{"id":10759,"date":"2016-06-14T14:14:29","date_gmt":"2016-06-14T13:14:29","guid":{"rendered":"http:\/\/catai.net\/blog\/?p=10759"},"modified":"2016-06-14T17:29:52","modified_gmt":"2016-06-14T16:29:52","slug":"small-health-data-pdddmh-personal-data-driven-decision-making-in-healthcare","status":"publish","type":"post","link":"https:\/\/catai.net\/blog\/2016\/06\/small-health-data-pdddmh-personal-data-driven-decision-making-in-healthcare\/","title":{"rendered":"Small Health Data: pDDDMH. Personal Data Driven Decision making in Healthcare"},"content":{"rendered":"

In several post we have discuss the use and mean of the IoT data coming from medical or tracking devices. This Small Health Data belonging to the user and which main use have to be to help the user to be in better health and to prevent any disease or health complication.<\/p>\n

\"Data<\/a>
Data Decision Support Management<\/figcaption><\/figure>\n

In other words this is personal data that can be used on streaming mode to help user and particularly PHAs (personal health assistants) to get pDDDMH<\/strong> = “personal Data Driven Decision Making in Healthcare” to prevent deseases and complications.<\/p>\n

This is not BIG DATA although it might be possible to have similar data analytic processes<\/a>\u00a0which interactive dashboards & insights<\/strong><\/span> are carry out by PHAs<\/a><\/strong> and those decisions bringing a differences to\u00a0the user must be\u00a0“suggested” personally by the PHAs by videoconference, phone calls or face-to-face.<\/p>\n

Several differences distinguish the analytic process:<\/p>\n

    \n
  1. Is in a streaming mode.<\/li>\n
  2. Might require a quick feed-back since it might be sometimes a health emergency.<\/li>\n
  3. Is private and personal data, therefore under the new GDPR<\/a> in the EU [This represent to fulfill a\u00a0SLA contract (service level of agreedment) and to have a DPO (data protection officer) ].<\/li>\n
  4. Decisions do not reach the user (unless specifically required).<\/li>\n
  5. Involve a contract 3er party capable to provide personal care in case of\u00a0health-relevant situations.<\/li>\n<\/ol>\n

    A\u00a0quality & stability of data is an essential premise. It has\u00a0to\u00a0be not only encrypted but also\u00a0not manipulated and therefore a chain of trust should be involved.<\/p>\n

    Similarly to Big Data the Small Data do fulfill the 5Vs: Volume, Velocity, Variety, Verification & Value. The difference… “the value” which is not a general value but a user’s personal value.<\/p>\n

    Only in the FOG<\/a> or in the EDGE of the Cloud this processes are possible.<\/p>\n","protected":false},"excerpt":{"rendered":"

    In several post we have discuss the use and mean of the IoT data coming from medical or tracking devices. This Small Health Data belonging to the user and which main use have to be to help the user to be in better health and to prevent any disease or health complication. 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