---
_id: '4338'
abstract:
- lang: eng
text: 'Physician review websites are known around the world. Patients review the
subjectively experienced quality of medical services supplied to them and publish
an overall rating on the Internet, where quantitative grades and qualitative texts
come together. On the one hand, these new possibilities reduce the imbalance of
power between health care providers and patients, but on the other hand, they
can also damage the usually very intimate relationship between health care providers
and patients. Review websites must meet these requirements with a high level of
responsibility and service quality. In this paper, we look at the situation in
Lithuania: Especially, we are interested in the available possibilities of evaluation
and interaction, and the quality of a particular review website measured against
the available data. We thereby identify quality weaknesses and lay the foundation
for future research.'
author:
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Vytautas
full_name: Kuršelis, Vytautas
last_name: Kuršelis
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Bäumer FS, Kersting J, Kuršelis V, Geierhos M. Rate Your Physician: Findings
from a Lithuanian Physician Rating Website. In: Damaševičius R, Vasiljevienė G,
eds. Communications in Computer and Information Science. Vol 920. Communications
in Computer and Information Science. Cham, Switzerland: Springer; 2018:43-58.
doi:10.1007/978-3-319-99972-2_4'
apa: 'Bäumer, F. S., Kersting, J., Kuršelis, V., & Geierhos, M. (2018). Rate
Your Physician: Findings from a Lithuanian Physician Rating Website. In R. Damaševičius
& G. Vasiljevienė (Eds.), Communications in Computer and Information Science
(Vol. 920, pp. 43–58). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-99972-2_4'
bibtex: '@inbook{Bäumer_Kersting_Kuršelis_Geierhos_2018, place={Cham, Switzerland},
series={Communications in Computer and Information Science}, title={Rate Your
Physician: Findings from a Lithuanian Physician Rating Website}, volume={920},
DOI={10.1007/978-3-319-99972-2_4},
booktitle={Communications in Computer and Information Science}, publisher={Springer},
author={Bäumer, Frederik Simon and Kersting, Joschka and Kuršelis, Vytautas and
Geierhos, Michaela}, editor={Damaševičius, Robertas and Vasiljevienė, GiedrėEditors},
year={2018}, pages={43–58}, collection={Communications in Computer and Information
Science} }'
chicago: 'Bäumer, Frederik Simon, Joschka Kersting, Vytautas Kuršelis, and Michaela
Geierhos. “Rate Your Physician: Findings from a Lithuanian Physician Rating Website.”
In Communications in Computer and Information Science, edited by Robertas
Damaševičius and Giedrė Vasiljevienė, 920:43–58. Communications in Computer and
Information Science. Cham, Switzerland: Springer, 2018. https://doi.org/10.1007/978-3-319-99972-2_4.'
ieee: 'F. S. Bäumer, J. Kersting, V. Kuršelis, and M. Geierhos, “Rate Your Physician:
Findings from a Lithuanian Physician Rating Website,” in Communications in
Computer and Information Science, vol. 920, R. Damaševičius and G. Vasiljevienė,
Eds. Cham, Switzerland: Springer, 2018, pp. 43–58.'
mla: 'Bäumer, Frederik Simon, et al. “Rate Your Physician: Findings from a Lithuanian
Physician Rating Website.” Communications in Computer and Information Science,
edited by Robertas Damaševičius and Giedrė Vasiljevienė, vol. 920, Springer, 2018,
pp. 43–58, doi:10.1007/978-3-319-99972-2_4.'
short: 'F.S. Bäumer, J. Kersting, V. Kuršelis, M. Geierhos, in: R. Damaševičius,
G. Vasiljevienė (Eds.), Communications in Computer and Information Science, Springer,
Cham, Switzerland, 2018, pp. 43–58.'
