For a decade, I have watched the healthtech landscape shift from digitising paper records to digitising the entire patient experience. While the move towards "digital-first" clinics offers significant benefits in terms of access and efficiency, there is a dangerous tendency to treat clinical workflows like e-commerce transactions.
If you are a product manager, clinical lead, or developer working in this space, you need to understand that when a patient visits a digital clinic, they are not "checking out a basket." They are navigating a complex, regulated pathway where a minor interface mistake can lead to a significant confidentiality breach or a failure in data security.
Mapping the Patient Journey: The "Default" Telehealth Entry Point
The patient journey has changed. The stackademic "front door" is no longer the reception desk; it is a landing page or an app. This shift fundamentally alters the clinic’s risk profile.
The Discovery: A patient lands on a clinic website seeking care. Eligibility Screening: The patient completes an online form to see if they qualify for treatment. The Consultation: The patient enters a telehealth waiting room for a video or audio call. Clinical Decision & E-Prescription: The clinician issues a prescription, which is transmitted to a pharmacy. Ongoing Governance: The patient receives automated reminders for medication renewals or follow-up consultations.At every one of these steps, the "e-commerce mindset"—where the goal is to remove friction—conflicts with clinical safety. In medicine, "friction" is often a necessary safeguard.
The Risk of Automated Eligibility Screening
Online eligibility forms are the first line of defence. However, they are frequently treated as simple surveys. When we design these, we often prioritise conversion rates over clinical safety. This is a critical workflow mistake.
If a patient self-reports their health history, the system must account for the fact that patients may misunderstand medical terminology or omit information, either accidentally or intentionally. If the logic behind your eligibility form is too simplistic, you risk "clearing" patients for treatments that are contraindicated by their undisclosed conditions. A robust system must cross-reference data against established clinical guidelines and, where necessary, trigger an automatic referral to a human clinician rather than relying on a binary "Yes/No" outcome.
Data Security and the "Bank-Level" Fallacy
I often hear vendors use the term "bank-level encryption" to describe their security architecture. It is a meaningless phrase that annoys me because it acts as a shortcut to avoid discussing actual data security practices.
Security is not a static state; it is an ongoing process of governance. When clinics move everything online, they create a target for data breaches. You aren't just storing names and addresses; you are storing sensitive medical history.
- Encryption at rest and in transit is the bare minimum, not a selling point. Access controls must be strictly audited—who is seeing this data? Audit logs should be immutable and monitored for anomalous behaviour. Interoperability must follow standards like HL7 FHIR to ensure that when data moves between the clinic, the pharmacy, and the patient’s own records, it doesn't leak or degrade.
If you aren't doing annual penetration testing and regular vulnerability scanning, your security claims are merely hand-wavy marketing.
Prescription Governance and the "Renewals Trap"
E-prescribing is a significant leap forward, but it introduces specific risks regarding oversight. When medication renewals are automated, there is a risk of "prescribing drift," where a patient remains on a medication without the appropriate oversight or monitoring that would usually occur in a face-to-face setting.
Digital clinics must implement rigorous prescription governance. This means the system should not just "renew" a prescription because the request was sent. It should verify:
- Has the patient had their required blood pressure check or blood test? Is the medication dose appropriate based on the last recorded clinical encounter? Is there a flagging mechanism for medication overuse or abnormal ordering patterns?
The Transparency Problem: Pricing
A common mistake I see in digital clinic content is a complete absence of pricing transparency. Patients are often led through an entire eligibility flow without any clear indication of the consultation cost or delivery fees associated with their medication.
In healthcare, trust is the currency. Obfuscating costs until the final stage of an onboarding process is not just bad UX—it is unethical. Patients need to be able to make informed decisions before they engage with a service. If your clinic has a pricing page, link to it early in the journey. Transparency about fees for consultations versus the cost of medication itself is vital for patient autonomy. Always consult the official pricing pages of your provider to ensure accuracy rather than burying costs in small print.
Checklist: What Could Go Wrong?
Before you launch or update your digital clinical workflow, cross-reference your design against this "failure checklist."
Workflow Stage Potential Point of Failure Mitigation Strategy Onboarding Patient lies on eligibility form Implement identity verification (IDV) and algorithmic cross-checking. Telehealth Connection drops during diagnosis Clear contingency protocols (e.g., telephone backup) before starting the call. Data Storage Unauthorized internal access Principle of least privilege (PoLP) and rigorous access logs. Prescribing Duplicate prescriptions Centralised record management and pharmacy integration check. Renewals Medication overuse Automated review triggers based on clinical interval dates.
Final Thoughts: A Call for Humility
The most important thing I have learned in my 10 years in this industry is that "digital" does not equal "better." It simply equals "different." When we move clinical services online, we are moving into a space where the constraints of physics (being in a room with a patient) are replaced by the constraints of code (the digital workflow).
If we treat these workflows with the same cavalier approach we use for retail, we will fail our patients. We must stop overpromising on what AI can do—it is not a replacement for clinical judgement—and start focusing on the boring, hard work of building secure, transparent, and legally compliant digital infrastructure.
Healthcare is not an e-commerce vertical. It is a trust-based ecosystem. Design for the worst-case scenario, ensure your security is verifiable, and always, always put the patient’s safety above the conversion rate.