Methods to identify and prioritize research projects and perform embedded research in learning healthcare systems
The Embedded Healthcare Research Conference aimed to promote and enhance research-operations partnerships in diverse health care settings. Within this conference, the Priorities and Methods Workgroup set out to define a vision of embedded research that leverages diverse methods to address clearly ar...
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Veröffentlicht in: | Healthcare : the journal of delivery science and innovation 2020-12, Vol.8 (4), p.100476-100476, Article 100476 |
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creator | Osuji, Thearis A. Frantsve-Hawley, Julie Jolles, Monica Perez Kitzman, Heather Parry, Carly Gould, Michael K. Adams, John Adirim, Terry Black, Heather Cohen, Deborah Glass, David Gould, Michael Gupta, Reshma Frantsve-Hawley, Julie Holtrop, Jodi Jolles, Monica Perez Kerr, Eve Kimmel, Stephen Kitzman, Heather Lieu, Tracy Mittman, Brian Nguyen, Huong Osuji, Thearis Parry, Carly Rubenstein, Lisa Solberg, Leif |
description | The Embedded Healthcare Research Conference aimed to promote and enhance research-operations partnerships in diverse health care settings. Within this conference, the Priorities and Methods Workgroup set out to define a vision of embedded research that leverages diverse methods to address clearly articulated research questions of importance to health systems.
The Workgroup session involved a combination of small and large group discussions around three broadly focused topics: the integration of embedded research within the existing quality improvement (QI) ecosystem; the identification, prioritization and formulation of embedded research questions; the creation of an embedded research “tool kit.”
Workgroup participants envisioned a future for embedded research that is characterized by authentic engagement between researchers and health system leaders; seamless integration between research, QI and clinical operations; clear and explicit articulation of research questions; an appropriate balance between rigor and relevance in applied methodology; alignment between study design, available resources and the importance of the knowledge to be gained; efficient processes; and bi-directional communication. Important barriers to achieving this vision include limited access to executive leaders, silos that discourage integration of research and QI, generally low tolerance for disruption in high-risk clinical settings, limited access to data, and limited availability of researchers with requisite skills and training.
Embedded research holds potential to enhance the relevance, value and use of research, while also creating generalizable knowledge. Key recommendations include building authentic relationships, discouraging silos, encouraging innovation and experimentation, and expanding opportunities for funding research in delivery systems. |
doi_str_mv | 10.1016/j.hjdsi.2020.100476 |
format | Article |
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The Workgroup session involved a combination of small and large group discussions around three broadly focused topics: the integration of embedded research within the existing quality improvement (QI) ecosystem; the identification, prioritization and formulation of embedded research questions; the creation of an embedded research “tool kit.”
Workgroup participants envisioned a future for embedded research that is characterized by authentic engagement between researchers and health system leaders; seamless integration between research, QI and clinical operations; clear and explicit articulation of research questions; an appropriate balance between rigor and relevance in applied methodology; alignment between study design, available resources and the importance of the knowledge to be gained; efficient processes; and bi-directional communication. Important barriers to achieving this vision include limited access to executive leaders, silos that discourage integration of research and QI, generally low tolerance for disruption in high-risk clinical settings, limited access to data, and limited availability of researchers with requisite skills and training.
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The Workgroup session involved a combination of small and large group discussions around three broadly focused topics: the integration of embedded research within the existing quality improvement (QI) ecosystem; the identification, prioritization and formulation of embedded research questions; the creation of an embedded research “tool kit.”
Workgroup participants envisioned a future for embedded research that is characterized by authentic engagement between researchers and health system leaders; seamless integration between research, QI and clinical operations; clear and explicit articulation of research questions; an appropriate balance between rigor and relevance in applied methodology; alignment between study design, available resources and the importance of the knowledge to be gained; efficient processes; and bi-directional communication. Important barriers to achieving this vision include limited access to executive leaders, silos that discourage integration of research and QI, generally low tolerance for disruption in high-risk clinical settings, limited access to data, and limited availability of researchers with requisite skills and training.
Embedded research holds potential to enhance the relevance, value and use of research, while also creating generalizable knowledge. 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Within this conference, the Priorities and Methods Workgroup set out to define a vision of embedded research that leverages diverse methods to address clearly articulated research questions of importance to health systems.
The Workgroup session involved a combination of small and large group discussions around three broadly focused topics: the integration of embedded research within the existing quality improvement (QI) ecosystem; the identification, prioritization and formulation of embedded research questions; the creation of an embedded research “tool kit.”
Workgroup participants envisioned a future for embedded research that is characterized by authentic engagement between researchers and health system leaders; seamless integration between research, QI and clinical operations; clear and explicit articulation of research questions; an appropriate balance between rigor and relevance in applied methodology; alignment between study design, available resources and the importance of the knowledge to be gained; efficient processes; and bi-directional communication. Important barriers to achieving this vision include limited access to executive leaders, silos that discourage integration of research and QI, generally low tolerance for disruption in high-risk clinical settings, limited access to data, and limited availability of researchers with requisite skills and training.
Embedded research holds potential to enhance the relevance, value and use of research, while also creating generalizable knowledge. Key recommendations include building authentic relationships, discouraging silos, encouraging innovation and experimentation, and expanding opportunities for funding research in delivery systems.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.hjdsi.2020.100476</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-0044-8994</orcidid><orcidid>https://orcid.org/0000-0002-8342-4655</orcidid><oa>free_for_read</oa></addata></record> |
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title | Methods to identify and prioritize research projects and perform embedded research in learning healthcare systems |
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