Addictive mHealth Apps

I first fell in love with the Center for Connected Health when I attended their Connected Health Sympoisum a few years back. The organization is run by Joseph Kvedar who is one of my favorite thought leaders when it comes to mobile health. He’s optimistic, but pragmatic in his approach to mobile health. Plus, he’s not afraid to be transparent in his thoughts and approach to using technology to improve health. A great example of this was his recent blog post titled “Could Mobile Health Become Addictive?

The answer to his question is yes, but there’s so much more to the article. I particularly love his changing view of the value of mobile health applications versus something like a simple text message. No doubt there has been some “irrational exuberance” around mobile health applications. While the energy has no doubt outpaced the results, that shouldn’t discount the potential of mobile health applications.

Joseph Kvedar points out in his article that “those of us who own smart phones check them obsessively (by some counts 150 times/day).” No doubt many cell phone users are addicted to their cell phones. I’m not sure all the neuro chemical responses that we get from cell phone usage, but I’ve felt the endorphins kick in when you have a new message on your cell phone. This addiction probably also explains phantom vibration or phantom ringing.

The real question is how can we apply this type of addictive response to healthcare apps? Plus, how can we make sure that it becomes a healthy addiction. We’ve all heard of the person who’s too addicted to fitness or too addicted to self monitoring that it becomes unhealthy. There’s definitely a balance, but I’m sure that the day will come that mobile health apps are as addictive as a text message. I’ve started to see glimpses of it in the current mobile health offerings, but we’re not there on a widespread scale yet.

What mobile health applications or types of applications do you see that are headed down this path?

August 26, 2013 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 15 blogs containing almost 6000 articles with John having written over 3000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 14 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John launched two new companies: InfluentialNetworks.com and Physia.com, and is an advisor to docBeat. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: and and .

5 Types of Medical Apps to Avoid

We’re obviously big proponents of the use of mobile apps in healthcare. For example, we recently listed the top medical apps, and we’ve even written about insurance companies reimbursing medical apps. These are all important trends in mobile health and we’re going to see more and more of it in the future.

The problem is that along with all of the good mobile health applications out there, there are also plenty of scammers making false claims about the medical value of their application. These should be avoided.

Mashable worked together with Joseph Kvedar from the Center of Connected Health to create a list of apps you should avoid:

1. Apps That Use Your Phone’s Light
2. Spot-Checkers
3. Cures From Sound
4. Insulin Dose Calculators
5. Treatment Testers

It’s sad for me to think that people somehow think the light on their phone or the sound on their phone has medical value. It’s amazing what will fool some people. Plus, I have little doubt that we’ll see even more pernicious and difficult to detect mobile health app scams.

A quote from Dr. Misra from iMedicalApps sums up the issue well, “Any app that claims to treat a disease of any kind should raise red flags upfront.” Consult your doctor if you’re not sure.

July 12, 2013 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 15 blogs containing almost 6000 articles with John having written over 3000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 14 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John launched two new companies: InfluentialNetworks.com and Physia.com, and is an advisor to docBeat. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: and and .

ROI Calculator for Heart Failure Monitoring

I’m in love with any tool that tries to understand the benefits of using healthcare IT. So, I’m completely intrigued by what the Center for Connected Health, Center for Technology and Aging, and the Carlifornia Healthcare Foundation are doing with this ROI Calculator for Heart Failure Monitoring.

Here’s a description of what they’re doing:

The Center for Technology and Aging (CTA) and the Partners HealthCare Center for Connected Health (CCH) developed a return on investment (ROI) evaluation tool to help health care organizations assess the intrinsic financial costs and benefits of RPM technologies. Aggregate findings from this evaluation will be used to identify the benefits of RPM technologies for patients, providers, and family caregivers; strategies for program deployment; lessons learned; and program outcomes, including program ROI.

Check out the step by step analysis of the ROI of such a program. I’d love to hear what others think of the tool.

July 8, 2013 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 15 blogs containing almost 6000 articles with John having written over 3000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 14 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John launched two new companies: InfluentialNetworks.com and Physia.com, and is an advisor to docBeat. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: and and .

New Technology Being Designed to Better Diagnose Mental Health Problems by Observing Emotions

Sometimes, when a patient suffering from a mental illness talks with their doctor, they may say that everything is going well, even if it’s not. How does a doctor know if this information is correct or not? Without talking with a family member or close friend, it might be hard. According to mhimss.com, “the premise behind a new wave of startups and entrepreneurs looking to make an impact in healthcare” is mobile technology that will, essentially, be able to analyze emotions through a variety of factors, such as vocal, visual, and psychological cues. The hope is for this analysis of emotions will be administered a long side other vital signs.

The article at mhimss.com said that upwards of 85 percent of people who are “diagnosed with a chronic condition aren’t correctly diagnosed with depression.” And of those that are experiencing depression, less than 1/4 are getting the correct treatment for their condition. This technology that is being developed will hopefully help with this problem.

There have been several companies developing different things. One company, Cogito, is focusing on “vocal clues in phone conversations or visual signals in face-to-face meetings.” Another company, Affdex, are using webcams to read facial expressions. Other systems that will be available will involve mobile sensors that will sense physiological responses to different situations.

While these innovations will hopefully help better diagnose people and monitor their condition, it is important to remember that the technology is not a lie detector or mind reader, said Joshua Feast, CEO of Cogito:

What this technology can do is replicate the observations of an observer. You’re focusing on how people speak and interact, not what people say.

Love this idea. I could see how it could be extremely useful. I mean, if it’s mobile and can monitor someone for a long period of time, that would probably a lot more accurate in determining a person’s mental status than just visiting with them for a few minutes, as some doctors might. I couldn’t believe that so many people are mis-diagnosed and given the wrong treatments for mental illnesses. Having known many people with mental illnesses, I have observed  how people act when they have the correct treatment versus one that might not be quite right. It’s drastic. The companies that are developing these sensors and monitors could help increase the quality of life for patient’s dramatically if the technology actually works. With so many developments coming forth with medical technology, I agree with what Dr. Joseph Kvedar, the founder and director of the Center for Connected Health, said.

It’s the dawn of time for that particular technology. There’s so much sensitivity to the role that mental health plays in our healthcare.

The possibilities are endless. Feast said that he could see it being used to diagnose PTSD and mental disorders, to spotting stress in employers and preventing work-burnout before it begins. I’m very excited to see where this goes in the near future and makes me grateful that we live in a time where so many developments for the bettering of life are being made.

June 28, 2012 I Written By

Katie Clark is originally from Colorado and currently lives in Utah with her husband and son. She writes primarily for Smart Phone Health Care, but contributes to several Health Care Scene blogs, including EMR Thoughts, EMR and EHR, and EMR and HIPAA. She enjoys learning about Health IT and mHealth, and finding ways to improve her own health along the way.