We're unable to sign you in at this time. Please try again in a few minutes.
We were able to sign you in, but your subscription(s) could not be found. Please try again in a few minutes.
There may be a problem with your account. Please contact the AMA Service Center to resolve this issue.
Contact the AMA Service Center:
Telephone: 1 (800) 262-2350 or 1 (312) 670-7827  *   Email: subscriptions@jamanetwork.com
Error Message ......
Viewpoint |

What to Expect When [Your Employer Suspects] You’re Expecting ONLINE FIRST

Stephanie R. Morain, PhD, MPH1; Leah R. Fowler, JD1; Jessica L. Roberts, JD2
[+] Author Affiliations
1Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas
2Health Law and Policy Institute, University of Houston, Houston, Texas
JAMA Intern Med. Published online September 06, 2016. doi:10.1001/jamainternmed.2016.5268
Text Size: A A A
Published online


This Viewpoint examines employers’ use of wellness program analytics to predict pregnancy.

Employers are increasingly contracting with firms that use big data to predict and promote employee health. By aggregating claims data, browser searches, and demographic information, these firms can foresee whether employees are at risk for health issues—and their associated costs—and target preventive resources accordingly. However, a recent report1 indicates that this analytic capability is being extended to predict not only diabetes or the need for back surgery but also whether an employee is or is considering becoming pregnant. This trend raises troubling questions about the appropriate limits of wellness program analytics. When is an employer’s use of big data a legitimate prevention strategy, and when is it an impermissible intrusion into employee privacy?

Sign in

Purchase Options

• Buy this article
• Subscribe to the journal
• Rent this article ?

First Page Preview

View Large
First page PDF preview





Also Meets CME requirements for:
Browse CME for all U.S. States
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
Please click the checkbox indicating that you have read the full article in order to submit your answers.
Your answers have been saved for later.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.


Some tools below are only available to our subscribers or users with an online account.

0 Citations

Sign in

Purchase Options

• Buy this article
• Subscribe to the journal
• Rent this article ?

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Collections