Revenue Cycle Management (RCM) & Financial Analytics

Optimize practice solvency with an automated, end-to-end financial ecosystem designed to minimize claim rejections and accelerate days sales outstanding (DSO).

Revenue and Cash Flow Dashboard

Technical Overview

Our RCM module integrates directly with national payer gateways to provide real-time eligibility verification and claim status tracking. By leveraging predictive analytics, the system identifies potential coding errors (CPT/ICD-10) before submission, reducing denial rates by an average of 35% within the first quarter of implementation.

Core Capabilities

  • Automated Claim Scrubbing: Pre-submission algorithms analyzing claims key-value pairs against payer-specific rulesets.
  • Denial Management Workflow: Categorized work queues for rejected claims with root-cause analysis tooltips.
  • Patient Financial Experience: Digital wallet integration (Apple Pay, Google Pay) and automated payment plan structuring.
  • Ledger Reconciliation: Daily automated sync (EOD) with bank deposits and ERP systems.

Implementation Timeline

Week 1: Gateway Configuration. Secure API handshake with clearinghouses and merchant processors.
Week 2: Historical Migrations. Transfer of aging AR (Accounts Receivable) and patient ledgers.
Week 3: Rule Definition. Customizing fee schedules and denial routing logic.
Week 4: Live Transactional Stream. Full cutover to automated billing cycle.

Clinical Impact Study

Multi-Specialty Clinic, New York

Challenge: 45-day average reimbursement cycle and high manual entry error rate.
Outcome: Reduced DSO to 18 days and recaptured $140k in under-billed revenue annually.

Intelligent Scheduling & Patient Access

Maximize provider utilization and patient adherence through a heuristic scheduling engine and omnichannel engagement framework.

DK

Dr. Kavita Sharma

Cardiology • Blackbeak Hospitals

24
Today's Appointments
6
Pending Confirmations
142
This Week
98%
Attendance Rate
Monday, December 9, 2024
🔍 All Types
📍 Main Clinic
⏰ Duration
09:00 AM
10:00 AM
11:00 AM
12:00 PM
01:00 PM
02:00 PM
03:00 PM
04:00 PM
05:00 PM
09:00 AM - 09:30 AM Confirmed
Rajesh Kumar
Initial Consultation
📞 +91 98765 43210 📋 New Patient
09:45 AM - 10:15 AM Confirmed
Priya Mehta
Routine Checkup
📞 +91 98123 45678 🔄 Follow-up
10:30 AM - 11:00 AM Pending
Amit Patel 🔔
Cardiac Consultation
📱 WhatsApp Booking ⏳ Awaiting Confirmation
11:30 AM - 12:30 PM Confirmed
Sunita Reddy
Pre-Surgery Consultation
🏥 OT Prep Required 📄 Reports Available
02:00 PM - 02:30 PM Confirmed
Mohammad Ali
Post-Surgery Follow-up
🔄 Week 2 Check ✅ Recovery Good
03:00 PM - 03:45 PM Urgent
Emergency Slot
Reserved for Walk-ins
🚨 Available
04:00 PM - 04:30 PM Confirmed
Deepak Singh
ECG Review
📊 Test Results Ready 🔄 Monthly Review
04:45 PM - 05:15 PM Confirmed
Lakshmi Iyer
Blood Pressure Monitoring
📈 Trend Analysis 💊 Medication Review
Consultation
Checkup
Surgery
Follow-up
Emergency
Pending Confirmation

Seamless Patient Experience

While doctors manage their schedules through our intuitive calendar interface, patients can book appointments instantly via WhatsApp. The system automatically syncs bookings in real-time, sending confirmation notifications to both parties and reducing no-shows by 70%.

BH
Blackbeak Hospitals
Online
Hello Amit! 👋 I'm your healthcare assistant. How can I help you today?
10:15 AM
Hi, I need to book an appointment with Dr. Kavita Sharma
10:16 AM
Great! Dr. Kavita Sharma is our cardiology specialist. Let me check her availability for you. 🔍
10:16 AM
📅 Available Slot Found
👨‍⚕️ Dr. Kavita Sharma
📅 Monday, December 9, 2024
10:30 AM - 11:00 AM
🏥 Blackbeak Main Clinic, Room 204
💰 Consultation Fee: ₹800
10:17 AM
Perfect! Confirming this slot
10:18 AM

Technical Overview

The system utilizes a proprietary algorithm to balance provider preferences, appointment acuity, and room availability. Access controls allow for granular configuration of "self-scheduling" rules, ensuring that complex procedures are vetted while routine follow-ups remain frictionless for patients.

