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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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Clinical Trials: Overview01:11

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Data Collection I01:30

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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Purpose of Health Records II01:19

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Health records serve various essential purposes in the healthcare system. Here are some key purposes:
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Ethical Standards II01:23

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Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Reuse of clinical data.

C Safran1

  • 1Charles Safran, MD, Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA,

Yearbook of Medical Informatics
|August 16, 2014
PubMed
Summary
This summary is machine-generated.

Routinely collected clinical data offers significant societal benefits but faces challenges in answering all medical questions. A new science of health data is needed to address future data science challenges from patient-sourced data.

Keywords:
Electronic health recordsclinical informaticsdatabaseevidence-based medicineoutcomes research

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Area of Science:

  • Health informatics
  • Data science
  • Clinical research

Background:

  • Clinical data collected during patient care offers benefits.
  • Aggregating large clinical datasets presents potential problems and policy considerations.

Purpose of the Study:

  • To overview benefits of clinical data.
  • To discuss problems with large data aggregations.
  • To review policy frameworks and future challenges.

Main Methods:

  • Summary of observations from AMIA and IMIA conferences (2006-2013).
  • Inclusion of author's opinions.

Main Results:

  • Aggregated clinical data provides societal benefits.
  • Large datasets may not answer all clinical questions due to methodological limits.
  • Patient-sourced data introduces new data science challenges.

Conclusions:

  • A science of health data is necessary for evidence-based medicine.
  • This science may be modeled after astronomy.
  • Tools for rapid evidence generation require advancements in health data science.