Tag: HealthCare

Customer

An independent U.S. healthcare services provider specializing in long-term medical plan management. The organization supports the full patient journey across multiple health stages and is led operationally by a Chief Medical Officer (CMO). Their strategic goal is to modernize care coordination and clinical decision-making through GenAI-powered multi-agent automation.

Business Objective

The client aimed to:

• Improve efficiency across the full patient healthcare lifecycle

• Reduce manual work during onboarding, plan creation, and plan management

• Build a CMO Co-Pilot to support clinical decision-making

• Enable GenAI-driven workflows for scheduling, communication, and notes

• Enhance patient experience in long-term care environments

• Create a scalable multi-agent framework that could evolve into a full clinical co-pilot

The goal was to establish a GenAI foundation for operational and strategic medical support.

Scope of Services

BXI Technologies partnered with the client to:

• Design and implement a multi-agent GenAI framework

• Create domain-specialized agents, trained using RAG on EHR and patient history data

• Automate end-to-end workflows across:

  • Patient onboarding

  • Plan mapping and validation

  • Appointment scheduling

  • Communication workflows

  • Notes generation

• Integrate GenAI agents with existing healthcare systems

• Build a scalable architecture to support the future CMO Co-Pilot vision

The result is a working GenAI automation layer that streamlines patient operations and supports clinical decision cycles.

Benefits

• Significantly faster patient onboarding and process turnaround

• Higher accuracy in patient plan creation and management

• More efficient appointment scheduling and operational coordination

• Improved productivity and support for the CMO through GenAI co-pilot functions

• Better utilization of clinical experts across the patient lifecycle

• A strong foundation to scale into a full CMO decision-support platform

Impact

• 99% faster patient onboarding

• 30% more efficient appointment scheduling and plan management

• Significant improvement in overall system efficiency and CMO utilization

Customer

Patient data summarization is critical for a healthcare organization responsible for managing large volumes of patient information, including transcriptions, diagnosis reports, and care workflows. Clinical teams rely on timely, accurate insights for decision-making while maintaining compliance with healthcare regulatory standards.

Business Objective

The customer aimed to:

• Summarize large, fragmented patient datasets efficiently

• Reduce manual effort spent analyzing transcriptions and medical reports

• Improve speed and accuracy of clinical decision-making

• Extract meaningful insights and recommendations from unstructured data

• Enhance patient outcomes through more informed, faster decisions

• Implement an AI-driven framework that supports clinical teams while maintaining compliance

Scope of Services

BXI Technologies partnered with the client to:

• Implement intelligent patient data summarization using advanced LLMs

• Automate extraction of key medical insights from transcriptions and diagnosis reports

• Build an AI-driven recommendation engine suggesting next steps in the care journey

• Ensure outputs maintain clinical relevance and meet regulatory accuracy standards

• Deliver structured, ready-to-use insights to physicians and care coordinators

Benefits

• Faster and more accurate interpretation of patient data

• Reduced manual review effort for clinicians

• Improved decision-making with AI-driven recommendations

• Clearer, summarized insights for stronger care coordination

• Better alignment to regulatory standards through structured outputs

• Higher-quality clinical outcomes with data-driven assistance

Impact

• 75% improvement in patient data insight quality

• 65% faster clinical decision-making

• 55% better clinical outcomes

 

Customer

Intelligent clinical documentation enabled the transformation of clinical productivity for an Indian healthcare provider managing high documentation workloads.

Business Objective

Reduce Documentation Burden:
Lower clinician documentation time per patient encounter to improve overall clinical productivity.

Enhance Provider Well-Being & Reduce Burnout:
Address high burnout levels (75%) by introducing AI-enabled tools that streamline administrative tasks.

Improve Quality of Care & Patient Experience:
Free up clinician time for patient interaction, improving satisfaction scores and clinical outcomes.

Scale Operational Efficiency Across Global Operations:
Deploy digital productivity solutions that reduce operational waste, enhance throughput, and scale across regions.

Enable Sustainable Growth:
Use productivity gains to support higher patient volumes, increase revenue per clinician, and expand value-added services.

Scope of Services

BXI Technologies partnered with the healthcare provider to implement an intelligent clinical documentation solution powered by advanced AI and workflow automation. The engagement focused on:

• Automating clinical note creation and documentation tasks

• Integrating AI-driven summarization into existing EMR workflows

• Supporting clinicians across 16 specialties

• Measuring impact on productivity, experience, and patient satisfaction

• Enabling scalable deployment and operational readiness across global locations

Benefits

• Productivity Gains: Reduced clinician documentation time and improved workflow efficiency.

