The text annotation guidelines in healthcare are blueprints to cover a systematic illustration of the medical knowledge saved in digital text. To map the textual visions to structured information, the annotations formed with the help of these guidelines are transferred into an ML algorithm that extracts the medical knowledge in the form of text. In recent times, Google Cloud introduced AutoML entity Extraction for healthcare and it used to establish extraction models for medical applications. However, there was a consistent roadblock when it came to execution on Auto ML DIY projects due to difficulty in translating the cognitive concept of humans into a machine-readable manual. The translation today takes place due to human annotators as they annotate every text to obtain the right insights. But training annotators is indeed a complex task and it needs knowledge across many sectors such as neuroscience and linguistics, and a deeper knowledge of the industry domain. The guidelines of Healthcare Text Annotation are a
