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Validity and Reliability

Fidelity means in a research study that you do the study exactly as you plan to do the study. It’s really crucial when you’re planning a study to set up what your sampling criteria are, what population you want your results to apply to, what your inclusion, exclusion criteria are. Where are you going to get the subjects for your study? What measurements are you going to get, when you’re going to get them, how you’re going to get them, by whom you’re going to get them. All of this is part of design and, once the study starts, nothing should change. It should be done exactly as you plan to do it. Fidelity is that the researchers do the study as they plan to do it.

To learn more from Dr. Helena Kraemer listen to the podcast episode below.

Part 1

Part 2

Click here for more Research Methodology Podcasts

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    Next-Generation Artificial Intelligence for Diagnosis: From Predicting Diagnostic Labels to "Wayfinding"

    Julia Adler-Milstein, PhD1; Jonathan H. Chen, MD, PhD; Gurpreet Dhaliwal, MD

    Improving the diagnostic process is a quality and safety priority.With the digitization of health records and rapid expansion of health data, the cognitive demand on the diagnostician has increased. The use of artificial intelligence (AI) to assist human cognition has the potential to reduce this demand and associated diagnostic errors. However, current AI tools have not realized this potential, due in part to the long-standing focus of these tools on predicting final diagnostic labels instead of helping clinicians navigate the dynamic refinement process of diagnosis. This Viewpoint highlights the importance of shifting the role of diagnostic AI from predicting labels to “wayfinding” (interpreting context and providing cues that guide the diagnostician).