Submission declined on 6 April 2026 by Wisenerd (talk). This draft appears to contain text generated by a large language model (such as ChatGPT). You cannot use LLMs to generate article content. LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice. These tools are prone to specific issues that violate our policies: hallucinations: they often invent false information and cite non-existent references. unencyclopedic tone: they tend to be vague, promotional, or essay-like, rather than neutral and factual. copyright issues: they may closely paraphrase existing text, leading to copyright violations. Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. See the advice page on large language models for more information. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by Wisenerd 2 months ago. Last edited by OpalYosutebito 25 days ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

Octagos Health is an American digital health company headquartered in Houston, Texas, specializing in artificial intelligence-powered cardiac remote monitoring. Founded in 2020 by cardiac electrophysiologist Shanti Bansal, the company develops a cloud-based platform that uses AI to triage data from cardiac implantable electronic devices (CIEDs), ambulatory monitors, and wearable cardiac devices.^[1][2][3]

As of 2025, Octagos monitors hundreds of thousands of active patients across more than 300 clinical locations in over 40 U.S. states and has processed over one billion cardiac device transmission pages.^[2][4][5]

Octagos Health was founded in 2020 by Shanti Bansal, M.D., a practicing cardiac electrophysiologist and founder of Houston Heart Rhythm, an atrial fibrillation center in Houston. Bansal founded the company after observing the data overload and alert fatigue clinicians face in cardiac remote monitoring, where large volumes of non-actionable device transmissions can obscure clinically significant findings.^[1][6]

In July 2024, the company raised over $43 million in a Series B funding round led by Morgan Stanley Expansion Capital, with continued participation from early-stage investor Mucker Capital.^[7][8] The funding was directed toward platform enhancements, workforce expansion, and extension into ambulatory monitors, consumer wearables, and sleep monitoring.^[7]

By 2025, Octagos had grown to approximately 250 employees, with plans to more than double its workforce over two years.^[4][9] In February 2026, the company's platform became available through the Microsoft Marketplace, enabling healthcare organizations to apply Azure Consumption Commitments toward procurement.^[10]

The core of Octagos Health's platform is Atlas AI, a proprietary artificial intelligence engine designed to analyze and triage cardiac device transmissions. The system employs what the company describes as a "Two-Brain Approach," combining AI-driven analysis with review by IBHRE-certified clinical specialists based in the United States.^[2][11]

A peer-reviewed study published in Heart Rhythm O2, an official journal of the Heart Rhythm Society, analyzed 384,796 transmissions from 67 device clinics over two years. The study found that of all transmissions analyzed by the platform, only 43% were forwarded to clinicians, with just 13% containing actual clinical alerts, suggesting a significant reduction in alarm fatigue.^[11]

The Octagos platform supports monitoring of pacemakers, implantable cardioverter-defibrillators (ICDs), cardiac resynchronization therapy (CRT) devices, implantable loop recorders, Holter monitors, mobile cardiac telemetry (MCT), and event monitors. The platform is vendor-agnostic, integrating with all major cardiac device manufacturers and electronic health record (EHR) systems using SMART on FHIR standards.^[2][3]

In May 2025, Octagos launched OctaLink, a mobile clinical companion application for iOS and Android that enables clinicians to review transmissions, receive AI-driven alerts, and complete e-signature workflows from mobile devices.^[12]

The company also offers OctaCare, a patient-facing mobile application that allows patients to track their cardiac device information, log symptoms, and access support contacts.^[13][14]

With over $43 million raised in its Series B round led by Morgan Stanley Expansion Capital, Octagos is one of the more well-funded independent cardiac remote monitoring companies in the United States.^[7][8] Other companies in the space include IDTFs and earlier-stage startups.^[8]

Octagos serves more than 300 clinical locations across over 40 U.S. states, making it one of the larger independent cardiac monitoring networks in the country. The company serves as a monitoring partner and research collaborator for healthcare systems and academic medical centers.^[2][4] This footprint spans private electrophysiology practices, multi-specialty cardiology groups, hospital systems, and academic medical centers. The breadth of the network provides a large and diverse dataset for the platform's analytical functions.

Unlike many competitors that focus on a single device type or data stream, the Octagos platform ingests and analyzes data across multiple cardiac monitoring modalities on a single unified platform:^[2][3]

• Cardiac implantable electronic devices (CIEDs) — pacemakers, ICDs, CRT devices, and implantable loop recorders
• Ambulatory monitors — Holter monitors, mobile cardiac telemetry (MCT), and event monitors
• Wearable cardiac devices — consumer and clinical-grade wearable ECG monitors
• Heart failure monitoring tools — dedicated workflows for heart failure device data

This multi-modality approach allows a single cardiology practice to consolidate all of its remote monitoring through one vendor, rather than managing separate platforms and workflows for each device type. The platform is also vendor-agnostic, supporting devices from all major manufacturers, whereas many competitors are tied to a single manufacturer's ecosystem.^[2][3]

The company's Atlas AI engine has been validated in peer-reviewed research published in JACC: Advances, demonstrating measurable improvements in triage accuracy and reductions in non-actionable alert volume compared to human-only review.^[11] A follow-up study published in JACC: Advances in 2025 further examined the role of artificial intelligence in reducing data overload from cardiac implantable electronic devices.^[15] The "Two-Brain Approach" — pairing AI-driven analysis with U.S.-based, IBHRE-certified clinical specialists — differentiates Octagos from competitors that rely on either purely manual technician review or unvalidated automation. Octagos also offers historical data migration from legacy monitoring providers, a capability that the company states is not widely available among competitors.^[2]

• In 2025, Octagos was named to TIME and Statista's list of the World's Top HealthTech Companies, as one of 400 companies recognized globally and the only remote cardiac monitoring company in the AI & Data Analytics category.^[17][18]
• Octagos was selected for the Microsoft for Startups Pegasus Program, an invitation-only initiative for high-growth companies advancing innovation in healthcare and AI.^[10][19]

Octagos Health has contributed to peer-reviewed research in cardiac device monitoring. A foundational study published in Heart Rhythm O2 validated the Atlas AI system as a scalable solution for reducing non-actionable cardiac device data while maintaining high sensitivity for clinically significant findings.^[11] The scale of the Octagos network and its multi-modality data have supported clinical research involving large, real-world patient populations. The company maintains a publications page listing additional research contributions in the field of cardiac remote monitoring.^[20]

• Remote patient monitoring
• Cardiac implantable electronic device
• Artificial intelligence in healthcare
• Alarm fatigue
• Digital health

• Official website
• Octagos Health on Morgan Stanley

Category:Digital health companies Category:Companies based in Houston Category:Health care companies established in 2020 Category:Artificial intelligence companies Category:Cardiac electrophysiology Category:Remote patient monitoring Category:American companies established in 2020