the appointment
17
Case Study: Methodist Hospital
 Problem: Some departments seeing NSR of 27%
 Impact: Estimated annual lost revenue of $875,000
 Some overbooking and manual reminders by staff
 No real insights into patient behavioral risks
 Negative impact on outcomes for patients missing appointments
 Results: After 9 months
 Reduction of NSR by over half to an average of 11%
 Estimated annual recovered hard and soft costs of ~$650,000
 Patient satisfaction scores up
18
PERSONALIZED POPULATION MANAGEMENT
TM
Questions?
866.987.0001 | www.careskore.com | info@careskore.com

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Boost Revenue by Reducing No-shows and Cancellations

  • 1. Boost Revenue by Reducing No- shows/Cancellations
  • 2. Webinar – How to Ask Live Questions 2
  • 4. Agenda  No-show/cancellation impact  Addressing the problem  Risk-adjusted engagement  Case study: Methodist 4
  • 5. Factors Driving No-shows/Cancellations  Behavioral/financial  Forget  Transportation issues  Ability to pay  Fear of bad news 5  Social determinants  Live alone?  Own a car?  Credit history  Illegal drug use
  • 6. Cost of No-show/Cancellations  Overbooking/understaffing  Discourages arriving patients and staff on low-no-show days  Missed care by no-shows negatively impact clinical outcomes 6 * http://ahec.health.ufl.edu/chs/2002/Noshows.pdf#sthash. OChH25JI.dpuf **Physician Practice 25% >$150 K Average of scheduled appointments missed* Per physician cost** 4 missed appts/day, $150 each $144,000/yr, $10 K admin costs
  • 7. Benefits of Reducing No-show/cancellations 7 Know each patient’s miss/cancel likelihood and why at scheduling Take actions to address that patient’s “why” Immediate Revenue Impact Automated Care Management Improved Patient Engagement Develop, launch care programs for specific use cases Engage with bi- directional communication to involve patient actively in their own care
  • 8. Addressing the Problem: Options Overbook  “Insurance” against missed appointments 8 Blanket Outreach  Apply standard tactics across all patients Risk-adjusted patient engagement  Identify high-risk patients  Craft and implement pre-visit engagement strategy per patient Precision Impact
  • 9. Targeted Patient Engagement  Tailoring engagement to individual patients  Established, new, referral  Individualized risk predictions  Risk assessment  Clinical and financial history  Social determinants 9
  • 11. 11 Predictions and Risk Stratification External Intelligence Network Enrichment Patient Engagement ZEUS IRIS • Identify patients at risk of no-show and cancellation • Get access to 23 external sources • Aggregate data from more than 300 data points per patient • Data enrichment and cleansing • Establish best outreach mechanism • AI powered Bi- directional patient communication • Telehealth, remote device integration Use Case: No-show and Cancellation Reduction Reduction Reduction50%16% Revenue Opportunity 1% drop in no- shows/cancellations Estimated annual revenue $750/Physician/Month
  • 12. 12 Network Data Enrichment Outreach Baseline Personalized Outreach IRIS • Specific 3rd party sources to enhance and fill the gaps in patient information • Establish outreach preference – Email, IVR or Text • Support for up to 40 languages • Health Reminders • Medication Adherence • Disease Management • Appointment Reminders • Patient Payment Reminds • Provider Marketing and Surveys • Discharge Management • AI powered Bi- directional patient communication • Telehealth and Remote device integration Use Case: Increased Patient Engagement Increase in member engagement Higher member outreach achieved through bi – directional communication 35%25% Clinical & Financial Opportunity Better HCAHPS Scores Manage behavioral conditions effectively Ensure compliance AI powered Patient Engagement
  • 13. Example Heat Map for No-shows/Cancellations  Higher rate of no-shows and cancellation in the afternoons  12 – 1 PM and after 3 PM are the worst  Most cancellations happen late in the day Key Observations 13
  • 14. Operationalizing the Insights Workflow Modifications Real-time Data Update Optimize Staffing • Put appointment confirmation process in place for the “red” areas • Apply IRIS to all high-risk afternoon and Friday appointments • Integrate IRIS capabilities with scheduling team’s workflow to ensure outreach to unresponsive patients • Understand key day/time slots to change staffing schedules in clinics • Leverage IRIS to automate low level tasks • Let higher-value team members handle more critical patients, improving overall patient satisfaction 14
  • 15. Operationalizing Insights Example Use Case – No Show or Cancellation for last 2 appointments Example Use Case – Real-time appointment reminders 1 2 3 Daily reporting of all appointments Focus on high risk patients for specific time of the day Send tailored phone call or message reminders with real- time traffic reminders and directions Put IRIS in place in conjunction with front office processes 1 2 3 By Month By Day By Time Review historic no- show, cancellation data for specific patients Design care program for the specific disease state, focus on reducing no-shows/cancellation for those patients Enable IRIS care programs and enable care teams to drive higher attendance rates 15
  • 16. Example: Sarah 4 days before the appointment 1 day before the appointment Day of the appointment • Single mother • Previous no show • High deductible plan • Just had a knee replacement surgery 3 weeks ago • Due for a checkup 16
  • 17. Example: Mark • Has support of his wife for his care • Just had a knee replacement surgery 3 weeks ago • Due for a checkup 2 days before the appointment Day of the appointment 17
  • 18. Case Study: Methodist Hospital  Problem: Some departments seeing NSR of 27%  Impact: Estimated annual lost revenue of $875,000  Some overbooking and manual reminders by staff  No real insights into patient behavioral risks  Negative impact on outcomes for patients missing appointments  Results: After 9 months  Reduction of NSR by over half to an average of 11%  Estimated annual recovered hard and soft costs of ~$650,000  Patient satisfaction scores up 18
  • 19. PERSONALIZED POPULATION MANAGEMENT TM Questions? 866.987.0001 | www.careskore.com | info@careskore.com