Limitations of Artificial Intelligence in the Medical Transcription Industry.
Medical documentation is undeniably a part of the healthcare industry and it has witnessed numerous changes over the years. Along with it, the medical transcription and scribe services industry has evolved to accommodate the requirements and adapted to new technologies. The advent of artificial intelligence in the medical transcription industry marks the latest addition to technological innovation. While artificial intelligence is being experimented with because of the advantages it claims to have, it is not without any limitations.
- Artificial intelligence-powered transcription cannot fully avoid human intervention, as it is very much required to check the accuracy of the medical recording. This is a different set of burdens for the personnel involved in documentation.
- Physicians have to try and remember the conversations with the patients in order to correct any errors or omissions in the documentation which is not a very efficient method of documentation.
- The ability of AI to pick up vital information in a doctor-patient conversation is questionable. A conversation about the food taken for the day or workouts done by the patient may not be significant during a normal conversation but the same may be very important for a physician after a surgery.
- The risk of an increase in cyber-attacks and threats cannot be ignored since AI transcription leaves open more digital footprints. Hence tools are required to be put in place to avoid security breaches in patient privacy and theft of patient confidential information.
- AI transcription is not custom-made, so a lot of adaptations and fine-tuning are necessary according to the requirements of the physicians.
- AI-generated transcription should also take care to safeguard patient privacy and must be HIPAA compliant. Hence it must include tools to ensure the same.
- The time taken to correct the AI mistakes results in delays in insurance billing and claims.
- AI faces difficulties while adapting to certain fields of medicine since it requires more detailed medical terminologies and preciseness. This again requires human intervention to check accuracy.
These existing limitations in AI-generated medical transcription display a clear picture that human intervention cannot be done away with and go on to prove that whatever the technological innovation, the medical transcription industry can adapt and grow with it along with necessary human personnel.