Fertility Apps with Hundreds of Millions of Users Collect and Share Excessive Information

The majority of top-rated fertility apps collect and even share intimate data without the users' knowledge or permission, a collaborative study by Newcastle University and Umea University has found.

Researchers are now calling for a tightening of the categorisation of these apps by platforms to protect women from intimate and deeply personal information being exploited and sold.

For hundreds of millions of women fertility tracking applications offer an affordable solution when trying to conceive or manage their pregnancy. But as this technology grows in popularity, experts have revealed that most of the top-rated fertility apps collect and share sensitive private information without users' consent.

Dr Maryam Mehrnezhad, of Newcastle University's School of Computing and Dr Teresa Almeida, from the Department of Informatics, UmeƄ University, Sweden, explored the privacy risks that can originate from the mismanagement, misuse, and misappropriation of intimate data, which are entwined in individual life events and in public health issues such as abortion, infertility, and pregnancy.

Dr Mehrnezhad and Dr Almeida analysed the privacy notices and tracking practices of 30 apps, available at no cost and dedicated to potential fertility. The apps were selected from the top search results in the Google Play Store and let a user regularly input personal and intimate information, including temperature, mood, sexual activity, orgasm and medical records.

Once the apps were downloaded, the researchers analysed GDPR requirements, privacy notices and tracking practices. They found out that the majority of these apps are not complying with the GDPR in terms of their privacy notices and tracking practices. The study also shows that these apps activate 3.8 trackers on average right after they are installed and opened by the user, even if the user does not engage with the privacy notice.

Presenting their findings at the CHI 2021 Conference, taking place on May 8-13, Dr Mehrnezhad and Dr Almeida warn that the approach of these apps to user privacy has implications for reproductive health, and rights.

Dr Mehrnezhad said: "Users of these apps are normally women who are considered marginalised user groups and the data concerning these groups is personal, more sensitive, and identified by GDPR legislation as 'special category data' requiring extra protection."

Dr Almeida added: "Data are kept in such a vulnerable condition, one in which a default setting allows not only for monetizing data but also to sustain systems of interpersonal violence or harm, such as in cases of pregnancy loss or abortion, demands a more careful approach to how technology is designed and developed.

"While digital health technologies help people better manage their reproductive lives, risks increase when data given voluntarily are not justly protected and data subjects see their reproductive rights challenged to the point of e.g. personal safety."

The study shows that majority of these fertility apps are classified as 'Health & Fitness', a few as 'Medical', and one as 'Communication'. The authors argue that miscategorising an unsecure app which contains medical records as 'Health & Fitness' would enable the developers to avoid the potential consequences, for example, of remaining in the app market without drawing significant attention to it. This means that fertility app data could continue to be sold to third parties for a variety of unauthorised uses, such as advertising and app development.

The team is currently looking into the security, privacy, bias and trust in IoT devices in Femtech. In light of their research, these researchers are calling for more adequate, lawful, and ethical processes when dealing with this data to ensure women get protection for the intimate information that is being collected by such technologies. They advise to seek to improve the understanding of how marginalised user groups can help to shape the design and use of cybersecurity and privacy of such technologies.

Maryam Mehrnezhad, Teresa Almeida.
Caring for Intimate Data in Fertility Technologies.
In CHI Conference on Human Factors in Computing Systems (CHI '21), 2021, doi:.10.1145/3411764.3445132

Most Popular Now

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...

ChatGPT Extracts Data for Ischaemic Stro…

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must...

Experts Propose Specific and Suited Guid…

Current Artificial Intelligence (AI) models for cancer treatment are trained and approved only for specific intended purposes. GMAI models, in contrast, can handle a wide range of medical data including...