TY - JOUR
T1 - Translating Data Analytics Into Improved Spine Surgery Outcomes
T2 - A Roadmap for Biomedical Informatics Research in 2021
AU - Greenberg, Jacob K.
AU - Otun, Ayodamola
AU - Ghogawala, Zoher
AU - Yen, Po-Yin
AU - Molina, Camilo A.
AU - Limbrick, David D.
AU - Foraker, Randi
AU - Kelly, Michael P.
AU - Ray, Wilson Z.
N1 - Funding Information:
We thank Ms. Kelley Foyil for her assistance with manuscript proof reading and editing. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Dr. Ray reports: stock/equity in Acera surgical; consulting support from Depuy/Synthes, Globus, and Nuvasive; royalties from Depuy/Synthes, Nuvasive, Acera surgical. Dr. Kelly received personal fees from The Journal of Bone and Joint Surgery. Dr. Molina reported equity in Augmedics and consulting fees from Depuy/Synthes and Kuros. Dr. Greenberg was supported by an Early Career Award from the Thrasher Research Fund (Award #15024) and a National Research Service Award from the Agency for Healthcare Research and Quality (Award #1F32HS027075-01A1). Dr. Ray has no funding related to this work. Dr. Ray received research support from the Defense Advanced Research Projects Agency, Department of Defense, Missouri Spinal Cord Injury Foundation, National Institute of Health/NINDs, Hope Center, and Johnson & Johnson. Dr. Foraker received no funding specifically related to this study. Dr. Foraker reports research support from the Washington University Institute for Public Health, National Institutes of Health, Global Autoimmune Institute, Agency for Healthcare Research and Quality, Siteman Investment Program, Alzheimer’s Drug Discovery Foundation, and Children’s Discovery Institute. Dr. Ghogawala received no funding specific to this study. Dr. Ghogawala received research support from the Patient-Centered Outcomes Research Institute and the National Institutes of Health. Dr. Yen reported no funding related to this submission. Dr. Limbrick reported no funding related to this submission. Dr. Limbrick received research support from the National Institutes of Health, the Patient-Centered Outcomes Research Institute, the Hydrocephalus Association, Medtronic Inc., Karl Storz Inc., and Microbot Medical, Inc. Dr. Limbrick also received philanthropic equipment contributions for humanitarian relief work from Karl Storz, Inc. and Aesculap, Inc. Dr. Kelly reported no funding related to this submission. Dr. Kelly received research support from the Setting Scoliosis Straight Foundation and the International Spine Study Group Foundation. The funding sources for this study had no role in the study design, collection of the data, writing of the manuscript, or decision to submit the manuscript for publication.
Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Dr. Ray reports: stock/equity in Acera surgical; consulting support from Depuy/Synthes, Globus, and Nuvasive; royalties from Depuy/Synthes, Nuvasive, Acera surgical. Dr. Kelly received personal fees from The Journal of Bone and Joint Surgery. Dr. Molina reported equity in Augmedics and consulting fees from Depuy/Synthes and Kuros. Dr. Greenberg was supported by an Early Career Award from the Thrasher Research Fund (Award #15024) and a National Research Service Award from the Agency for Healthcare Research and Quality (Award #1F32HS027075-01A1). Dr. Ray has no funding related to this work. Dr. Ray received research support from the Defense Advanced Research Projects Agency, Department of Defense, Missouri Spinal Cord Injury Foundation, National Institute of Health/NINDs, Hope Center, and Johnson & Johnson. Dr. Foraker received no funding specifically related to this study. Dr. Foraker reports research support from the Washington University Institute for Public Health, National Institutes of Health, Global Autoimmune Institute, Agency for Healthcare Research and Quality, Siteman Investment Program, Alzheimer’s Drug Discovery Foundation, and Children’s Discovery Institute. Dr. Ghogawala received no funding specific to this study. Dr. Ghogawala received research support from the Patient-Centered Outcomes Research Institute and the National Institutes of Health. Dr. Yen reported no funding related to this submission. Dr. Limbrick reported no funding related to this submission. Dr. Limbrick received research support from the National Institutes of Health, the Patient-Centered Outcomes Research Institute, the Hydrocephalus Association, Medtronic Inc., Karl Storz Inc., and Microbot Medical, Inc. Dr. Limbrick also received philanthropic equipment contributions for humanitarian relief work from Karl Storz, Inc. and Aesculap, Inc. Dr. Kelly reported no funding related to this submission. Dr. Kelly received research support from the Setting Scoliosis Straight Foundation and the International Spine Study Group Foundation. The funding sources for this study had no role in the study design, collection of the data, writing of the manuscript, or decision to submit the manuscript for publication.
