Machine learning powers many of the services we regularly use, from personalized recommendations on Netflix and Spotify to voice assistants such as Siri or Alexa. In recent years, machine learning has gained momentum in healthcare due to the vast amount of available clinical, financial, and operational data. According to the MIT Technology Review, machine learning is a subfield of artificial intelligence (AI) that uses statistics to identify patterns in massive amounts of data. Due to its accuracy and ability to be refined and improved over time, machine learning can be used to predict medication non-adherence and improve the effectiveness of patient marketing, engagement, and patient support programs. In addition, it can be used to improve other clinical behaviors, such as therapy initiation and persistence.
Let’s talk about how machine learning can help address medication non-adherence:
Predicting Which Patients Have a Greater Risk of Medication Non-Adherence
Machine learning can improve medication adherence by making robust predictions about each patient’s risk of non-adherence. It does this by correlating the individual’s levels of medication adherence with thousands of data variables pulled from many different sources, including:
- Prescription data
- Medical claims data
- Historical program data
- Consumer behaviors
- Social determinants of health
These variable datasets provide the AI technology with multiple views of patient intent and are proven to be predictive of medication adherence—or lack thereof.
Predicting Which Patients Are Most Likely to Be Influenced
Once the AI identifies the patients with the highest risk of becoming non-adherent, it then targets the patients who are both at risk and whose behaviors can be influenced through proactive interventions and patient support programs. This allows healthcare organizations to effectively allocate resources by prioritizing patients who would benefit the most from a medication adherence intervention.
Targeting the Optimal Intervention Channel for Personalized Patient Engagement
Improving medication non-adherence isn’t just about targeting the right patients for each intervention. It’s also about knowing which channel is best suited to each individual. Research shows that omni-channel interventions are proven to influence patient behavior and boost patient engagement. Rather than playing a guessing game or simply sticking to one channel, AI and machine learning allow us to personalize interventions for every individual. There are numerous ways of intervening to improve medication adherence, and determining which method will be most effective is key to ensure the greatest impact.
Personalizing Messaging, Timing, and Frequency to Maximize Patient Engagement
From there, the AI takes it even further by determining the right messaging, timing, and frequency—so not only how to intervene, but also when and how often. For example, some patients may respond better to a short and sweet text message reminder to take their medications in the afternoon, whereas others may be more strongly influenced by a phone call, in-app notification, or email. Machine learning can tell us all of this and more, enabling pharmaceutical companies to customize their patient outreach by channel, content, and timing for the best possible patient engagement. Addressing medication non-adherence is just one example of how advancements in AI, machine learning, and predictive analytics are revolutionizing the way we approach patient interventions—not to mention countless other applications in healthcare. Leveraging the power of prediction and data-driven technology, healthcare organizations can deliver more effective, personalized, and cost-effective interventions, all with the ultimate goal of improving the patient experience, medication adherence, and patient outcomes. The AllazoHealth AI platform is designed to drive lasting behavioral changes and get smarter and more effective as it goes.
Curious about how AI and machine learning can be used to make better decisions for therapy initiation and medication adherence? Schedule a demo to learn more about our AI technology.