A N D R E W K T E N G
senior clinical healthcare data analyst   |   walgreens



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I have my PhD in Biomedical and Health Informatics with Data Science from the University of Washington School of Medicine. My advisor was Dr. Adam Wilcox and I explored how social and behavioral determinants of health can impact clinical disease risk and prediction models by extracting housing stability, tobacco use, and alcohol use concepts from clinical notes in the EHR, comparing data completeness with stuctured data sources such as ICD codes, and creating scores that were integrated with classic sepsis prediction methods. Currently, I am a Senior Clinical Healthcare Data Analyst in the Healthcare and Clinical Analytics Team at the Walgreens Boots Alliance, where I focus on health outcomes research, policy, and patient data analysis. Previously, I was a Senior Data Scientist at Providence under the REH Business Intelligence and Performance team where I worked to forecast and analyze supply chain data for the health organization. Before that, under the Swedish division of Providence, I was a Healthcare Data Analyst. Feel free to contact me if you would like to connect!


University of Washington (Seattle, WA) 
09/2017-06/2021
Biomedical and Health Informatics PhD 
Data Science Specialization
Advisor: Dr. Adam Wilcox (UW Chief Analytics Officer)

Awards: National Library of Medicine (NLM) Training Grant (2017-2020), Top Scholar Award - Durward and Susan Huckabay Endowed Fellowship (2017-2018)
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Georgia Institute of Technology (Atlanta, GA) 
08/2015-12/2016
Bioinformatics MS 
Mentor: Dr. Joseph Lachance (Assistant Professor - Biology)

Awards: Computational Biology Faculty Graduate Research Assistant Award (Spring 2016 and Fall 2016)

Summer internship: National Cancer Institute/ Division of Cancer Epidemiology and Genetics (DCEG)
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Emory University (Atlanta, GA) 
08/2012-05/2015
Mathematics and Computer Science BS 
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Epic Cogito Fundamentals
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Epic Clarity Data Model
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Epic Caboodle Data Model




CO-MAP-V: COVID-19 Massachussetts Map and Visualization Tool 
Class Project (CSE 583: Software Development for Data Scientists)

Used synthetic data from Synthea that was formatted in an OMOP Common Data model to visualize the start of a COVID-19 outbreak in Massachusetts. Created various visualizations, both geographical and statistical, to showcase a dashboard like design that allows users to explore and compare between months and counties. Visualizations were created using Plotly and arranged using Dash, the website uses Bootstrap and the dashboard application is hosted on Heroku allowing for final (and interactive) hosting on GitHub Pages.
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Visualizing Algorithmic Cause of Death Predictions 
Class Project (CSE 512: Data Visualization)

Used verbal autopsy data to visualize relationships between causes of death, symptoms, death, region, and algorithm. Four different and interactive visualizations were created using D3. All visualizations interact with each other in terms of dataset and can be used congruently to allow users a deeper exploration of the data from various perspectives.
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Predictive Analytics Solutions for Sepsis Patients in Acute Care 
Published a systematic review to see if there is an ideal predictive analytics solution for sepsis detection or mortality associated with sepsis by performing a literature search in PubMed to identify publications of current practices and studies that have used predictive analytics. Identified and categorized the characteristics of each study to verify inclusion, and then analyzed common themes and differences. We then reviewed the articles to identify key themes to better understand the issues in applying predictive analytics to sepsis detection.
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Virtual Online Communities for Aging Life Experiences (VOCALE) 
Currently on a team that is testing the feasibility and usability of using an online discussion platform for frail elderly adults to learn, manage, and cope with their changing symptoms. Tasks include pitching and recruiting qualified participants from various Seattle-area retirement communities and training them on using the discussion board in multiple one-on-one training sessions. Training materials (physical and digital training guide and video supplement) were created through an iterative process of speaking, observing, and interacting with a pilot group of elderly individuals.
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Extracting Social Determinants Information from Clinical Text Notes 
Creating an approachable method/framework that is generalizable to extract social determinants information (e.g. housing stability) from unstructured data sources in the EHR. Additionally, we will compare the quality of data that is extracted via natural language processing classification techniques with extracting structured data sources (e.g. ICD 9/10 codes).
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Using Log Data to Assess Authentication Behaviors 
Together with Jason Thomas, working with a local hospital to identify ways to help inform customized solutions of authentication while maintaining privacy and promoting standards across wards and staff.
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Leveraging Mobile Technologies to Communicate Genetic Testing Information 
Class Project (BIME 554: Biomedical Information Interactions and Design)
Performed workflow analysis and stakeholder interviews to identify points where mobile technologies could be leveraged to reduce workload on administrative staff, increase clinic efficiency and provide better services to patients. Team identified three major areas where changes patient in-take, insurance authorization and return of results. I created a potential design solution to revamp patient in-take by making an online tool accessible by patients that would collect family history and develop a patient pedigree.
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Monitoring and Visualizing of Strategic Health Issues: Creation of an Internal Dashboard for Benton County, WA 
Class Project (BIME 533: Public Health Informatics)

