DocBot (Medical Coding AI)

Irvine, California, United States All United States companies → — Founded 2013

Imaging AI Specialist Revenue Cycle / Billing Specialty-Focused AI

Series A

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DocBot (Medical Coding AI)

Medical Billing & RCM

DocBot is a HIPAA-compliant AI assistant that helps physicians generate accurate diagnosis codes, avoid audits, and increase RAF scores by analyzing patient notes.

Free tier available

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About DocBot (Medical Coding AI)

DocBot (Medical Coding AI) is an AI-powered medical coding assistant designed to help physicians generate accurate diagnosis codes, boost Risk Adjustment Factor (RAF) scores, and reduce audit risks. The platform utilizes natural language processing (NLP) and machine learning (ML) to analyze charts and clinical documentation, automatically identifying missed diagnoses, Hierarchical Condition Category (HCC) codes, and revenue opportunities.

This AI assistant aims to process complex medical data with high accuracy, typically achieving 95–98% coding accuracy, which surpasses traditional human reviewers. By identifying missed HCCs and documentation gaps, DocBot helps ensure a complete capture of patient complexity, leading to higher Medicare Advantage and Accountable Care Organization (ACO) reimbursements, potentially improving net revenue by 10–30% per patient annually.

Beyond retrospective analysis, DocBot AI can conduct real-time chart audits during patient encounters, suggesting diagnoses that providers might have overlooked and flagging documentation gaps before claim submission. It also automates compliant HCC coding to the highest level of specificity and is noted as the only publicly available ACA risk adjustment model online that shows ACA tiered risk across various plans.

Focus Areas

Gastrointestinal (GI) disease detection real-time image analysis polyp detection Barrett's Esophagus esophageal cancer stomach cancer inflammatory bowel disease (IBD) ulcerative colitis automated reporting clinical workflow automation AI-assisted endoscopy computer vision machine learning deep learning

Business Intelligence

Technology

UltivisionAI software platform (AI, computer vision, machine learning, deep learning)

What Physicians Need to Know

Gastrointestinal (GI) Specialization

DocBot focuses exclusively on GI diseases, offering specialized AI for the detection of conditions such as polyps, Barrett's Esophagus, esophageal cancer, stomach cancer, inflammatory bowel disease (IBD), and ulcerative colitis. This deep domain expertise ensures highly relevant and accurate support for gastroenterologists.

Real-time AI-Assisted Endoscopy

Their core strength lies in real-time image analysis during endoscopic procedures. This includes immediate polyp detection and analysis, providing critical support to physicians during live examinations, which can significantly enhance diagnostic yield and procedural efficiency.

Advanced AI & Computer Vision

Leveraging cutting-edge computer vision, machine learning, and deep learning technologies, DocBot's AI models are trained to identify subtle anomalies and patterns in endoscopic images that might be challenging for the human eye, thereby improving diagnostic accuracy and consistency.

Clinical Workflow Automation

DocBot streamlines clinical operations through automated reporting and workflow automation. This reduces the administrative burden on physicians, allowing them to focus more on patient care rather than tedious documentation, and ensures consistent, high-quality reports.

Physician Tip

For physicians considering or using DocBot: n1. **Focus on Real-time Augmentation**: Leverage the real-time image analysis during endoscopy to augment your diagnostic capabilities, especially for subtle lesions or in challenging cases. n2. **Streamline Documentation**: Utilize the automated reporting features to reduce post-procedure administrative time, ensuring comprehensive and standardized reports. n3. **Enhance Training & Consistency**: Consider how DocBot's AI can serve as an educational tool for trainees or help standardize diagnostic approaches across a practice. n4. **Provide Feedback**: As with any AI tool, providing feedback on its performance in your specific clinical context can help refine and improve its accuracy over time. n5. **Integrate Thoughtfully**: Ensure seamless integration into your existing PACS and EHR systems to maximize workflow benefits and minimize disruption.

Effective integration with existing Electronic Health Record (EHR) systems, Picture Archiving and Communication Systems (PACS), and endoscopy equipment is crucial for DocBot to deliver its full value. Seamless data flow ensures that AI insights are readily available within the clinical workflow and that automated reports populate patient records accurately and efficiently.

At a glance

Founded 2013

HQ Irvine, California, United States · United States

CEO Andrew J. Ritter

Funding Series A

Products 1

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Products by DocBot (Medical Coding AI)

1 product in the directory

DocBot (Medical Coding AI)

Medical Billing & RCM

DocBot is a HIPAA-compliant AI assistant that helps physicians generate accurate diagnosis codes, avoid audits, and increase RAF scores by analyzing patient notes.

Free tier available

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Press & Coverage

Business Wire

Docbot Closes Series A Financing Led by Khosla Ventures and Appoints Andrew J. Ritter as CEO

Docbot, an AI technology company focused on gastrointestinal disease, announced the closing of an oversubscribed $4 million Series A funding round led by Khosla Ventures, bringing its total raised to $8.5 million. The company also appointed Andrew J. Ritter as CEO, with co-founder Andrew Ninh transitioning to Chief Strategic Officer.

