Decoded Health
Decoded Health offers a clinical hyperautomation platform that utilizes generative AI to automate patient intake and documentation processes, integrating seamlessly with existing EHR systems. This technology reduces administrative burdens on healthcare providers, enhances clinical decision-making, and improves patient flow by streamlining data collection and documentation.
- Artificial Intelligence
- Digital Health
- Enterprise Software
- Healthcare Technology
- Software Only
Funding
Raised to date
$7.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Healthcare providers face significant administrative burdens related to patient intake, documentation, and chart review, leading to clinician burnout and reduced time spent on direct patient care. Manual processes for gathering patient history, reconciling medications, and updating EHRs are time-consuming and prone to errors.
Solution
Decoded Health offers a suite of AI-powered solutions designed to automate and streamline clinical workflows, reducing administrative overhead and improving efficiency. The platform leverages generative AI and natural language processing to automate patient intake, generate clinical documentation, and perform comprehensive chart reviews. By integrating seamlessly with existing EHR systems, Decoded Health's solutions capture patient data, reconcile medications, and populate structured data directly into the EHR, providing clinicians with real-time clinical summaries and enabling them to focus on patient interaction and medical decision-making.
Target Audience
Decoded Health targets healthcare providers, including physicians, nurses, and front office staff, as well as hospitals and clinics seeking to reduce administrative burdens, improve clinical efficiency, and enhance patient care.
Features
- AI-powered virtual front door automates patient scheduling, registration, and insurance verification.
- AI-driven clinical intake captures comprehensive patient data, including HPI, ROS, medication review, and medical history, through natural language conversations.
- Virtual scribe automatically generates structured clinical notes, including diagnoses, procedures, and orders, from patient-provider conversations.
- Clinical graph intelligence proactively retrieves and integrates relevant patient information, such as lab results and past diagnoses, into the current clinical note and EHR.
- Automated medication reconciliation resolves complex reconciliation tasks using clinically trained AI.
- Seamless EHR integration populates structured data directly into the EHR, providing clinicians with real-time clinical summaries.