惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
博客园_首页
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 叶小钗
A
About on SuperTechFans
量子位
G
Google Developers Blog
云风的 BLOG
云风的 BLOG
T
Threat Research - Cisco Blogs
Spread Privacy
Spread Privacy
Hacker News - Newest:
Hacker News - Newest: "LLM"
N
News and Events Feed by Topic
C
Cybersecurity and Infrastructure Security Agency CISA
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
T
Tenable Blog
V
V2EX
月光博客
月光博客
L
Lohrmann on Cybersecurity
W
WeLiveSecurity
Webroot Blog
Webroot Blog
H
Hacker News: Front Page
酷 壳 – CoolShell
酷 壳 – CoolShell
T
The Exploit Database - CXSecurity.com
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
博客园 - 三生石上(FineUI控件)
T
Troy Hunt's Blog
Google Online Security Blog
Google Online Security Blog
AI
AI
腾讯CDC
Recent Commits to openclaw:main
Recent Commits to openclaw:main
Google DeepMind News
Google DeepMind News
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
V2EX - 技术
V2EX - 技术
Martin Fowler
Martin Fowler
博客园 - Franky
I
Intezer
Project Zero
Project Zero
I
InfoQ
P
Privacy International News Feed
C
Check Point Blog
T
The Blog of Author Tim Ferriss
P
Palo Alto Networks Blog
L
LINUX DO - 最新话题
有赞技术团队
有赞技术团队
Cloudbric
Cloudbric
人人都是产品经理
人人都是产品经理
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
S
SegmentFault 最新的问题
Latest news
Latest news
小众软件
小众软件

