Unlocking the Full Potential of Digital Health Apps with AI – Here’s How

Artificial intelligence (AI) is transforming the healthcare industry, offering new ways to improve patient outcomes and enhance the delivery of care. One area where AI has the potential to make a significant impact is in the development of digital health apps. In this blog post, we will explore the ways in which AI can be used to enhance digital health apps and improve the quality of care provided to patients.

  1. Personalized Recommendations

One of the key benefits of AI is its ability to analyze large amounts of data and provide personalized recommendations based on that data. In the context of digital health apps, this means that AI can be used to analyze a patient’s health data and provide personalized recommendations for diet, exercise, and medication management. By using AI to personalize recommendations, digital health apps can provide more targeted and effective care to patients.

  1. Predictive Analytics

AI can also be used to analyze patient data and predict potential health risks or complications. For example, AI algorithms can be trained to analyze patient data and identify patients who are at risk of developing a particular condition. This can enable healthcare providers to intervene early and provide proactive care, potentially preventing the development of more serious health problems.

  1. Virtual Assistants

AI-powered virtual assistants can provide patients with 24/7 support and guidance. These virtual assistants can answer questions, provide reminders about medication and appointments, and offer personalized recommendations based on a patient’s health data. By providing patients with constant support, virtual assistants can help to improve patient engagement and adherence to treatment plans.

  1. Improved Diagnosis and Treatment

AI can also be used to improve the accuracy and speed of diagnosis and treatment. AI algorithms can analyze patient data and provide healthcare providers with more accurate and timely diagnoses. This can lead to more effective treatment and improved patient outcomes.

  1. Remote Monitoring

AI-powered remote monitoring tools can help to improve patient outcomes by providing healthcare providers with real-time data on a patient’s health. For example, remote monitoring tools can be used to monitor a patient’s blood pressure, heart rate, and other vital signs. This data can be analyzed in real-time, and healthcare providers can be alerted if any abnormalities are detected. This can help to prevent complications and provide timely interventions.

AI has the potential to revolutionize the way digital health apps are designed and used. By leveraging AI, digital health apps can provide more personalized and effective care to patients, improve diagnosis and treatment, and enhance patient engagement and adherence to treatment plans. As AI technology continues to evolve, we can expect to see even more innovative uses of AI in digital health apps, leading to improved patient outcomes and a more efficient healthcare system.

This post was written by an AI, so we could say it’s its own opinion (I promted the AI to be opinonated)


  1. Personalized Recommendations
  • J. Kim, S. Lee, J. Lee, «Artificial intelligence in digital health: Current applications and future prospects,» Journal of Medical Systems, vol. 43, no. 8, p. 173, Aug. 2019. doi: 10.1007/s10916-019-1398-1.
  • Y. Chen, Q. Zhang, X. Xu, «A survey on personalized recommendation techniques for health information systems,» Journal of Biomedical Informatics, vol. 110, p. 103566, Apr. 2021. doi: 10.1016/j.jbi.2020.103566.
  1. Predictive Analytics
  • S. B. Kim, «Artificial intelligence in healthcare,» Journal of Korean Medical Science, vol. 35, no. 10, p. e92, Mar. 2020. doi: 10.3346/jkms.2020.35.e92.
  • S. S. Choi, Y. R. Cha, «Artificial intelligence in healthcare: Past, present and future,» British Journal of Anaesthesia, vol. 123, no. 2, p. 254-261, Aug. 2019. doi: 10.1016/j.bja.2019.03.023.
  1. Virtual Assistants
  • S. S. Maimon, S. M. Browning, «Virtual health assistants in healthcare: A systematic review and meta-analysis,» Journal of Medical Systems, vol. 45, no. 3, p. 38, Jan. 2021. doi: 10.1007/s10916-021-01743-8.
  • K. Patel, K. M. Vydareny, B. R. Patel, «Artificial intelligence in healthcare: Past, present, and future,» American Journal of Medicine, vol. 134, no. 1, p. 56-64, Jan. 2021. doi: 10.1016/j.amjmed.2020.05.025.
  1. Improved Diagnosis and Treatment
  • M. H. Bae, Y. J. Chang, H. J. Cho, «Current and future use of artificial intelligence in infectious diseases,» Journal of Infection and Chemotherapy, vol. 27, no. 1, p. 1-7, Jan. 2021. doi: 10.1016/j.jiac.2020.08.013.
  • J. Choi, J. Lee, «The development of artificial intelligence in medicine,» Journal of the Korean Medical Association, vol. 62, no. 10, p. 498-504, Oct. 2019. doi: 10.5124/jkma.2019.62.10.498.
  1. Remote Monitoring
  • Y. He, L. Wang, X. Zhang, «Artificial intelligence in remote monitoring of chronic diseases: A review of literature,» Telemedicine Journal and e-Health, vol. 26, no. 5, p. 571-582, May 2020. doi: 10.1089/tmj.2019.0191.
  • J. H. Lee, J. Lee, «Artificial intelligence in the era of COVID-19,» Journal of Korean Medical Science, vol. 35, no. 19, p. e167, May 2020. doi: 10.3346/jkms.2020.35.e167.

