@book{4336,
  abstract     = {{Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems.

The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning.

The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.}},
  editor       = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}},
  isbn         = {{978-3-319-16225-6}},
  issn         = {{1611-3349}},
  keywords     = {{HCI, ambient assisted living, big data, computational intelligence, context awareness, data centric medicine, decision support, interactive data mining, keyword detection, knoweldge bases, knoweldge discovery, machine learning, medical decision support, medical informatics, natural language processing, pervasive health, smart home, ubiquitous computing, visualization, wearable sensors}},
  pages        = {{275}},
  publisher    = {{Springer}},
  title        = {{{Smart Health: Open Problems and Future Challenges}}},
  doi          = {{10.1007/978-3-319-16226-3}},
  volume       = {{8700}},
  year         = {{2015}},
}

@inproceedings{4372,
  abstract     = {{The use of mobile computing is expanding dramatically in recent years and trends indicate that “the future is mobile”. Nowadays, mobile computing plays an increasingly important role in the biomedical domain, and particularly in hospitals. The benefits of using mobile devices in hospitals are no longer disputed and many applications for medical care are already available. Many studies have proven that mobile technologies can bring various benefits for enhancing information management in the hospital. But is mobility a solution for every problem?

In this paper, we will demonstrate that mobility is not always an advantage. On the basis of a field study at the pediatric surgery of a large University Hospital, we have learned within a two-year long mobile computing project, that mobile devices have indeed many disadvantages, particularly in stressful and hectic situations and we conclude that mobile computing is not always advantageous.}},
  author       = {{Holzinger, Andreas and Sommerauer, Bettina and Spitzer, Peter and Juric, Simon and Zalik, Borut and Debevc, Matjaz and Lidynia, Chantal and Calero-Valdez, Andre and Röcker, Carsten and Ziefle, Martina}},
  booktitle    = {{Availability, Reliability, and Security in Information Systems}},
  editor       = {{Teufel, Stephanie and Min, Tjoa A. and You, Ilsun and Weippl, Edgar}},
  isbn         = {{978-3-319-10974-9}},
  keywords     = {{Mobile computing, real-world, user experience, hospital computing, medical informatics}},
  location     = {{Fribourg, Switzerland}},
  pages        = {{110 -- 123}},
  publisher    = {{Springer}},
  title        = {{{Mobile Computing is not Always Advantageous: Lessons Learned from a Real-World Case Study in a Hospital}}},
  doi          = {{10.1007/978-3-319-10975-6_8}},
  volume       = {{8708}},
  year         = {{2014}},
}