AI Solutions & Advanced Healthcare Analytics | Medidata AI (2024)

Medidata
AI Solutions & Advanced Healthcare Analytics | Medidata AI (3)

Medidata AI advances our mission of powering smarter treatments and healthier people by expediting the delivery of life-saving therapies to the market. We enable smart, data-driven decisions throughout clinical development programs, significantly boosting their chances of success.

Medidata AI Offerings

AI Solutions & Advanced Healthcare Analytics | Medidata AI (4)

Who We Are

At Medidata AI, there are hundreds of incessantly curious, multi-disciplinary experts who equip you with the vital data and tools you need to find new innovative approaches to clinical trials and to rethink the limits of what is possible — because today’s challenges demand it.

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Clinical Trial Data

Medidata offers insights built upon over 30,000 trials – including 8,000 active studies – and 9 million participants. Enabling better, faster decisions that can inform site selection, ensure enrollment of diverse patient populations, design safer trial protocols, and generate evidence via an external control arm to demonstrate comparative efficacy.

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Synthetic Data

Medidata offers anonymized, patient-level synthetic data that can be utilized to investigate and inform product development. We bring together the power of our historical clinical trial database with cutting-edge AI/ML techniques that preserves patient privacy while allowing expanded access to the insights contained within these valuable, siloed data sources.

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Research Alliance

The Medidata Research Alliance brings together academic and key opinion leaders with Medidata’s expert staff, comprised of clinicians, biostatisticians, former regulatory officials and industry veterans. By combining multi-sector expertise with data-driven research, we advance clinical innovations and fulfill our mission of powering smarter treatments and healthier people.

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Medidata AI Solutions

From planning to launch, we are your collaborative partner — pushing the innovations realized through unparalleled clinical trial data, deep industry and human expertise, advanced analytics and predictive modeling.

Intelligent Trials Diversity Trial Design External Control Arm Link

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Intelligent Trials

Gain a competitive edge in trial planning and enrollment through real time data and analytics.

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Diversity

Meet your trial diversity goals and enhance site selection to choose sites that can accelerate your trial and have a track-record of successfully enrolling diverse patients, based on indication-specific cross-industry data.

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Trial Design

Reduce trial planning uncertainty and improve the probability of regulatory and technical success through novel and proven approaches to protocol development, leveraging the insights contained within over 30,000 trials.

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Synthetic Control Arm® (SCA®)

When a traditional randomized control arm is unfeasible, Medidata SCA enables teams to build an external control arm through careful selection of patient level data to yield a baseline composition that is statistically well balanced with the experimental arm.

AI Solutions & Advanced Healthcare Analytics | Medidata AI (12)

Link

Connect real world data to your study at the patient level to access richer insights into patient journeys, accelerate and broaden understanding of real-world outcomes, all while minimizing the burden on sites and patients.

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Resources

Press Release Diversity in Clinical Trials Announcing the launch of the industry’s most comprehensive solution for improving diversity, equity, and inclusion in clinical trials. Learn More
Press Release Research Alliance The Medidata Research Alliance bridges data-driven insights into clinical practice, fostering scientific exploration that can be applied across multiple therapeutic areas. Learn More
Press Release Medidata Link Wins Reagan-Udall Innovation Award Medidata Link was awarded the prestigious 2022 Innovations in Regulatory Science Award from the Reagan-Udall Foundation for the FDA. The Innovation Award recognizes individuals or organizations that have made particularly groundbreaking contributions to regulatory science or policy to improve public health.‎ Learn More

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AI Solutions & Advanced Healthcare Analytics | Medidata AI (2024)

FAQs

How is AI used in healthcare analytics? ›

AI can predict which patients in memory care clinics are likely to develop dementia within two years. AI can aid early detection of diabetes by identifying hidden patterns of correlation in large patient data sets. AI may assist in predicting acute kidney injury up to 48 hours before it occurs.

How accurate is AI in healthcare? ›

AI systems have proven to be accurate—in terms of positive predictive value (PPV) and sensitivity—for tasks that are time consuming or strenuous for health care professionals. Accuracy of those systems is important and a necessary condition for integrating AI in clinical practice.

How does AI solve problems in healthcare? ›

AI could analyze a patient's unique genetic makeup, medical history, and real-time health data to generate highly individualized treatment plans that target their specific needs with unprecedented accuracy. This could lead to more effective therapies, fewer side effects, and better patient outcomes.

What is the most common AI in healthcare? ›

Some particular AI technologies of high importance to healthcare are defined and described below.
  • Machine learning – neural networks and deep learning. ...
  • Natural language processing. ...
  • Rule-based expert systems. ...
  • Physical robots. ...
  • Robotic process automation.

