Everyone in a non-medical profession has trouble reading a doctor’s handwriting in a prescription. Prescriptions are quickly written by doctors, making it very challenging for patients to understand them. Many tech companies have looked for a solution, but they haven’t had much luck.
The technological behemoth Google has taken on the issue of interpreting complex texts. To increase the volume of medical records, Google will use AI models to interpret doctors’ handwritten prescriptions. This will speed up the digitization of medical records and make it easier for scientists to comprehend handwritten documents. On December 19, 2022, Google presented this concept during their annual conference in India.
Google has already begun collaborating with pharmacists as part of the initial strategy. The project is now in the prototype phase, and it will take some time before the functionality is made available to the public. In the future, Google Lens will include this feature. The user merely needs to utilise Google Lens to take a picture of the prescription, and the trained AI model will begin reading the text right away while keeping the medical information exclusively in focus.
Assistive technology for digitising handwritten medical records will focus on improving the humans involved in the process, such as pharmacists. However, no choice should be made only on the basis of the output this feature generates.
Every year, Google hosts an event for its South Asian market where it showcases all the most recent advancements that will benefit South Asian users. Google’s biggest market is India, and it plans to create a single model that will incorporate text in around 100 Indian dialects. The primary purpose of this model has not been disclosed, however it will assist in digitising medical records and has numerous other applications. Google announced a research prototype at the conference but has not committed to launching this feature.
Medical experts can read prescriptions with ease, but individuals who buy drugs from pharmacies face a challenge. If the assistive model can link prescriptions with purchased meds, it will be very helpful to many people. The digitization of medical records would also be a fantastic step because India’s current situation with digital medical records is quite critical and a remedy is required.
Google may have started on a challenging task, but with the help of its greatest minds, it will eventually find a solution that will aid in understanding prescriptions in some way.
