PrescribeWrite: Enhancing Healthcare Access in Underserved Communities

Poorly written and illegible prescriptions have led to avoidable medical errors and unfortunate deaths, especially in low-income communities with inadequate healthcare resources. PrescribeWrite by DSN, leverages AI to solve this problem.

PrescribeWrite

PrescribeWrite is an AI-powered Optical Character Recognition (OCR) system developed by DSNai, to address medication errors through automated digitization of handwritten medical prescriptions in low-resourced health systems. 

Healthcare services and delivery remains a major challenge in underserved communities, with medical prescription as a critical aspect of patient care within the healthcare system. In many parts of emerging markets, medical diagnosis and prescription documentation are still not digitized. As a result, handwritten prescriptions by medical personnel continue to be prevalent, posing a significant risk of medication errors and incorrect medication usage due to varying and illegible handwriting. 

Low-resourced healthcare systems often suffer from a shortage of qualified medical personnel, leading to informal healthcare providers handling much of the drug dispensing. This practice increases the burden of medication errors due to illegible handwritten prescriptions. Thus, an automated digitization interface is necessary to translate all handwritten prescriptions into a digital format using an optical recognition system. 

By harnessing the power of Artificial Intelligence, PrecribeWrite has developed an optical character recognition (OCR) solution to facilitate the electronic conversion of scanned images of handwritten text into machine-encoded text on medical prescriptions. This significantly improves health delivery outcomes in low-income countries. 

PrescribeWrite is an AI-powered Optical Character Recognition (OCR) system designed to address medication errors through automated digitization of handwritten medical prescriptions in low-resourced health systems. 

Healthcare services and delivery remain major challenges in underserved communities, and medication prescription is a crucial aspect of patient care within the healthcare system. In many parts of emerging markets, medical diagnosis and prescription documentation are still not digitalized. As a result, handwritten prescriptions by medical personnel continue to be prevalent, posing a significant risk of medication errors and incorrect medication usage due to varying and illegible handwriting. 

Low-resourced healthcare systems often suffer from a shortage of qualified medical personnel, leading to informal healthcare providers handling much of the drug dispensing. This practice increases the burden of medication errors due to illegible handwritten prescriptions. Thus, an automated digitization interface is necessary to translate all handwritten prescriptions into a digital format using an optical recognition system. 

By harnessing the power of Artificial Intelligence, PrescribeWrite has developed an optical character recognition (OCR) solution to facilitate the electronic conversion of scanned images of handwritten text into machine-encoded text on medical prescriptions. This significantly improves health delivery outcomes in low-income countries. 

PrescribeWrite was recognized by UNESCO in 2021 as one of the IRCAI Global Top 100 AI products. Read more here: https://ircai.org/top100/entry/prescribewrite/

DSNai 1

Digitize handwritten prescriptions to improve medication services in low-resource communities

DSNai 2

Reduce the risk of wrong medications caused by faulty interpretation of prescriptions

DSNai 3

Works seamlessly online and offline, making it ideal for low-income communities

DSNai 4

Easy-to-use API that can be integrated into other medical applications

DSNai 1

Digitize handwritten prescriptions to improve medication services in low-resource communities

DSNai 2

Reduce the risk of wrong medications caused by faulty interpretation of prescriptions

DSNai 3

Works seamlessly online and offline, making it ideal for low-income communities

DSNai 4

Easy-to-use API that can be integrated into other medical applications