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Data Validation
and Systems
Interoperability
The Peak of Data
and AI 2025
“FME has allowed
us to solve complex
challenges and
automate key
processes across
the organization,
enabling us to focus
on what really
matters—providing
the best care for
our community.”
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
J oe
Homza
Manager of Information Systems
Chief Information Security Officer
Racker
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
1. Introduction of Racker
2. Challenges
3. How FME Solves the Solution
4. Taking FME Further at Racker
Agenda
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
What is Racker?
A non-profit Human Services agency, spanning Central,
Southern Tier, and Finger Lakes regions of New York.
800 Employees Supporting People with Disabilities through:
• Clinical Services (Therapies for infants through school age)
• Early Childhood Services
• Audiology Clinic
• Residential Services (Group Homes)
• Community Support Services
• Counseling and Intervention Services (Troubled Youth)
• Family Support Services
• Home Health Services
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
Challenges at Racker
• Twenty percent annual turnover rate (US average 33% in industry)
• HIPAA and FERPA Security Compliance
Role-based access
Inventory of all accounts
Disable unused user accounts
Multifactor Implementation
Monitoring logins
Asset Management
Monitoring software/vulnerabilities
• Regulatory Training Compliance
Office of People with Developmental Disabilities
Office of Mental Health
NYS Department of Education
• Paper -Based Billing
• Multiple Electronic Health Records Systems
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
An Evolution of Design
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
Paper-Based Billing for Therapy Services
● Monthly printouts of session notes, 1 per page
● 2,500+ sessions each month
● Snail mailed and data entered in Counties’
billings systems
● 3-4-month backlog on data entry and
reimbursement
(My first FME Flow (2019))
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
FME: Electronic-Based Billing for Therapy Services
● Daily FME Flow alerts Therapists of data
entry errors
● Monthly FME Flow pulls session data and
matches each service to county’s records
● Produces XMLimport file from SQLand
Excel data Readers
● Data files produced in 5 minutes, and
monthly billing completed in 1 hour per
month
● Eliminated backlog of ~$300,000 per
month in reimbursements
The next evolution
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
FME: Evolution to Big Data Processing and KPIAnalysis
● How many sessions per Therapist?
● Average time to complete billing notes?
● Shortest and Longest times to complete?
● How many corrections, and how far back?
● Day of week staff‘catch up’?
145,000 records
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
Role-Based Access
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
Inventorying and Disabling Accounts
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
Multifactor Authentication
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
Asset Management and Monitoring
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
Regulatory and Training Compliance
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
Taking FME Further at Racker
● Currently implemented 45 FME flows to automate
business systems
● SaaS error checks and reporting limitations
● Account and Access Controls from risk, by source
○ Overdue for required trainings
○ Failing Phishing campaigns
○ In-use and/or overdue on updates and patching
○ Not working before official terminations
● Leveraging FacialRecognition AIto identify individuals
○ Auto tagging people for events
○ Photo Release forms completed?
2025
The
P
e
a
k
of
Da
ta
a
nd
AI
Thank You
J oe Homza
Racker
J oe@Racker.org

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Data Validation and System Interoperability