Teja Ganta
Rutgers University
15 Papers
2 Citations
Teja Ganta is an academic researcher from Rutgers University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 2, co-authored 2 publications.
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Papers
Is reduction of tumor burden sufficient for the 21st century
TL;DR: The review does not trivialize the problem since it is acknowledged that the tumors and cells within the tissue microenvironment would interact through complex mechanisms, and there is a problem of possible untoward effect for the simultaneous delivery of multiple drugs to a single cancer patient.
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Human-centered design to improve clinical decision support systems (CDSS) to engage in serious illness communication (SIC) with patients with cancer in a gastrointestinal oncology clinic.
Teja Ganta,Stephanie Lehrman,Irena Durkovic,Jessica Royer,Brooke Tsembelis,Mark Liu,Robbie Freeman,Arash Kia,Prathamesh Parchure,Alla Keyzner,Mayuri Jain,Madhu Mazumdar,Sofya Pintova,Aarti Bhardwaj,Cardinale B. Smith +14 more
TL;DR: A workgroup format is a feasible method to continuously review acceptability of a ML-powered CDSS and may evaluate critical feedback from end users in a holistic manner that can augment a data driven evaluation of the model performance.
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Acceptability of a machine learning-powered clinical decision support system aiding serious illness conversation and its impact on clinical outcomes: A pilot study.
Teja Ganta,Stephanie Lehrman,Rachel Pappalardo,Irena Durkovic,Shira Lichtman,Brooke Tsembelis,Mark Liu,Robbie Freeman,Arash Kia,Prathamesh Parchure,Alla Keyzner,Madhu Mazumdar,Aarti Bhardwaj,Cardinale B. Smith +13 more
TL;DR: A 30-day mortality predictive model using a machine learning algorithm and integrated into a clinical decision support system (CDSS) that encourages clinicians to use the serious illness conversation (SIC) guide was adopted by the oncology care team within a reasonable timeframe.
Proceedings Article
Oncologist Opinion and Use of a Machine Learning-Powered Clinical Decision Support System to Aid Serious Illness Conversations for Lung Cancer Patients
Teja Ganta,Stephanie Lehrman,Rachel Pappalardo,Irena Durkovic,Shira Lichtman,Damon Czarnecki,Brooke Tsembelis,Mark Liu,Joseph L. Kannry,Robbie Freeman,Mirhandi Arash Kia,Prathamesh Parchure,Hsin-Hui Huang,Alla Keyzner,Madhu Mazumdar,Aarti Bhardwaj,Cardinale B. Smith +16 more
Oncologist-driven development of an electronic health record (EHR) clinical data visualization tool for prostate cancer.
Teja Ganta,Jonathan F. Anker,Eric J. Miller,Joseph L. Kannry,Aarti Bhardwaj,Kai Tsao,William Oh +6 more
TL;DR: In this paper , the authors describe a framework for oncologist-driven development of a data visualization tool to trend cancer biomarkers and assess the feasibility of this tool to query and display EHR data relevant for the treatment of prostate cancer.