conference:
end_date: 2018-10-06
location: Vilnius, Lithuania
name: 24th International Conference on Information and Software Technologies (ICIST
2018)
start_date: 2018-10-04
date_created: 2018-09-01T08:39:28Z
date_updated: 2022-01-06T07:00:56Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.1007/978-3-319-99972-2_4
editor:
- first_name: Robertas
full_name: Damaševičius, Robertas
last_name: Damaševičius
- first_name: Giedrė
full_name: Vasiljevienė, Giedrė
last_name: Vasiljevienė
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:22:34Z
date_updated: 2020-09-18T09:22:34Z
file_id: '19571'
file_name: Bäumer et al. (2018), Baeumer2018b.pdf
file_size: 1835681
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:22:34Z
has_accepted_license: '1'
intvolume: ' 920'
keyword:
- Lithuanian physician review websites
- Medical service ratings
language:
- iso: eng
page: 43-58
place: Cham, Switzerland
publication: Communications in Computer and Information Science
publication_identifier:
isbn:
- '9783319999715'
- '9783319999722'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Communications in Computer and Information Science
status: public
title: 'Rate Your Physician: Findings from a Lithuanian Physician Rating Website'
type: book_chapter
user_id: '58701'
volume: 920
year: '2018'
...
---
_id: '5829'
abstract:
- lang: eng
text: Websites increasingly embed semantic data for search engine optimization.
The most common ontology for semantic data, schema.org, is supported by all major
search engines and describes over 500 data types, including calendar events, recipes,
products, and TV shows. As of today, users wishing to pass this data to their
favorite applications, e.g., their calendars, cookbooks, price comparison applications
or even smart devices such as TV receivers, rely on cumbersome and error-prone
workarounds such as reentering the data or a series of copy and paste operations.
In this paper, we present Semantic Data Mediator (SDM), an approach that allows
the easy transfer of semantic data to a multitude of services, ranging from web
services to applications installed on different devices. SDM extracts semantic
data from the currently displayed web page on the client-side, offers suitable
services to the user, and by the press of a button, forwards this data to the
desired service while doing all the necessary data conversion and service interface
adaptation in between. To realize this, we built a reusable repository of service
descriptions, data converters, and service adapters, which can be extended by
the crowd. Our approach for linking services to websites relies solely on semantic
data and does not require any additional support by either website or service
developers. We have fully implemented our approach and present a real-world case
study demonstrating its feasibility and usefulness.
author:
- first_name: Dennis
full_name: Wolters, Dennis
id: '11308'
last_name: Wolters
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Wolters D, Heindorf S, Kirchhoff J, Engels G. Linking Services to Websites
by Leveraging Semantic Data. In: Altintas I, Chen S, eds. 2017 IEEE International
Conference on Web Services (ICWS). IEEE; 2017. doi:10.1109/icws.2017.80'
apa: Wolters, D., Heindorf, S., Kirchhoff, J., & Engels, G. (2017). Linking
Services to Websites by Leveraging Semantic Data. In I. Altintas & S. Chen
(Eds.), 2017 IEEE International Conference on Web Services (ICWS). IEEE.
https://doi.org/10.1109/icws.2017.80
bibtex: '@inproceedings{Wolters_Heindorf_Kirchhoff_Engels_2017, title={Linking Services
to Websites by Leveraging Semantic Data}, DOI={10.1109/icws.2017.80},
booktitle={2017 IEEE International Conference on Web Services (ICWS)}, publisher={IEEE},
author={Wolters, Dennis and Heindorf, Stefan and Kirchhoff, Jonas and Engels,
Gregor}, editor={Altintas, Ilkay and Chen, Shiping}, year={2017} }'
chicago: Wolters, Dennis, Stefan Heindorf, Jonas Kirchhoff, and Gregor Engels. “Linking
Services to Websites by Leveraging Semantic Data.” In 2017 IEEE International
Conference on Web Services (ICWS), edited by Ilkay Altintas and Shiping Chen.
