data healthcare

USAGE SUMMARY

The phrase "data healthcare" is correct and usable in written English.
It can be used in contexts discussing the intersection of data analysis and healthcare, such as in research, technology, or policy discussions. Example: "The integration of data healthcare solutions can significantly improve patient outcomes and streamline hospital operations."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

22 human-written examples

South Korea is at the vanguard of a revolution in AI AND BIG DATA HEALTHCARE.

Nature

When protecting personal data healthcare companies are at the forefront, building the technology to support these standards.

University of California, Berkeley

It's this approach that we'll see in the coming months and years extend to other sectors where data is becoming increasingly central – like the air transport industry (fares data), healthcare (clinical outcomes data) and recorded music (track based metadata, or data about data), and, yes, even the UK public sector.

The Guardian

As readmission determination utilizes administrative data, healthcare systems should evaluate accuracy of pneumonia diagnoses.

Duke University

Ross is a serial entrepreneur, and was most recently CEO and co-founder of the big data healthcare startup FirstCare.

TechCrunch

Based in Monterrey, the firm invests in tech companies in the SaaS, mobile, big data, healthcare, cleantech, consumer, non-banking finance, and education sectors.

TechCrunch

Human-verified similar examples from authoritative sources

Similar Expressions

38 human-written examples

"We get so worried about these things that we don't get the benefits … Right now we don't data-mine healthcare data.

The Guardian - Tech

The study highlights the innovative potential of linkage data between healthcare interfaces to inform healthcare delivery.

BMJ Open

Everyone's talking about the importance of big data in healthcare.

The Guardian

As experimentation, we applied the proposed framework for modeling imperfect and incomplete data in healthcare field.

Measurement

It has been observed that significant work has been done using big data in healthcare sector.

Procedia Computer Science

Expert writing Tips

Best practice

When using "data healthcare", ensure the context clearly indicates that you are referring to the application of data analytics, management, or science within the healthcare sector.

Common error

Be specific about what aspect of data in healthcare you're discussing. Simply stating "data healthcare" might be too broad; instead, specify "healthcare data analytics" or "clinical data management" for clarity.

Linguistic Context

The phrase "data healthcare" primarily functions as a noun phrase, often acting as an adjective to modify another noun or as a subject/object within a sentence. It refers to the utilization of data-related methodologies within the healthcare sector, as Ludwig AI confirms with usable examples.

Expression frequency: Uncommon

Frequent in

Science

40%

News & Media

40%

Academia

20%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "data healthcare" is a grammatically correct noun phrase referring to the intersection of data and healthcare, specifically the application of data analytics, management, and science within the sector. While not exceedingly common, it finds usage across science, news, media, and academia. Ludwig AI analysis shows that the phrase is understood and correctly used, albeit often needing further clarification to avoid ambiguity. Alternative phrases like "healthcare data analytics" or "clinical data management" may offer greater precision depending on the context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Healthcare data analytics

This alternative emphasizes the analytical aspect of using data within healthcare.

Health data analytics

Refers to the analytic processes on health data.

Data in healthcare

This option uses a prepositional phrase to specify the field in which data is applied.

Healthcare data management

This focuses on the management aspect of healthcare data.

Clinical data analysis

This alternative specifically refers to the analysis of clinical data.

Medical data science

This phrase highlights the scientific approach to medical data.

Health informatics

This is a more formal and established term for the application of information technology to healthcare.

Healthcare information

This alternative uses a broader term than "data", encompassing various forms of information used in healthcare.

Digital health data

Highlights the digital aspect of health data.

Application of data science in healthcare

Full phrase that emphatizes the application of data science in healthcare.

FAQs

How is "data healthcare" used in research?

"Data healthcare" is often used to describe the application of data analysis techniques to improve patient outcomes, streamline healthcare operations, and identify trends in healthcare data. Researchers might use it to refer to studies involving large datasets of patient information.

What's the difference between "data healthcare" and "health informatics"?

While both terms relate to the intersection of data and healthcare, "health informatics" is a more established and broader field encompassing the use of information technology in healthcare. "Data healthcare" is more focused on the specific application of data analysis and management techniques.

What are some key challenges in "data healthcare"?

Key challenges include ensuring data privacy and security, dealing with unstructured data, integrating data from disparate sources, and addressing ethical considerations related to the use of patient data.

What's the future of "data healthcare"?

The future of "data healthcare" involves greater use of artificial intelligence and machine learning to personalize treatment plans, predict disease outbreaks, and improve the efficiency of healthcare systems. This also includes advancements in wearable technology, telehealth and genomic data analysis.