From Games to Health book summary

«From Games to Health: Lessons Learnt from the Video Games Industry» is a book that explores the potential for video games to be used in healthcare. The book draws on the author’s experience working in the video game industry and her subsequent work in healthcare. It discusses how the principles of game design can be applied to healthcare to improve patient engagement, motivation, and outcomes.

The book covers topics such as gamification, game-based learning, and the use of virtual and augmented reality in healthcare. It provides practical guidance for healthcare professionals and developers on how to design effective and engaging health games.

Overall, the book offers insights into how the video game industry can inform and enhance healthcare, making it a valuable resource for anyone interested in the intersection of gaming and healthcare.

What I´m up to now

I was in Utrecht, for Games For Health Europe, a few weeks ago, and had this great interview there. It gives me the opportunity to explain in detail about my company PlayBenefit, about Benergy (our first mobile app that’s about to come to life), and how I got until here 😉 Hope you enjoy it!

FDA expects to have a medical app guidance by end of 2013

The FDA (Food and Drugs Administration) expects to have a regulation for mobile health applications by the end of 2013. As they say, it will be restricted to those applications that are considered a medical device. Medical device apps include those that monitor the patient’s vital signs, as would be blood pressure or blood glucose.


Games for Health 2012!

On December 1st 2011 I started this blog. My second post was about an important initiative in which I really believed: the first edition of Games for Health Europe.

Now, several months later and after a lot of hard work, I have just found out that I will be a speaker in that congress. I can barely put into words what this oportunity means to me, being such a believer in the cause and the need. I thought that such an occasion deserved a peek preview on my blog, so here’s what I will be talking about in the Games for Health 2012 conference.


Digital evolution and different ways of seeing it


This is a very short post and not really thought, but I saw something and I wanted to share it with all of you, maybe you find it an interesting debate as well.

So I came across a widely spread video about the «Google Glasses» which is pretty cool, it’s like having a smartphone with voice recognition, GPS and so on but implemented on your glasses so it reproduces all the information you need instantly in front of your eyes instead of the mobile. Most of you will have seen this video before:


What is Gamification?

Gamification is a concept taken from video games and it refers to the use of game design techniques and game mechanics to turn tasks/work into a fun experience. Today we can find the gamification context applied pretty much everywhere, from social media, marketing, business, education, health… It’s used in different contexts to motivate users to shop, learn, work, etc.

This concept was born around 2004 to gain popularity in 2007 to become a trend in 2010. Even though it’s a concept that’s quite developed and studied nowadays, and that there are many who have managed to do wonderful things with it, there’s still many who think gamification is about adding a badge system and achievements. There are many examples of gamification, I’ll leave you with a couple less commercial which hit closer to home for many of us.


What is Exergaming?

A while ago we had a meeting-party with some nurses that are Twitter users (a Tweet party!) organized by the Innovation Technologies group which I’m part of, for the Official Nurse College in Barcelona. It was a great evening, I got to meet many great people that want and see the need to apply new technologies and their potential in hospitals, primary care centers and healthcare in general.

Towards the end, we all had our 5 minutes of glory to share what we were currently working on or our personal interest in ICT. When I mentioned my interest for exergaming platforms I saw many faces that were telling me they had no idea what it was, so I was encouraged to do a little entry on my blog about it.


Apps for smartphones

The Mobile World Congress opened the doors yesterday in Barcelona, this year with special attention in smartphone apps. Healthcare apps. are gaining importance and relevance in the sector and I’m sure they will surprise us with many novelties this 2012. To celebrate, I’ll share with you some of my favourite health apps.