AI-Powered Medical Documentation

CLIENT

NDA

INDUSTRY

Healthcare

SERVICE

Staff Augmentation / ML/AI

Overview

A U.S.-based telemedicine provider sought to enhance patient care quality and increase patient satisfaction by streamlining medical documentation and improving data accuracy. Physicians were spending excessive time on administrative tasks, reducing their ability to focus on patient consultations. Additionally, manual data entry led to inconsistencies, making it difficult to standardize and leverage medical records effectively. Partnering with Sphere, the provider implemented an AI-powered speech-to-text and automated medical summarization solution to boost efficiency, accuracy, and overall patient experience.

Challenge

The client encountered several critical challenges that threatened their project timelines and overall platform stability:

Excessive Administrative Burden on Physicians. Physicians spent more time on documenting consultations than actually engaging with patients, reducing productivity and increasing burnout.

Inconsistent and Low-Quality Data. Medical records were entered manually, leading to a lack of standardization and making it difficult to extract actionable insights.

Declining Patient Satisfaction. Patients felt that physicians were more focused on documentation than on personalized care, negatively impacting the Net Promoter Score (NPS).

Our Solution

Sphere developed a custom AI-driven medical documentation system for English-language telemedicine consultations, ensuring high accuracy, automation, and compliance with U.S. medical data standards.

  1. Speech-to-Text AI for Medical Consultations
    • Implemented an advanced Speech-to-Text solution optimized for medical terminology, allowing physicians to dictate consultations in real-time instead of manually entering notes.
    • Ensured high accuracy and adaptability to different accents and speaking styles in medical settings.

2. Automated Medical Data Structuring

    • Integrated medical entity recognition AI, which automatically detects and categorizes key clinical terms such as symptoms, diagnoses, and medications.
    • The system auto-populates structured medical records, eliminating errors from manual input and ensuring standardized, high-quality data.

3. AI-Powered Medical Consultation Summarization

    • Built a consultation summarization API using Azure OpenAI services to condense medical interviews while retaining critical patient information.
    • Allowed physicians to review automated summaries and make quick edits before finalizing documentation.

4. Seamless EHR Integration

    • Delivered a fully functional summarization API, enabling real-time documentation processing within the provider’s existing Electronic Health Records (EHR) system.
    • Ensured HIPAA compliance and seamless interoperability with other healthcare IT systems.

Key Achievements

Less Admin, More Patient Care

Reduced physician administrative workload, enabling doctors to spend more time on direct patient care rather than documentation.
Consistent and Accurate Medical Records

Improved data quality and standardization, ensuring structured, AI-powered medical records with minimal manual intervention.
Higher Satisfaction

Enhanced patient satisfaction, as consultations became more engaging and focused on the patient’s needs, leading to higher NPS scores.
Reduced Burnout

Increased operational efficiency, reducing physician burnout while ensuring better medical documentation accuracy and compliance.

Overall Result

By integrating AI-powered medical documentation, the U.S. telemedicine provider transformed patient interactions, enabling physicians to deliver higher-quality care while maintaining structured and accurate medical records. With speech recognition, AI-based summarization, and automated data population, the organization successfully improved efficiency, data integrity, and patient satisfaction.