FAQ

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Who is CARE-E Ai? What is your technology solution?
CARE-E Ai is a leading provider of AI-driven clinical automation solutions for healthcare. Our flagship technology, CARE-E, is an EHR-integrated AI assistant that streamlines administrative workflows, reduces clinician burnout, and enhances operational efficiency. CARE-E automates manual tasks such as documentation and referrals, while enabling providers to focus on patient care while improving data accuracy and compliance.
CARE-E collaborates with a range of healthcare stakeholders, including providers, health plans, ACOs, and data aggregators, to optimize administrative workflows. Our AI-powered platform enhances efficiency in areas such as clinical documentation, clinical decision support, patient data analytics, order management, referral management, and coding. By integrating directly into EHR workflows, we ensure seamless automation of traditionally manual tasks.
Organizations using CARE-E typically see significant time savings, reduced administrative costs, improved coding accuracy, and higher provider satisfaction. By streamlining workflows, our AI assistant enhances both financial and operational efficiency.
Unlike traditional automation tools, CARE-E is designed specifically for healthcare, with deep EHR integration and AI-driven workflow automation. Our platform requires no complex IT setup and delivers real-time clinical and administrative support at the point of care.
CARE-E is designed for providers, health systems, ACOs, payers, and healthcare administrators looking to streamline workflows, improve data accuracy, and reduce administrative burdens.
CARE-E can integrate into legacy systems such as electronic health records (EHRs), electronic medical records (EMRs), digital health and telemedicine solutions.
Yes, while CARE-E Ai offers patient specific analytics, we currently do not offer population health analytics.
CARE-E automates time-consuming administrative tasks such as clinical documentation, prior authorizations, and referral management, allowing clinicians to focus on patient care. By reducing the burden of manual data entry, we improve efficiency and reduce stress.
Yes. CARE-E automates coding and billing tasks by analyzing clinical documentation and suggesting accurate codes in real time, reducing claim denials, identifying missed coding opportunities and improving revenue cycle efficiency.
How quickly could we implement this solution?
Once the BAA and other necessary paperwork is authorized, CARE-E can be implemented within hours, unlike traditional integrations. Our plug-and-play approach eliminates lengthy integration timelines, allowing organizations to benefit from automation almost immediately.
CARE-E Ai provides customer support weekdays (Monday-Friday) from 8am to 5pm EST, dedicated account managers, and continuous product updates to ensure optimal performance. Our team is available to assist with training, troubleshooting, and workflow optimization.
Yes. We provide comprehensive training, including live demos, onboarding sessions, and self-service resources to ensure your team maximizes the benefits of CARE-E. At an additional fee, we can do on-site training that would be defined in the Support Level Agreement (SLA).
Getting started is simple. Contact our team for a demo, and we will walk you through the implementation process, customize the solution for your needs, and deploy it within your EHR environment.
How Do Clinicians Experience CARE-E in Their Workflow?

The CARE-E user experience is designed to be seamless, intuitive, and non-intrusive, functioning as a smart, AI-powered co-pilot embedded within the clinician’s EHR interface. Users interact with CARE-E in the following ways:

  1. Embedded in the EHR Workflow
    • Appears as a side panel, overlay, or assistant window directly within the EHR—no switching between apps.
    • Can be expanded or collapsed as needed, staying available without disrupting the primary workflow.
  2. Conversational & Command-Based Interaction
    • Users type or dictate requests, like:
      • “Summarize the last three visits”
      • “Draft a SOAP note based on today’s encounter”
      • “What are the next best steps for this diagnosis?”
    • CARE-E responds instantly with structured, relevant information.
  3. Smart Documentation & Note-Taking
    • Auto-generates visit notes, summaries, and structured documentation.
    • Uses voice-to-text dictation with real-time formatting.
    • Allows users to review, edit, and approve before finalizing.
  4. Proactive Support & Context Awareness
    • CARE-E understands the patient’s history, specialty-specific workflows, and clinician preferences.
    • Provides context-aware recommendations, such as:
      • Highlighting key past encounters.
      • Suggesting diagnostic codes or treatment plans.
      • Surfacing relevant clinical guidelines.
  5. Task Automation & Assistance
    • Pre-fills forms, generates referrals, and drafts messages to patients or staff.
    • Automates coding and billing suggestions based on documentation.
    • Reduces clicks and manual data entry to streamline tasks.

Overall Experience

Using CARE-E feels like having an intelligent, efficient co-pilot that reduces administrative overhead, allowing clinicians to focus more on patient care and less on documentation.