IEEE, 2017. https://doi.org/10.1109/icws.2017.80.
ieee: 'D. Wolters, S. Heindorf, J. Kirchhoff, and G. Engels, “Linking Services to
Websites by Leveraging Semantic Data,” in 2017 IEEE International Conference
on Web Services (ICWS), 2017, doi: 10.1109/icws.2017.80.'
mla: Wolters, Dennis, et al. “Linking Services to Websites by Leveraging Semantic
Data.” 2017 IEEE International Conference on Web Services (ICWS), edited
by Ilkay Altintas and Shiping Chen, IEEE, 2017, doi:10.1109/icws.2017.80.
short: 'D. Wolters, S. Heindorf, J. Kirchhoff, G. Engels, in: I. Altintas, S. Chen
(Eds.), 2017 IEEE International Conference on Web Services (ICWS), IEEE, 2017.'
date_created: 2018-11-26T11:49:31Z
date_updated: 2022-10-15T20:01:55Z
department:
- _id: '66'
doi: 10.1109/icws.2017.80
editor:
- first_name: Ilkay
full_name: Altintas, Ilkay
last_name: Altintas
- first_name: Shiping
full_name: Chen, Shiping
last_name: Chen
keyword:
- Services
- Websites
- Semantic Data
- schema.org
- Data Conversion
- Interface Adaptation
- Mediation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://cs.uni-paderborn.de/fileadmin/informatik/fg/dbis/Publikationen/2017/wolters2017_ICWS.pdf
oa: '1'
publication: 2017 IEEE International Conference on Web Services (ICWS)
publication_identifier:
isbn:
- '9781538607527'
publication_status: published
publisher: IEEE
status: public
title: Linking Services to Websites by Leveraging Semantic Data
type: conference
user_id: '11871'
year: '2017'
...
---
_id: '1150'
abstract:
- lang: eng
text: Patients 2.0 increasingly inform themselves about the quality of medical services
on physician rating websites. However, little is known about whether the reviews
and ratings on these websites truly reflect the quality of services or whether
the ratings on these websites are rather influenced by patients’ individual rating
behavior. Therefore, we investigate more than 790,000 physician reviews on Germany’s
most used physician rating website jameda.de. Our results show that patients’
ratings do not only reflect treatment quality but are also influenced by treatment
quality independent factors like age and complaint behavior. Hence, we provide
evidence that users should be well aware of user specific rating distortions when
intending to make their physician choice based on these ratings.
author:
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Sabine
full_name: Schulze, Sabine
last_name: Schulze
- first_name: Caterina
full_name: Klotz, Caterina
last_name: Klotz
citation:
ama: 'Geierhos M, Bäumer FS, Schulze S, Klotz C. Understanding the Patient 2.0:
Gaining Insight into Patients’ Rating Behavior by User-generated Physician Review
Mining. In: Christiansen H, Stojanovic I, Papadopoulos GA, eds. Modeling and
Using Context. 9th International and Interdisciplinary Conference, CONTEXT 2015,
Lanarca, Cyprus, November 2-6, 2015. Proceedings. Vol 9405. Lecture Notes
in Artificial Intelligence. Cham, Switzerland: Springer; 2015:159-171. doi:10.1007/978-3-319-25591-0_12'
apa: 'Geierhos, M., Bäumer, F. S., Schulze, S., & Klotz, C. (2015). Understanding
the Patient 2.0: Gaining Insight into Patients’ Rating Behavior by User-generated
Physician Review Mining. In H. Christiansen, I. Stojanovic, & G. A. Papadopoulos
(Eds.), Modeling and Using Context. 9th International and Interdisciplinary
Conference, CONTEXT 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings
(Vol. 9405, pp. 159–171). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-25591-0_12'
bibtex: '@inbook{Geierhos_Bäumer_Schulze_Klotz_2015, place={Cham, Switzerland},
series={Lecture Notes in Artificial Intelligence}, title={Understanding the Patient
2.0: Gaining Insight into Patients’ Rating Behavior by User-generated Physician
Review Mining}, volume={9405}, DOI={10.1007/978-3-319-25591-0_12},
booktitle={Modeling and Using Context. 9th International and Interdisciplinary
Conference, CONTEXT 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings}, publisher={Springer},
author={Geierhos, Michaela and Bäumer, Frederik Simon and Schulze, Sabine and
Klotz, Caterina}, editor={Christiansen, Henning and Stojanovic, Isidora and Papadopoulos,
George A.Editors}, year={2015}, pages={159–171}, collection={Lecture Notes in
Artificial Intelligence} }'
chicago: 'Geierhos, Michaela, Frederik Simon Bäumer, Sabine Schulze, and Caterina
Klotz. “Understanding the Patient 2.0: Gaining Insight into Patients’ Rating Behavior
by User-Generated Physician Review Mining.” In Modeling and Using Context.
