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clinical-informatics [2017/10/29 20:58]
shyam |
clinical-informatics [2019/10/10 17:22]
shyam [Clinical Informatics] |
| ===== Clinical Informatics ===== | ===== Clinical Informatics ===== |
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| Clinical informatics is the applications of informatics principles and methods in the delivery healthcare services. This includes advanced electronic medical record (EMR) systems, computerized clinical decision support systems, wearable technology and mobile health (mHealth) applications, and reuse of EMR, study and molecular data for improving healthcare delivery. In [[http://www.dbmi.pitt.edu/|Department of Biomedical Informatics]], the focus is on development and application of artificial intelligence, computational and data science methods to advance clinical informatics. Two departmental centers provide training, staff, and resources. The [[http://www.cci.thevislab.com/|Center for Clinical Informatics (CCI)]] is focused on focused on the application of informatics to deliver healthcare services. The [[http://www.ccri.thevislab.com/|Center for Clinical Research Informatics (CCRI)]] is focused on the application of informatics for the reuse of clinical, mHealth, molecular and research data to enable clinical, translational, and informatics research. | 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. |
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| ==== Areas of research include ==== | ==== Example projects ==== |
| * developing intelligent electronic medical record systems | * 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. |
| * developing clinical decision support systems for alerting on anomalous physician orders, prediction of readmission, | |
| * personalized modeling for precision medicine that includes developing algorithms for predicting clinical outcomes and sub-phenotyping | * 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. |
| * providing explanations for predictions by statistical and machine learning models | |
| * developing decision support using wearable technology and mobile health (mHealth) applications | * 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. |
| * approaches to close the Learning Health System loop | |
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| ==== Opportunities for research are available at various stages of training ==== | ==== Opportunities for research are available at various stages of training ==== |
| * For residents and fellows through research rotations | * For residents and fellows through research rotations |
| * For graduate students in [[http://www.dbmi.pitt.edu/training-programs|biomedical informatics]], the [[http://www.isp.pitt.edu/|Intelligent System Program (ISP)]], and [[https://cs.pitt.edu/|computer science]] | * For graduate students in [[http://www.dbmi.pitt.edu/training-programs|biomedical informatics]], the [[http://www.isp.pitt.edu/|Intelligent System Program (ISP)]], and [[https://cs.pitt.edu/|computer science]] |
| | * For post-docs with graduate training in biomedical informatics, computer science, artificial intelligence, statistics, machine learning and related disciplines |
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| ==== Knowledge and skills in the following areas are desired ==== | ==== Knowledge and skills in the following areas are desired ==== |
| * Probability and statistics | * Probability and statistics |
| * Computer science and programming | * Computer science and programming |
| * Machine learning and data science | * Artificial intelligence and machine learning |
| * Experience with medical data (especially EMR data) | * Experience with medical data |
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| ==== Contact ==== | ==== Contact ==== |