• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • AI
    • Blockchain
    • Precision Medicine
    • Telehealth
    • Wearables
  • Life Sciences
  • Investments
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage

Case Study: EHR Voice Recognition vs. Laptop EHR Entry

by Fred Pennic 06/02/2014 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

A Day in the Life of a Nurse with VoiceFirst

Case Study: EHR Voice Recognition vs. Laptop EHR Entry

Learn how VoiceFirst’s EHR voice recognition solution promotes overall clinical efficiency by reducing documentation time, increasing time for direct patient care, streamlining workflows, and increasing clinician job satisfaction.

EHR voice overlay profoundly changes the way nurses and clinicians retrieve patient information and document care. Using intuitive voice commands and real-time audio feedback from the EHR, clinicians can increase efficiency, streamline workflows, and decrease documentation time to improve patient engagement.

Consider the typical day in the life of two nurses, Anita and Stacy. They are both IV nurses at 300 bed hospitals. The CIO at Anita’s hospital recently deployed hands-free voice recognition and documentation technology from VoiceFirst to all clinicians.

Stacy’s hospital doesn’t have any voice recognition system in place and still relies on typing into computers to enter patient information into the EHR. Even though charting is done on the computer at Stacy’s hospital, data entry is still a very time consuming process. In fact, she spends up to 33% of each workday on documentation, leaving less time to focus on providing patient care.

Download the complete case study below to learn more.

Meaningful Use Stage 2: Creating the Foundation for Population Health

 

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tap Native

Get in-depth healthcare technology analysis and commentary delivered straight to your email weekly

Reader Interactions

Primary Sidebar

Subscribe to HIT Consultant

Latest insightful articles delivered straight to your inbox weekly.

Submit a Tip or Pitch

2026 Predictions & Trends

Healthcare 2026 Forecast: Executives on AI Survival, Financial Reckoning, and the End of Point Solutions

2026 Healthcare Executive Predictions: Why the AI “Pilot Era” Is Officially Over

Most-Read

HHS Launches 'OneHHS' AI Strategy to Integrate AI Across CDC, CMS, and FDA for Efficiency and Public Trust

HHS Launches ‘OneHHS’ AI Strategy to Integrate AI Across CDC, CMS, and FDA for Efficiency and Public Trust

Kristen Hartsell, VP of Clinical Services, RedSail Technologies

The Pharmacy Closures Crisis: How Independent Pharmacies Are Fixing Pharmacy Deserts

From Overwhelmed to Optimized: How AI Agents Address Staffing Challenges and Burnout in Healthcare

From Overwhelmed to Optimized: How AI Agents Address Staffing Challenges and Burnout in Healthcare

The VBC Paradox: Why Hospitals Are Doubling Down on Value-Based Care While Revenue at Risk Lags

The VBC Paradox: Why Hospitals Are Doubling Down on Value-Based Care While Revenue at Risk Lags

Tebra Secures $250M to Challenge Legacy EHRs with AI-Powered Automation

Tebra Secures $250M to Challenge Legacy EHRs with AI-Powered Automation

AstraZeneca Selects Salesforce Agentforce Life Sciences to Deploy AI-Powered Global Customer Engagement

AstraZeneca Selects Salesforce Agentforce Life Sciences to Deploy AI-Powered Global Customer Engagement

Aidoc Partners with NVIDIA MONAI to Scale Open-Source Clinical AI

Aidoc Partners with NVIDIA MONAI to Scale Open-Source Clinical AI

RapidAI Secures FDA Clearance for Five New Deep Clinical AI Modules, Expanding Enterprise Imaging Platform

RapidAI and AWS Deepen Partnership to Scale Clinical AI in Healthcare

Greece and Sword Health to Build AI-Powered Healthcare Front Door

Greece and Sword Health to Build AI-Powered Healthcare Front Door

GE HealthCare Acquires Intelerad for $2.3B to Create Cloud-First, AI-Enabled Imaging Ecosystem

GE HealthCare Acquires Intelerad for $2.3B to Create Cloud-First, AI-Enabled Imaging Ecosystem

Secondary Sidebar

Footer

Company

  • About Us
  • Advertise with Us
  • Reprints and Permissions
  • Op-Ed Submission Guidelines
  • Contact
  • Subscribe

Editorial Coverage

  • Opinion
  • Health IT
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Population Health Management
    • Revenue Cycle Management
  • Digital Health
    • Artificial Intelligence
    • Blockchain Tech
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • Value-Based Care
    • Accountable Care
    • Medicare Advantage

Connect

Subscribe to HIT Consultant Media

Latest insightful articles delivered straight to your inbox weekly

Copyright © 2025. HIT Consultant Media. All Rights Reserved. Privacy Policy |