Smart Health Records
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Maintaining up-to-date health records every day is exhausting as well as time-consuming. Handwritten recognition technology are used for documentation of prescriptions and other health information.
Mmachine learning technologies cana be used to enhance the management of health information and health information exchange. The goal is to facilitate access to clinical data, modernize the workflow in the company, and improve the accuracy of health information.Many places Smart charts are utilized to identify and extract health data from various medical records to aggregate a patient’s medical history into one digital profile.
Benefits for the company
While technology has eased the process of data entry, there are still some processes that take up a lot of time. Maintaining up-to-date health records every day is exhausting as well as time-consuming.Maintaing patien’s electronic health record flags information that may not have been considered and increasingly helps in diagnosis support.
Feasability
High
Type of expertise/ AI domain
Google’s Cloud Vision API, MATLAB’s ML – based handwriting recognition technology
Internal data required
Patient’s Records, Disease – symptom universal correlation data
Equipping medical professionals with the technology and processes that ensure AI efforts are collaborative and explainable, which, in turn, gives rise to potential for improving patient outcomes