%0 Book Section %1 BrandhermSchmitzEtAl13p349 %A Brandherm, Boris %A Schmitz, Michael %A Neßelrath, Robert %A Lehmann, Frank %B SemProM: Foundations of Semantic Product Memories for the Internet of Things %D 2013 %K ai embedded health information myown product rfid sensor %P 349-361 %R 10.1007/978-3-642-37377-0_21 %T A SemProM Use Case: Health Care and Compliance %X Smart package solutions may support a patient in the intake of medication---for instance, through the package's form factor or by linking of the package with digital data and services built upon these data. This chapter discusses the application potential of a so-called digital product memory in this domain. The starting point is a visionary scenario in which the interplay of intelligent environments and medicine packages equipped with digital product memories allows for unobtrusive support of a patient in dealing with situations that might affect his or her therapy compliance. In this chapter, components of a technical infrastructure of particular relevance to the envisioned kind of support are described. This discussion is complemented with a review of prototype implementations of interaction mechanisms taken from the scenario. %@ 978-3-642-37376-3

@incollection{BrandhermSchmitzEtAl13p349, abstract = {Smart package solutions may support a patient in the intake of medication---for instance, through the package's form factor or by linking of the package with digital data and services built upon these data. This chapter discusses the application potential of a so-called digital product memory in this domain. The starting point is a visionary scenario in which the interplay of intelligent environments and medicine packages equipped with digital product memories allows for unobtrusive support of a patient in dealing with situations that might affect his or her therapy compliance. In this chapter, components of a technical infrastructure of particular relevance to the envisioned kind of support are described. This discussion is complemented with a review of prototype implementations of interaction mechanisms taken from the scenario.}, added-at = {2013-06-17T10:20:19.000+0200}, author = {Brandherm, Boris and Schmitz, Michael and Ne{\ss}elrath, Robert and Lehmann, Frank}, biburl = {https://www.bibsonomy.org/bibtex/275a843281bc9e703549a34204295de3f/rnesselrath}, booktitle = {SemProM: Foundations of Semantic Product Memories for the Internet of Things}, crossref = {Wahlster2013}, doi = {10.1007/978-3-642-37377-0_21}, groups = {public}, interhash = {0d81fa0f2ea47d9bc938a26261a1f3e1}, intrahash = {75a843281bc9e703549a34204295de3f}, isbn = {978-3-642-37376-3}, keywords = {ai embedded health information myown product rfid sensor}, pages = {349-361}, timestamp = {2013-06-17T10:20:19.000+0200}, title = {A {SemProM} Use Case: Health Care and Compliance}, username = {flint63}, year = 2013 }