Oppgaveformulering
PAsTAs (Patient Trajectories, or “Pasientforløp”) is a project that is analyzing what happens to chronically ill patients, as they are moved between their primary doctor, the hospital, and other services offered by the local government.
Currently, the information about single patients is not coordinated between hospitals and other services, so it is difficult to do research about what combination of services is best for chronically ill patients.
In this project, we work with data from doctors, home care services and hospitals to identify how patients move between these instances and how small differences can affect the health of the patients.
THE PROJECT TASK:
A patient trajectory is a sequence of (possibly parallel) health care events like hospitalization, visiting the doctor, receiving public health services, getting diagnosed, taking medicine, etc. These events are connected to specific times or intervals of times in the patient’s life. The patient trajectories consist of data from electronic health-care records (EHR).
The objective of the developed final web interface is to visualize one patient’s trajectory for a specific time interval in such a way that the patients can easily recognize and understand their own timelines. It should also be possible to make the trajectories abstract enough that they can be shown to the public without revealing individual patients’ anonymity.
The specifications for the new prototype system will be based on Håkon Wågbø's master report, and a report from a user-design-workshop to be held in 2014/2015 including interviews with a patient user group. Both patients and scientists are defined as users of this application. The EHR data will be made available in an Event-Stream format (see https://www.ntnu.no/wiki/pages/viewpage.action?pageId=55739223 ) called the Manchester OWL-format, to follow an international standard. The format will be used to produce anonymous trajectories online, and to store the patients' answers.
For more information on the PAsTAs project, see http://telemed.no/pastas-pasientforloep.5219575-247951.html. The overall aim of the PAsTAs project is to “keep the patient out of hospital by improving patient trajectories in primary care”.
The project will be done with the same data as Dagrun og Hanne: PAsTAs – Typology: Clustering Patients Trajectories.
Co-supervisor: Øystein Nytrø
Lenker
http://www.idi.ntnu.no/education/fordypning.php