• Enhanced Provider Experience: Significant reduction in burnout and administrative load.

• Financial Optimization: Increased capacity, improved provider throughput, and measurable cost savings.

• Higher Patient Satisfaction: More clinician–patient interaction time and improved experience metrics.

• Scalability & Future-Readiness: Foundation set for multi-specialty, multi-region expansion.

Impact

• 50% of employed clinicians across 16 specialties are now using the solution.

• The organization achieved the 50th percentile for documentation burden, reducing documentation time by 34 minutes per provider per day.

• 72% of clinicians reported increased enjoyment of practice.

• 79% reported improved documentation efficiency.

• 85% expressed a preference to continue using the intelligent documentation solution.

• Higher patient satisfaction observed among clinicians with ≥60% utilization.

• Estimated annual cost savings of $3 million driven by productivity improvements.

Customer

Healthcare process automation was critical for this leading U.S. healthcare services provider specializing in network-enabled care delivery and point-of-care mobile applications. The organization employs 6,000+ people and supports a nationwide network of 160,000+ providers serving 100M+ patients.

Business Objective

The customer needed to:

• Reduce turnaround time (TAT) for client-facing healthcare processes

• Improve work quality and minimize manual error rates

• Automate high-volume, repetitive transactions

• Scale operations efficiently across a large provider network

• Reduce operational cost dependency on manual work

• Integrate multiple systems to ensure seamless data and workflow continuity

The goal was to build a scalable, AI-driven automation layer supporting large-scale clinical and administrative operations.

Scope of Services

BXI Technologies partnered with the customer to:

• Deploy AI agentic agents to automate repetitive healthcare tasks

• Integrate workflows across six core enterprise systems

• Build and deploy automation across 16 end-to-end processes

• Implement 49 production bots to minimize manual intervention

• Standardize and streamline client-facing workflows

• Deliver a scalable automation framework supporting 1.32M+ annual transactions

This created a centralized digital operations model that reduced process cycle time and improved SLA performance.

Benefits

The transformation delivered:

• Significant reduction in turnaround time (TAT)

• Improved accuracy and consistency across healthcare workflows

• Enhanced operational efficiency with AI-driven agents

• Better utilization of workforce through FTE savings

• Streamlined workflows across six integrated systems

• Improved SLA adherence for client operations

• Automation at scale for multiple high-volume processes

Impact

• 1,320,000+ automated transactions annually
• 97,000+ FTE hours saved each year
• 6 systems integrated
• 49 production bots deployed
• 16 processes automated end-to-end

This resulted in faster client delivery, reduced operational cost, and improved healthcare process automation at scale.

Customer

Healthcare Digital Transformation for IT Efficiency became a priority for a leading US health provider after a major merger expanded its operations and increased demand on IT services. The health system needed a digital model aligned with care outcomes, not technology-first decisions.

Business Objective

The customer wanted to:

• Improve IT efficiency across a large, multi-entity health system

• Strengthen digital experience for clinicians and care providers

• Align technology investments to business goals and the care roadmap

• Support growth following a major merger and market expansion

• Modernize IT operations without disrupting active clinical workflows

• Enhance digital enablement for nurses and frontline care teams

• Build a foundation for scalable data, trust, governance, and security

Scope of Services

BXI partnered with the health system to:

Strategic IT Alignment

• Worked directly with business leaders to understand care roadmaps and goals

• Mapped technology investments to clinical and operational needs

• Shifted the model from “technology first” to “outcome and use-case first”

Digital Enablement for Clinical Staff

• Prioritized high-impact use cases in nursing workflows

• Implemented solutions to reduce friction in daily tasks

• Used third-party implementation vendor to measure caregiver experience and feedback

• Improved frontline digital tools to reduce effort and improve productivity

Efficiency and Governance Improvements

• Focus on data management, trust, and governance

• Built the foundations for digital scaling across the merged organization

• Established processes to support a larger portfolio of services

Benefits

• Better alignment between business goals and IT execution

• Digital solutions prioritized based on care impact, not technology trends

• Reduced friction in clinical workflows and nursing tasks

• Strong foundation for scaling digital services across merged entities

• Built reliable governance for data management and trust

• Improved caregiver experience measured through direct feedback

Impact

• 45 percent cost efficiency gained through improved data management, trust and governance

• 30 percent productivity gain through enhanced digital engagement for clinicians

• Improved digital experience for care teams using targeted implementation and feedback loops