You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 13 Next »

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. The overall aim of the PAsTAs project is to “keep the patient out of hospital by improving patient trajectories in primary care”.

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. PAsTAs use 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.

In PAsTAs a patient trajectory is defined as 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). 

For more information on the PAsTAs project, see http://telemed.no/pastas-pasientforloep.5219575-247951.html.

The project task:

In this project the focus will be on identifying the most common trajectories patients with chronic diseases go through. The project will involve identifying clusters of actual care trajectory, and write a methodology paper on the summarization of patient trajectories.

Method:

Make a complexity-index based on the following variables: Diagnoses, GP visits, Hospital Visits, Days in Hospital, Personal Plan, Number of Public Services, etc. (to summarize the patient trajectories).
Another approach is to look at patients with identical diagnoses, but different care and outcomes.

Collaborate with Gry og Ingunn: PAsTAs - Patients Trajectories, Web-interface in order to visualize the clusters.

Bakgrunn:

Bachelor i Informatikk, Master i Helseinformatikk. Skriver høstprosjekt nå, og diplom på våren 2015.

Aslak: 

Gruppering av forløp for pasienter med diabetes

Rune, IDI studenter

Forprosjekt og evt masteroppgave om gruppering av forløp med vekt på å kunne skalere på 1) type pasienter og 2) type kontaktsteder (veksle mellom fin (mange) og grov (få) pasienter/steder). Metaforen er å beskrive ulike gruppers bevegelse i et veisystem. Bruker data om de med diabetes innenfor de som har svart på spørreskjema

Co-supervisor: Øystein Nytrø

  • No labels