The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a review
Patient Saf Surg. 2024 Mar 25;18(1):11. doi: 10.1186/s13037-024-00393-0.ABSTRACTMachine learning algorithms have the potential to significantly improve patient safety in spine surgeries by providing healthcare professionals with valuable insights and predictive analytics. These algorithms can analyze preoperative data, such as patient demographics, medical history, and imaging studies, to identify potential risk factors and predict postoperative complications. By leveraging machine learning, surgeons can make more informed decisions, personalize treatment plans, and optimize surgical techniques to minimize risks and enhanc...
Source: Patient Safety in Surgery - March 26, 2024 Category: Surgery Authors: Fatemeh Arjmandnia Ehsan Alimohammadi Source Type: research
The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a review
Patient Saf Surg. 2024 Mar 25;18(1):11. doi: 10.1186/s13037-024-00393-0.ABSTRACTMachine learning algorithms have the potential to significantly improve patient safety in spine surgeries by providing healthcare professionals with valuable insights and predictive analytics. These algorithms can analyze preoperative data, such as patient demographics, medical history, and imaging studies, to identify potential risk factors and predict postoperative complications. By leveraging machine learning, surgeons can make more informed decisions, personalize treatment plans, and optimize surgical techniques to minimize risks and enhanc...
Source: Patient Safety in Surgery - March 26, 2024 Category: Surgery Authors: Fatemeh Arjmandnia Ehsan Alimohammadi Source Type: research
The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a review
Patient Saf Surg. 2024 Mar 25;18(1):11. doi: 10.1186/s13037-024-00393-0.ABSTRACTMachine learning algorithms have the potential to significantly improve patient safety in spine surgeries by providing healthcare professionals with valuable insights and predictive analytics. These algorithms can analyze preoperative data, such as patient demographics, medical history, and imaging studies, to identify potential risk factors and predict postoperative complications. By leveraging machine learning, surgeons can make more informed decisions, personalize treatment plans, and optimize surgical techniques to minimize risks and enhanc...
Source: Patient Safety in Surgery - March 26, 2024 Category: Surgery Authors: Fatemeh Arjmandnia Ehsan Alimohammadi Source Type: research
The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a review
Patient Saf Surg. 2024 Mar 25;18(1):11. doi: 10.1186/s13037-024-00393-0.ABSTRACTMachine learning algorithms have the potential to significantly improve patient safety in spine surgeries by providing healthcare professionals with valuable insights and predictive analytics. These algorithms can analyze preoperative data, such as patient demographics, medical history, and imaging studies, to identify potential risk factors and predict postoperative complications. By leveraging machine learning, surgeons can make more informed decisions, personalize treatment plans, and optimize surgical techniques to minimize risks and enhanc...
Source: Patient Safety in Surgery - March 26, 2024 Category: Surgery Authors: Fatemeh Arjmandnia Ehsan Alimohammadi Source Type: research
The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a review
Patient Saf Surg. 2024 Mar 25;18(1):11. doi: 10.1186/s13037-024-00393-0.ABSTRACTMachine learning algorithms have the potential to significantly improve patient safety in spine surgeries by providing healthcare professionals with valuable insights and predictive analytics. These algorithms can analyze preoperative data, such as patient demographics, medical history, and imaging studies, to identify potential risk factors and predict postoperative complications. By leveraging machine learning, surgeons can make more informed decisions, personalize treatment plans, and optimize surgical techniques to minimize risks and enhanc...
Source: Patient Safety in Surgery - March 26, 2024 Category: Surgery Authors: Fatemeh Arjmandnia Ehsan Alimohammadi Source Type: research
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort study
CONCLUSION: The Rothman Index represents a sensitive predictor of unanticipated readmissions to ICU, associated with a significantly increased mortality and overall ICU and hospital length of stay. The Rothman Index should be considered as a real-time objective measure for prediction of a safe downgrade from ICU to a lower level of care.PMID:38454490 | PMC:PMC10921657 | DOI:10.1186/s13037-024-00391-2 (Source: Patient Safety in Surgery)
Source: Patient Safety in Surgery - March 8, 2024 Category: Surgery Authors: Philip F Stahel Kathy W Belk Samantha J McInnis Kathryn Holland Roy Nanz Joseph Beals Jaclyn Gosnell Olufunmilayo Ogundele Katherine S Mastriani Source Type: research
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort study
CONCLUSION: The Rothman Index represents a sensitive predictor of unanticipated readmissions to ICU, associated with a significantly increased mortality and overall ICU and hospital length of stay. The Rothman Index should be considered as a real-time objective measure for prediction of a safe downgrade from ICU to a lower level of care.PMID:38454490 | PMC:PMC10921657 | DOI:10.1186/s13037-024-00391-2 (Source: Patient Safety in Surgery)
Source: Patient Safety in Surgery - March 8, 2024 Category: Surgery Authors: Philip F Stahel Kathy W Belk Samantha J McInnis Kathryn Holland Roy Nanz Joseph Beals Jaclyn Gosnell Olufunmilayo Ogundele Katherine S Mastriani Source Type: research
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort study
