HealthcareOperations
Revenue cycle gaps and capacity constraints compound when clinical and operational data stay siloed.
We build HIPAA-aligned data infrastructure connecting your EHR, scheduling, billing, and HR systems, so administrators and clinical leaders see throughput, utilization, and revenue risk together.
Improve throughput and revenue cycle performance with live dashboards on bed utilization, AR days, denial rates, and staff scheduling efficiency.
The operational reality of healthcare
Revenue cycle bottlenecks invisible until cash slips
AR ages, denials accumulate, and collections slow before anyone in finance sees the pattern. By the time the report lands, the damage to cash flow is already done.
Bed and resource utilization tracked after the fact
Bed management decisions happen with yesterday's data or with a phone call to the charge nurse. Real-time visibility does not exist.
Staffing decisions run on outdated data
Scheduling decisions are made on yesterday's census. Overstaffing and understaffing cost money daily but the feedback loop is too slow to act on.
Denials and write-offs eat margin invisibly
Claims denials are tracked in aggregate but not by payer, category, or provider. The same denial reasons recur because root cause is never surfaced.
The KPIs we surface for healthcare operators
How we help healthcare operations
HIPAA-aligned data warehouse and pipelines
Data infrastructure built to HIPAA standards from architecture through access controls. PHI handling, BAA coverage, and audit logging included.
Revenue cycle analytics with denial root cause
Track AR aging, denial rates by payer and category, and clean claim rates in real time. Surface root causes before patterns become habits.
Real-time bed and resource dashboards
Live bed availability, patient flow, and resource utilization across every unit and site. Charge nurses and operations directors see the same real-time picture.
Staffing optimization models
Census-based staffing models that adjust recommendations in real time based on patient volume, acuity, and shift patterns.
AI document intelligence for claims and auth
Automated extraction from prior authorization requests, claim forms, and clinical documentation. Reduce manual review time and submission errors.
Patient flow forecasting
Demand forecasting for patient volume by unit, day of week, and seasonal pattern. Help operations plan capacity before demand peaks arrive.
Some of the systems we connect with
These are some of the platforms we connect. We integrate with almost any system. If you run it, we can likely work with it.
Where this applies
Multi-site clinic: revenue cycle transparency
A multi-site outpatient clinic group had denial rates of 12 to 18% at different sites but could not identify which payers, providers, or denial codes were responsible. Monthly reports were not granular enough to act on.
We built a revenue cycle dashboard connected to the practice management system. Denial rates by payer and denial code became visible in real time. Targeted corrective action reduced denial rates to 7% within 90 days.
Health system: real-time bed and throughput visibility
A regional health system had no real-time view of bed availability, patient flow, or discharge readiness. Bed management decisions relied on floor-by-floor phone calls that took 20 minutes to complete.
We connected the EHR to a Sigma dashboard. Bed availability, patient acuity, and discharge status are now visible across all units in real time. Average bed wait time decreased by 22%.
Hospital: staffing optimization by census
A hospital was experiencing both mandatory overtime and scheduled overstaffing within the same month. Scheduling was done 2 weeks in advance without real-time census data feeding the process.
We built a census-based staffing model that adjusts scheduling recommendations daily based on projected patient volume. Overtime cost decreased by 18% in the first quarter.
Outcomes you can expect
Related Services
Frequently asked questions
Revenue cycle and operations visibility in real time.
Book a free call and we will show you what healthcare analytics can deliver in 60 days.