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Data silos undermine efforts to characterize, predict, and mitigate dementia-related missing person incidents.

Antonio Miguel CruzSamantha MarshallChristine DaumHector Perez Lopez PortilloJohn HirdesLili Liu
Published in: Healthcare management forum (2022)
It is estimated that up to 60% of people living with dementia go missing at least once during the course of their disease. Databases on missing incidents involving people living with dementia are managed in silos with minimal or incomplete data. A national strategy for the collection of data on missing incidents of people living with dementia would optimize time and resources spent on police and search and rescue and enhance chances of saving lives of those who go missing. Such a strategy would be a first step toward developing strategies to prevent future missing person incidents among this population. The objectives of this manuscript are to: (1) describe the issues and challenges related to the lack of integrated data on people living with dementia at risk of going missing, and (2) propose directions to create a national database.
Keyphrases
  • mild cognitive impairment
  • patient safety
  • cognitive impairment
  • electronic health record
  • big data
  • quality improvement
  • data analysis
  • machine learning
  • artificial intelligence
  • deep learning