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About

→ An ERP for Small to Mid-Sized Businesses

Concept

A new way to manage the patient–doctor relationship. In the long run, William Clinic aimed to be a platform that enabled doctors to attend to patients remotely with the assistance of artificial intelligence.

Target Market

William Clinic leveraged William Support to offer two interfaces. On the one hand, it provided a patient management service for clinics, on the other, the William system with a chat interface for patients.

Clinics

Clinics faced the challenge of having staff without technical expertise who could easily fall behind due to the rapid advancements in artificial intelligence. The assumption was that these clinics were aware of this gap and sought to make the most of AI technology. Additionally, today, there are “PMS” (Practice Management Systems) that are outdated but widely used in the industry because they contain embedded specialized knowledge that enables clinic management. William Clinic aimed to be a modern alternative to these PMSs.

Patients

William Clinic offered a chat interface powered by the clinic’s ERP system. A direct database connection enhanced William Support (a previous project) ‘s capabilities, enabling a white-label interface to answer specific questions tailored to the patient’s profile or medical history. To avoid handling personal data, an random ID is assign to each user, linked to an email address in the clinic’s database. Since there was no connection between sensitive data (such as names, addresses, or phone numbers) and conversations, it was impossible to link a person to their medical history.

Approach

Despite the combined functionalities offered by both platforms, the goal was to find a design partner willing to use the platform as a patient care service post-consultation. That is, the doctor would track patients on their platform, and the William Clinic ERP system would connect, allowing the doctor to offer a service to the patient after their consultation. The aim was to reduce the time each doctor spent attending to each patient (by answering treatment-related questions), assist doctors in educating their patients to make them more receptive to new treatments, and send reminders to patients.

Monetization

Being a B2B platform, there were many monetization alternatives, some of which included:

  • Cost Per Patient
    We charged a fee based on the number of patients using William. The dashboard itself was almost free for charge for me, and this fixed fee was sufficient to cover (on average) the platform’s per-patient cost.
  • Doctor-to-Patient Fee
    With a commission-based system, doctors could offer the product at an additional cost. The doctor served as the point of sale, while the patient was the final consumer. In return, the doctor received a percentage of each patient transaction’s sales, and the patient gained access to William’s enhanced capabilities through the PMS.
  • Installation and Support Fee
    The PMS platform was offered free of charge, with only an installation and support fee charged. Initially, this option did not include offering William Chat to the doctor’s patients—only the modern PMS platform, with the option to later upsell AI-powered features.
  • Licensing
    Another monetization approach was a licensing agreement. The challenge with this method was that the product needed to be solid, generalized, and specialized for each field of medicine.

Conclusion

At first, I loved the idea of William Clinic. It was the right idea at the right time. The problem was that there was no way to solve the most basic issues of this application—the workload and technical debt were beyond my capabilities at the time. Additionally, the cumulative approach of using William Support, while effective, was also a challenge, as bugs accumulated across applications.