Core Capabilities

  • Dynamic Availability Engine: Real-time slot calculation based on procedure duration and provider templates.
  • Omnichannel Reminders: Cascading notification logic (SMS -> WhatsApp -> IVR Call) to confirm attendance 24hr/48hr prior.
  • Waitlist Automation: auto-offering cancelled slots to high-priority waitlisted patients via text.
  • Bi-Directional Calendar Sync: seamless integration with Outlook/Google Workspace for staff availability.

Implementation Timeline

Day 1: Configuration. Define provider schedules, appointment types, and durations.
Day 2: Patient Sync. Import patient contact list for automated notifications.
Day 3: Portal Launch. Activate online booking portal and send announcement SMS to patients.
Week 2: Optimization. Fine-tune reminder cadence and waitlist automation based on initial data.

Clinical Impact Study

Dermatology Center, Austin

Outcome: Reduced no-show rate from 18% to 4% within 60 days, adding 12 billable hours per week.

Clinical Decision Support & Ambient AI Scribe

Augment clinical expertise with an always-on neural network designed to alleviate documentation disputes and enhance diagnostic precision.

Voice Recording Active

● RECORDING

Live Transcription:

Patient presents with chest pain radiating to the left arm. Blood pressure elevated at 145 over 95. Heart rate 88 beats per minute. ECG shows ST elevation...

Instant Clinical Structuring

The raw audio is processed by our medical LLM which identifies key clinical entities (Symptoms, Vitals, Diagnoses) and structures them into a standard SOAP format instantly.

RS

Rajesh Sharma

Male, 58 years • MRN: 2024-0892

💬

Subjective

Patient History

✨ AI Generated

Patient presents with chest pain that began approximately 2 hours ago. Describes the pain as a squeezing sensation radiating to the left arm and jaw. Reports associated shortness of breath and diaphoresis. No relief with rest. Patient has a history of hypertension and type 2 diabetes mellitus.

Denies nausea, vomiting, or loss of consciousness. Family history significant for coronary artery disease (father had MI at age 62).

📊

Objective

Clinical Findings

✨ AI Generated

Vital Signs:

Blood Pressure
145/95
Heart Rate
88 bpm
O₂ Saturation
96%
Temperature
98.6°F

Physical Examination:

Patient appears anxious and diaphoretic. Cardiovascular: Regular rhythm, S1 and S2 normal, no murmurs. ECG shows ST elevation in leads II, III, and aVF consistent with inferior STEMI. Lungs clear to auscultation bilaterally.

Laboratory: Troponin I elevated at 2.4 ng/mL (normal <0.04). Blood glucose 168 mg/dL.

🎯

Assessment

Diagnosis

✨ AI Generated

Primary Diagnosis:

Acute ST-Elevation Myocardial Infarction (STEMI) - inferior wall

Secondary Diagnoses:

Hypertension, uncontrolled
Type 2 Diabetes Mellitus, inadequate glycemic control
Hyperlipidemia (based on history)

Risk Assessment: High risk for complications given diabetes, hypertension, and age. Immediate intervention required.

📋

Plan

Treatment Protocol

✨ AI Generated

Immediate Management:

Emergency cardiac catheterization with possible PCI
• Transfer to CCU for continuous monitoring
• Cardiology consult - Dr. Kavita Sharma paged

Medications Administered:

  • Aspirin 325mg PO (chewed)
  • Clopidogrel 600mg loading dose
  • Heparin IV bolus 5000 units, then drip
  • Nitroglycerin 0.4mg sublingual PRN chest pain
  • Morphine 2-4mg IV for pain management

Follow-up:

• Serial troponin levels q4h
• Continuous cardiac monitoring
Echocardiogram post-procedure
• Discuss cardiac rehabilitation and lifestyle modifications

Technical Overview

Built on a specialized Large Language Model (LLM) tuned on millions of de-identified clinical encounters. The Ambient AI Scribe passively listens to patient-provider dialogue, filtering casual conversation to extract and capitalize distinct medical necessities, populating the EHR in real-time.

Core Capabilities

  • Ambient Documentation: Zero-click generation of HPI (History of Present Illness) and Physical Exam notes.
  • Real-time Interaction Checks: Alerting providers to potential contraindications based on current meds and new prescriptions.
  • Coding Assistance: Automated suggestion of E&M (Evaluation and Management) codes based on documentation complexity.

Implementation Timeline

Day 1: Plugin Installation. Deploy ambient listening hardware and integrate with EMR.
Day 3: Voice Calibration. AI learns provider-specific accent, terminology, and speech patterns.
Day 7: Accuracy Review. First weekly audit to fine-tune AI suggestions and reduce false positives.
Day 14: Full Deployment. Live documentation with real-time clinical decision support.

