Innovative Research Methods: Using Simulation to Evaluate Health Care Policy
Health care policies have the potential to improve patient outcomes, access to care, and reduce health disparities. However, new policy is often tested in the field, where unintended consequences are paid for by patients. In this perspective, we argue that health care simulations, which can elucidat...
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| Veröffentlicht in: | Simulation in healthcare : journal of the Society for Medical Simulation Jg. 19; H. 3; S. 176 |
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| Sprache: | Englisch |
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United States
01.06.2024
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| ISSN: | 1559-713X, 1559-713X |
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| Abstract | Health care policies have the potential to improve patient outcomes, access to care, and reduce health disparities. However, new policy is often tested in the field, where unintended consequences are paid for by patients. In this perspective, we argue that health care simulations, which can elucidate the potential for policy to hinder clinicians' ability to provide high-quality care, are a complement to large-scale policy evaluations in the field. |
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| AbstractList | Health care policies have the potential to improve patient outcomes, access to care, and reduce health disparities. However, new policy is often tested in the field, where unintended consequences are paid for by patients. In this perspective, we argue that health care simulations, which can elucidate the potential for policy to hinder clinicians' ability to provide high-quality care, are a complement to large-scale policy evaluations in the field.SUMMARY STATEMENTHealth care policies have the potential to improve patient outcomes, access to care, and reduce health disparities. However, new policy is often tested in the field, where unintended consequences are paid for by patients. In this perspective, we argue that health care simulations, which can elucidate the potential for policy to hinder clinicians' ability to provide high-quality care, are a complement to large-scale policy evaluations in the field. Health care policies have the potential to improve patient outcomes, access to care, and reduce health disparities. However, new policy is often tested in the field, where unintended consequences are paid for by patients. In this perspective, we argue that health care simulations, which can elucidate the potential for policy to hinder clinicians' ability to provide high-quality care, are a complement to large-scale policy evaluations in the field. |
| Author | Green, Ellen P Dong, Yue Shah, Nilay D |
| Author_xml | – sequence: 1 givenname: Ellen P surname: Green fullname: Green, Ellen P organization: From the College of Health Solutions (E.G.), Arizona State University, Phoenix, AZ; Department of Anesthesiology and Perioperative Medicine (Y.D.), Mayo Clinic, Rochester, MN; and Health Analytics and Innovation (N.S.), Delta Airlines, Rochester, MN – sequence: 2 givenname: Yue orcidid: 0000-0002-1737-6536 surname: Dong fullname: Dong, Yue – sequence: 3 givenname: Nilay D surname: Shah fullname: Shah, Nilay D |
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| Title | Innovative Research Methods: Using Simulation to Evaluate Health Care Policy |
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