Auto Exercise Planning

Using string data from the electronic patient record to compose an eHealth exercise program, what is needed and how feasible is it, what can be the potential outcome?

Composing a digital exercise program is time consuming.

Is it feasible to compose a exercise program by subsequently:

Linking data from the anamnese by a health professional to an established framework (the ICF by tue WHO) that describes human functioning

Linking components and items in the ICF to exercises in an app eg. Physitrack.

Methods:

Creating an experimental environment (zandbak) comprising a written summary of five anamneses of patients who experience problems regarding mobility (e.g. walking).

  1. STEP 1 Extracting indicators from the strong data for issues regarding mobility; words/synonyms, sentences, negative or positive.
  2. STEP 2 Link these terminologies to the ICF first only starting with d4 mobility possibly including a rating -3 till +3.
  3. STEP 3 Link these outcomes of step 3 to exercising physitrack that are related to d4. Perhaps a subset of exercises need to be selected if there is insufficient linking to the ICF.
Dr. Hani Al-Ers
Dr. Hani Al-Ers
Senior Researcher
Hani Al-Ers is a researcher in the field of human-machine interactions. He completed his PhD at the Delft University of Technology at the Interactive Intelligence group of the Faculty Computer Science (EEMCS). Philips Research in Eindhoven sponsored his project which was aimed at improving the user experience of Philips tv sets. He completed 2 post-docs at the Delft University of Technology, during which he managed international consortia on topics such as an improved quality of life for the elderly. Currently, he is conducting research in the field of health and education and he leads the Research Education activities at the Dutch Innovation Factory.

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