Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics
Dutta-Moscato J, Gopalakrishnan V, Lotze MT, Becich MJ. Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics. J Pathol Inform. 2014 Mar 28;5(1):12. doi: 10.4103/2153-3539.129448. eCollection 2014. PMID: 24860688. PMCID: PMC4030307.
This editorial provides insights into how informatics can attract highly trained students by involving them in science, technology, engineering, and math (STEM) training at the high school level and continuing to provide mentorship and research opportunities through the formative years of their education. Our central premise is that the trajectory necessary to be expert in the emergent fields in front of them requires acceleration at an early time point. Both pathology (and biomedical) informatics are new disciplines which would benefit from involvement by students at an early stage of their education. In 2009, Michael T Lotze MD, Kirsten Livesey (then a medical student, now a medical resident at University of Pittsburgh Medical Center (UPMC)), Richard Hersheberger, PhD (Currently, Dean at Roswell Park), and Megan Seippel, MS (the administrator) launched the University of Pittsburgh Cancer Institute (UPCI) Summer Academy to bring high school students for an 8 week summer academy focused on Cancer Biology. Initially, pathology and biomedical informatics were involved only in the classroom component of the UPCI Summer Academy. In 2011, due to popular interest, an informatics track called Computer Science, Biology and Biomedical Informatics (CoSBBI) was launched. CoSBBI currently acts as a feeder program for the undergraduate degree program in bioinformatics at the University of Pittsburgh, which is a joint degree offered by the Departments of Biology and Computer Science. We believe training in bioinformatics is the best foundation for students interested in future careers in pathology informatics or biomedical informatics. We describe our approach to the recruitment, training and research mentoring of high school students to create a pipeline of exceptionally well-trained applicants for both the disciplines of pathology informatics and biomedical informatics. We emphasize here how mentoring of high school students in pathology informatics and biomedical informatics will be critical to assuring their success as leaders in the era of big data and personalized medicine.
The specific aims are to develop interventions to improve function and independence in older adults with balance disorders, integrate studies of physiologic, biomechanical, and psychosocial mechanisms affecting balance with clinical studies, and foster multidisciplinary research and research training.
Pilot study to determine the feasibility of using telemedicine to assist nurse practitioners with managing acute change in condition and palliative care assessments of nursing home residents
The primary goal of this quality improvement project is to determine the feasibility of using telemedicine to assist nurse practitioners with managing acute change in condition and palliative care assessments of UPMC nursing home patients. To assess feasibility, we intend to utilize web-based surveys to quantify the perception of these services in terms of quality of the medical care provided, quality of the equipment used, and perceived barriers to implementation, both before and following each telemedicine encounter.
Reduce AVoidable hospitalizations using Evidence-based interventions for Nursing facilities in Western Pennsylvania (RAVEN).
UPMC will implement an intervention in 19 nursing facilities in the western region of Pennsylvania. UPMC Community Provider Services has created a program called “RAVEN” (Reduce AVoidable hospitalizations using Evidence-based interventions for Nursing facilities in western Pennsylvania).
Transforming the role of the hospital pharmacist to improve patients’ access, adherence, and self-management of medication after discharge
The goal of this quality improvement initiative is to enhance and evaluate a recently implemented pharmacy patient-care model at UPMC-Presbyterian Shadyside using a tool that will enable the pharmacist to engage the patient in the process of shared decision-making for medication self-management.
Improving the Identification of Actionable Adverse Drug Events Associated with Acute Kidney Injury in Nursing Homes
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The Vis Lab is focused on the application of artificial intelligence and machine learning to problems in the Learning Health System (LHS) that include: 1) development of a learning Electronic Medical Record (LEMR) system, 2) precision medicine and personalized modeling, 3) reuse of Electronic Medical Record (EMR) data for clinical, translational, and informatics research, 4) data mining and causal discovery from biomedical data, and 5) automated visual analytics.
Critical Care Medication Safety Officer
Department of Pharmacy
University of Pittsburgh Medical Center
School of Pharmacy
Health Policy and Management
Department of Biomedical Informatics, School of Medicine
Intelligent Systems Program, Kenneth P. Dietrich School of Arts and Sciences
Associate Director, RFID Center of Excellence