Show HN

GitHub - steveking-gh/firmion: Firmion is DSL and engine for firmware image generation. GitHub - villagesql/villagesql-skills: Agent skills for VillageSQL - gemini-cli-extension; claude-code-plugin GitHub - flightdeckhq/flightdeck: Observability and control plane for AI agents. CSP Radar GitHub - Light-Heart-Labs/DreamServer: Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. GitHub - Diplomat-ai/diplomat-agent-ts: What can your TypeScript AI agent do to the real world? Scan your code. See which tool calls have zero checks Code Block Selector - Visual Studio Marketplace Prometheus dependency graph — interactive showcase | Riftmap Show HN: I made a vi-like modal keyboard plugin for Figma GitHub - run-llama/liteparse: A fast, helpful, and open-source document parser GitHub - dalemyers/Roar: A macOS CLI tool for notifications GitHub - district-solutions/open-agent-tools-coder: Enables small-to-large self-hosted ai models to use local source code when running tool-calling agentic workloads. We actively data mine 20,900+ (2+ TB) popular github repos using large and small ai models to create reuseable: json, markdown and parquet files for local-first tool-calling models. GitHub - progapandist/stripeek: A local TUI proxy for real-time Stripe API debugging, built for navigating complex payloads fast. GitHub - sir1st/hermes-desktop: All-in-one cross-platform desktop app for Hermes Agent — bundles Python + hermes-agent + hermes-web-ui GitHub - astefanutti/shaderbang: Shebang for Shaders Show HN: Generate Claude Code Workflows using Spec Driven Development approach GitHub - nixys/nxs-universal-chart: The Helm chart you can use to install any of your applications into Kubernetes/OpenShift Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code. GitHub - tamerh/enju: Coordinating Humans, AI Agents, and Compute as Peers on a Shared Workflow Graph Show HN: Continuity-auth – Respect-weighted rate limits for the open web GitHub - luml-ai/luml: AI lifecycle platform where engineers and agents track experiments, train models, and ship to production. GitHub - mrdanielcasper/CoreTex: A UNIX-inspired, biomimetic, flat-file AI harness and knowledge engine. GitHub - clemg/pierre-github: Pierre's diffs.com and trees.software for Github GitHub - lyriks-io/unspaghettit: Behavior-driven AI development without prompt spaghetti. GitHub - sofumel/claude-handoff-revive: Resume Claude Code work after rate/usage/context limits without replaying the prior transcript. Auto-saves at 90%/95% usage. Plugin-installable, 10 languages. GitHub - dotexorg/saferpc: Typed, end-to-end encrypted RPC over any bidirectional channel. GitHub - BeeZeeAgent/beezee: Agent harness orchestration Legato Next.js Boilerplate for Internal Tools · CoreUI GitHub - clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings GitHub - ZeroPointRepo/youtube-mcp: The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. Typing Mastery — climb toward 100+ WPM, deliberately GitHub - Andebugulin/Awareen GitHub - fayzan123/claude-workflow-composer: Visual desktop app for composing multi-agent coding workflows. Drag agents, attach skills and MCPs, wire handoffs, export to .claude/ GitHub - harshaneel/humanize: Best static AI text humanizer. Two research-grounded skills that work in any LLM (Claude, ChatGPT, Gemini, Codex): humanize beats perplexity-based detectors, ai-check produces forensic scoring with evidence-quoted flags. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature. GitHub - StackOneHQ/stack-nudge GitHub - nodes-app/swift-markdown-engine: A native AppKit Markdown editor for macOS, built on TextKit 2 and bridged to SwiftUI. We hardened an LLM agent. Each defense we added made it more exploitable. GitHub - alkait/WhatsKept: Agent-queryable WhatsApp history from an iOS backup — a single Go binary. GitHub - octelium/cordium: Open-source, general-purpose sandbox platform for devs and AI agents that provides identity-based secure access to infrastructure without credentials. WAR.GOV/UFO Microfilm5 GitHub - scosman/videowright: Build animated explainer videos with your coding agent GitHub - dipankar/dscode: The code editor you can take apart. GitHub - zoharbabin/web-researcher-mcp: MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. GitHub - ruvnet/RuView: π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. GitHub - scanaislop/aislop: Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 7 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed. GitHub - kouhxp/cheap-im: CPU-only voice agent approximating Thinking Machines' Interaction Models demo GitHub - unprovable/OrchidMantis: Orchid Mantis — standalone framework for Zero-Knowledge Proofs of eXploit (ZKPoX). GitHub - MarcellM01/TinySearch: Shrink the web for your local LLMs! GitHub - TangibleResearch/Halgorithem: A Algo designed to detect AI Hallucitions GitHub - DO-SAY-GO/freelang: I love freelang GitHub - CarpseDeam/Aura-IDE: An AI coding harness that shaped itself - Planner/Worker agents, repo awareness, surgical edits, validation, recovery, and safe diff approvals. GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - tommyjepsen/awesome-ux-skills: UX & AI Product designs skills you can use today in Claude Code GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - kklimuk/docx-cli: CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks GitHub - Bajusz15/beacon: Open-source agent for secure remote access, monitoring, and deploys across home-lab and self-hosted machines like Raspberry Pi, N100, or any Linux server. Open web based TTY or tunnel Home Assistant and other local services securely without opening ports. BigTech AI News - Chrome 应用商店 GitHub - vinhnx/VTCode: VT Code is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management. GitHub - michaelaz774/decision-engine: A decision operating system for startup founders, powered by Claude Code. Synthesizes wisdom from 25+ legendary founders and investors into interactive AI-driven decision frameworks. GitHub - Chrilleweb/dotenv-diff: Validate environment variable usage in your codebase GitHub - Lumen-Labs/brainapi2: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications. GitHub - familiar-software/familiar: Let AI watch you work. Familiar lets your AI update its memory, skills, and knowledge by watching your screen. GitHub - skorotkiewicz/rudo: A small, elegant dock for Wayland GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. make sidebar/address bar rounded corner toggleable
Introducing the Substrate Eligibility Agent | Substrate
kunle · 2026-06-24 · via Show HN

Background

For many health care practices, eligibility-related denials are the most common denial category. In 2024, 24% of denials were caused by registration and eligibility. In our network, we’ve seen practices with eligibility based denials taking up as much as 35% of denials by claim count, and 60% by dollar value. Industry-wide front-end issues (eligibility, registration, prior auth, and coverage) account for roughly half of all denials.

