Exploring the Adoption of Technology Driven Services in the Healthcare Industry

2010 ◽  
Vol 2 (1) ◽  
pp. 71-93 ◽  
Author(s):  
Umit Topacan ◽  
A. Nuri Basoglu ◽  
Tugrul U. Daim
Keyword(s):  
Health Information ◽  
Information And Communication Technologies ◽  
Medical Information ◽  
User Behavior ◽  
Information Service ◽  
User Characteristics ◽  
Adoption Of Technology ◽  
Service Adoption ◽  
Recent Developments ◽  
Facilitating Conditions

Recent developments in information and communication technologies have helped to accelerate the diffusion of electronic services in the medical industry. Health information services house, retrieve, and make use of medical information to improve service quality and reduce cost. Users—including medical staff, administrative staff, and patients—of these systems cannot fully benefit from them unless they can use them comfortably. User behavior is affected by various factors relating to technology characteristics, user characteristics, social environment, and organizational environment. Our research evaluated the determinants of health information service adoption and analyzed the relationship between these determinants and the behavior of the user. Health information service adoption was found to be influenced by service characteristics, user characteristics, intermediary variables, facilitating conditions, and social factors.

Exploring the Adoption of Technology Driven Services in the Healthcare Industry

2010 ◽  
pp. 1172-1192
Author(s):  
Umit Topacan ◽  
A. Nuri Basoglu ◽  
Tugrul U. Daim
Keyword(s):  
Health Information ◽  
Information And Communication Technologies ◽  
Medical Information ◽  
User Behavior ◽  
Information Service ◽  
User Characteristics ◽  
Adoption Of Technology ◽  
Service Adoption ◽  
Recent Developments ◽  
Facilitating Conditions

Recent developments in information and communication technologies have helped to accelerate the diffusion of electronic services in the medical industry. Health information services house, retrieve, and make use of medical information to improve service quality and reduce cost. Users—including medical staff, administrative staff, and patients—of these systems cannot fully benefit from them unless they can use them comfortably. User behavior is affected by various factors relating to technology characteristics, user characteristics, social environment, and organizational environment. Our research evaluated the determinants of health information service adoption and analyzed the relationship between these determinants and the behavior of the user. Health information service adoption was found to be influenced by service characteristics, user characteristics, intermediary variables, facilitating conditions, and social factors.

Exploring the Adoption of Technology Driven Services in the Healthcare Industry

2012 ◽  
pp. 66-86 ◽  
Author(s):  
Umit Topacan ◽  
A. Nuri Basoglu ◽  
Tugrul Daim
Keyword(s):  
Health Information ◽  
Information And Communication Technologies ◽  
Medical Information ◽  
User Behavior ◽  
Information Service ◽  
User Characteristics ◽  
Adoption Of Technology ◽  
Service Adoption ◽  
Recent Developments ◽  
Facilitating Conditions

Recent developments in information and communication technologies have helped to accelerate the diffusion of electronic services in the medical industry. Health information services house, retrieve, and make use of medical information to improve service quality and reduce cost. Users—including medical staff, administrative staff, and patients—of these systems cannot fully benefit from them unless they can use them comfortably. User behavior is affected by various factors relating to technology characteristics, user characteristics, social environment, and organizational environment. Our research evaluated the determinants of health information service adoption and analyzed the relationship between these determinants and the behavior of the user. Health information service adoption was found to be influenced by service characteristics, user characteristics, intermediary variables, facilitating conditions, and social factors.

Quality of information about mental disease on the Internet: A comparative and longitudinal study of entries form Baidu Encyclopedia and Wikipedia (Preprint)

2021 ◽  
Author(s):  
Jing Ma ◽  
Lisha Jiang ◽  
Jianchen Luo ◽  
Linli Zheng ◽  
Meiou Wang ◽  
...  
Keyword(s):  
Health Information ◽  
Medical Information ◽  
Mental Disease ◽  
Information Service ◽  
The Internet ◽  
Positive Trend ◽  
Online Information ◽  
Disease Information ◽  
Medical Network

