Читать книгу The Internet of Medical Things (IoMT) - Группа авторов - Страница 37

Health data has a long shelf-life, especially on the clinical side. In addition to keeping patient data accessible for at least 6 years, clinicians may choose to use de-identified datasets for research projects, which is vital for continued stewardship and cure. For additional objectives, such as quality measurement or performance benchmarking, data may also be repurposed or re-assessed.

Understanding when and for what purposes the data were created—as well as who utilized it previously, why, how, and when—is vital to academics and data analysts.

The development of complete, accurate, and up-to-date metadata is an important component of a successful data management plan. Metadata enables analysts to precisely duplicate earlier questions that are critical for scientific investigations and proper benchmarking and prevents the creation of “data trash”.

Health organizations should employ a data manager to produce and curate valuable metadata. A data controller may ensure that all pieces have standard definitions and formats, are properly documented from creation to deletion, and remain valuable for the tasks involved.