Artificial Intelligence (AI) – based transcription has no doubt come a long way in the medical industry. AI transcription solutions intend to assist hospitals and other healthcare organizations through medical transcription in various forms. These include the transcription of speech into text for filling out and updating medical records of patients in EHR (Electronic Health Record) and EMR (Electronic Medical Record) databases. Presently, AI-based medical transcription has greatly helped doctors, physicians, nurses, and other healthcare workers in transcribing the notes of physicians.
‘According to experts, the market of medical transcription is estimated to reach about $4 billion by the year 2026.’
What is Medical Transcription?
Medical transcription refers to the process of transforming verbalized medical notes into texted health records. This medical transcription allows doctors and other healthcare professionals to outsource the medical note-taking process to a third-party, which enables them to mainly focus on patient care. These third-party providers can be AI-based transcription software or professional transcription services.
Medical transcription is being used in the healthcare industry in multiple ways such as physical documentation reports, patients’ history, discharge summaries, operative notes and consultation reports, etc. In addition to creating workplace efficiencies, AI-based medical transcription helps improve patient outcomes and provides enhanced engagement between medical professionals and patients.
AI technology is used by doctors to transcribe their speech into medical documents, like outpatient letters or directly into EHR. Many hospitals and healthcare companies are now investing huge sums of money in AI-based medical transcription enabling healthcare staff to transcribe the medical documents from audio and speech of doctors. With the help of NLP (Natural Language Processing) and ASR (Automatic Speech Recognition) applications, doctors can easily turn their voices into readable text. Not only this, but advanced AI technology also helps them in generating and formatting medical documents.
Benefits of using AI Transcription in the Medical Industry
· Better Patient Outcomes
Trust holds crucial importance between patients and their medical professionals. It is no doubt that doctors have to split their attention as well as the time between documenting and listening during their appointments with patients. AI-Powered Medical transcription enables doctors to directly record and transcribe conversation occurring during the appointment.
In other words, AI transcription helps them disconnect from their computers while being present with their patient. This ultimately establishes the trust between the patient and doctor while improving patients’ experience as doctors mainly focus on them and their condition, leading to improved patient outcomes.
· Greater Mobility
There are many cloud-based AI transcription applications that doctors can use on the go, from anywhere, at any time, leading to the more efficient use of their time. Immediately after a patient meeting, doctors can record their notes while the discussion is still fresh in their mind. This will encourage doctors and clinicians to treat more patients and spend less time making reports.
· Fewer Errors
To see major changes in the efficiency and quality of electronic health records, hospitals are implementing voice recognition technologies. Most medical errors are likely to occur during clinical delivery when a patient is referred to another physician. During this hand-over, if the information, thought process and behaviour are not properly transmitted, this can increase the chances of medical error.
Nonetheless, with AI – medical transcription, information is accurately transferred between the physicians. More interestingly, AI transcription software has the potential to learn from their mistakes. Therefore, the corrections made by the doctor while taking digital medical notes give feedback to the software’s algorithm, which ultimately improves the accuracy of future medical documentation.
· Protects Patient’s Privacy
Medical conditions are not to be disclose to any third party. While AI – medical transcription is transcribe through machine, there are no chance of disclosure to third party. Which means that assuming a computer isn’t hacked, those same records will be safe and standardized.
· Improved Decision-Making ability
Clinical information is readily available for doctor’s use through AI transcription, which helps save time and gives the doctor a thorough history of the patient allowing them to make more accurate medical decisions.
· Real-Time Savings
Instead of transcribing word by word, customised AI-based medical transcription enables doctors to document medical information in real-time with great accuracy. Besides, it is the feat of NLP (Natural Language Processing) that it can recognize even the nuances of speech and thereby removing the unrelated components like filler words, small talks from the conversation. With the help of medical transcription, doctors can easily review the medical notes of patients which saves them various hours a day they spend on writing, dictating, or editing documents.
Some Pitfalls of AI-based Medical Transcription
- This AI transcription technology is only as good as the data it has in it learning, indicating that big and newer health cases can be at risk due to inaccuracy.
- AI-based transcription has not yet been perfected and thereby requiring doctors to provide their medical expertise which, to some extent, throws the supposed efficiency of AI – medical transcription into question.
- Medical transcriptions powered by AI cannot override the benefits of human-generated medical case histories. For this, AI transcription software needs to implement new patient records for which it requires dynamic and adaptable algorithms. On the flip side, it still requires precision and time on the part of doctors to integrate new information.
Till date, AI is undoubtedly on the rise in the healthcare industry. AI transcription technology has been subject to the way it is being used. However, that technology is now capable of much more than simple speech to text data entry. And as a pre-emptive measure, a secondary entry method of typing by medical transcriptionist can also be used to enter information that might be medically specific or incomprehensible to a software.