Integrating Medical Transcription with EMR/EHR Software

September 10,2019 | 9:08 AM

In healthcare, as in any other industry, optimizing the underlying technology can improve patient care and revenue growth over time. Most providers depend on their assistants, medical records staff or scribes to update patient Electronic Medical Records (EMR)/Electronic Health Records (EHR). They face several challenges such as slower turnarounds, complex workflows and high incidence of documentation errors. Likewise, the barriers to entry for existing EMR/EHR solutions include cost and resource training for both healthcare professionals as well as small and medium enterprises.
Integrating medical transcription with an EMR/EHR software benefits the key healthcare stakeholders including healthcare providers, hospital networks and Medical Transcription Service Organizations (MTSOs). It improves the productivity and efficiency of healthcare professionals which results in higher Return on Investments (ROI).
Some of the features of such modern medical transcription applications and their corresponding advantages are discussed below.

AI-powered Speech Engine

Speech to text transcription powered by Artificial Intelligence (AI) supports advanced electronic medical records management. It's cost-effective and meets industry standard Turnaround Times (TATs) of clinical documentation with highest accuracy. Engines such as Nuance, MModal, Cognizyr, Watson, etc., are radically transforming clinical documentation with AI-powered speech recognition capabilities. They can automatically transcribe a provider's dictation notes in real-time. Likewise, CascadeMD can map the data to the relevant EHR fields based on the information drawn from the medical transcript.

Provider-friendly UI

Intuitive UI, customizable workflows and transactional pricing models help healthcare providers use medical transcription software on a mobile and/or desktop platform. It has low entry barriers and ensures 40% cost savings as compared to traditional transcription services. CascadeMD is a smart documentation interface to EMRs/EHRs equipped with an AI-powered inference engine to draw actionable insights from the patient EHR regarding various health conditions.


Hospital networks and MTSOs can leverage the rich narrative transcription notes using Natural Language Processing (NLP). CascadeMD streamlines different documentation processes to create a seamless workflow. Ideally, the workflow starts with capturing the audio input from the provider and streams that over to the speech recognition engine for AI-driven transcription and human review if needed. Finally, it ends with EHR Integration. For example, it's smart data capture feature can help healthcare providers to populate EHRs automatically from the transcribed text. It helps convert unstructured text to structured data with a short turnaround time.
Integrating transcription capabilities with an EHR through Advanced AI is a game-changing innovation in the healthcare industry. It's evident that people, data and processes cannot exist in silos in the modern healthcare system. They need to work in tandem with each other in order to deliver optimized healthcare services to patients.

Healthcare providers can save a lot of time, effort, and resources by subscribing to smart documentation apps like CascadeMD's mobile app which can be used on the go. When a provider dictates a patient's health information over the mobile app, CascadeMD's AI begins to work in the backend. It transcribes, draws valuable insights and finally, integrates patient data into EMR/EHR system with a short turnaround time. Eventually, it simplifies complex workflows and helps providers gather insights effortlessly.

CascadeMD Blog Author
Bala M