Custom Vendor Landscape: Clinical Transcription Software

Author(s): Jehaan Nanavaty

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Custom Vendor Landscape

Clinical Transcription Software

Prepared for: [Client Name Redacted]

An Important Note

Understanding a Custom Vendor Landscape

  • Info-Tech’s Custom Vendor Landscapes are custom deliverables that are built with a heavy emphasis on the use cases and selection criteria of the requesting client. They are intended to provide an external point-of-view on a smaller or niche software marketspace. They are built over the course of one week based on secondary research by one of our Software Selection Services analysts.
  • These deliverables may be sanitized and published for convenient access by our other members; it is important to understand that they are not intended to be general market analysis reports like our SoftwareReviews Data Quadrants or Software Selection Guides.
  • This report is bespoke to the client that requested it and is not intended to be an omnibus view of the entire marketspace (these deliverables are limited to ten vendors, and the vendor shortlist is often dictated in full or in part by the requestor).
  • Please ensure that you are conducting your own due diligence on vendors within the space; the sanitized version of this report may be a helpful starting point for initial vendor shortlisting; the limitations of its scope and the highly custom nature of the vendor list and analysis contained within does not make it synonymous with the analysis in our omnibus market analysis research (SoftwareReviews Data Quadrants and Software Selection Guides).

Understanding the Selection Initiative

Objective

[Redacted] is seeking Clinical Transcription Software that can seamlessly integrate with their EHR system. The primary motivation behind this selection process is to identify new vendors that can offer accurate medical transcription capabilities, ultimately enhancing the efficiency and reliability of their healthcare documentation processes.

They seek a user-friendly platform with advanced machine learning and generative AI capabilities, encompassing speech recognition and dictation, comprehensive multiple language support, seamless integration with EPIC systems, robust analytics functionalities, and security features. Therefore, a thorough market analysis is essential to identify a customized vendor landscape capable of meeting specific criteria and ensuring due diligence in selecting the Clinical Transcription Software.

Vendor Selection Criteria

In evaluating the marketspace for Clinical Transcription Software, Info-Tech’s analysts looked at the following vendor attributes:

  • Breadth and depth of capabilities for Clinical Transcription Software
  • Vendor footprint (vendor market presence, vendor share of mind, vendor stability and long-term viability)
  • Focus on vertical-specific capabilities
  • Customization potential and ease-of-use
  • Affordability transparency

Selection Rigor Matters.
Enterprise software is a key driver of digital transformation - having a strong approach to vendor selection is essential. Info-Tech’s research shows that 70% of application selections fail because of poorly defined requirements and inadequate vendor validation.

Defining Clinical Transcription Software

Market Definition

Clinical Transcription Software aims to achieve two primary objectives:

  • Firstly, it aims to accurately transcribe spoken medical dictations into text format, ensuring the precision and completeness of patient records. This accurate transcription fosters comprehensive and reliable patient documentation, vital for clinical decision-making, care coordination, and regulatory compliance.
  • Secondly, clinical transcription software aims to streamline workflow processes and improve efficiency within healthcare settings. By optimizing workflow management, the software enhances productivity, reduces administrative burdens, and enables healthcare professionals to focus more on patient care.

Key Trends in Clinical Transcription Software

There is trend of moving to AI based solutions due to the high cost of hiring a dedicated transcriptionist. As AI solutions get better with word recognition, organizations aim to completely remove human interaction.

AI based transcription solutions can increase productivity by 20%
Source: Augmedix, 2023

US $2.27 Billion Estimated value of the Medical Transcription Software market. (2023)
Source: Fortune Business Insights

The Medical Transcription Software market will grow by 16.1% annually. (2022-2030)
Source: Fortune Business Insights

Top Level Features of Clinical Transcription Software

Feature Name

Description

Speech Recognition and Dictation

The ability to record and recognize human speech in multiple languages with strong accuracy.

Transcription

The ability to transcribe an audio file or live recording to text.

Integration Capabilities

Supports seamless integration with EPIC systems, ensuring smooth communication and data exchange between platforms.

Data Security and Compliance

Data in the database is encrypted upon entry, storage and retrieval, HIPAA compliant.

Reporting and Analytics

The ability to track, monitor and report about transcriptionist’s workload.

Machine Learning and AI capabilities

The ability to leverage AI to improve the language model to further improve speech recognition.

User-friendly Interface

The software should feature an intuitive user interface that enables users to interact with the system easily.

Training and Support

Robust training resources, user manuals, and technical support services assist users in mastering the software and troubleshooting any issues that may arise.

Multiple Language Support

The software should facilitate accurate and efficient transcriptions in multiple languages, catering to diverse patient populations and improving communication between healthcare professionals and patients.

Key Players

Info-Tech identified 6 platforms applicable to the use case. The platforms are listed in alphabetical order.

List of Key Players with logos: 'Augmedix', 'DeepScribe', 'Nuance DAX Copilot', 'Suki AI', 'Surgical Notes (SNChart).

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