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AI Solutions for Healthcare

AI saves the healthcare industry $360 billion yearly by automating routine tasks and improving efficiency.

Achieve shorter wait times, lower costs, and better patient experiences with Anglara’s AI Solutions for Healthcare. We automate high‑volume admin work like scheduling, intake, authorizations, and documentation so your clinicians can focus on care.

Moving Beyond Consumer Hype to Enterprise Value

While consumer-facing AI applications capture headlines, enterprise healthcare AI delivers measurable business impact.

Ambient AI Scribes

Ambient AI scribes save physicians about one hour per day at the keyboard, shifting time from documentation to patient care.

AI-Powered Clinical Communication

AI triage for communications scans inboxes, flags priority items, and reduces the time clinicians spend managing emails.

Enterprise AI for Healthcare Operations

Enterprise AI reduces clinicians’ burden by automating admin tasks, enhancing clinical decisions with real-time insights, and optimizing operations with predictive analytics.

Seamless EHR & Workflow Integration

Our AI solutions for Healthcare plug directly into existing EHR and hospital workflows, minimizing disruption while maximizing measurable value.

Core Use Cases of AI in Healthcare Organizations

AI delivers value where healthcare feels the most strain: paperwork, decision fatigue, capacity bottlenecks, and one‑size‑fits‑all care. From automating routine work to surfacing real-time clinical intelligence and predicting demand & deterioration, we have an AI solution to ease all your healthcare challenges.

Automating Administrative Workflows

Automating Administrative Workflows

  • Stop burning clinician hours on paperwork.
  • AI automates scheduling, prior authorization checks, intake, billing, and compliance reporting, cutting processing time and errors while preserving full audit trails.
  • P.S. It plugs directly into existing EHR and practice systems, so staff shift from forms to patients without disrupting current workflows.

Start a 4‑Week Pilot for Predictive Care

Test predictive care for 4 weeks to detect risks early and personalize treatment for better outcomes.

Overcoming Barriers to AI Adoption in Healthcare

The challenge isn’t “Can AI do it?” It’s “Will it be safe, seamless, and worth it?” Our solutions always address common challenges to AI adoption in Healthcare.

Data Security and Compliance Challenges

Data Security and Compliance Challenges

Protecting PHI is non‑negotiable. Our enterprise deployments enforce:

  • End‑to‑end encryption.
  • Role‑based access.
  • Audit logs.
  • Data minimization.
  • Retention controls aligned to HIPAA.
  • GDPR consent and anonymization requirements.

We follow privacy‑by‑design, mapping data flows, limiting scope to least privilege, and documenting controls so compliance, security, and clinical leaders can sign off confidently.

Integration with Legacy Systems

Integration with Legacy Systems

We know that most hospitals run multiple EHRs, imaging archives, and practice tools. To minimize disruption, we integrate AI through standards and patterns teams already trust: 

  • FHIR/HL7 interfaces
  • Secure APIs
  • SSO/SCIM for identity
  • Embedded apps or side‑panel experiences inside the EHR. 

We use a phased rollout by piloting one workflow, validating outcomes, and then expanding. We involve clinicians early so the AI fits real practice, not just architecture diagrams.

Cost and ROI Concerns

Cost and ROI Concerns

Treat AI as a strategic investment, not an experiment.

We help you start with use cases that unlock immediate value, such as scheduling, prior auth, documentation support, triage and set clear baselines for time saved, throughput, and error reduction. 

Aim for a 3–6 month pilot that demonstrates hard savings and capacity gains, then scale in waves. Our approach de‑risks spend, accelerates payback, and builds executive confidence to expand across service lines.

Start A Pilot Without Rewiring Your Stack

Launch a seamless pilot that works with your existing stack—no rewiring needed.

How AI Drives Competitive Advantage for Healthcare Organization

AI helps medical facilities do more with less. It lets your teams spend more time on care and less on admin, delivering measurable efficiency gains within the first year.

Scaling Operations Without Scaling Headcount

Scale patient volume without expanding payroll by automating up to a third of routine interactions and back‑office tasks.

Share the burden of seasonal spikes, and standardizes workflows so teams move faster with fewer handoffs.

The payoff: 

  • More appointments kept.
  • Fewer bottlenecks.
  • Consistent quality at the system scale.

Building Resilience Against Workforce Shortages

Turn burnout risk into workforce resilience by offloading documentation, inbox triage, scheduling, prior auth, and repetitive follow‑ups.

Clinicians work at the top of their license, and teams reclaim meaningful time for care.

Achieve: 

  • Higher job satisfaction.
  • Lower turnover costs.
  • A steadier staffing baseline when hiring lags.

Gaining Strategic Insights from Data

Upgrade decisions from hindsight to foresight. AI transforms fragmented data into clear action:

  • Predict admissions and no‑shows.
  • Spot care gaps.
  • Optimize staffing and bed flow.
  • Monitor quality metrics in real time.

Opportunity for your team: Move from firefighting to proactive management, improving outcomes and operating margins.

Let Us Help Your Staff

Anglara’s Role in Enabling Healthcare AI

Tailored AI Solutions for Enterprise Needs

We design healthcare AI around specific operational goals and existing EHR/IT stacks, so deployments hit clear ROI targets without disrupting clinical workflows.

Secure, Compliant, and Scalable Deployments

Our solutions have end‑to‑end encryption, role‑based access, audit logging, and continuous monitoring aligned to HIPAA/GDPR for safe, scalable rollouts that pass compliance reviews.

Supporting Healthcare Leaders from Strategy to Execution

Domain experts, AI engineers, and compliance specialists co‑create roadmaps, de‑risk pilots, and drive measurable results from planning through post‑go‑live.

Develop A Healthcare AI Solution

Custom AI Development Process We Follow

Step 1
Business and Data Analysis

Business and Data Analysis

Dive into your goals, challenges, and data environment and ensure your data is AI-ready.

Step 2
Solution Design and Prototyping

Solution Design and Prototyping

Translate your use cases into actionable AI concepts, with UX-aligned prototypes, integration plans, and risk assessments.

Step 3
Model Training and Testing

Model Training and Testing

Build and refine AI models using your data and rigorously test for accuracy, safety, and real-world reliability.

Step 4
Integration and Deployment

Integration and Deployment

From APIs to UI hooks, integrate your AI into live environments, ensuring seamless function within your existing systems.

Step 5
Post-launch Monitoring and Optimization

Post-launch Monitoring and Optimization

Monitor performance, retrain with new data, and fine-tune the model to improve outcomes as your business evolves.

CEO

CEO Journey

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Started in 2013 as a self-taught developer, now leading a 20+ member team.

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Built long-term partnerships with US brands like Convoso.

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Empowered 100+ businesses — from local SMBs to funded startups and US enterprises.

Anglara Partner with Google Communities

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Trusted by Enterprises Across World

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