Optimize practice solvency with an automated, end-to-end financial ecosystem designed to
minimize claim rejections and accelerate days sales outstanding (DSO).
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.
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 AMConfirmed
Rajesh Kumar
Initial Consultation
📞 +91 98765 43210📋 New Patient
09:45 AM - 10:15 AMConfirmed
Priya Mehta
Routine Checkup
📞 +91 98123 45678🔄 Follow-up
10:30 AM - 11:00 AMPending
Amit Patel 🔔
Cardiac Consultation
📱 WhatsApp Booking⏳ Awaiting Confirmation
11:30 AM - 12:30 PMConfirmed
Sunita Reddy
Pre-Surgery Consultation
🏥 OT Prep Required📄 Reports Available
02:00 PM - 02:30 PMConfirmed
Mohammad Ali
Post-Surgery Follow-up
🔄 Week 2 Check✅ Recovery Good
03:00 PM - 03:45 PMUrgent
Emergency Slot
Reserved for Walk-ins
🚨 Available
04:00 PM - 04:30 PMConfirmed
Deepak Singh
ECG Review
📊 Test Results Ready🔄 Monthly Review
04:45 PM - 05:15 PMConfirmed
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.
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.
• 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.
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.
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.
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.
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.