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| 3.25 MB | Adobe PDF |
Orientador(es)
Resumo(s)
There is an ongoing paradigm shift in healthcare, with patients increasingly controlling their
own health. Patient Innovation is an excellent example of this shift. Observation of the
Patient-innovation platform, the largest repository of Patient Innovations in the world, shows
most contributions are published by the platform’s staff. Online search for Patient Innovations
is a resource-consuming task for very rare outcomes. A novel system to complement such
human effort is proposed in the form of a “News Article Listener” to reduce large sets of
news articles to a subset of articles that are likely to describe Patient Innovations. Initial tests
reduced a set of 14,977 articles to a subset of 519 articles, from which an operator found 6
Patient Innovations. The importance of this result is further discussed for innovation
management and health care.
Descrição
Dissertation presented as partial requirement for obtaining the Master’s degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Lead User Patient Innovation Text Classification Natural Language Processing