These denials are mostly unrelated to the quality of care delivered, and thankfully, they’re mostly avoidable.

Front end errors become back end denials

When eligibilty, registration and benefit registration is  done correctly, patients get a reasonable estimate of what they owe, and clinicians can provide care knowing they’ll be reimbursed. When done poorly, front end errors cause several problems.

  • Higher revenue leakage: By Contributing to your overall denials volume, they reduce the amount of claims your billers can touch, and ultimately recover
  • Slower collections: The more denials you have to work, the slower you get paid.
  • Higher cost to collect:  it can cost an incremental $25 per claim just to get reimbursed for care you already provided. This eats into already thin margins.
  • Degraded patient experience:  Increased denials often mean inaccurate or higher patient bills.

Eligibility based denials are caused by both organization and technology

Org structure can make things worse. Receptionist and front desk teams handling intake and registration rarely report into the same leader as revenue cycle, but front-end errors impact the outcomes that revenue cycle leaders are held accountable for.

Technology also contributes. Today, most eligibility tools tell you whether the patient’s insurance is “valid” and that's as good as it gets. Specific details including the patients specific benefits, their copay and other cost share, and whether they have other insurances, are often left to the front desk to call the payer or check the portal. Often, this means they're just not addressed at all.

Most eligibility products are for front end users. Substrate’s Eligibility Agent is the first built specifically for denials. If your team works denials, spends time on claim status, logs into portals, or calls payers, the Substrate Eligibility Agent is for you . 

Why do Eligibility Related Denials Occur?

Eligibility-related denials are often caused by front end issues during registration. Common examples include:

  • The patient's insurance is not valid on that particular date of service.
  • Misspellings of a patient name.
  • Mistyping of a patient date of birth.
  • Mistyping of a patient member ID.
  • Not getting a prior auth when one was required for a specific procedure.
  • Not getting a PCP referral when one was required for a specific procedure.
  • The patient having benefits provided or paid by another plan, not the main plan. Things such as carve-outs 
  • coordination of benefits issues. Very often patients will have multiple insurances, and you have to submit the claim to the correct insurance first. 
  • Picking the wrong payer; sometimes you verify eligibility with one Blue, and that is successful, but the claim needs to be submitted to another one 

Some payers will pay a claim even when the patient name is misspelled. Others will deny a claim over a missing middle initial. 

We built the Substrate Eligibility Agent to solve these problems.

How The Substrate Eligibility Agent Works

The Substrate Eligibility Agent uses the same tools that your front desk or receptionist uses.  These include multiple clearinghouses (including yours), multiple API providers and payor portals. 

It combines data from a coverage discovery, eligibility response, and claim status, to figure out exactly why a claim was denied. 

Finally, unlike most eligibility tools, the Substrate Eligibility Agent is built for denials; it explicitly combines eligibility (270/271) with claim status (276/277), EOBs, and payor portal responses. It can also be deployed during registration or claim creation, but the denials focus is truly unique. 

Substrate's Eligibility Agent is built on the denial patterns of millions of real claims across thousands of payers. It knows that Anthem-CA has strict subscriber ID formatting requirements. It knows that UHC eligibility must be verified with payer ID 87726 but claims might need to be submitted to another plan. It knows these things because it has seen what happens when practices get them wrong.

We start by ingesting several types of context

  • Patient provided context including their insurance cards and ID
  • Practice context such as specialty, NPIs, Tax Ids
  • Encounter details such as date of service, place of service and intended procedures
  • Payer context from your system, EDI, APIs Browser Agents, and Payer medical necessity policies

We take these inputs and execute in 3 phases: 

  • Payer resolution: figure out the right payers and payer clearinghouse IDs (eg 87726 for United) to interact with around this claim
  • Patient Eligibility: extract relevant demographic, payer, plan and benefit details.
  • Claim Status: Understand where the claim is in the RCM lifecycle, and if it’s denied, the stated reasons (this goes beyond the 835/EOB - the portals give the agent access to the same data available to a human biller, not just the clearinghouse data). 

