Researchers Uncover Security Issues with Health Apps for Dementia Patients

Use caution when entering personal health information into a convenient app on your mobile device, because not all apps are created equal when it comes to protecting your privacy, warns McLean Hospital and Harvard Medical School clinicians. In a recent paper, a team of McLean Hospital researchers reported that many health apps designed to assist dementia patients and their caregivers have inadequate security policies or lack security policies altogether.

The paper's senior author, Ipsit Vahia, MD, medical director of Geriatric Psychiatry Outpatient Services at McLean, said the research "represents a note of caution to researchers, clinicians, as well as patients and their families" who may be turning to health apps for assistance in managing conditions like dementia. Vahia, who co-authored the study with Lisa C. Rosenfeld, MD, a resident in the MGH/McLean Adult Psychiatry Residency Training Program, and John B. Torous, MD, of Beth Israel Deaconess Medical Center, believes the research "also points to a role for professional organizations and advocacy groups in helping educate mobile health consumers on how to best make decisions about using this technology."

For the paper, Vahia and his colleagues analyzed privacy polices of iPhone apps matching the search terms "medical + dementia" or "health & fitness + dementia." Focusing on apps that collect user-generated content, the researchers evaluated privacy policies based on criteria for how user-provided data were handled.

Of the 125 apps Vahia and his team reviewed, 72 collected user-generated content, but only 33 had privacy policies available. Through a review of policies detailing individual-level protections, the researchers found "a preponderance of missing information, the majority acknowledged collecting individual data for internal purposes, and most named instances in which user data would be shared with outside parties."

Based on the findings, Vahia said, "no one using an app for a mental health-related reason should assume that privacy and security measures are in place." He called on patients and caregivers to "pay attention to the type of information that they provide to the app, and try to understand what can be done with that information." This is particularly important for those with conditions such as dementia, he said, "where the persons using the app may be suffering from the disease and not fully understand privacy policies, even when they exist."

Vahia believes that health apps have tremendous potential for helping individuals with mental health concerns and their caregivers, but "in order for technology to realize its full potential in mental health, users need to feel confident about the security and privacy of the information that is collected." He said that "clinicians should educate themselves and their patients about issues related to the data collected" before recommending an app. Not doing so, he explained, "could be akin to prescribing a medication without being aware of or disclosing risks and side effects."

Lisa Rosenfeld, John Torous, Ipsit V Vahia.
Data Security and Privacy in Apps for Dementia: An Analysis of Existing Privacy Policies.
The American Journal of Geriatric Psychiatry , Volume 25 , Issue 8 , 873 - 877. doi: 10.1016/j.jagp.2017.04.009.

Most Popular Now

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...