INDUSTRY SPECIFIC SOLUTIONS

Healthcare

Greater insight into data is critical for healthcare professionals in delivering quality patient care. We can help you succeed with AI. For more information on how, check out our use cases for healthcare.

Use cases

Image recognition

Support diagnostics by classifying images from CT scans, X-rays, and more

Production optimization

Find patterns in complex production patterns to increase output and reduce downtime

Document search

Search and classify documents to help identify areas for improvement

Automate documentation

Fulfill comprehensive requirement set out in GxP and MDR (e.g., automating audit trail, bias rules, encryption of personal data)

Environmental monitoring

Classify and detect germs via environmental samples to monitor the risk of production being non-compliant

Health monitoring

Detect patients at risk by combining record data with live data from wearables (e.g., pacemaker, ICD)

Bias detection

Automate bias checks for a variety of data sources.

Use cases

Image recognition

Supporting diagnostics by classifying images from CT scans, X-rays, and more

Health monitoring

Detecting patients at risk by combining record data with live data from wearables (e.g., pacemaker, ICD)

Document search

Searching and classifying documents to help identify areas for improvement

Automate documentation

Fulfilling comprehensive requirements set out in GxP and MDR (e.g., automating audit trail, bias rules, encryption of personal data)

Environmental monitoring

Classifying and detecting germs via environmental samples to monitor the risk of production being non-compliant

Production optimization

Finding patterns in complex production patterns to increase output and reduce downtime

Bias detection

Automating bias checks for a variety of data sources

MEET GRACE

Accelerating your AI
adoption at scale

Grace is an enterprise AI platform that offers an efficient, secure, and robust AI adoption across your organization by standardizing processes and workflows.

Trusted by

Grace’s three core pillars

Successful AI adoption rests on three core pillars that provide the enterprise-grade quality and robustness you need to accelerate and orchestrate AI responsibly

Asset Store

ACCELERATE AI ADOPTION

Speed-up the implementation of AI and advanced analytics with the Asset Store’s ready-to-use solutions

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Machine Learning Operations

ORCHESTRATE ENTERPRISE‑WIDE AI

Streamline, optimize, and manage model development, deployment, and operation pipelines for AI

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Governance, Risk & Compliance

IMPLEMENT AI RESPONSIBLY

Ensure adherence to the growing number of global regulations, laws, and ethical guidelines for AI

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ASSET STORE

Ready-to-use solutions for the healthcare industry

With our Asset Store, there is no need to develop everything from scratch yourself. Benefit from ready-to-use solutions, offering everything you need to kick-start and accelerate your AI projects.

PII Scanner

Governance

Performs a quick and comprehensive scan within a directory or database to provide insights on Personal Identifiable Information (PII)

visions detection

Vision detection

Governance

Derives meaningful information from digital visual inputs and takes actions or makes recommendations based on that information

Clinical radiology vision

Model accelerator

Automates how complex patterns in imaging data are recognized and provides quantitative assessments of radiographic characteristics

Text anonymization

Governance

Detects Personal Identifiable Information (PII) in text and removes it. It is an essential part of a pipeline when using text with PII

CLIENT CASE

Email routing

The Grace Standard Model for email categorization automates and optimizes email routing, ensuring that correspondence reaches the correct recipients with minimum human interaction. Furthermore, the company gets insights into what makes the model route the emails, which helps create an overview of content and relevance.

Categorizing emails with the help of an AI model has helped several of 2021.AI’s clients save time on routine processes, freeing time to focus on more value-creating tasks.

Out of 416 emails
routed daily

Value creation
DKK per year

hours saved per
employee per day

model
performance

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Prioritizing transparency and responsible use of predictive algorithms is key to applying leading-edge technologies safely in healthcare.

Siv Nilsson Pedersen, AI Advisor at 2021.AI

Regulatory attention on emerging technologies and their applications is increasing

Organizations working with emerging technologies, such as AI, can expect more external requirements for transparency on how they use them, which will require added governance, risk & compliance capabilities.

Traditional compliance system

When it comes to monitoring and documenting the use of emerging technologies, traditional compliance systems have blind spots:

K

Lack transparent information about how models operate

K

Model results, including whether they are accurate and fair, are not tracked or measured

K

Producing a compliant Data Protection Impact Assessment (DPIA) is not possible

K

Compliance protection by design principles or guidelines are not available

Grace’s Tech GRC system

With Governance, Risk & Compliance measures at its core, Grace makes it easy to monitor and document how emerging technologies are applied:

L

Full transparency on how models operate

L

Solution and risk controls in place, allowing a complete overview of any operational measures of a model

L

Process and solution to ensure that all relevant stakeholders fill in DPIA and other mandatory assessments

L

Solution enhancing compliance with data protection at its core

Comply with existing and new regulations

With ready-to-apply impact assessments, rules & requirements, and certifications for various regulatory frameworks, Grace makes it easy to build policy-guided workflows and guardrails into your AI development process to ensure adherence with regulations.

Client stories

Delivering measurable business value

Discover how we help clients optimize costs, increase revenue, and address risks.

Connect with our experts

Our business experts are ready to answer your questions, provide advice, and offer insights. Please leave your contact details, and we will connect to set up a virtual one-on-one.

Kim Tosti

Kim Tosti

AI ADVISOR, 2021.AI

For 20+ years, Kim operated as a noteworthy leader in the pharma space. He is passionate about guiding executives to be successful with disruptive technologies.

Siv Nilsson Pedersen

Siv Nilsson Pedersen

AI ADVISOR, 2021.AI

As a specialized consumer analyst, Siv helps clients gain new insights on their market and clients.