Skip to content
MarketScale
‹ Back to IndustriesHealthcare

Why Investing in EHR Solutions Featuring Speech Recognition is Beneficial For Providers

The healthcare industry is constantly in search of new software and EHR solutions to increase patient care and minimize the amount of time clinicians spend on these clerical tasks, promoting better outcomes. According to the American Medical Association, about 44% of physicians experience burnout in their practice, and part of that is attributed to administrative…

This story was produced through MarketScale. See how Healthcare teams put it to work with Executive Thought Leadership.

Share
Why Investing in EHR Solutions Featuring Speech Recognition is Beneficial For Providers

The healthcare industry is constantly in search of new software and EHR solutions to increase patient care and minimize the amount of time clinicians spend on these clerical tasks, promoting better outcomes.

According to the American Medical Association, about 44% of physicians experience burnout in their practice, and part of that is attributed to administrative duties and data entry. In order to help combat this burnout, we’re going to explore the wide variety of benefits speech recognition can provide.

Today, voice recognition is a critical technology within electronic health record (EHR) solutions. Voice recognition can save critical time and money to further help improve productivity.

The Benefits of Investing in Speech Recognition

EHR speech recognition allows physicians to capture notes at the time of care or in between appointments, which can maximize efficiency.

There are many benefits to investing in EHR speech recognition, including:

  • Reduced Overhead Costs
    The average physician can save anywhere between $30,000-$50,000 a year by eliminating transcription services and using EHR voice dictation.
  • Faster Turnaround Times
    Less time spent on patient documentation means more time spent face-to-face with patients.
  • Reduced Manual Labor and Data Entry
    EHR voice dictation provides quicker outputs and minimizes stress.
  • Improved Accuracy
    EHR speech recognition produces higher quality documentation and gets better with time.
  • Better Overall Communication
    The enhanced technology allows for better communication with referring physicians and insurance companies, which leads to higher reimbursement rates.
  • Increased Clinician Satisfaction
    The reduced workload has led to an overall positive experience with caregivers.

EHR solutions that are paired with voice recognition technology eliminate the need for dictation and transcription services altogether. Using artificial intelligence, voice recognition technology is programmed to receive command-based responses from physicians about patient symptoms, procedures and treatment plans.

The software is then able to process and capture documentation narratives, including medical terminology and medications, as well as detect various accents and dialects to deliver automated outputs into specific data fields.

With conventional EHR solutions that don’t utilize voice recognition, physicians can spend, in some cases, up to 12 minutes navigating the system and manually entering data to process notes for one patient.

With voice dictation, that time gets significantly reduced to 90 seconds or less, because it’s easier to use and requires less error-management.

Case Studies Highlight Real-World Performance

A recent KLAS Performance Report gathered feedback from customers of three speech recognition providers.

Overall findings showed that customers were highly satisfied, noting “positive usability, engaged support, price, integration, and functionality.”

To learn more about how ChartLogic’s EHR solution can serve your operation, contact them today.

Healthcare: are you visible to AI?

Before they reach out, Healthcare buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Healthcare Insights

Healthcare AI deployments stall on data quality, not model performance

Healthcare AI deployments stall on data quality, not model performance

Healthcare AI deployments are facing challenges not with the AI models themselves, but with the data quality. Hospital CIOs report difficulties in scaling AI due to fragmented and poorly governed data. This highlights the need for better data management and governance in healthcare AI initiatives.

  • 01Data quality is a major obstacle in scaling healthcare AI deployments.
  • 02Hospital CIOs are encountering issues with fragmented data governance.
  • 03AI model performance is not the primary challenge in these initiatives.

Jul 11, 2026

NHS commits £10bn to health tech, with ambient voice and pathology digitization at the center

NHS commits £10bn to health tech, with ambient voice and pathology digitization at the center

NHS England is investing £10bn in health technology, focusing on ambient voice technology and pathology digitization. This initiative aims to improve healthcare efficiency and patient outcomes. The commitment includes integrating advanced technologies into existing healthcare systems.

  • 01NHS England commits £10bn to health tech.
  • 02Focus areas include ambient voice technology and pathology digitization.
  • 03The initiative aims to enhance healthcare efficiency and patient care.

Jul 9, 2026

Canada launches Vital, a national hospital data platform backed by $210 million, starting with 160 hospitals

Canada launches Vital, a national hospital data platform backed by $210 million, starting with 160 hospitals

Canada has introduced a national hospital data platform named Vital, which will initially connect real-time data from 160 hospitals across three provinces. The initiative is supported by $210 million in funding, with coordination provided by Unity Health Toronto. This platform aims to enhance healthcare data integration and accessibility across the country.

  • 01Vital platform will connect 160 hospitals across three Canadian provinces.
  • 02The initiative is supported by $210 million in funding.
  • 03Unity Health Toronto is coordinating the implementation of this platform.

Jul 8, 2026

Explore More Healthcare Insights

Read more expert perspectives from across Healthcare.

Browse Healthcare Hub