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Many practitioners have expressed the feeling that EHRs cause far too much of their time ultimately being spent on dataentry. Additionally, issues such as poor quality documentation due to template-based reporting, and incompatibilities between different systems have further caused headaches and increased inefficiencies.
This document, which went out at the end of July, outlines exactly what providers need to be doing. While that should be applauded, it does add an additional layer of complexity when it comes to tackling elective care waiting lists, as there now needs to be additional coordination across facilities in both NHS and private hospitals.
RPA employs software robots, or bots, to carry out tasks such as dataentry and extraction, insurance claims processing, insurance verification, payroll calculations, document verification, employee onboarding, and many others. With healthcare RPA, it’s possible to mitigate errors and inaccuracies.
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In most cases, the EHRs and EDCs don’t communicate, so in order to share that data with trial organisers, staff members at medical centres must manually copy data between the EHR and an EDC. Challenges with data collection don’t only pose business problems, but societal and health equity ones, too.
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