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Precision Nudging and Patient Engagement: Using PHI to Improve Outcomes

January 20, 2023 • By Erik Kangas • In HIPAA Marketing, LuxSci Library: HIPAA

Precision nudging is a new buzzword in the patient engagement space. But what does it mean, and how does it apply to your email engagement efforts?

precision nudging email with PHI

What is Precision Nudging?

Forrester defines precision nudging as “the act of notifying or sending a message that prompts action by the patient to overcome patient-specific barriers to action at the right time and place for scalable, sustained behavior change.”

Precision nudging is a preemptive and proactive approach to patient communication. Reminding patients about appointments before they occur can ensure they do not miss important screenings and checkups. By receiving timely diagnoses and treatments, it saves money and improves health outcomes in the long term. Automating these processes at scale can streamline clinical communications and improve patient satisfaction. Beyond appointment reminders, there are many applications for this strategy.

Precision Nudging Strategies

The most critical part of precision nudging is delivering information to the patient at the correct time. Some common ways organizations are adopting precision nudging include:

  • Appointment reminders
  • Medication refill reminders
  • Pre and post-surgery instructions
  • Chronic condition education and resources
  • Mental health check-ins
  • Annual screening reminders

Sending notifications that nudge patients into taking necessary actions is a practical patient engagement strategy. Engaging with patients more frequently can build trust with the provider and encourage patients to take early action that improves their health. Precision nudging can prevent unnecessary visits to the hospital and ultimately drive down spiraling healthcare costs. So many unnecessary hospital admissions occur because patients do not understand or adhere to treatment plans. Nudging patients to change bandages, take medication, or get preventative screenings increases the likelihood of better health outcomes.

How to Use PHI in Precision Nudging

When communicating with patients about their healthcare, it’s essential to use a secure and encrypted communication channel. Regular texts and emails won’t cut it. 93% of patients prefer to communicate with their healthcare provider via email, so it’s wise to start there.

Also, make sure these messages are not locked behind a patient portal. Use TLS encryption to secure the email to make it as easy as possible to read and respond to, while staying in compliance.

Once you have determined your channel, determine your audience. It makes sense to start small. Maybe you want to encourage individuals who have skipped an appointment to reschedule or want to help people recently diagnosed with a chronic condition like diabetes better manage their condition.

Then, create your message. Make sure it is clear, concise, and has a simple call to action. Also, personalize it to fit the audience’s preferences. If the patient primarily speaks Spanish, provide a message in their native language.

Once you’ve established the proper cadence, you can expand your use cases to some examples above. Using a scalable and HIPAA-compliant platform like LuxSci’s Secure Marketing or Secure High Volume Email makes it easy to personalize, send, and review the results of these campaigns. Contact us today to learn more about how to incorporate precision nudging into your clinical communications efforts.

Erik Kangas

About Erik Kangas

With 30 years engaged in to both academic research and software architecture, Erik Kangas is the founder and Chief Technology Officer of LuxSci, playing a core role in building the company into the market leader for HIPAA compliant, secure healthcare communications solutions that it is today. An international lecturer on messaging security, Erik also advises and consults on email technology strategies and best practices, secure architectures, and HIPAA compliance. Erik holds undergraduate degrees in physics and mathematics from Case Western Reserve University, and a doctoral degree in computational biophysics from MIT.

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