2021-05

Fierce Biotech

Gastrointestinal AI developer Docbot nets new CEO, series A funding for clinical trials

Docbot secured $4 million in Series A funding and a new CEO, Andrew Ritter, to advance clinical trials for its real-time AI programs designed to detect potential cancers during colonoscopies. The company's UltivisionAI platform aims to spot diseases across the entire GI tract.

2021-05

Mercom Capital Group

Docbot Raises $4 Million for Clinical Decision Support Platform

Docbot closed a $4 million Series A round, led by Khosla Ventures, for its UltivisionAI software platform, which uses AI for real-time computer vision and machine learning detection in GI disease. The new capital will be used to advance clinical trials and seek FDA clearance.

2021-05

Becker's ASC Review

Docbot raises $4M in series A funding, appoints new CEO

AI company Docbot announced a $4 million Series A funding round and the appointment of Andrew Ritter as CEO. The funding will support clinical trials and FDA clearance for its UltivisionAI device, which uses AI to detect gastrointestinal diseases.

2021-05

UCI Beall Applied Innovation

Docbot Exits Y Combinator, Receives $2.045M in Funding

Docbot, a UCI Applied Innovation startup, exited Y Combinator after securing $2.045 million in seed funding from investors including Khosla and BOLD Capital Partners. The funding will support clinical trials focused on real-time colon polyp detection and Barrett's Esophagus.

2019-05

International Journal for Research in Applied Science & Engineering Technology (IJRASET)

DocBot AI as Your Personal Health Assistant: Bridging the Gap in Consultations Revolutionizing Healthcare Using Natural Language Processing and Artificial Intelligence - IJRASET

This paper explores the DocBot Chat Bot/AI system as a novel solution for acquiring accurate and personalized health information, aiming to revolutionize healthcare information dissemination through AI algorithms and natural language processing. The system focuses on comprehensive health issue analysis and informed decision-making.

2024-09

ResearchGate

AI in Medical Coding: Transforming the US Healthcare System - ResearchGate

This paper analyzes the potential of AI and automation to transform medical coding, discussing underlying technologies like machine learning and natural language processing. It identifies significant positive outcomes, including reduced claim denial rates and increased coding throughput, while also addressing challenges like algorithmic bias and data privacy.

2025-09

ResearchGate

Medical Diagnosis and Treatment Recommendations (Doc-Bot) using Large Language Models - ResearchGate

This paper presents the development of a healthcare system, Doc-Bot, that combines machine learning with large language models like GPT-3 and GPT-4 to address various medical queries, predict diseases, and offer treatment recommendations. The system achieved 85% accuracy in preliminary diagnoses and 92% relevance in answering general medical queries.

2025-02

Frequently Asked Questions

How does DocBot's AI assist in GI disease detection and real-time image analysis during endoscopy?

DocBot leverages advanced computer vision and deep learning algorithms to analyze endoscopic images in real-time, identifying subtle anomalies indicative of GI diseases. This AI-assisted endoscopy helps physicians detect polyps, inflammation, and other suspicious lesions more consistently and efficiently during procedures.

What specific GI conditions, like polyps, Barrett's Esophagus, or early cancers, can DocBot accurately detect, and what is its reported accuracy?

DocBot's AI is trained to identify a range of critical GI conditions, including various types of polyps, early signs of Barrett's Esophagus, and suspicious areas potentially indicating esophageal or stomach cancer. Our system aims for high sensitivity and specificity, with detailed performance metrics available from our clinical validation studies.

How does DocBot integrate into existing clinical workflows, and what kind of automated reporting does it provide?

DocBot is designed for seamless integration with most existing endoscopy systems and electronic health records (EHRs), minimizing disruption to current clinical workflows. It automates the generation of comprehensive procedure reports, including lesion characteristics, locations, and suggested coding, significantly reducing manual documentation time.

What are DocBot's compliance standards (e.g., HIPAA, FDA/CE Mark) and how does it ensure data security and patient privacy?

DocBot adheres to stringent regulatory compliance standards, including HIPAA for patient data privacy and security, and is pursuing necessary FDA clearance and CE Mark certification for medical device classification. We employ robust encryption, access controls, and de-identification protocols to safeguard all patient information.

What is DocBot's pricing model, and what level of technical support and training is offered to healthcare providers?

DocBot offers flexible pricing models, typically subscription-based, tailored to the volume and specific needs of your practice or institution. We provide comprehensive onboarding, ongoing technical support, and dedicated training for physicians and clinical staff to ensure optimal utilization and integration of our AI solution.

Can DocBot's AI differentiate and assist in the diagnosis and monitoring of inflammatory bowel diseases like Ulcerative Colitis?

Yes, DocBot's computer vision capabilities extend to identifying and quantifying markers of inflammation relevant to Inflammatory Bowel Disease (IBD), including Ulcerative Colitis. It can assist in assessing disease activity and extent, aiding physicians in more precise diagnosis and monitoring of treatment effectiveness.

What assurances can DocBot provide regarding company stability, future product development, and partnerships?

DocBot is backed by strong investment and a dedicated team of AI and medical experts, ensuring long-term company stability and continuous innovation. We are committed to ongoing research and development, regularly releasing updates and new features, and actively seek strategic partnerships to expand our capabilities and reach within the healthcare ecosystem.

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