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Related Concept Videos

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.3K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
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Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

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A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
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Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

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Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
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Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

358
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
358
Preventive Healthcare Services01:30

Preventive Healthcare Services

1.0K
Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
1.0K
Teratogenicity01:07

Teratogenicity

2.5K
The ability of a drug to produce structural deformations and functional abnormalities in the developing embryo or the fetus is called teratogenicity, and the drug producing this effect is known as a teratogen. Teratogenic effects include stillbirth, miscarriage, intrauterine growth restriction, and neurocognitive delay. A teratogen may affect the embryo at different stages of development, which is important in determining the type and extent of the damage. During blastocyst formation, the early...
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Updated: Jul 5, 2025

FISH for Pre-implantation Genetic Diagnosis
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FISH for Pre-implantation Genetic Diagnosis

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Improving prenatal diagnosis through standards and aggregation.

Michael H Duyzend1,2,3, Pilar Cacheiro4, Julius O B Jacobsen4

  • 1Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.

Prenatal Diagnosis
|January 19, 2024
PubMed
Summary
This summary is machine-generated.

Standardizing prenatal genetic and phenotypic data is crucial for accurate diagnoses and advancing precision medicine. Aggregated data will improve variant interpretation and gene discovery for better prenatal care.

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Area of Science:

  • Genomics
  • Prenatal Medicine
  • Bioinformatics

Background:

  • Advances in sequencing and imaging enhance prenatal assessments for disease diagnosis and management.
  • Lack of data standardization hinders variant interpretation, gene discovery, and prenatal precision medicine.
  • Clinicians and patients face challenges with accurate diagnoses due to data fragmentation.

Purpose of the Study:

  • To highlight the importance of standardized data collection, processing, and aggregation in prenatal medicine.
  • To emphasize how aggregated genetic and phenotypic data can improve disease understanding.
  • To discuss the development of interoperable standards and phenotype-driven tools for the prenatal space.

Main Methods:

  • Discusses the necessity of establishing standards for data collection and processing.
  • Highlights the role of aggregated genetic and phenotypic data.
  • Emphasizes the development of phenotype-driven tools and interoperable standards.

Main Results:

  • Aggregated and homogeneously processed data enable dissection of genomic architecture in prenatal disease.
  • Standardization is imperative for accurate variant interpretation and gene discovery.
  • The prenatal space is a key driver for developing new data standards and analysis tools.

Conclusions:

  • Generating aggregate datasets is vital for advancing prenatal precision medicine.
  • Interoperable standards and phenotype-driven tools are essential for improving prenatal diagnostics and care.
  • Standardization will empower clinicians and patients with accurate diagnoses and targeted therapies.