CONCLUSION: The Rothman Index represents a sensitive predictor of unanticipated readmissions to ICU, associated with a significantly increased mortality and overall ICU and hospital length of stay. The Rothman Index should be considered as a real-time objective measure for prediction of a safe downgrade from ICU to a lower level of care.PMID:38454490 | PMC:PMC10921657 | DOI:10.1186/s13037-024-00391-2 (Source: Patient Safety in Surgery)
Source: Patient Safety in Surgery - March 8, 2024 Category: Surgery Authors: Philip F Stahel Kathy W Belk Samantha J McInnis Kathryn Holland Roy Nanz Joseph Beals Jaclyn Gosnell Olufunmilayo Ogundele Katherine S Mastriani Source Type: research
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort study
CONCLUSION: The Rothman Index represents a sensitive predictor of unanticipated readmissions to ICU, associated with a significantly increased mortality and overall ICU and hospital length of stay. The Rothman Index should be considered as a real-time objective measure for prediction of a safe downgrade from ICU to a lower level of care.PMID:38454490 | PMC:PMC10921657 | DOI:10.1186/s13037-024-00391-2 (Source: Patient Safety in Surgery)
Source: Patient Safety in Surgery - March 8, 2024 Category: Surgery Authors: Philip F Stahel Kathy W Belk Samantha J McInnis Kathryn Holland Roy Nanz Joseph Beals Jaclyn Gosnell Olufunmilayo Ogundele Katherine S Mastriani Source Type: research
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort study
CONCLUSION: The Rothman Index represents a sensitive predictor of unanticipated readmissions to ICU, associated with a significantly increased mortality and overall ICU and hospital length of stay. The Rothman Index should be considered as a real-time objective measure for prediction of a safe downgrade from ICU to a lower level of care.PMID:38454490 | PMC:PMC10921657 | DOI:10.1186/s13037-024-00391-2 (Source: Patient Safety in Surgery)
Source: Patient Safety in Surgery - March 8, 2024 Category: Surgery Authors: Philip F Stahel Kathy W Belk Samantha J McInnis Kathryn Holland Roy Nanz Joseph Beals Jaclyn Gosnell Olufunmilayo Ogundele Katherine S Mastriani Source Type: research
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort study
CONCLUSION: The Rothman Index represents a sensitive predictor of unanticipated readmissions to ICU, associated with a significantly increased mortality and overall ICU and hospital length of stay. The Rothman Index should be considered as a real-time objective measure for prediction of a safe downgrade from ICU to a lower level of care.PMID:38454490 | PMC:PMC10921657 | DOI:10.1186/s13037-024-00391-2 (Source: Patient Safety in Surgery)
Source: Patient Safety in Surgery - March 8, 2024 Category: Surgery Authors: Philip F Stahel Kathy W Belk Samantha J McInnis Kathryn Holland Roy Nanz Joseph Beals Jaclyn Gosnell Olufunmilayo Ogundele Katherine S Mastriani Source Type: research
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort study
CONCLUSION: The Rothman Index represents a sensitive predictor of unanticipated readmissions to ICU, associated with a significantly increased mortality and overall ICU and hospital length of stay. The Rothman Index should be considered as a real-time objective measure for prediction of a safe downgrade from ICU to a lower level of care.PMID:38454490 | PMC:PMC10921657 | DOI:10.1186/s13037-024-00391-2 (Source: Patient Safety in Surgery)
Source: Patient Safety in Surgery - March 8, 2024 Category: Surgery Authors: Philip F Stahel Kathy W Belk Samantha J McInnis Kathryn Holland Roy Nanz Joseph Beals Jaclyn Gosnell Olufunmilayo Ogundele Katherine S Mastriani Source Type: research
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort study
CONCLUSION: The Rothman Index represents a sensitive predictor of unanticipated readmissions to ICU, associated with a significantly increased mortality and overall ICU and hospital length of stay. The Rothman Index should be considered as a real-time objective measure for prediction of a safe downgrade from ICU to a lower level of care.PMID:38454490 | PMC:PMC10921657 | DOI:10.1186/s13037-024-00391-2 (Source: Patient Safety in Surgery)
Source: Patient Safety in Surgery - March 8, 2024 Category: Surgery Authors: Philip F Stahel Kathy W Belk Samantha J McInnis Kathryn Holland Roy Nanz Joseph Beals Jaclyn Gosnell Olufunmilayo Ogundele Katherine S Mastriani Source Type: research
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort study
CONCLUSION: The Rothman Index represents a sensitive predictor of unanticipated readmissions to ICU, associated with a significantly increased mortality and overall ICU and hospital length of stay. The Rothman Index should be considered as a real-time objective measure for prediction of a safe downgrade from ICU to a lower level of care.PMID:38454490 | PMC:PMC10921657 | DOI:10.1186/s13037-024-00391-2 (Source: Patient Safety in Surgery)
Source: Patient Safety in Surgery - March 8, 2024 Category: Surgery Authors: Philip F Stahel Kathy W Belk Samantha J McInnis Kathryn Holland Roy Nanz Joseph Beals Jaclyn Gosnell Olufunmilayo Ogundele Katherine S Mastriani Source Type: research
The Rothman Index predicts unplanned readmissions to intensive care associated with increased mortality and hospital length of stay: a propensity-matched cohort study
CONCLUSION: The Rothman Index represents a sensitive predictor of unanticipated readmissions to ICU, associated with a significantly increased mortality and overall ICU and hospital length of stay. The Rothman Index should be considered as a real-time objective measure for prediction of a safe downgrade from ICU to a lower level of care.PMID:38454490 | PMC:PMC10921657 | DOI:10.1186/s13037-024-00391-2 (Source: Patient Safety in Surgery)
Source: Patient Safety in Surgery - March 8, 2024 Category: Surgery Authors: Philip F Stahel Kathy W Belk Samantha J McInnis Kathryn Holland Roy Nanz Joseph Beals Jaclyn Gosnell Olufunmilayo Ogundele Katherine S Mastriani Source Type: research
