Start Date
11-12-2016 12:00 AM
Description
The recent growth of social media has impacted the way users are searching and sharing health information. Online review and rating websites, in particular, provide a support for patients to share their opinions. Yet, finding the right information can be a challenge, particularly when there is no consistency in the evaluation criteria across various sources. The invasive nature of many dental treatments highlights the importance of selecting a suitable trustworthy provider for dental patients. This study proposes a new trust-enhanced information model in which dentists and patients are profiled based on subjective information. Subjective aspects of dentists are extracted from dental crowd sources such as DrOogle and Yelp. Two matching algorithms are presented. They are based on 580 responses to an online survey. The subjective aspects of both patients and dentists are important factors which are incorporated to improve the matching capability of dental care recommendation systems.
Recommended Citation
Pradhan, Sojen; Gay, Valerie; and Nepal, Surya, "Impact of Subjective Aspects in the Matching of Dentists and Patients in Dental Care Recommendation Systems" (2016). ICIS 2016 Proceedings. 12.
https://aisel.aisnet.org/icis2016/ISHealthcare/Presentations/12
Impact of Subjective Aspects in the Matching of Dentists and Patients in Dental Care Recommendation Systems
The recent growth of social media has impacted the way users are searching and sharing health information. Online review and rating websites, in particular, provide a support for patients to share their opinions. Yet, finding the right information can be a challenge, particularly when there is no consistency in the evaluation criteria across various sources. The invasive nature of many dental treatments highlights the importance of selecting a suitable trustworthy provider for dental patients. This study proposes a new trust-enhanced information model in which dentists and patients are profiled based on subjective information. Subjective aspects of dentists are extracted from dental crowd sources such as DrOogle and Yelp. Two matching algorithms are presented. They are based on 580 responses to an online survey. The subjective aspects of both patients and dentists are important factors which are incorporated to improve the matching capability of dental care recommendation systems.