Diagnostic.ly Unveils New At-Home Diagnostics Capabilities to Automate Test & Treat and Treat & Prove Care

2026-06-23 · Source: The AI Journal · Field: Health & Wellbeing — Healthcare Systems & Policy, Medical Devices & Health Technology · Depth: Fundamental Awareness, short

Summary

Diagnostic.ly, a leader in at-home diagnostics, announced a major platform expansion on June 23, 2026, introducing new capabilities to automate "Test & Treat" and "Treat & Prove" care workflows. This expansion allows healthcare organizations to automate treatment recommendations following diagnostic results and schedule follow-up tests to confirm efficacy. A key feature is a patent-pending AI specimen collection observation system designed to identify collection failures in real time, reducing associated costs by up to 90 percent and improving patient satisfaction. The company also unveiled competitive tools for independent laboratory partners, offering insights into market positioning and AI-assisted road mapping, profitability analysis, and proposal generation. These new tools aim to streamline the entire at-home diagnostic process, from ordering through treatment and proof of efficacy, addressing issues like the 70% of health journeys starting with at-home diagnostics.

Key takeaway

For healthcare organizations managing at-home diagnostics, you should evaluate Diagnostic.ly's expanded platform to streamline your "Test & Treat" and "Treat & Prove" workflows. Implementing their patent-pending AI observation system can significantly cut costs associated with failed specimen collections by up to 90 percent, improving patient experience and speeding results. Consider integrating these tools to automate clinical actions and prove treatment efficacy, enhancing your operational efficiency and patient care delivery.

Key insights

Diagnostic.ly automates at-home diagnostics from testing to treatment, using AI to prevent collection errors and support labs.

Principles

• Automate clinical action post-diagnosis.
• Prevent specimen collection failures at source.
• Equip labs with competitive market insights.

Method

The platform integrates test ordering, AI-observed specimen collection, automated treatment recommendations, and efficacy re-testing into a single system.

In practice

• Implement AI observation for at-home test kits.
• Automate follow-up tests for treatment efficacy.
• Utilize competitive analysis for lab market strategy.

Topics

• At-Home Diagnostics
• AI Specimen Observation
• Test & Treat Workflows
• Laboratory Competitiveness
• Clinical Automation
• Patient Care Technology

Best for: Product Manager, CTO, VP of Engineering/Data, Operations Professional, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.