You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
Health and Big Data: An Ethical Framework for Health Information Collection by Corporate Wellness Programs
|
|---|---|
| Published in |
The Journal of Law, Medicine & Ethics, January 2021
|
| DOI | 10.1177/1073110516667943 |
| Pubmed ID | |
| Authors |
Ifeoma Ajunwa, Kate Crawford, Joel S Ford |
| Abstract |
This essay details the resurgence of wellness program as employed by large corporations with the aim of reducing healthcare costs. The essay narrows in on a discussion of how Big Data collection practices are being utilized in wellness programs and the potential negative impact on the worker in regards to privacy and employment discrimination. The essay offers an ethical framework to be adopted by wellness program vendors in order to conduct wellness programs that would achieve cost-saving goals without undue burdens on the worker. The essay also offers some innovative approaches to wellness that may well better serve the goals of healthcare cost reduction. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Singapore | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Unknown | 112 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 21% |
| Researcher | 16 | 14% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 17 | 15% |
| Unknown | 26 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 25 | 22% |
| Business, Management and Accounting | 12 | 11% |
| Medicine and Dentistry | 9 | 8% |
| Nursing and Health Professions | 8 | 7% |
| Computer Science | 6 | 5% |
| Other | 22 | 19% |
| Unknown | 31 | 27% |