Making doctors 2x more efficient with AI note-taking & charge capture

We’re on a mission to leverage AI and voice technology to solve inefficiencies and revenue leakage in our healthcare system. With the rise of EHRs, the manual documentation burden on doctors has never been higher, leading to burnout and fatigue and high attrition rates. Assigning the correct diagnosis and billing codes is crucial for proper reimbursement and patient care, but medical coding is becoming more and more complex each year with growing numbers of codes (over 145,000 now), and doctors are unsupported by current technology to keep up with its ever increasing requirements. $125 billion is left on the table each year by healthcare organizations due to improper documentation and coding. Knowtex creates visit notes with up-to-date and accurate reimbursement codes from doctor-patient conversations, allowing the doctor to focus on patient care and preventing revenue leakage for hospital systems through standardized, transparent, and accurate documentation.

Team Size:
Location:San Francisco

Active Founders

Caroline Zhang

Caroline is the CEO of Knowtex. Before Knowtex, she worked in biomedical research at the Salk Institute of Biological Studies, investment banking at Morgan Stanley, and AI research and policy initiatives at Schmidt Futures. Caroline graduated from Stanford University with her master’s degree in Computer Science (concentration in AI), and an undergraduate degree in Economics with a minor in International Relations.

Caroline Zhang
Caroline Zhang

Jocelyn Kang

Jocelyn is the CTO of Knowtex. Before Knowtex, she worked at several startups in a variety of positions ranging from product manager to product designer to software engineer. She was a founding member of the product team at Learn to Win and has worked on AI/ML teams. Jocelyn graduated Phi Beta Kappa and Summa Cum Laude from Stanford University while pursuing an interdisciplinary degree in CS + Linguistics/Psychology, and a minor in Philosophy.

Jocelyn Kang
Jocelyn Kang

Company Launches

👋 We’re Jocelyn and Caroline, the co-founders of Knowtex!

tldr; Knowtex automatically creates visit notes with billing codes from doctor-patient conversations. We built our ML solution in under two months and are working with healthcare organizations to save doctors time and prevent revenue leakage from improper documentation and coding. Our ask is for help connecting with private clinics (with 8+ doctors) in any specialty, digital healthcare companies with providers, and PE firms with medical roll-ups.

The Problem:

Doctors are spending more time on taking notes than seeing patients, and aren’t taught how to code their notes optimally for proper reimbursement. This leads to physician burnout and revenue leakage for healthcare organizations (up to $125 billion a year in the US).

Our Solution:

Knowtex creates visit notes with the proper codes for reimbursement automatically from doctor-patient conversation.

(The automatically generated note output from a conversation Caroline had in real-time with a cardiologist!)

Wait, doctors code?

We’re not talking about software coding, but medical coding, which means assigning the right diagnostic (ICD-10) and procedural codes (CPT) to a note to allow a claim to be created and submitted to insurers for appropriate payment. Correct coding is also critical for demographic assessments and studies of disease prevalence, treatment outcomes and accountability-based reimbursement systems.

With Knowtex, we can cut the time doctors currently spend on admin work in half, and allow them to focus on what they love: patient care.

Our Team

We met day one of Stanford freshmen year. Caroline received her master's degree in Computer Science concentrating in AI and an undergraduate degree in Economics (in just 4 years!). Jocelyn received an interdisciplinary degree in CS specializing in Linguistics and has worked at startups in a variety of positions including leading AI/ML teams.

After graduating during the COVID-19 pandemic, we wanted to apply our technical skills to build solutions for our healthcare system. We heard about the problem of physician burnout from medical documentation, and became medical scribes ourselves to experience it firsthand. We’re the only medical scribes in the world with AI/ML backgrounds, making us uniquely positioned to build this solution for doctors.

Our Ask

We’re looking to partner with

  • private clinics that have 8+ doctors in any specialty
  • digital health companies that offer healthcare provider services (ex. hybrid and virtual care, telemedicine platforms)
  • private equity companies with medical roll-ups

Here’s a quick blurb you can send them about us:

Knowtex reduces physician documentation burden and increases coding efficiency and accuracy by automatically creating visit notes with billing codes from doctor-patient conversations. Our software captures natural conversation, identifies relevant medical information, and generates a pre-filled, structured note with ICD-10 and CPT codes for physician sign-off.

Founders Caroline and Jocelyn are Stanford CS grads who specialized in AI and previously worked as medical scribes. We're looking to speak to healthcare organizations to understand more about their doctors’ documentation workflows and coding requirements, and explore partnership opportunities with our product. You can reach us at founders@knowtex.ai.

Thank you!

- Jocelyn and Caroline

Company Photo

Company Photo