Industries
Healthcare Analytics That Inform Decisions, Not Just Reports
Healthcare organizations generate enormous volumes of clinical, financial, and operational data across disconnected systems. Most reporting is manual, backward-looking, and mistrusted. We help leadership teams consolidate their data, automate reporting, and build the operational visibility required for value-based care.
The Data Problem in Healthcare
Most healthcare organizations do not have a data problem. They have a fragmentation problem.
Clinical data lives in the EHR. Financial data lives in the GL. Payroll, scheduling, supply chain, claims, and quality reporting each have their own system. When leadership asks a cross-functional question — "What's our cost per patient day by service line?" or "How does staffing correlate with readmission rates?" — someone spends a week pulling numbers from four systems into a spreadsheet.
The result: reports that arrive too late, numbers that don't match between departments, and board meetings driven by gut feel instead of shared facts.
This gets harder as the industry moves toward value-based care. CMS's AHEAD model, ACO participation, and quality-based reimbursement all require hospitals to demonstrate operational readiness through data — cost transparency, population health outcomes, financial sustainability under global budgets. Most hospitals cannot produce this evidence because their data infrastructure was built for fee-for-service billing, not for operational decision-making.
We help healthcare organizations close that gap.
What We See Across Healthcare Organizations
Fragmented Systems, No Single Source of Truth
EHR, payroll, GL, scheduling, claims, and quality tools don't talk to each other. Leadership can't get a unified view without manual reconciliation.
Manual Reporting That Consumes Leadership Time
CFOs and department heads spend hours compiling reports from multiple systems. One client's regional directors were spending 1,194 hours per month on manual report compilation before automation.
Data Nobody Trusts
When numbers don't match between systems, leadership stops using data for decisions. "If the hours-worked numbers are accurate, this is a game changer" — that conditional "if" is the problem.
Value-Based Care Readiness Gaps
AHEAD, ACO, and quality-based reimbursement models require unified operational views that most hospitals cannot produce with their current infrastructure.
Board Prep as a Multi-Day Scramble
Quarterly board packages should take minutes, not weeks. When leadership reviews become "a quick glance" instead of a data-gathering exercise, organizations make better decisions.
HIPAA and Compliance Complexity
Any analytics solution must support role-level security, audit trails, and data governance from day one — not bolted on later.
How We Work With Healthcare Organizations
We start by understanding how decisions are currently made — who needs what information, how they get it today, and where the gaps are. Then we design and build:
- ✓Unified data layers connecting EHR, financial, workforce, and operational systems
- ✓Automated reporting that eliminates manual spreadsheet compilation
- ✓Role-based dashboards with HIPAA-compliant access controls
- ✓KPI frameworks aligned to how your organization actually operates — executive scorecards, department views, and frontline metrics
- ✓Data governance — data dictionaries, lineage documentation, quality monitoring
See this approach applied to rural health: our RHT Compass platform integrates 10 federal data sources into a single queryable layer covering 6,663 hospitals nationwide.
Every engagement is designed to produce walk-away value. If you stop working with us after Phase 1, you still have a documented strategy your team can execute.
Results That Speak for Themselves
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Projects Delivered
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Dollars Saved Annually — Single Client
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Hours/Month of Manual Reporting Automated
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Reports Automated — Single Healthcare Client
How We Helped a Healthcare Organization Save 1,194 Hours Per Month
A behavioral health organization with 90+ locations across multiple regions had the same problem most healthcare organizations face: clinical data in one system, payroll in another, financials in a third, and leadership compiling reports by hand every week.
We assessed their landscape, recommended a unified analytics platform, built role-based dashboards with HIPAA-compliant security, and identified 5 manual reporting processes for automation.
Projected result: 1,194 hours per month of leadership time redirected from spreadsheet work to patient care. $736,920 per year in projected savings.
You're saving hours every week by eliminating the manual busywork — now we can pull it in 30 seconds.
— Regional Director
Frequently Asked Questions
Do you work with our existing EHR and financial systems?
Yes. We integrate with whatever systems you have — Epic, Cerner, MEDITECH, athenahealth, CPSI/TruBridge, and others. We also connect payroll, GL, scheduling, and quality reporting tools. We don't replace your systems; we connect them.
Is the engagement fully virtual?
Most engagements are 100% virtual. For organizations with cloud-based EHR systems (athenahealth, MEDITECH MaaS, Epic Community Connect), everything can be done remotely. For legacy on-premise systems, we may need a 1-2 day on-site kickoff to understand the technical environment, with the remainder done virtually.
How long does a typical engagement take?
Phase 1 (Assessment & Quick Wins) takes 4-6 weeks and produces an actionable strategy document and initial dashboards. Phase 2 (Platform Build) takes 8-12 weeks. Organizations see value within the first month.
What about HIPAA compliance?
Every engagement includes HIPAA-compliant architecture from day one: role-level security, data encryption, audit trails, and access controls. We don't bolt compliance on afterward — it's built into the foundation.
How is this different from our EHR's built-in reporting?
EHR reporting shows clinical data. Your GL shows financial data. Your payroll system shows workforce data. None of them show you the cross-functional view leadership needs — "how does staffing affect quality scores?" or "what's our cost per patient day by service line?" We build that unified layer on top of your existing systems.
What does it cost?
Phase 1 (Assessment & Quick Wins) starts at $10-20K. Many rural hospitals fund this through HRSA Flex Program grants or state rural health programs. We design pricing so that Phase 1 delivers standalone value — no pressure to continue to Phase 2.
Success Stories in Healthcare
Unified Business Intelligence for a Multi-Region Healthcare Organization
A behavioral health organization with 90+ locations consolidated three disconnected systems into unified analytics, projecting $736,920/year in savings from automating 5 manual reporting processes.
Operational Scorecards and Team Enablement for a Growing Wellness Franchise
How VisionWrights built operational scorecards and coached an internal analytics team for SweatHouz — centralizing data from 7 sources into a single dashboard with row-level security.
Insights for Healthcare
Business Intelligence
Rural Hospital Analytics: Making the Case With the Data You Already Have
Rural hospitals have less data infrastructure but more at stake. Here's how to build analytical capabilities with limited resources.
Data Strategy
AHEAD Model Readiness: A Practical Guide for Hospital Leadership
CMS's AHEAD model ties hospital payments to total cost of care. Here's what hospital leaders need to know about data readiness before the transition.
Data Strategy
Healthcare Data Fragmentation: Why Your Systems Don't Talk to Each Other
Most healthcare organizations run 10-20 disconnected systems. Here's why integration matters more than any single tool — and where to start.
Related Industries
See What Your Data Can Do
We'll map your current data landscape, identify your biggest reporting time-sinks, and show you what a unified operational view could look like. No commitment required.