Clinical Impact Study

Internal Medicine Practice, Chicago

Challenge: Providers spending 2+ hours on documentation after clinic hours.
Outcome: Reduced charting time by 70%, allowing physicians to see 3 additional patients daily.

Electronic Medical Records (EMR/EHR)

A longitudinal, interoperable patient data repository designed for high-velocity retrieval and secure interoperability (FHIR/HL7).

Technical Overview

Our cloud-native architecture ensures sub-second query response times for patient histories, regardless of dataset size. Security protocols include AES-256 encryption at rest and TLS 1.3 in transit, fully compliant with HIPAA, GDPR, and SOC2 Type II standards.

Core Capabilities

  • Interoperability: Seamless HL7 data exchange with external labs (Quest, LabCorp) and hospital systems.
  • Role-Based Access Control (RBAC): Granular permissions ensuring staff strictly access "Need-to-Know" PHI.
  • Integrated Vitals Tracking: Direct IoT ingestion from connected blood pressure cuffs and scales.

Implementation Timeline

Week 1: Chart Digitization. Professional scanning team digitizes active paper charts.
Week 2: Cloud Migration. Encrypted transfer of digital files to HIPAA-compliant cloud storage.
Week 3: Data Verification. Providers verify data integrity before archiving physical records.
Week 4: Go Live. Full EMR system launch with staff training and support.

Clinical Impact Study

Family Practice, Seattle

Challenge: 15,000+ paper charts taking up valuable office space and slow retrieval times.
Outcome: 100% digital conversion in 3 weeks, reducing chart retrieval time from 5 minutes to 5 seconds.

White-Label Digital Patient Experience

Extend your clinical brand reach with bespoke mobile and web applications, fully integrated into the Umami backend.

♡+

Your Clinic

Healthcare at your fingertips

👨‍⚕️
👤
● LIVE
🎤
📞
📹

My Prescriptions

Metformin
500mg • Twice daily
💊
Lisinopril
10mg • Once daily
💊
Aspirin
81mg • Once daily
💊

Fully Branded • Native iOS & Android • Custom Web Portals

Technical Overview

We provide a "Backend-as-a-Service" (BaaS) framework that allows for rapid deployment of branded patient portals. This includes native iOS and Android binaries submitted to respective App Stores under your organizational account.

Core Capabilities

  • Telemedicine Infrastructure: WebRTC-based secure video consultations embedded in your app.
  • Push Notification Server: Targeted health campaigns (e.g., Flu Shot reminders) sent directly to patient devices.
  • Custom Domain Hosting: Patient portals hosted at portal.yourclinic.com with SSL certification.

Implementation Timeline

Week 1: Requirements Workshop. Define brand colors, logos, and core app features.
Week 2-4: Development. Engineering team builds custom iOS and Android applications.
Week 5: App Store Submission. Submit apps to Apple App Store and Google Play Store.
Week 6: Launch. Apps go live with marketing support and patient onboarding.

Clinical Impact Study

Pediatric Clinic, Miami

Challenge: Low patient engagement and difficulty scheduling telehealth visits.
Outcome: 5,000+ app downloads in first month, 40% increase in telehealth utilization.

Workforce Management & HCM

Optimize clinical operations with a unified Human Capital Management suite tailored for shift-based medical environments.

Staff Scheduling Interface

Technical Overview

The module handles complex rostering constraints including licensure expiration tracking, overtime thresholds, and skill-mix requirements. Payroll processing is automated through direct time-clock integration, supporting various pay structures (salaried, hourly, per-diem).

Core Capabilities

  • Smart Rostering: Constraint-based scheduling to prevent coverage gaps and ensure provider-nurse ratios.
  • Credentialing Vault: Automated alerts for upcoming license, DEA, and malpractice insurance renewals.
  • Performance Review Cycle: 360-degree feedback tools integrated with productivity metrics (Patients Per Hour).

Implementation Timeline

Day 1: Profile Creation. Upload staff contracts and set role-based permissions.
Day 2: Roster Configuration. Define shift patterns, overtime policies, and coverage requirements.
Day 3: Payroll Integration. Connect attendance data to payroll processor for automated payments.
Day 7: Full Deployment. Staff onboarding complete with mobile app access for shift management.

Clinical Impact Study

Multi-Location Urgent Care, Dallas

Challenge: Manual scheduling across 8 locations causing frequent coverage gaps.
Outcome: Eliminated scheduling conflicts, reduced overtime costs by 25%, improved staff satisfaction scores.