Use of Artificial Intelligence has brought revolution in the field of medical science with its amazing application towards making Electronic Health Records more intelligent and flexible.
Electronic Health Records the digital format of patient’s complete medical details on paper are considered to be the basic necessity of medical science and health infrastructure.
Our world has been rapidly transformed by digital technology and the medical health care infrastructure is one of the most prominent areas where there are immense possibilities of its application.
However, due to Electronic Health Records the information is available whenever and wherever and the ability to exchange health information electronically can help in providing higher quality and safer care for patients and also create tangible enhancements for organization.
Electronic Health Records help providers manage and provide better health care due to: accurate, up-to-date, and complete information about patients, coordinated, efficient care, sharing electronic information with patients and other clinicians, helping providers more effectively diagnose patients, reduce medical errors, and provide safer care, improving patient and provider interaction and communication, health care convenience, more reliable prescribing, promote legible, complete documentation, privacy and security of patient’s data, helping and enabling providers improve productivity, efficiency and meet their business goals and of course reducing costs through decreased paperwork, reduced duplication of testing.
Despite all the benefits the Electronic health record systems for large, integrated healthcare delivery networks are massive, inflexible, difficult to use and costly to configure. So the challenge of making Electronic Health Record Systems help rather than hinder clinicians is increasing. Clinicians’ knowledge extends far beyond their clinical domain — care procedure knowledge, patient context knowledge, administrative process knowledge — and it’s rare that EHRs can capture all of it efficiently or make it easily available. So many options were used but finally the use of Artificial Intelligence to design Electronic Health Record Systems proved to be a turning point. The capabilities of Artificial Intelligence used are: Data extraction from free text, Diagnostic and/or predictive algorithms, Clinical documentation and data entry, Clinical decision support.
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AAIway strides to innovate and produce the best possible solution for the society.
AAIwayprinciple purpose of Artificial Intelligence presently in Electronic Health Record Systems is data discovery and extraction and personalize treatment recommendations through the ‘tele doctor’ product. In addition to that, the ‘tele doctor’ product also has great potential to make Electronic Health Record Systems more user friendly as we use Machine Learning and RPA services.
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