BACKGROUND The Internet has evolved the approaches of medical information spread. Demands of online information searching on mental disease expanded. The Wikipedia and Baidu Encyclopedia are popular information source. Websites with information on mental disease have not been systematically evaluated. OBJECTIVE The research aimed to estimate the quality of mental disease information on the internet and to evaluate all aspects including timeliness to value the information quality from Baidu Encyclopedia and Wikipedia to help users to make better choice. Besides, establishing a perfect relevant online health information examine and supervision system, in order to satisfy public self-help mental medical information service needs. METHODS We retrieved the entries on mental disease from the International Statistical Classification of Diseases and Related Health Problems 10th Revision Version 2016 codes on Wikipedia (in English) and Baidu Encyclopedia (in Chinese) in 2018 and 2021. Subject sites were accessed by DISCERN. The comparison between 2 engines as well as 3 years follow-up and timeliness were calculated. RESULTS The number of entries on mental disease we found in 2018 is 34 on Baidu Encyclopedia and 36 on Wikipedia and 37 entries on both Baidu Encyclopedia and Wikipedia in 2021. In 2018, the DISCERN score of Baidu Encyclopedia entries in section 1 and section 3 were lower than those of Wikipedia articles (11.21±4.57 vs 26.25±3.21, p<.001; 2.06±.74 vs 2.53±.94, p<.05). Significantly differences can also be found in total score and all sections in 2021 between 2 engines (total score, 26.29±11.03 vs 44.31±9.77, all 3 sections, p<.001). The DISCERN score of Wikipedia articles during 3 years showed significant increase (all 3 sections, p<.001; total, p<.001). The mean update interval varies greatly from Baidu Encyclopedia (824.79 days in 2018; 945.73 days in 2021) to Wikipedia (34.17 days in 2018;50.46 days in 2021) (p<.001). CONCLUSIONS Despite the general poor quality of mental disease entries in both two engines, Wikipedia expressed to be a better source of online mental disease information compared to Baidu Encyclopedia, with higher reliability, better treatment advice and shorter update interval. Our findings reflected the existing deficit of general website mental health information, suggested a reference for further and better medical network information order. Based on this foundation, it is essential to encourage people to seek professional help rather than believe the ambiguous source information from Internet. The quality of these entries has been improved during 3 years. This positive trend is encouraging that we can expect better online information service in the coming future.

scholarly journals Service Design as a Catalyst for Patient-Centered eHealth Innovation

2021 ◽  
Vol 12 (3) ◽  
pp. 62-85
Author(s):  
Danny Ronald Nyatuka ◽  
Retha De La Harpe
Keyword(s):  
Health Information ◽  
Information And Communication Technologies ◽  
Design Research ◽  
Information Service ◽  
Health Sector ◽  
Service Design ◽  
Research Strategy ◽  
Three Dimensions ◽  
Design Solution ◽  
Patient Centered

Today's healthcare industry is confronted with a myriad of challenges amidst emerging trends and opportunities which trigger a paradigm shift in healthcare design from stand-alone products to holistic services. These three dimensions are critical in assessing and managing healthcare, particularly in underserved settings. This study aims to maximize opportunities presented by both design and information and communication technologies to enhance the implementation of integrated people-centered health services. It is a qualitative study conducted across six government health facilities within Nairobi slums in Kenya as a case study of maternal health information services. Co-design-oriented service design research strategy is employed while a representative sample of (n=47) participants is drawn from different stakeholders in the public health sector. An architectural design framework for cloud-based patient-centered health information service is designed to support maternal care in underserved settings. A prototype service (AfyaTab app) is developed as a proof-of-concept of the proposed design solution.

scholarly journals Consumer Health Information Service for Patients and Medical Consumers. Medical Information Service by Kyoto Minami Hospital to Its Patients and Regional Inhabitants.

1998 ◽  
Vol 45 (1) ◽  
pp. 51-56
Author(s):  
Machiko YAMAMURO ◽  
Kazuyo NISHIMURA ◽  
Shigeo TOTSUZAKI ◽  
Susumu TAKAHASHI ◽  
Tsuneyasu TANI ◽  
...  
Keyword(s):  
Health Information ◽  
Medical Information ◽  
Information Service ◽  
Consumer Health Information ◽  
Consumer Health

Health Information Management and Individual Privacy

2011 ◽  
pp. 80-95
Author(s):  
Felix B. Tan ◽  
Gehan Gunasekara
Keyword(s):  
New Zealand ◽  
Health Information ◽  
Information Management ◽  
National Health ◽  
Information Service ◽  
Health Information Management ◽  
Individual Privacy ◽  
Recent Developments ◽  
Information Management Systems ◽  
Set Up

The chapter reports on recent developments in the management of health information in New Zealand and the implications these initiatives have raised regarding individual privacy. Set up in 1993 to implement the country’s health information strategy, the New Zealand Health Information Service (NZHIS) has recently established a national health register. At the heart of this development are three national databases: the National Health Index, the Medical Warnings System and the National Minimum Data Set. These applications and their functions are presented. Also discussed is a number of other health information management initiatives currently being explored. The chapter contends that these initiatives under the guise of advancing the nation’s health may, instead, be infringing the privacy and confidentiality of the nation’s citizens. The chapter further considers the application of New Zealand’s privacy legislation (the Privacy Act 1993 and the Health Information Privacy Code) to the development of centralised health information management systems. It concludes by considering the possibility of hidden agendas despite the provisions of the nation’s privacy rules.

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