analyzing patient data

USAGE SUMMARY

The phrase "analyzing patient data" is correct and usable in written English.
You can use it in contexts related to healthcare, research, or data analysis where patient information is being examined for insights or conclusions. Example: "The researchers are focused on analyzing patient data to improve treatment outcomes for chronic illnesses."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

The grant from the Hitachi Foundation will allow Anjna to add more features to its app, such as collecting and analyzing patient data.

The Guardian

The state had identified Dr. Bier and Dr. DiBlasio as an "imminent danger to public health" after analyzing patient data, which indicated that they were finding far fewer cancers than other doctors who participated in the government-financed program.

The New York Times

Zhang et al. [17] develop a clinical support system using data stream mining with the goal of analyzing patient data in order to make real-time prognosis and diagnosis.

Journal of Big Data

We thank Dr. Ernst Lengyel for help in analyzing patient data of primary human cancers, and Dr. Jon Licht for help with the IPA analysis.

BMC Genomics

Collecting and analyzing patient data using either a case control or two-phase design resolves ecological bias to provide valid conclusions.

BMC Medical Research Methodology

We did not obtain informed consent from the patient due to a statement of this committee that analyzing patient data retrospectively requires no informed consent.

BioMed Research International

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

We analyzed patient data and performed a phantom study with a Dilon 6800 gamma camera.

EJNMMI Research

The data analytics part of the model is assumed to analyze patient data to provide right intervention to the right patient at the right time.

Complex & Intelligent Systems

The multi-agent system has been implemented in a real scenario to classify leukemia patients, and the classification strategy includes services such as a novel ESOINN neural network and statistical methods to analyze patient data.

Information Sciences

The CMS analyzed patient data collected from December 2014 to July 2015 and found that Medicaid enrollees rated their overall health care at 7.9 on a scale of zero to 10, with 10 being the best care possible.

Huffington Post

M. C. collected and analyzed patient data.

Annals of Clinical and Translational Neurology

Expert writing Tips

Best practice

When writing about healthcare improvements, emphasize the specific benefits derived from "analyzing patient data", such as better treatment plans or more accurate diagnoses.

Common error

Be specific about what type of "analyzing patient data" is being performed (e.g., statistical analysis, trend analysis) and the goals of the analysis (e.g., predicting disease outbreaks, improving patient outcomes).

Linguistic Context

The phrase "analyzing patient data" functions as a gerund phrase, often used as a noun in a sentence. It describes the action of examining and interpreting information collected from patients for various purposes, such as improving healthcare outcomes or conducting research. As Ludwig AI confirms, it is a correct phrase.

Expression frequency: Common

Frequent in

Science

70%

News & Media

30%

Formal & Business

0%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "analyzing patient data" is a grammatically sound gerund phrase commonly used in scientific and news contexts to describe the process of examining patient information for insights and conclusions. Ludwig AI confirms its correctness. While often used interchangeably with alternatives like "examining patient records" and "reviewing patient information", it's crucial to be specific about the type of analysis and its intended outcomes. The phrase's frequent use in formal settings underscores its importance in data-driven healthcare decision-making.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

examining patient records

Focuses specifically on the review of documented patient information.

reviewing patient information

Highlights the process of scrutinizing patient details for a specific purpose.

assessing patient data

Emphasizes the evaluation and judgment aspect of the information.

interpreting patient data

Focuses on understanding the meaning and implications of the collected data.

processing patient data

Highlights the manipulation and transformation of patient data for analysis.

evaluating patient information

Emphasizes the appraisal and determination of the value of patient data.

studying patient data

Indicates a thorough and detailed investigation of patient information.

investigating patient data

Suggests a systematic or formal inquiry into patient information.

mining patient data

Focuses on extracting useful patterns or insights from large patient datasets.

extracting insights from patient data

Highlights the discovery of valuable information from patient data.

FAQs

How is "analyzing patient data" used in healthcare?

In healthcare, "analyzing patient data" is crucial for improving treatment outcomes, predicting disease outbreaks, and personalizing patient care. It involves examining various data points to gain insights that inform medical decisions.

What are some alternatives to "analyzing patient data"?

You can use alternatives like "examining patient records", "reviewing patient information", or "assessing patient data" depending on the specific context.

Why is it important to protect patient data when "analyzing patient data"?

Protecting patient data is essential to maintain patient privacy, comply with regulations like HIPAA, and build trust between patients and healthcare providers. Data breaches can have severe legal and ethical consequences.

What types of tools are used for "analyzing patient data"?

Various tools are used, including statistical software (like SAS or R), machine learning algorithms, and data visualization platforms. The choice of tool depends on the type and volume of data, as well as the specific analytical goals.