How to apply AI in healthcare? ›

Some of the most common forms of AI used within health care include: Machine learning (ML): training algorithms using data sets, such as health records, to create models capable of performing such tasks as categorizing information or predicting outcomes.

Why do we need AI in healthcare? ›

The Benefits of AI in Healthcare

AI for healthcare offers the ability to process and analyze vast amounts of medical data far beyond human capacity. This capability was instrumental in diagnosing diseases, predicting outcomes, and recommending treatments.

What are the negatives of AI in healthcare? ›

The Cons Of AI In Healthcare
  • Ethical Dilemmas. AI's deployment in healthcare applications raises complex ethical questions with unclear liability and accountability. ...
  • Diagnostic Accuracy. While AI systems can be highly accurate, they are not infallible. ...
  • Data Privacy And Security. ...
  • High Implementation Costs. ...
  • Job Displacement.
Dec 1, 2023

What are the AI mistakes in healthcare? ›

Biases, errors, or missing information in this data can lead to the AI being wrong. Imagine an AI system to identify patients at high risk of heart attacks. If this system is biased towards certain demographics or lacks crucial details about a patient's medical history, it could make serious mistakes.

Can AI detect health problems? ›

Researchers at the Beckman Institute developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.

What is the biggest challenge of AI in healthcare? ›

Lack Of Transparency: Many AI systems are considered "black boxes" because it is difficult to understand how they arrived at a particular decision. This lack of transparency can make it difficult for doctors and other healthcare professionals to trust the results of an AI system.

How is AI used in healthcare 2024? ›

Administrative Duty Assistance

Since algorithms can make decisions and perform complex tasks independently, they can provide everyday assistance with administrative duties. From deciphering records to processing patients, AI can enhance nearly any process when trained and coupled with human oversight.

What is the future of AI in healthcare? ›

Mayo Clinic hopes that AI could help create new ways to diagnose, treat, predict, prevent and cure disease. This might be achieved by: Selecting and matching patients with the most promising clinical trials. Developing and setting up remote health-monitoring devices.

Who benefits from AI in healthcare? ›

Treatment Planning and Personalization: Healthcare professionals are creating personalized treatment plans using AI-powered applications that analyze genetic, clinical, and lifestyle data. Predictive Analytics and Risk Assessment: AI can analyze patient data and environmental factors to predict disease outbreaks.

Which hospital uses AI? ›

Mayo Clinic is tops, according to CB Insights, followed by Intermountain and Cleveland Clinic. Mayo was cited, for example, for having filed more than 50 patents for AI-enabled tools in cardiology, oncology and elsewhere, and for having invested in AI startups tackling an array of clinical and operational use cases.

Is AI in healthcare reliable? ›

In June 2023, researchers from Duke Health published a study in the Annals of Surgery showing that three artificial intelligence (AI) models trained on data from thousands of surgical cases were 13% more accurate in predicting operating room time needed for each procedure, compared to human schedulers alone.

Artificial Intelligence (AI) in Healthcare Industry ...Healthcare Business Clubhttps://healthcarebusinessclub.com ›

Artificial intelligence (AI) in healthcare, all you need to know about. definition, benefits, challenges,applications in radiology, pharmaceutical,...etc.
See how AI in healthcare supports administrative workflow automation, robot-assisted surgery, diagnosis aid, drug discovery and more.
Artificial intelligence simplifies the lives of patients, doctors and hospital administrators by performing tasks that are typically done by humans, but in less...

How is AI used in analytics? ›

How can AI be used with data analytics? AI data analytics is designed to support, automate, and simplify each stage of the data analysis journey. AI tools can help with data collection (ingesting from multiple sources) and preparation (cleaning and organizing for analysis).

What is the smart use of AI in healthcare? ›

AI technology is increasingly indispensable in EHR management. It enables the analysis of vast medical data to spot patterns that aid disease prevention and treatment. AI healthcare technology scrutinizes EHR data, identifying high-risk patients and devising personalized prevention strategies.

How is AI used in healthcare diagnosis? ›

AI algorithms can analyze medical images (e.g., X-rays, MRIs, ultrasounds, CT scans, and DXAs) and assist healthcare providers in identifying and diagnosing diseases more accurately and quickly.

How is AI used in healthcare decision making? ›

AI can assist healthcare professionals in diagnosing diseases, planning treatments, predicting outcomes, and managing population health. AI can also improve the quality and efficiency of healthcare decision making, as well as the satisfaction and involvement of users.

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