Health os.ai
HealthOS The AI-Native Healthcare Operating System for Smarter, Connected Care.
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Item Description
HealthOS — AI-Native Healthcare Operating System HealthOS is a modern, AI-powered healthcare platform designed to unify clinical workflows, patient management, diagnostics, administration, and intelligent decision support in one scalable system. It combines EMR/EHR workflows, AI clinical assistance, SOAP note generation, medical report analysis, ICD-10 support, triage, patient management, billing workflows, audit trails, role-based dashboards, and healthcare automation into a single platform.
Core Capabilities AI Clinical Assistant — assists with clinical documentation and workflow automation AI SOAP Scribe — converts clinical information into structured notes EMR/EHR & Patient Management — centralized patient and encounter workflows AI Report Analysis — structured analysis of medical reports and diagnostic data Triage & Clinical Workflows — supports organized patient assessment Billing & Administration — healthcare operations and revenue workflows ICD-10 Support — structured diagnosis and coding workflows Security & Auditability — role-based access and audit-trail architecture Healthcare Dashboards — operational and clinical insights Patient Communication — automated reminders and engagement workflows Scalable Architecture — designed for clinics, hospitals, and multi-tenant healthcare organizations HealthOS is built with a modern technology stack and is designed to evolve from an individual clinic solution into a multi-hospital healthcare platform and healthcare marketplace.
The platform is suitable for healthcare startups, clinics, hospitals, developers, health-tech companies, and organizations looking to build or accelerate an AI-native healthcare infrastructure. HealthOS brings clinical intelligence, healthcare operations, and automation together in one platform.
Features
HealthOS Use Cases
HealthOS can be positioned across multiple healthcare workflows:
- 🏥 Hospitals: Patient registration, OPD workflows, clinical documentation, diagnostics, billing, and hospital administration.
- 🩺 Clinics & Polyclinics: Digital patient records, AI-assisted SOAP notes, prescriptions, follow-ups, and appointment workflows.
- 🤖 AI Clinical Assistance: Convert clinical inputs into structured notes, summaries, and coding support.
- 🔬 Diagnostic & Radiology Workflows: Upload reports and images for AI-assisted extraction, organization, and analysis.
- 📊 Patient Analytics: Track vitals, clinical history, reports, encounters, and longitudinal patient information.
- 🚨 Triage: Organize incoming patient information and support prioritization workflows.
- 💳 Healthcare Administration: Billing, operational dashboards, staff roles, and workflow management.
- 📱 Patient Engagement: Automated appointment and follow-up reminders through digital communication channels.
- 🔐 Healthcare Compliance: Role-based access, audit trails, and controls designed for handling sensitive healthcare information.
- 🌐 Multi-Branch Healthcare Networks: Manage multiple clinics, departments, branches, and hospitals from a centralized platform.
- 🧠 Neurocognitive Research: With appropriate sensor integrations, HealthOS can be extended to analyze multimodal data such as EEG, eye tracking, EOG, PPG, and motion data for research and clinical-support applications.
Core use case:
HealthOS connects patient data, clinical workflows, AI assistance, diagnostics, and healthcare operations into a single AI-native healthcare platform.
$ 405
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Information
| Category | Scripts & Code / Python |
| First Release | 25 September 2026 |
| Files included | .php, .html, .css, .sql, .swf/.flv, .aspx, .ascx, .vb, .cs, .csproj, .h , .pch, .xib, .nib, .swift, .dat, .dex, .db, .java, .dll, .unityproj, .obj, .prefab, .fbx, .lua, .xml, build.settings, .ai, Layered .psd, .c, .asm, .cpp, .rb |
| Framework HTML/CSS | Bootstrap, Blueprint, Foundation, Semantic UI, Skeleton, YAML |
| Framework Javascript | jQuery, MooTools, YUI, Backbone.js, Node.js |
| Software version | PHP 5.1, PHP 5.4, PHP 5.5, PHP 7.0, PHP 7.1, PHP 7.2, PHP 7.3, PHP 7.4, .NET 3.5, .NET 4.0, .NET 4.6 |
| File Size | 1460 MB |
| Database version | MySQL 4.x, MySQL 5.x |
| Frameworks | Python |
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