The agent synthesizes these disparate sources to tell tell why the claim was denied and answer the specific questions that the practice has. With each question we try to answer, we give the biller discrete steps of what to do next to rectify the problem. Some examples (including real screenshots) below:

Questions about the Encounter

Is the plan valid on the encounter’s date of service:

Are the intended services included in the patient’s plan benefits with this specific payer

Questions about the patient

Is this patient the subscriber or dependent, and was that communicated to the payer on the claim? In these cases a biller sees a denial reason like this:

“85 = Entity not primary; “

“Entity” sometimes refers to the provider, someteims the patient, sometimes the subscriber and sometimes the payer. In this case by supplementing the claim status response with an eligibility check, it’s able to tell that the patient is actually a dependent on the policy, rather than being the subscriber.  

It then outlines the specific discrepancies between what the practice has on file and what the patient has on file

Are any of the patient demographics incorrect? This will capture details like:

  • Do we have the right member ID?
  • Is the patient's name spelled correctly?

and so on.

What spelling of the patient name does the payer have on file?

What date of birth does the payer have on file for this patient and is it the same date of birth that the provider has

Is the member id entered correct? Often, but not all the time, this error just indicates that you have the wrong payer entirely.

Identifying Coordination of benefits issues

What payer id should eligibility be sent to vs where the claim should be sent?

Is the patient covered by multiple payers, and if so which one is primary?

These are just a few examples of what the eligibility agent can solve for health care practices. There are obviously several more.

Who is this for?

AR teams working Denials 

AR teams dealing with high denial volumes, or spikes in denials can use the Substrate Eligibility Agent to

  • Categorize denials. 
  • Do all the research required to solve and hand off a fully researched claim to billers to re-bill. 
  • Touch every single claim, including the low-dollar ones, so that revenue can be recovered instead of written off.

Physician Group Leaders

If you run a physician group, either as the CEO, CFO, or COO, or managing director, you have an extremely vested interest in getting this problem right. Eligibility-based denials are high frequency, they clog your queues and worklists and take time to remediate. The Substrate Eligibility Agent compresses all that research for your team, does it instantly, and returns an answer directly into your System of Record. Using this agent increases the net revenue you recover and the leakage you recapture, without expanding headcount.

Healthcare Finance Leaders & Health System CFOs

As a health care finance leader, if you had a tool that could shrink your bad debt accrual, would you use it? You're staring down a ton of headwinds to revenue, across revenue leakage, speed to collect, and increasing cost to collect. The Substrate Eligibility Agent can help drive net revenue recovery, recapture leakage and save on cost to collect.

On a $400M practice leaking 5% of net revenue, recapturing just 2 points is roughly $8M of recurring revenue. Faster collections compounds the effect: a practice collecting ~$1.1M/day that takes three days out of its AR feels a one-time cash improvement of ~$3.3M to the balance sheet (which also improves the working capital position of the business). The Substrate Eligibility Agent is built to drive exactly these outcomes; shrinking bad debt accrual, accelerating cash, and recapturing leakage, so the project pays for itself on the merits.

Revenue Cycle Operations Leaders

As a VP of Revenue Cycle Operations, you're responsible for overall collections success rates, but you often don't control the actions, practices, and turnover of the front desk. This tension often means that you're held accountable for mistakes made by teams that are not within your span of control.

The Substrate Eligibility Agent helps you take back control of eligibility-related issues. Instead of your team spending a ton of time checking patient insurance cards, logging into payer portals, or calling payers to check eligibility, the Substrate Eligibility Agent will do all that for you. Your billers will get fully researched claims they can immediately rebill, and you can redeploy your team into higher complexity denials.

Getting Started

The Substrate Eligibility Agent is designed to work alongside your team. This means you don't have to go through a massive change management process, move to a new PM, or change your front desk process The Substrate Eligibility Agent uses all of these systems as sources of data, and writes back so your worklists get automatically matriculated, and your billers know just what to do next. 

Learn more here, or book a demo here!