| Both sides previous revision
Previous revision
Next revision
|
Previous revision
Last revision
Both sides next revision
|
clinical-informatics [2019/10/10 17:22]
shyam [Clinical Informatics] |
clinical-informatics [2019/10/13 09:28]
shyam [Example projects] |
| ===== Clinical Informatics ===== | ===== Clinical Informatics ===== |
| |
| Clinical informatics is the application of informatics principles and methods in the delivery healthcare services. In particular, development of predictive and causal models using artificial intelligence and machine learning and their use in clinical decision-making at the point of care is an area that will grow dramatically in the near future. Such models will likely improve computerized clinical decision support tools considerably in the coming decade. The [[http://www.ccri.thevislab.com/|Center for Clinical Research Informatics (CCRI)]] in the [[http://www.dbmi.pitt.edu/|Department of Biomedical Informatics]] focuses on the development of clinical decision support systems that each aid in a very specific task and are powered by predictive and causal models. | Clinical informatics is the application of computing methods including artificial intelligence in the delivery healthcare services. Predictive and causal models using big data and artificial intelligence will be increasingly used in clinical decision-making. These models will power a new generation of clinical decision support tools in the coming decade. The [[http://www.ccri.thevislab.com/|Center for Clinical Research Informatics (CCRI)]] in the [[http://www.dbmi.pitt.edu/|Department of Biomedical Informatics]] focuses on the development of clinical decision support tools that aid in very specific clinical tasks and are powered by predictive and causal models. |
| ==== Example projects ==== | ==== Example projects ==== |
| * The [[http://www.thevislab.com/lab/doku.php?id=lemr|Learning Electronic Medical Record (LEMR) system]] is an intelligent EMR system that highlights relevant patient data in the EMR in the Intensive Care Unit. The LEMR system uses predictive models to draw the physician’s attention to the right data of the right patient at the right time. | * The [[http://www.thevislab.com/lab/doku.php?id=lemr|Learning Electronic Medical Record (LEMR) system]] is an intelligent EMR system that highlights relevant patient data in the EMR in the Intensive Care Unit. The LEMR system uses predictive models to draw the physician’s attention to the right data of the right patient at the right time. |
| * Deciding whether to attempt salvage of an infected central venous catheter (CVC) can be challenging. We are developing predictive models to predict retention of CVC lines. A clinical decision support tool that is powered by predictive models will help clinicians in making decisions about infected CVC lines. | * Deciding whether to attempt salvage of an infected central venous catheter (CVC) can be challenging. We are developing predictive models to predict retention of CVC lines. A clinical decision support tool that is powered by predictive models will help clinicians in making decisions about infected CVC lines. |
| |
| * Realtime intraoperative neurophysiological monitoring is used to identify cerebral ischemia during complex operations on the brain and heart. We are developing predictive models to predict ischemia using intraoperative electroencephalographic (EEG) monitoring. A clinical decision support tool that is powered by predictive models will aid neurophysiologists who do intraoperative monitoring. | * Realtime intraoperative neurophysiological monitoring is used to identify adverse brain events during surgical procedures. We are developing predictive models to identify adverse events using intraoperative neurophysiological monitoring. A clinical decision support tool that is powered by predictive models will aid neurophysiologists in intraoperative monitoring. |
| |
| ==== Opportunities for research are available at various stages of training ==== | ==== Opportunities for research are available at various stages of training ==== |