Aug 11, 2025 · Learn everything you need to know about clinical data management - what it is, use cases, stages, best practices, tools, technologies and the future outlook.

Jun 16, 2025 · Clinical data is a staple resource for most health and medical research. Clinical data is either collected during the course of ongoing patient care or as part of a formal clinical trial program.

We briefly describe several clinical data types that are commonly employed in clinical and translational research, including fully identified clinical data, HIPAA‐limited clinical data, deidentified clinical data, …

Clinical data management (CDM) is a critical process in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials. [1]

Clinical research data may be available through national or discipline-specific organizations. Level of access is likely restricted but available through proper channels.

Data collected at the beginning of a clinical study for all participants and for each arm or comparison group. These data include demographics, such as age, sex/gender, race and ethnicity, and study …

New digital measures can deliver significantly better value and be more relevant because they make use of increasingly more structured clinical data. There are multiple ways to source clinical data and they …

Clinical data is defined as the assembly of data associated with patient diagnosis, exposures, demographics, and test reports, typically collected from ongoing treatment programs and stored on …

Together, we enable the accessibility, interoperability, and reusability of data for more meaningful and efficient research that has greater impact on global health.

Consulting groups provide access to a petascale data warehouse of over 170 datasets. This includes clinical data gathered by Stanford itself, as well as a variety of population health datasets.

What is Clinical Data? Clinical data refers to information collected during the diagnosis, treatment, and monitoring of patients. It includes various types of data such as medical history, laboratory test …

Jan 5, 2024 · Clinical data management in healthcare begins with the precise and systematic collection of patient-related data. This includes a wide array of information, from basic patient demographics to …

This course introduces you to a framework for successful and ethical medical data mining. We will explore the variety of clinical data collected during the delivery of healthcare. You will learn to …

2 days ago · When people share their health data, they’re not just submitting numbers, they’re offering a piece of themselves. In 2026, research organizations like LifeX are handling data that’s more …

A core focus of the GDC is to enable the comparison of cancer genomic data to patient clinical data. This may include patient diagnosis, exposures, laboratory tests, and family relationships.

Dec 18, 2025 · Analyzing 67 studies, we summarize how AI processes diverse data sources such as social media, clinical records, and patient surveys to extract population- and individual-based patient …

May 9, 2019 · We review here the types of clinical data sets that can be derived from paper or electronic medical records, their applications and limitations, and their associated regulatory constraints, …

Clinical Data Management refers to the collection and storage of data collected during clinical research. To obtain quality information that is complete and error-free, the process of collecting and handling …

1 day ago · How Patient-Centered Outcomes Research (PCOR) and Patient Experience Data Are Transforming Clinical Research and Healthcare Decision-Making Published on 24/12/2025 by admin …

Data used to assess healthcare quality are available from many sources, including administrative data, claims data, patient medical records , electronic clinical data, registries, standardized patient …

Clinical data sources are composed of patient-level data that are generated from interaction with and assessment of patients and are typically abstracted from institutional electronic health records (EHRs).

Our newest reporting method helps clinical data create insight for managing the health of individuals and groups.

The SCDM Certification programs are unique in the industry, designed to allow clinical data managers to gain recognition for their knowledge, education and experience.

ClinicalKey provides comprehensive medical information and tools to support healthcare professionals in delivering quality care and making informed decisions.

For decades, researchers and clinicians have taken advantage of sources of rich clinical and population-based data to generate new insights, stimulate major research programs, and develop robust clinical …

1 day ago · AI’s transformative potential in clinical development relies on the industry's ability to rebuild its fractured data infrastructure.

Dec 16, 2025 · Learn how clinical operations leaders can build technology adoption, transform workflows, and cultivate digitally savvy talent to successfully implement AI across the entire clinical …

The papers in this chapter explore the potential of clinical data to improve research and health care, strategies to enhance access to health data and information, and key challenges to ensure data …

A clinical decision support system (CDSS) is a form of health information technology that provides clinicians, staff, patients, or other individuals with knowledge and person-specific information to …

Dec 22, 2018 · A variety of data sources and data types are relevant for clinical data science. A general overview of such data sources has been provided, and the concepts of different data types were …