For chronic-care teams, a digital therapeutic proposal should begin with a defined population, an intended role in care and product-specific evidence. This guide considers pathway fit, follow-up responsibilities and evidence review. The separate XR delivery article covers immersive interfaces and the practical conditions of a session.
Prepare a product evidence and pathway record
For each candidate product, record its intended use, target population and the evidence supplied for that particular version. Ask the clinical owner to review whether the studied setting and outcomes match the proposed pathway. Do not transfer evidence from a different app or from digital technology in general.
Map enrollment, support, review points and discontinuation to the existing service. Identify who checks incoming information and what happens when someone stops using the product. Include staff workload and accessibility in the assessment alongside the outcomes the clinical team chooses to evaluate.
What Are Digital Therapeutics?
Digital therapeutics are software-based medical treatments that use technology—such as apps, algorithms, behavioral science, AI, and remote monitoring—to prevent, manage, or treat medical conditions. They must be clinically validated and often undergo regulatory approval.
Digital therapeutics differ from general health apps by being:
Evidence-based
Prescribed or clinician-endorsed
Built on medical protocols
Outcome-focused
Able to treat specific conditions
They are part of the larger movement toward AI-enhanced care—explored in how AI in healthcare is improving patient support, but with a direct therapeutic purpose.
How Digital Therapeutics Work?
Digital therapeutics combine several technologies to deliver personalized, evidence-based therapy.
Key components include:
1. Behavioral Science Models
DTx programs use CBT (cognitive behavioral therapy), habit-loop frameworks, and motivational psychology.
