For a physician in Manila, the end of a long day in the clinic often means the start of another shift. The work of translating patient consultations into structured clinical notes, prescriptions, and insurance paperwork can consume hours, time that is both uncompensated and a leading contributor to burnout. BetterClinic, a healthtech startup based in the Philippines, is betting that an AI medical scribe can change that equation, automating the administrative load that falls between patient visits.
Founded by Jay Fajardo, the company has built a software platform designed to listen to doctor-patient conversations and generate the required documentation [LinkedIn]. Its core proposition is a familiar one in digital health, but its focus is specific. BetterClinic is not chasing the US or European markets where large, well-funded AI scribe companies already compete. Instead, it is building for the workflows, languages, and regulatory environment of Filipino healthcare professionals [e27].
A Wedge Into Allied Health
The company's initial wedge appears to be the allied health sector, a broad category that includes nutritionists, physiotherapists, psychologists, and speech therapists. For these solo practitioners and small clinic supervisors, the administrative burden of appointment scheduling, client records, and billing can be particularly heavy. BetterClinic's platform, as described in its public materials, offers a suite of tools to manage these operations, with the AI scribe positioned as a core feature for automating clinical notes [BetterClinic].
This is a pragmatic starting point. The standard of care for documentation in many of these practices is often manual, fragmented across paper files, spreadsheets, and basic word processors. The process is not just tedious; it is error-prone, especially when translating consultations into the specific formats required for insurance reimbursement. BetterClinic's pitch is one of efficiency and accuracy, promising to free clinicians from the keyboard and back to their patients.
The Regulatory and Competitive Landscape
Operating in the Philippines presents a distinct set of challenges and opportunities. The regulatory pathway for clinical AI tools is less defined than in markets like the United States, where FDA clearance for software as a medical device sets a high bar. This could allow for faster iteration and deployment. However, it also means the burden of proving clinical accuracy and data security falls entirely on the company's shoulders and the trust of its early adopters.
The competitive field is also different. While global players like Nuance and newer AI-native scribes exist, their focus and pricing are often calibrated for Western healthcare systems. BetterClinic's potential advantage lies in its regional focus, building for local billing codes, common local languages, and the specific pain points of clinics operating with thinner margins.
Key questions for the company's trajectory include:
- Clinical validation. Without a peer-reviewed study or public case data, the accuracy of its AI-generated notes in a live clinical setting remains unproven.
- Data sovereignty. Handling sensitive patient health information in the cloud requires robust, locally compliant security protocols, a non-trivial engineering and legal hurdle.
- Commercial traction. The public record shows no disclosed funding rounds, customer names, or user metrics, making it difficult to gauge early market adoption [Crunchbase].
What Success Looks Like for Patients
Pulse Raman's signature move: Always names the disease state and patient population. Includes one paragraph on what the standard of care looks like today.
The patient population here is not defined by a single disease, but by a systemic condition: administrative burden. The users are the clinicians themselves,overworked physicians, physiotherapists, and psychologists across the Philippines for whom documentation is a nightly tax on their capacity to care. The promise of an AI scribe is not merely time saved; it is the potential reduction in cognitive load and the prevention of documentation-related errors that can affect patient safety and reimbursement.
The standard of care today is largely analog or digitally fragmented. A consultation ends, and the clinician must manually transcribe notes, often hours later from memory, into a SOAP (Subjective, Objective, Assessment, Plan) format. Prescriptions are handwritten or printed from a separate system. Insurance claims require manually collating codes and notes into another form. This disjointed process is where mistakes are introduced and hours are lost. BetterClinic's bet is that a unified, AI-assisted platform can streamline this entire post-consultation workflow, creating a coherent digital record from the moment the patient walks in until the claim is submitted. If it works, the impact would be measured not in technological novelty, but in hours given back to care.
Sources
- [LinkedIn] Jay Fajardo - BetterClinic | https://www.linkedin.com/in/jayfajardo/
- [e27] BetterClinic - e27 Startup Profile | https://e27.co/startups/betterclinic/
- [BetterClinic] BetterClinic - Best Clinic Management Software | https://www.betterclinic.app/features
- [Crunchbase] BetterClinic - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/betterclinic