evidence-based decision making

USAGE SUMMARY

The phrase "evidence-based decision making" is correct and usable in written English.
You can use it in contexts where decisions are made based on empirical evidence and data rather than intuition or personal experience. Example: "The organization adopted evidence-based decision making to improve its policies and outcomes."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

26 human-written examples

But this is no way for supposedly evidence-based decision making to work, and the F.D.A. could do much more.

The New York Times

Such terms do not facilitate evidence-based decision making.

Life Sciences, Society and Policy

Science can enhance the effectiveness of evidence-based decision making.

International Journal of Disaster Risk Science

These factors are important considerations for evidence-based decision making about protecting assets from dryland salinity.

Journal of Hydrology

And finally, I think ― I believe in evidence-based decision making.

Huffington Post

Evidence-based decision making.

Environmental Health Perspectives

Human-verified similar examples from authoritative sources

Similar Expressions

34 human-written examples

Treatment choice regarding the retention of a ROF tooth should be based on evidence-based decision-making protocol.

Evidence-Based Endodontics

Are data analyses made available for evidence-based decision-making?  4.

Unicef

It is important that modeling estimates be made available to support evidence-based decision-making.

BMC Infectious Diseases

Information systems promote evidence-based decision-making, manage knowledge and create transparency and good governance without changing the organizational hierarchy.

Health Policy and Planning

As such, these designs have great potential to inform evidence-based decision-making.

Research in Developmental Disabilities

Expert writing Tips

Best practice

When advocating for "evidence-based decision making", specify the type of evidence (e.g., scientific data, market research) to strengthen your argument and provide clarity.

Common error

Avoid presenting "evidence-based decision making" as the only valid approach. Recognize that intuition, experience, and ethical considerations also play vital roles in complex decision-making scenarios.

Linguistic Context

The phrase "evidence-based decision making" functions as a compound adjective modifying a noun. It describes a process or approach where decisions are informed and guided by available empirical evidence. As Ludwig AI confirms, the phrase is considered grammatically correct.

Expression frequency: Common

Frequent in

Science

65%

Formal & Business

18%

News & Media

17%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "evidence-based decision making" is a grammatically correct and frequently used phrase, as confirmed by Ludwig AI, that describes a systematic approach to making choices informed by empirical evidence and data. It's commonly employed in scientific, academic, and business contexts to advocate for rational and objective decision-making processes. While widely accepted, it's important to recognize its limitations and avoid overstating its role, acknowledging that intuition and ethical considerations also contribute to effective decision-making.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data-driven decision making

Emphasizes the role of data as the primary driver of decisions, similar to evidence but with a focus on quantifiable information.

research-informed decision making

Highlights the importance of research findings in guiding decisions, stressing the academic aspect of evidence.

fact-based decision making

Stresses the reliance on verifiable facts as the basis for decisions, focusing on objectivity.

scientifically sound decision making

Implies decisions are rooted in scientific principles and methodologies, emphasizing rigor.

informed decision making

A broader term indicating that decisions are based on relevant information, which may include evidence.

empirically supported decision making

Focuses on the empirical nature of the evidence used, highlighting practical observation and experimentation.

analytically driven decision making

Highlights the role of analysis in processing evidence to inform decisions, with an emphasis on structured thinking.

knowledge-based decision making

Emphasizes the use of accumulated knowledge, rather than just immediate data, to guide choices.

rational decision making

Suggests decisions are made using reason and logic, often involving the consideration of evidence.

deliberative decision making

Focuses on a careful and thoughtful process of considering evidence and options before making a decision, emphasizing thoroughness.

FAQs

How can I implement "evidence-based decision making" in my organization?

Start by identifying the key decisions that need to be made, gathering relevant data and research, analyzing the evidence, and then using it to inform your choices. Foster a culture that values data and critical thinking.

What are the limitations of "evidence-based decision making"?

Limitations include the availability and quality of evidence, the potential for bias in research, the difficulty of applying research findings to real-world situations, and the time and resources required to gather and analyze evidence.

What's the difference between "evidence-based decision making" and "data-driven decision making"?

"Evidence-based decision making" is a broader term that encompasses all forms of evidence, including research, expert opinions, and data. "Data-driven decision making" specifically focuses on using quantifiable data to inform decisions.

When is it not appropriate to use "evidence-based decision making"?

In situations where there is limited or no available evidence, when decisions need to be made quickly under pressure, or when ethical or value-based considerations outweigh the importance of empirical data.