October 25, 2019 | 04.00 PM EDT
Clinical documentation supports the healthcare ecosystem to function effortlessly. It facilitates the exchange of health data between the providers, payers, and patients. The advent of artificial intelligence (AI) has helped medical transcription to evolve into clinical documentation. Initially, medical transcriptionists operated as data entry operators to connect the providers with the Electronic Health Records (EHR) system. However, the scale and scope of new and existing healthcare data are now augmented by AI-driven clinical documentation applications. .
Clinical documentation applications help centralize patient data and promote patient care over the long-term. They streamline a complex healthcare workflow that involves providers, healthcare institutions and Medical Transcription Service Organizations (MTSOs). For instance, CascadeMD is an AI-driven clinical documentation app that leverages speech recognition engine to deliver real-time transcription. Its inference engine converts unstructured text into structured data and updates them to the existing EHR systems in healthcare institutions. .
The Artificial Intelligence transformation is inevitable to the field of clinical documentation and helps democratize it. AI-driven clinical documentation apps facilitate HIPAA-compliant medical transcription with higher accuracy and quick turnaround at a competitive cost for MTSOs who are willing to adopt to the futuristic technology. Furthermore, a speech engine transcribes the provider’s dictation while an inference engine converts unstructured text into structured data to update the EHR, automatically. They improve the accessibility of advanced features and functionalities for small and medium-sized MTSOs. AI is now not only reserved for industry leaders but also made accessible to small and medium-sized MTSOs.
AI-driven clinical documentation allows organizations that provide medical transcription services to deliver value-added services. For example, clinical documentation apps built on AI platforms support several medical transcriptionists to review and edit different snippets of the same transcript, simultaneously. MTSOs can save time and optimize available resources by monitoring and evaluating medical transcriptionists in real-time. It provides additional revenue opportunities for MTSOs through a host of value-added services apart from medical transcription. Adding to it, the medical transcriptionists can focus on ensuring quality adherence in line with the industry standards rather than spending time on transcription. They can train AI to transcribe accurately and provide valuable inferences from patient data.
MTSOs are often faced with challenges related to the increased cost of technology. Professional medical associations and governments make it mandatory for medical transcription service providers to adhere to strict regulatory framework. As a result, they need to constantly update and upgrade their tools and technologies based on the latest digital transformation prevalent across the healthcare industry. AI-driven clinical documentation apps can help cut down their current overheads resulting from spending on advanced technology upgrades. They support the seamless integration of data flow between different healthcare stakeholders including healthcare providers, healthcare institutions, MTSOs and EHR providers. Similiarly, CascadeMD's Dictate App connects the providers with the medical transcriptionists and MTSOs. AI-driven clinical documentation surpasses traditional medical transcription services and promotes the exchange of patient data across the healthcare ecosystem, safely and securely.
AI-powered clinical documentation is a game-changing innovation for Medical Transcriptionists Service Organizations. Currently, a transcriptionist can review and edit the transcript that is initially transcribed by its speech engine. When AI grows smarter over time owing to the training data provided by the MTSOs, the role of the transcriptionists will move from proofreading transcripts to monitoring treatment recommendations. Artificial Intelligence (AI) offers Medical Transcription Service Organizations a competitive edge to stand apart from the crowd.