AI Medical transcription for EHR
In order to grow, we needed to solve labour intense tasks through digitalization, automation and smart technology.
Sweden’s population is growing and getting older every year that passes, and the need for care is increasing. This fact hits hard on healthcare and not least on the 15,000 medical secretaries that exist, where about 30 percent retire within five years. How will health care succeed in streamlining all necessary administration and at the same time managing the need for increased direct medical care?
Today, Conscriptor handles about 10% of Sweden’s health care documentation. The journal dictates are sent to their medical secretaries who will manually type the transcripts while listening, and then send them back to the clinic for approval.
Only 30% of a doctors’ time today is left to meeting patients, the rest is spent on administration. This is a pressing problem for healthcare and it will accelerate. We need to free up time for what should be the main focus area: the patients.
It’s a long journey that starts when a patient contacts a caregiver. It might be followed by meeting with doctor or nurse, which can lead to several steps in the form of examination, documented treatment, referral, certificates, prescriptions and possible more visits.
The documentation is used as an important daily support to make crucial decisions for the patient’s treatment, therefore the solutions must be as close to the front line of care as possible, ie with nurses and doctors.
From dictation to journal in 2 seconds.
The first step in relieving the administration was to convert the doctor’s dictation directly into a journal note that can be viewed instantly.
With the transcribed dictation we can analyze and understand the content. We can also capture diagnostic codes, as well as action codes. Voice interpretation is about getting a sound file that is translated into a text, but how should this text file get into the correct journal system, as clinics have a variety of systems?
To solve this, Inovia AI had to build a robotic-like operation that knew exactly where the information should be inserted, exactly what field and what independent record system.
There are other positive aspects besides simplifying the audio-to-text process. Inovia’s solution can now contribute to a simplified analysis and diagnosis of patients. – An example is a patient who is of a certain age, who seeks care for certain ailments. The doctor suspects incipient diabetes. With this information, we can directly link it to national guidelines and how to treat a person seeking diabetes for the first time. In this way we can deliver insights to the first line of care as one of several decision support. This is done without the need for healthcare professionals to document in a new way or in additional systems.
The technology being used is based on the entire healthcare sector and supports all existing processes. We believe that the quality and efficiency of healthcare can be significantly increased with this kind of solutions. One of all the reasons is that the computer does not do wrong in the same way as a human.
Would you like to know more?
Please contact us for more information on solutions with Speech recognition and transcription.