ERP for Healthcare Companies
Centralised finance, procurement, supply chain, HR, and compliance—extendable with AI-native EHR and revenue-cycle automation (eligibility, coding support, denials, forecasting) for provider networks.
Book a DemoIndustry Challenges
Common pain points that drive Healthcare Companies toward ERP adoption.
Supply Chain Fragility
Critical medical supply stockouts and expiry-driven wastage due to disconnected inventory systems.
Budget Overruns
Lack of real-time spend visibility across departments and facilities makes cost control reactive rather than proactive.
Compliance Complexity
HIPAA, NABH, and JCI requirements demand documented processes, access controls, and auditable records.
Workforce Coordination
Shift scheduling, credentialing, and staff allocation across multiple facilities without centralised HR workflows.
Your ERP Solution
How Baaz configures ERP to address healthcare companies needs.
Medical Supply Chain Management
Expiry-aware inventory, automated reorder points, and lot traceability from vendor to point of care.
Department-Level Budgeting
Budget allocation, commitment tracking, and variance alerts by department, facility, and cost centre.
Compliance Workflow Engine
Pre-configured compliance checklists, access control policies, and document lifecycle management.
Workforce & Credential Management
Centralised staff records, credential expiry alerts, shift scheduling, and multi-facility assignments.
Differentiation
AI-native EHR & revenue cycle
Where ERP meets the clinical and billing front line: intelligent features that remove repetitive data entry, surface denial risk before submission, and explain patient responsibility in plain language—always with clinician or biller confirmation where regulations require it.
Daily workflow automation
AI insurance card scan
Patient or front desk photographs the card; OCR plus structured extraction fills payer name, member ID, group, plan type, copays, and effective dates. Staff confirm in seconds, then eligibility can run automatically—replacing five minutes of error-prone typing.
AI-suggested coding from clinical notes
As physicians document encounters, the system proposes likely ICD-10 and CPT codes with confidence scores. One tap to accept or adjust—reducing under-coding drift and query volume while keeping the provider in control.
Smart denial prediction
Before a claim goes out, models flag probable denial drivers from historical payer behaviour—missing modifiers, code pairs, prior auth gaps—with concrete fixes (for example: “Aetna: add modifier 25 when billing 99214 with this add-on”).
AI patient cost estimator
After eligibility (e.g. 271 responses), rules combine fee schedules and planned procedures to estimate out-of-pocket cost and generate a patient-friendly explanation—supporting transparency and No Surprises Act-style expectations.
AI-prioritised A/R work queue
Open balances are ranked by dollar at risk, filing deadlines, likelihood of collection, and typical payer response times—each line gets a recommended next action so billers attack the highest-impact work first.
AI claim scrubbing before submission
Pre-837 checks catch missing fields, invalid combinations, outdated codes, modifier conflicts, missing authorisations, and duplicate claims—mixing deterministic edits (CCI, age/gender) with model-assisted edge cases.
Strategic intelligence layer
Turns billing from reactive clean-up into proactive revenue optimisation—patterns no single practice sees alone.
Denial pattern intelligence
Continuous analysis of denial history surfaces systemic payer quirks and auto-generates “cheat sheets” per payer—alerting teams before the same mistake repeats and cutting re-bill cycles.
Ambient pre-authorisation intelligence
When a superbill includes certain CPTs, the system infers whether prior auth is likely required, lists documentation payers usually want, and drafts a first-pass auth request from the clinical note—learning which language speeds approvals.
AI call prep for denial follow-up
Before a biller phones the payer, they get a brief: talking points, appeal phrasing that has worked for this denial reason, department routing, expected hold times, and documents to have ready—capturing expertise that usually walks out with senior staff.
Patient payment propensity scoring
Scores likelihood to pay by history, balance, plan type, and context—recommending whether to collect at check-in, text a statement, offer a plan, or flag financial counselling—reducing bad debt and redundant dunning.
Revenue forecasting & cash-flow prediction
30/60/90-day outlooks with confidence bands from pipeline claims, historical adjudication speeds, denial rates, and seasonality—flagging revenue at risk before it becomes a write-off so leaders can staff and plan with CFO-grade visibility.
From assistance → prediction → decision support
AI capabilities are staged by autonomy: start with assistive tasks (capture and coding help), add prediction (denials, payments, cash), then support higher-judgement workflows (auth drafting, appeal calls, queue ranking).
Assistive AI
- Insurance card capture & field mapping
- ICD/CPT suggestions from notes
- Pre-submission claim scrubbing
- Patient responsibility estimates & explanations
Predictive AI
- Denial likelihood & pattern intelligence
- Payment propensity scoring
- Revenue & cash-flow forecasting
Autonomous decision support
- Prior auth drafting from clinical context
- Appeal call briefs and payer-specific guidance
- A/R queue prioritisation & recommended actions
- Cross-tenant alerts as models improve
The learning flywheel
Unlike static rule engines, the platform tightens with volume: more claims improve denial prediction and payer fingerprints; more appeals sharpen call-prep language; more payments refine collection recommendations; more forecasts narrow confidence bands. New sites benefit from accumulated network intelligence while retaining appropriate data boundaries and governance.
Key Modules
Core ERP modules configured for healthcare companies.
Procurement & Supply Chain
Vendor management, PO automation, medical supply tracking
Finance & Budgeting
GL, AP/AR, department budgets, revenue cycle support
Inventory Management
Lot tracking, expiry management, auto-replenishment
HR & Workforce
Credentialing, shift rosters, payroll, training records
Compliance & Quality
Accreditation tracking, audit management, incident reporting
Asset Management
Medical equipment tracking, maintenance schedules, depreciation
Benefits & ROI
35% Reduction in Supply Wastage
Expiry-aware tracking and demand-based ordering eliminate overstocking and obsolescence.
Accreditation-Ready Operations
Documented processes and audit trails built into daily workflows for NABH/JCI readiness.
Real-Time Budget Visibility
Department-level dashboards show committed, actual, and forecasted spend in real time.
Improved Staff Utilisation
Centralised scheduling and credential tracking ensure right-staffing across facilities.
Use Cases & Workflows
Medical Procurement Cycle
Department request → approval → PO with vendor compliance check → GRN with lot capture → invoice processing with 3-way match.
Credential & License Management
Automated tracking of clinician licenses with expiry alerts, renewal workflows, and compliance dashboards.
Multi-Facility Inventory Balancing
Cross-facility stock visibility with automated inter-facility transfer requests when thresholds are breached.
Case study
React Native client: scheduling, prescriptions, lab and pharmacy, documents, and push—how we shipped a coherent patient journey on one codebase.
Patient engagement app (case study)