Our digital platform makes it simple to collect and save all of the information required to fill a specialty prescription in one step; including pharmacy information, payer/prior authorization requirements, and relevant patient clinical history. ZappRx then enables healthcare providers, pharmacists, and payers to digitally interact with one another to fill a prescription, reducing the need for faxes and phone calls.

ZappRx for healthcare providers


Our platform streamlines what is currently a multi-step, manual prescribing process, often involving multiple platforms for each of several treatments, into a single, digitally-enabled format. This allows providers who treat complex conditions to focus more on patient care and less on the paperwork required for getting patients on therapy.


  • Digitally initiate the prescription enrollment process
  • Ability to populate information for a PA at the same time as prescribing a specialty drug
  • Digital patient consent
  • Prescription status tracking


  • Have more time to spend with patients, rather than on administrative hurdles.
  • Track the steps during the prescribing process for all prescriptions in one place.
  • Get notified when steps are complete, such as prior authorization.





“We spend our time differently now – we can spend more time communicating with patients.” – RN user




“We worry less about the prescription because we know someone else is watching out and will follow up, if needed.” – RN user




“I’m generally less stressed about my job. We don’t leave the office earlier, but we feel better.” – RN user


Competitive analysis

    • How many prescriptions were written for my brand? Other brands? By whom?

    • How many prescriptions were filled? Refilled?

    • Am I missing fills from when patients change insurance?

Time to Fill (TTF)

    • How quickly are my scripts being filled?

    • What and where are the bottlenecks?

    • What are payers doing to impact access? Pricing?

Real-world evidence

    • When, how, and why does my drug work?

    • What patients, biomarkers, and companion diagnoses predict performance?

    • How many prescriptions were abandoned by patients? Why?