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How to Successfully Employ External Comparator Arm Studies Using Real World Data

pharmaphorum

Therefore, to help contextualise study findings, external comparator arms (ECAs) can be employed, which compile data from external sources, such as patient registries and other medical records. However, methodological considerations must be undertaken to ensure the best conduct and minimise potential biases in ECA study designs.

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Hospital pharmacist-led re-evaluation of medication errors: a pilot study

Hospital Pharmacy Europe

The incidence of medication errors varies greatly among published studies, not only due to the lack of a clear definition, 1,2 but also because of different factors such as the healthcare setting, differing levels of automation (e.g. 3–5 Medication errors are often documented in national or local electronic incident reporting systems.

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When Should a 510(k) Include Clinical Data?

The FDA Law Blog

The Draft Guidance also describes the types of data that may constitute clinical data supporting a 510(k), drawing on previous recommendations of the International Medical Device Regulators Forum (see “ Clinical Evidence – Key Definitions and Concepts ”). electronic health records, claims). electronic health records, claims).

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The Use of Artificial Intelligence in the Pharmaceutical Industry

Viseven

From life-saving drugs discovery, development, and production to clinical trials, communication, and drug target identification — AI pharmaceutical is a definite game-changer. A specifically tuned neural network can keep data secure and manage electronic medical records (EMR) to store patients’ sensitive information and treatment records.

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Influence of 5G on Healthcare

Viseven

However, it can be challenging for patients to stick to their prescribed therapy, especially when they have co-morbid conditions requiring multiple medications or when they are more likely to forget their treatment regimen due to underlying issues, such as mental health conditions.

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Revolutionizing Medicine and Public Health: The Emergence of Big Data in Healthcare

Roots Analysis

Variety: Big data comes in various forms, ranging from structured data (such as, names, dates, addresses, credit cards, and stock information) to unstructured data ( such as, text, medical records, video files, audio files, and financial transactions ).

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Understanding the current and future state of complex health data protection laws

Pharmaceutical Technology

Vendors of personal health records and third-party service providers not covered by HIPAA are pursuant to section 13407 of the Health Information Technology for Economic and Clinical Health (HITECH) Act, implemented and enforced by the Federal Trade Commission.