Operational Analysis, Financial Analysis, and Reporting for Healthcare Companies
We help healthcare providers turn their Electronic Health Record (EHR) data into a strategic asset for improving clinical and operational decision-making.
Analysis and Report Development from EHR Data: We build custom reports tailored to answer your business' critical questions, including:
Which clinicians in your network are most productive?
Why are patient discharge rates drastically different across clinics?
Which patients or insurance companies have the highest rejection rates?
How have patients' PHQ-9 and GAD-7 scores changed throughout their treatment?
Predictive Analytics and Decision Support: We build predictive models to support clinical and operational decisions. For example, we have developed models that combine data points like drug screening results, treatment duration, and changes in assessment scores to estimate patient readiness for discharge. Results are displayed through executive dashboards that allow leadership to identify patients who might benefit from a discharge review, supporting—not replacing—clinical judgment.
Business Process Automation: We automate manual, time-consuming processes. For instance, we have designed automated incentive calculators that incorporate RVUs, encounter volume, payer mix, productivity thresholds, and organization-specific rules. These calculators integrate directly with monthly production data to automatically calculate payments and provide detailed breakdowns for transparency.
The case studies below illustrates how Rooted Solutions partners with healthcare companies to optimize clinical operations and improve patient outcomes. While the scenarios presented here are fictional to protect client confidentiality, every service, workflow, and analytical approach described is based on work Rooted Solutions has successfully performed with past clients.
Case Studies: Building Data Systems for Healthcare Outcomes
Case Study #1: Tracking Patient Progress Throughout Behavioral Health Treatment
Riverbend Behavioral Health is a regional outpatient behavioral healthcare provider with twelve clinics across the Southeast. Clinical leadership wants to better understand whether patients are improving throughout treatment, but existing reporting only provides snapshots of individual visits rather than longitudinal outcomes.
Leadership wants to answer several important questions:
Are patients improving during treatment?
How long does improvement typically take?
Do outcomes differ across clinicians or clinics?
Can these insights support accreditation and quality improvement initiatives?
Our Engagement
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Rooted Solutions partnered with Riverbend to develop a longitudinal outcomes reporting system using electronic medical record (EMR) data. Assessment data, including PHQ-9 and GAD-7 scores, were extracted, cleaned, and linked across each patient’s course of treatment.
Using SQL and statistical analysis, Rooted Solutions calculated changes in average and median assessment scores over time while segmenting outcomes by clinic, diagnosis, clinician, and treatment duration. Interactive dashboards allowed leadership to monitor patient improvement trends while supporting accreditation reviews and internal quality improvement efforts. -
Leadership gained a standardized method for measuring treatment effectiveness across the organization. Rather than relying on anecdotal evidence, clinicians and executives could monitor patient outcomes using objective measures and identify opportunities to improve care delivery.
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EMR Data Analysis
Clinical Outcomes Reporting
Statistical Analysis
Dashboard Development
Case Study #2: Developing a Provider Incentive Calculator
A growing behavioral healthcare organization wanted to implement a provider incentive program that rewarded productivity while maintaining transparency and consistency across dozens of clinicians.
Existing incentive calculations required hours of manual spreadsheet work each month and often resulted in inconsistent calculations that were difficult for providers to verify.
Our Engagement
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Rooted Solutions worked with executive leadership to design an automated incentive calculator that incorporated RVUs, encounter volume, payer mix, productivity thresholds, and organization-specific compensation rules.
The calculator integrated directly with monthly production data and automatically calculated incentive payments while providing detailed breakdowns showing how each payment was derived. -
The organization significantly reduced administrative effort while giving providers greater confidence in the transparency and accuracy of their incentive calculations.
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Business Process Automation
Financial Analytics
Compensation Modeling
Dashboard Development
Case Study #3: Predicting Patient Readiness for Discharge
A behavioral healthcare organization wanted to better understand which patients were ready for discharge so clinicians could focus their time on individuals who required continued treatment.
Discharge decisions relied heavily on clinician judgment despite having years of clinical assessment and treatment history stored within the organization’s electronic medical record system.
Our Engagement
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Rooted Solutions collected data on drug screening results, treatment duration, and changes in PHQ-9 and GAD-7 scores.
These variables were combined into a predictive model that estimated patient readiness for discharge. Results were displayed through an executive dashboard that allowed clinical leadership to identify patients who might benefit from discharge review while supporting—not replacing—clinical decision-making. -
The organization gained a proactive decision-support tool that improved consistency in discharge planning while helping clinicians prioritize patient care more effectively.
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Predictive Analytics
EMR Data Analysis
Clinical Decision Support
Dashboard Development