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Knowtex

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.

Jobs at Knowtex

San Francisco, CA, US / Remote (US)
$40K - $70K
0.10%
3+ years
Knowtex
Founded:2022
Team Size:
Location:San Francisco
Group Partner:Surbhi Sarna

Active Founders

Caroline Zhang, Founder

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
Knowtex

Jocelyn Kang, Founder

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
Knowtex

Company Launches

Introducing Ambient Billing at Knowtex

At Knowtex, we’re excited to launch a new way to capture every billing opportunity with zero added effort. Knowtex is built to empower healthcare clinics and systems, turning real-time doctor-patient conversations into accurate ICD-10, CPT, and HCC codes. Our ambient, AI-driven billing solution helps clinicians avoid leaving revenue on the table—all while keeping them focused on patient care, not paperwork.

Medical coding is complex, and the rules and codes are constantly changing. Missed or inaccurate coding can dramatically impact a health system’s bottom line. That’s where Knowtex comes in. Knowtex is a clinician’s partner in revenue: capturing the full range of codes a visit is eligible for and keeping your documentation up-to-date with the latest standards. The result is an optimized, accurate billing workflow that catches every code, every time.

Unlike other solutions that simply analyze documentation to generate codes, we’ve spent the last two years developing Knowtex into a deeply integrated, personalized coding model based on the visit conversation that is tailored to clinicians and organizations. We create custom models trained on each clinic’s historic coding data so Knowtex tailors its suggestions to the unique needs of every clinician. This level of personalization allows Knowtex not only to generate accurate codes but also to prescriptively suggest coding updates that are finely tuned to the specific workflows and nuances of the practice.

Knowtex is a truly adaptive partner in coding at the point of care. It captures information correctly upfront and continuously improves and aligns with each clinic’s standards for maximized revenue and streamlined workflows.

Customer Results

One health system integrated Knowtex and observed significant improvement in revenue retention. With Knowtex identifying and correcting undercoded visits, they successfully capture approximately $92,800 per month in previously lost revenue.

One of our oncology practices with 50+ providers saw substantial improvement in billing outcomes with Knowtex. Before implementing Knowtex, their daily billing average was $7,101.60. Following integration, the mean daily billing rose to $7,893.70, an increase of almost $800/provider/day.

Features

🩺 Streamlined intelligent Code Selection

Our interface is designed for simplicity and speed and makes it easy for clinicians to confirm suggested codes instantly. As a clinician speaks with a patient, Knowtex listens, prompting relevant codes based on the conversation. For E&M codes, it analyzes encounter elements like time, medical decision-making complexity, risk, and data, guiding clinicians to the correct documentation with zero interruptions.

In addition to live prompting, Knowtex provides targeted suggestions to help clinicians optimize coding accuracy. When assessing complexity, risk, or data documentation, Knowtex offers text snippets to update E&M codes based on the conversation info and historic data. These snippets guide providers by suggesting personalized updates that increase documentation complexity where applicable.

For example, with MDM:

- Complexity: Knowtex can prompt providers to consider documenting any updates on the patient’s status under treatment with a pre-created snippet like “Patient is improving on current chemotherapy treatment but not yet at goal.”

- Risk: Knowtex may suggest inserting the text snippet, “reviewed liver function tests and discussed present chemotherapy effects with the patient,” to increase the documented level of decision-making complexity.

- Data: If the clinician reviewed imaging during the conversation, Knowtex will identify this and suggest a clearer way of documenting it: “CT images were personally reviewed and interpreted.”

These real-time, customized tips help clinicians capture all relevant information to substantiate the appropriate billing codes.

🔍 Accurate & Personalized Diagnosis Capture and Search

Imagine a clinician is treating anemia. Most physicians would code the patient with D50.9 (Iron deficiency anemia, unspecified). While this can be accepted by insurance and reimbursed, there can be more precise codes that would be a better choice based on the patient’s symptomatology and history.

Knowtex can capture and synthesize conversation and EHR data in real time as the clinician talks through symptoms and treatment with the patient to suggest precise ICD-10 codes like D63.1 (Anemia in chronic kidney disease).

We also provide intelligent search functionality for clinicians that surfaces the best and most detailed ICD-10 code based on the conversation detail and EHR information.

Knowtex makes sure every detail is captured without breaking focus for clinicians, especially in complex specialties like hematology and oncology. It’s a seamless experience that helps practices keep up with fast-evolving coding standards and prevent revenue leakage.

📊 Complimentary Financial Gap Analysis

We’re offering a free financial gap analysis to the first 10 new clinicians/organizations that sign up. Knowtex will deeply analyze your last 3 months of billing data and pinpoint specific opportunities where Knowtex can capture missed revenue through optimized documentation and code selection.

Users will also get free full access to our state of the art, customizable, ambient scribing solution for those three months.

Contact sales@knowtex.ai to learn more.

Thank you to our engineers Muhammad Khalifa, Andrea Green, and Azeem Ghumman for their work pioneering ambient billing at Knowtex.

Other Company Launches

Knowtex: Creating Visit Notes from Doctor-Patient Conversations

Making doctors 2x more efficient with automating note-taking & charge capture
Read Launch ›

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