Publisher Copyright:
© The Author(s) 2021.
PY - 2022/6
Y1 - 2022/6
N2 - Study Design: Narrative review. Objectives: There is growing interest in the use of biomedical informatics and data analytics tools in spine surgery. Yet despite the rapid growth in research on these topics, few analytic tools have been implemented in routine spine practice. The purpose of this review is to provide a health information technology (HIT) roadmap to help translate data assets and analytics tools into measurable advances in spine surgical care. Methods: We conducted a narrative review of PubMed and Google Scholar to identify publications discussing data assets, analytical approaches, and implementation strategies relevant to spine surgery practice. Results: A variety of data assets are available for spine research, ranging from commonly used datasets, such as administrative billing data, to emerging resources, such as mobile health and biobanks. Both regression and machine learning techniques are valuable for analyzing these assets, and researchers should recognize the particular strengths and weaknesses of each approach. Few studies have focused on the implementation of HIT, and a variety of methods exist to help translate analytic tools into clinically useful interventions. Finally, a number of HIT-related challenges must be recognized and addressed, including stakeholder acceptance, regulatory oversight, and ethical considerations. Conclusions: Biomedical informatics has the potential to support the development of new HIT that can improve spine surgery quality and outcomes. By understanding the development life-cycle that includes identifying an appropriate data asset, selecting an analytic approach, and leveraging an effective implementation strategy, spine researchers can translate this potential into measurable advances in patient care.
AB - Study Design: Narrative review. Objectives: There is growing interest in the use of biomedical informatics and data analytics tools in spine surgery. Yet despite the rapid growth in research on these topics, few analytic tools have been implemented in routine spine practice. The purpose of this review is to provide a health information technology (HIT) roadmap to help translate data assets and analytics tools into measurable advances in spine surgical care. Methods: We conducted a narrative review of PubMed and Google Scholar to identify publications discussing data assets, analytical approaches, and implementation strategies relevant to spine surgery practice. Results: A variety of data assets are available for spine research, ranging from commonly used datasets, such as administrative billing data, to emerging resources, such as mobile health and biobanks. Both regression and machine learning techniques are valuable for analyzing these assets, and researchers should recognize the particular strengths and weaknesses of each approach. Few studies have focused on the implementation of HIT, and a variety of methods exist to help translate analytic tools into clinically useful interventions. Finally, a number of HIT-related challenges must be recognized and addressed, including stakeholder acceptance, regulatory oversight, and ethical considerations. Conclusions: Biomedical informatics has the potential to support the development of new HIT that can improve spine surgery quality and outcomes. By understanding the development life-cycle that includes identifying an appropriate data asset, selecting an analytic approach, and leveraging an effective implementation strategy, spine researchers can translate this potential into measurable advances in patient care.
KW - big data; spine surgery
KW - biomedical informatics
KW - data analytics
KW - health information technology
KW - implementation science
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85105855540&partnerID=8YFLogxK
U2 - 10.1177/21925682211008424
DO - 10.1177/21925682211008424
M3 - Review article
C2 - 33973491
AN - SCOPUS:85105855540
SN - 2192-5682
VL - 12
SP - 952
EP - 963
JO - Global Spine Journal
JF - Global Spine Journal
IS - 5
ER -