data medicine

USAGE SUMMARY

The phrase "data medicine" is correct and usable in written English.
It can be used in contexts discussing the intersection of data analysis and medical practices, particularly in areas like personalized medicine or health informatics. Example: "The future of healthcare lies in data medicine, where patient data is analyzed to tailor treatments to individual needs."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

Furthermore, while banking has international standards for exchange of data, medicine does not.

BMC Medical Informatics and Decision Making

Working with accurate and contextually rich data, medicine price information mechanisms have the potential to play an important role in making medicines prices more transparent.

Globalization and Health

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

However, in the absence of data, medicines used past their expiry date should be regarded as poor quality as they may be degraded.

American Journal of Tropical Medicine and Hygiene

The era of big data [14,15] provides great opportunities for predictive, preventive, personalized and participatory (P4) medicine, which is expected to lead to big-data medicine.

Genomics, Proteomics and Bioinformatics

"You can log on anywhere, so I can do it from home," says Wyn Thomas, divisional data officer, medicine and therapies, at Ipswich hospital.

The Guardian

"There's a huge problem in getting AI data for medicine.

TechCrunch

This study compared national self-reported data on medicine use and national prescription records at the individual level.

Journal of Clinical Epidemiology

Today there are many sources of big data in medicine beyond those created directly by physicians in electronic medical records (EMR).

International Journal of Bipolar Disorders

Today, the primary source of big data in medicine is from providers and payers including electronic medical records (EMR) created by physicians, claims records, pharmacy records, and imaging.

International Journal of Bipolar Disorders

Using such data in medicine would raise ethical issues, including identifying deadly disease genes in people who never volunteered their own DNA for study.

BBC

The production of imaging data in medicine increases more rapidly than the capacity of computing models to extract information from it.

Medical Image Analysis

Expert writing Tips

Best practice

When using "data medicine", ensure the context clearly indicates the application of data analysis to medical practices or research. Be specific about the type of data and its purpose.

Common error

Avoid using "data medicine" as a generic term for all things related to health and technology. It's more effective when describing specific applications of data analysis, such as personalized treatment plans or predictive modeling.

Linguistic Context

The phrase "data medicine" primarily functions as a compound noun, where "data" modifies "medicine" to specify a particular approach or field. This indicates the application of data analysis and technologies within the context of medical science and healthcare, as supported by examples found by Ludwig.

Expression frequency: Rare

Frequent in

Science

60%

News & Media

30%

Formal & Business

10%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "data medicine" is a compound noun describing the application of data analysis to medical practices. Ludwig AI indicates that the phrase is grammatically sound but relatively rare, primarily appearing in scientific and news contexts. While its usage is correct, ensure the context is specific when using it. Alternative phrases like "medical data analytics" or "data-driven healthcare" may provide clearer communication in some cases. Ethical considerations are paramount when implementing "data medicine", given the sensitive nature of patient information. The examples from Ludwig show its usage in various fields, but its niche nature suggests it is best used when precision is required.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

medical data analytics

Focuses on the analytical aspect of medical data, emphasizing the process of examining raw information to draw conclusions.

health data science

Highlights the scientific approach to managing and interpreting health-related data.

precision medicine analytics

Emphasizes the use of data to tailor medical treatments to individual characteristics.

data-driven healthcare

Broadly refers to healthcare practices and decisions informed by data analysis.

digital health intelligence

Combines digital technologies with data analysis for enhanced healthcare insights.

clinical data analysis

Focuses on the specific analysis of clinical data for medical research and practice.

healthcare informatics

Encompasses the broader field of information technology applied to healthcare management and data.

predictive health analytics

Highlights the use of data to predict future health outcomes and inform preventative measures.

personalized medicine informatics

Combines the concepts of personalized medicine with information technology.

genomic data interpretation

Focuses specifically on the interpretation and application of genomic data in medicine.

FAQs

What does "data medicine" mean?

"Data medicine" refers to the application of data analysis techniques and technologies to improve medical practices, research, and healthcare outcomes. It involves using data to personalize treatments, predict health risks, and enhance diagnostic accuracy.

How is "data medicine" different from traditional medicine?

Traditional medicine relies heavily on clinical experience and standardized treatments. "Data medicine", on the other hand, uses large datasets and analytical tools to identify patterns and tailor treatments to individual patient characteristics. It's about using "data-driven healthcare" to make more informed decisions.

What are some examples of "data medicine" in practice?

Examples include using machine learning to predict disease outbreaks, analyzing patient data to personalize drug dosages, and employing genomic data to identify individuals at high risk for certain conditions. These are all examples of how "precision medicine analytics" can be used in treatment and prevention.

What are the ethical considerations of using "data medicine"?

Ethical concerns include data privacy, security, and potential bias in algorithms. Ensuring that patient data is protected, and that analytical methods are fair and transparent, are crucial aspects of responsible "data medicine" implementation.