9th International and Interdisciplinary Conference, CONTEXT 2015, Lanarca, Cyprus,
November 2-6, 2015. Proceedings, edited by Henning Christiansen, Isidora Stojanovic,
and George A. Papadopoulos, 9405:159–71. Lecture Notes in Artificial Intelligence.
Cham, Switzerland: Springer, 2015. https://doi.org/10.1007/978-3-319-25591-0_12.'
ieee: 'M. Geierhos, F. S. Bäumer, S. Schulze, and C. Klotz, “Understanding the Patient
2.0: Gaining Insight into Patients’ Rating Behavior by User-generated Physician
Review Mining,” in Modeling and Using Context. 9th International and Interdisciplinary
Conference, CONTEXT 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings,
vol. 9405, H. Christiansen, I. Stojanovic, and G. A. Papadopoulos, Eds. Cham,
Switzerland: Springer, 2015, pp. 159–171.'
mla: 'Geierhos, Michaela, et al. “Understanding the Patient 2.0: Gaining Insight
into Patients’ Rating Behavior by User-Generated Physician Review Mining.” Modeling
and Using Context. 9th International and Interdisciplinary Conference, CONTEXT
2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings, edited by Henning
Christiansen et al., vol. 9405, Springer, 2015, pp. 159–71, doi:10.1007/978-3-319-25591-0_12.'
short: 'M. Geierhos, F.S. Bäumer, S. Schulze, C. Klotz, in: H. Christiansen, I.
Stojanovic, G.A. Papadopoulos (Eds.), Modeling and Using Context. 9th International
and Interdisciplinary Conference, CONTEXT 2015, Lanarca, Cyprus, November 2-6,
2015. Proceedings, Springer, Cham, Switzerland, 2015, pp. 159–171.'
conference:
end_date: 2015-11-06
location: Larnaca, Cyprus
name: 9th International and Interdisciplinary Conference on Modeling and Using Context
(CONTEXT 2015)
start_date: 2015-11-02
date_created: 2018-01-31T12:12:37Z
date_updated: 2022-01-06T06:51:02Z
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.1007/978-3-319-25591-0_12
editor:
- first_name: Henning
full_name: Christiansen, Henning
last_name: Christiansen
- first_name: Isidora
full_name: Stojanovic, Isidora
last_name: Stojanovic
- first_name: George A.
full_name: Papadopoulos, George A.
last_name: Papadopoulos
intvolume: ' 9405'
keyword:
- Health 2.0
- Rating Behavior
- Patient Opinion Mining on Physician Rating Websites
language:
- iso: eng
page: 159-171
place: Cham, Switzerland
publication: Modeling and Using Context. 9th International and Interdisciplinary Conference,
CONTEXT 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings
publication_identifier:
eisbn:
- '9783319255910'
isbn:
- '9783319255903'
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Lecture Notes in Artificial Intelligence
status: public
title: 'Understanding the Patient 2.0: Gaining Insight into Patients'' Rating Behavior
by User-generated Physician Review Mining'
type: book_chapter
user_id: '42496'
volume: 9405
year: '2015'
...