Yes. Our AI-driven platform is highly adaptable and can be tailored to meet the specific needs of healthcare organizations. CARE-E Ai’s infrastructure enables the rapid deployment of custom automation solutions directly within existing EHR workflows, allowing customers to enhance their unique clinical and operational processes. To discuss your customization needs, contact us!
CARE-E Ai has the ability to seamlessly integrate into any certified EHR without requiring direct vendor partnerships. Our technology is designed to be flexible and scalable across diverse EHR environments, ensuring rapid deployment without disrupting existing workflows.
CARE-E uses API-based and overlay integrations to work seamlessly within existing EHR workflows. Our AI-powered automation eliminates the need for costly direct EHR integrations, enabling rapid deployment with minimal disruption to provider operations.
No. CARE-E is designed to integrate smoothly into your current IT environment without requiring significant infrastructure changes. Our cloud-based architecture ensures secure and scalable deployment with minimal IT lift.
CARE-E leverages Natural Language Processing (NLP), Large Language Models (LLMs), Machine Learning (ML), and Robotic Process Automation (RPA) to automate clinical and administrative workflows. Our AI continuously learns from interactions, improving accuracy and efficiency over time.
CARE-E is fully HIPAA-compliant and designed with enterprise-grade security. We use end-to-end encryption, multi-factor authentication, and continuous monitoring to protect sensitive patient and provider data.
What is Clinical Decision Support (CDS)?
A solution that provides real-time guidance to healthcare providers by analyzing data and offering evidence-based recommendations to improve patient care such as gaps in care, diagnostics, triage and treatment plans
A solution leveraging AI that enhances the accuracy, completeness, and clarity of medical records to improve patient care, coding, and reimbursement with visit notes, discharge summaries, orders and billing.

Technology that automates repetitive administrative tasks in healthcare using software bots, improving efficiency and reducing errors.

RPA can automate various repetitive tasks in healthcare, improving efficiency and reducing errors. Some examples include:

  • Patient Registration & Scheduling – Automating data entry from forms, verifying insurance, and scheduling appointments.
  • Claims Processing & Billing – Automating claims submission, tracking denials, and processing payments.
  • Prior Authorizations – Automating the approval process by extracting data from EHRs and submitting it to payers.
  • Medical Coding & Billing Compliance – Extracting clinical data to assign correct codes and ensure compliance.
  • Patient Reminders & Follow-ups – Sending automated appointment reminders, prescription refill alerts, and post-visit follow-ups.
  • Lab & Test Results Processing – Automating results retrieval, notification, and integration into EHRs.
  • Supply Chain Management – Monitoring inventory levels, placing orders, and tracking shipments.
  • Regulatory Compliance & Reporting – Automating data collection for audits, quality reporting, and compliance submissions.
  • Revenue Cycle Management – Automating charge capture, payment posting, and financial reconciliation.
  • Employee Onboarding & Credentialing – Automating verification of credentials, training compliance, and document management.

Omni-channel engagement refers to a seamless and integrated approach to customer or patient interactions across multiple communication channels. It ensures a consistent experience, whether the interaction happens through a website, mobile app, email, SMS, iVR, social media, in-person visits, or call centers.

For healthcare, omni-channel engagement means that patients, providers, and care teams can communicate effortlessly across various platforms, ensuring continuity of care, improved accessibility, and a better overall experience. It also enhances adherence from patients by communicating with them with their preferred methods. It enables:

  • Personalized Interactions – Tailored communication based on patient preferences and history.
  • Real-Time Connectivity – Instant messaging, video calls, and automated reminders across devices.
  • Interoperability – Seamless integration between EHRs, telemedicine, and patient portals.
  • Consistency – A unified experience across all touchpoints, ensuring patients receive the same information no matter where they engage.
How can I select the ideal AI-powered clinical automation solution for my business?

Selecting the right AI-driven automation solution involves several key steps:

  1. Assess your needs: Identify administrative pain points and workflow inefficiencies.
  2. Evaluate your budget: Consider both upfront investment and long-term ROI.
  3. Research available options: Compare leading solutions, read reviews, and attend healthcare IT events.
  4. Check for interoperability: Ensure seamless integration with your EHR and existing systems.
  5. Prioritize ease of use: Look for intuitive, clinician-friendly interfaces.
  6. Verify compliance and security: Ensure HIPAA compliance and robust data protection measures.
  7. Assess vendor support and reliability: Evaluate customer service and financial stability.
  8. Consider customization options: Determine whether the solution can be tailored to your needs.
  9. Evaluate reporting and analytics: Ensure access to meaningful insights for decision-making.
  10. Request demos and trials: Test the solution in a real-world setting before full deployment.
  11. Seek references: Speak with existing customers to understand their experience.
  12. Plan for implementation: Ensure proper vendor support and resource allocation for a smooth rollout.
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