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Related Concept Videos

Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Reason and Intuition01:37

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Decision Making: Traditional Method01:14

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
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Heuristics01:21

Heuristics

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Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
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Non-equilibrium in the Cell01:16

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Artificial Intelligence Approaches to Assessing Primary Cilia
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How artificial intelligence can help us 'Choose Wisely'.

Nishila Mehta1,2, Karen Born3,4, Benjamin Fine5,6,7

  • 1Temerty Faculty of Medicine, King's College Cir, Toronto, ON, M5S 1A8, Canada. nishila.mehta@mail.utoronto.ca.

Bioelectronic Medicine
|April 21, 2021
PubMed
Summary
This summary is machine-generated.

Reducing low-value medical care is crucial. AI-enabled clinical decision support (CDS) offers a powerful, integrated approach to minimize unnecessary tests and treatments, improving patient outcomes and lowering healthcare costs.

Keywords:
Artificial intelligenceClinical decision supportQuality improvementResource stewardship

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Area of Science:

  • Health Services Research
  • Medical Informatics
  • Artificial Intelligence in Medicine

Background:

  • Overuse of low-value medical tests and treatments increases healthcare costs and can lead to patient harm.
  • Current overuse reduction strategies, like Choosing Wisely campaigns, often use passive methods with limited effectiveness.
  • Integrating clinical guidelines into electronic health records via clinical decision support (CDS) offers a more reliable system change.

Purpose of the Study:

  • To outline opportunities for using artificial intelligence (AI)-enabled CDS to reduce the overuse of low-value medical care.
  • To present these opportunities mapped to a patient's care journey.
  • To highlight AI's potential to enhance CDS for better clinical decision-making.

Main Methods:

  • Literature review and conceptual framework development.
  • Analysis of AI capabilities in augmenting CDS functionalities.
  • Structuring AI-driven CDS opportunities along the patient care pathway.

Main Results:

  • Identification of multiple points within the patient journey where AI-enabled CDS can intervene to curb overuse.
  • Demonstration of how AI can enhance CDS by providing more sophisticated, context-aware ordering suggestions.
  • Emphasis on embedding AI-powered CDS directly into clinical workflows for maximum impact.

Conclusions:

  • AI-enabled CDS represents a significant advancement over traditional methods for reducing low-value care.
  • Implementing AI in CDS can lead to more efficient, cost-effective, and safer healthcare delivery.
  • A strategic roadmap is essential for leveraging AI to its full potential in combating medical overuse.