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Michael L. Callihan

Researcher at Miami University Hamilton

Publications -  11
Citations -  35

Michael L. Callihan is an academic researcher from Miami University Hamilton. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 1, co-authored 1 publications receiving 16 citations.

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Assessing the Value of Large-Group Simulation in the Classroom

TL;DR: The results of this pilot study support large-group simulation as an effective alternative to lecture and may allow for increased integration of simulation within nursing curricula.
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Empirical Study on Human Movement Classification Using Insole Footwear Sensor System and Machine Learning

TL;DR: A plantar pressure sensor system integrated in the insoles of shoes to detect thirteen commonly used human movements including walking, stooping left and right, pulling a cart backward, squatting, descending, ascending stairs, running, and falling is presented.
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The Experiences of United States Emergency Nurses Related to Witnessed and Experienced Bias: A Mixed-Methods Study.

TL;DR: In this article , an exploratory, descriptive, sequential mixed-methods approach using online surveys and focus groups to generate study data was used to obtain a broad view of the knowledge, attitudes, beliefs, and lived experiences of emergency nurses regarding implicit and explicit bias.
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Role and Training of Emergency Department Charge Nurses: A Mixed Methods Analysis of Processes, Needs, and Expectations.

TL;DR: In this paper , the authors describe the experiences of emergency nurses related to training, preparation, and function of the charge nurse role, with divergent understandings of role, required education and experience, the need for situational awareness, and the acceptability of the nurse taking on other duties.
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Comparison of Slate Safety Wearable Device to Ingestible Pill and Wearable Heart Rate Monitor

TL;DR: The Slate Safety wearable device demonstrated accuracy in measuring core temperature and heart rate while not restricting the motion of the worker, and provided a remote monitoring platform for physiological parameters as mentioned in this paper . But, the wearable device was not designed for long-term use.