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Clinion AI Medical Coding VS Flagsmith

Compare Clinion AI Medical Coding VS Flagsmith and see what are their differences

Clinion AI Medical Coding logo Clinion AI Medical Coding

AI Medical Coding Future Proof Your Medical Coding Team

Flagsmith logo Flagsmith

Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.
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  • Clinion AI Medical Coding Landing page
    Landing page //
    2023-10-05

Fully automated AI-enabled, Medical Coding software to help your team work faster and smarter ClinionAI uses Deep Learning NLP models to automate the coding of Adverse Events and Concomitant Medication.

The AI Medical Coding algorithm has been trained on millions of biomedical terms for medical context learning using machine learning models.

MedDRA dictionaries are encoded and embedded in the model. Adverse event terms entered into Clinion EDC are matched with the MedDRA dictionary terms by the ML Algorithm and results with associated confidence scores are displayed. Users can choose the best fit!

  • Flagsmith Landing page
    Landing page //
    2021-10-23

Clinion AI Medical Coding features and specs

  • 85%+ Accuracy: With 100% coding and over 85% accuracy with completion times measured in minutes, not hours - imagine the world's fastest, most accurate coder joining your team.
  • Integrated With EDC: Comes integrated and inbuilt into Clinion EDC and does not need additional training to deploy and use.
  • Scalable Medical Coding: Effortlessly adds the capacity to code thousands of terms without any changes in timelines or resources
  • Save over 50%: Over 50% savings when compared to manual coding. AI Medical Coding provides 100% coding with over 85% accuracy. Coding teams can simply pick and commit to complete coding. reducing coding timelines and costs.

Flagsmith features and specs

  • Feature Flags: Yes
  • Remote Config: Yes
  • A/B/X Testing & Optimization: Yes
  • Organization Management: Yes
  • Integrations: Yes

Category Popularity

0-100% (relative to Clinion AI Medical Coding and Flagsmith)
Clinical Trial Management System
Developer Tools
0 0%
100% 100
Clinical Trial Management System (CTMS)
Feature Flags
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Clinion AI Medical Coding and Flagsmith

Clinion AI Medical Coding Reviews

We have no reviews of Clinion AI Medical Coding yet.
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Flagsmith Reviews

The 8 best free and open-source feature flag services
BlogBackSign inBlogThe 8 best free and open-source feature flag servicesPosted byThe best open-source feature flag tools1. PostHogWhat is PostHog?Supported librariesHow much does it cost?2. UnleashWhat is Unleash?Supported SDKsHow much does it cost?3. GrowthBookWhat is GrowthBook?Supported SDKsHow much does it cost?4. FlagsmithWhat is Flagsmith?Supported SDKsHow much does it...
Source: posthog.com

Social recommendations and mentions

Based on our record, Flagsmith seems to be more popular. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Clinion AI Medical Coding mentions (0)

We have not tracked any mentions of Clinion AI Medical Coding yet. Tracking of Clinion AI Medical Coding recommendations started around Oct 2022.

Flagsmith mentions (13)

  • Why use Open Source Feature Flags?
    Considering all these points, the team at Flagsmith has developed a feature flag management platform Flagsmith and made it open source. The core functionality is open and you can check out the GitHub repository here. I have utilized and authored several blogs discussing their excellent offerings and strategies. - Source: dev.to / about 2 months ago
  • free-for.dev
    Flagsmith - Release features with confidence; manage feature flags across web, mobile, and server side applications. Use our hosted API, deploy to your own private cloud, or run on-premise. - Source: dev.to / over 1 year ago
  • Which startups are made using Django?
    Flagsmith is written in Django and is open source as well: https://flagsmith.com. Source: almost 2 years ago
  • The actual infrastructure costs of running SaaS at scale (billions of requests/month)
    Before we dive in, one important call-out: We provide our feature management product to customers in three ways depending on how they want to have it managed: Fully Managed SaaS API, Fully Managed Private Cloud SaaS API and Self-Hosted. The infrastructure costs that we are sharing is for our customers that leverage our Fully Managed SaaS API offering (try it free: https://flagsmith.com/) which represents a portion... - Source: dev.to / about 2 years ago
  • The Story Behind Our Open Source Ecommerce Platform with +9,000 GH stars in 6 months
    On March 15th, Sebastian Rindom, the CEO & Co-founder of Medusa, did an interview with Flagsmith where he talked about how Medusa started, why create a headless commerce solution, why make it open-source, and more. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing Clinion AI Medical Coding and Flagsmith, you can also consider the following products

OpenClinica - OpenClinica is an open source clinical trials software.

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.

DFdiscover - DFdiscover is a comprehensive CDMS solution that enables users to meet the responsive needs of clinical trials.

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

Medidata Rave - Medidata Rave® is a cloud–based clinical data management system used to electronically capture, manage, and report clinical research data.

Unleash - Open source Feature toggle/flag service. Helps developers decrease their time-to-market and to increase learning through experimentation.