An internal dashboard was proposed to assist the Benton-Franklin Health District (BFHD) health officer monitor health trends within the community and assess the progress of interventions. By utilizing stakeholder interviews, the Visual Information Seeking Mantra, and user-centered design, the mockup dashboard presented data cleanly and effectively to allow for easy usability among users of varying health literacy.
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Applied Human Computational Genomics (AHCG) Pipeline 
Class Project (BIOL8803F: Human Computational Genomics)

Variant calling pipeline for automated genomic data analysis. Automated script performed variant call analysis and variant recalibration. End result created charts and a report.
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Genome characterization of human papillomavirus (HPV) 16 
Summer Project, Mentor: Dr. Kai Yu

Full genome analysis and exploration of HPV 16 to create a prediction model to forecast cervical cancer likelihood and risk. The primary focus was to identify the viral genetic basis of HPV carcinogenicity and to globally analyze the differences patients with and without cervical cancer through random forest classification.
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Advanced eICU Clinical Data Visualization Tool using FHIR 
Class Project (CS 6440: Introduction to Health Informatics)

Collaborated with the eICU department at Emory Healthcare. Helped to develop a FHIR adapter for the existing archiveDB (a reduced local copy of data) to create an exchange of FHIR compliant messages to and from the archiveDB of the eICU system.
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Development of a typing scheme for non-typeable H. influenzae 
Class Project (BIOL7210A: Computational Genomics)

Used unassembled genome sequence data from the Centers for Disease Control and Prevention (CDC) for computational genomics. Participated in two groups (gene prediction and functional annotation).
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Comparison of multi-compartmental models for the modeling of the 2014 Ebola epidemic 
Class Project (BME 8813: Biomedical and Health Informatics)

Used data from the World Health Organization (WHO), CDC, and Virginia Polytech Institute and State University. Compared and validated the prediction powers of various compartmental models. Created a MATLAB GUI ( video demo) to allow for easy comparison between models and countries of interest.
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Course reports on Biology Computes 
- Exome Analysis of a Finnish Female
- Analysis of the Early Stages of HIV-1 Infection on Components of the Human Immune Response
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The Use of Visual Methods to Support Communication with Older Adults with Cognitive Impairment 
Chen AT, Teng AK, Zhao J, Asirot MG, Turner AT
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Challenges and opportunities in conducting research with older adults with dementia during COVID‐19 and beyond 
Sharma RK, Teng AK, Asirot MG, Taylor JO, Borson S, Turner AT
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A Simplified Data Science Approach to Extract Social and Behavioral Determinants: A Retrospective Chart Review 
Teng AK, Wilcox AB
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Promoting Problem Solving About Health Management: A Mixed-Methods Pilot Evaluation of a Digital Health Intervention for Older Adults With Pre-Frailty and Frailty 
Chen AT, Chu F, Teng AK, Han S, Lin SY, Demiris G, Zaslavsky O
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Reactions to COVID-19, Information and Technology Use, and Social Connectedness among Older Adults with Pre-Frailty and Frailty 
Chen AT, Ge S, Cho S, Teng AK, Chu F, Demiris G, Zaslavsky O
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A Review of Predictive Analytics Solutions for Sepsis Patients 
Teng AK, Wilcox AB
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Using an Innovative Discussion Platform to Give Voice to Aging-Related Experiences: A Pilot Study 
Teng AK, Han S, Lin SY, Demiris G, Zaslavsky O, Chen AT
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Genetic disease risks can be misestimated across global populations 
Kim M, Patel K, Teng AK, Berens A, Lachance J
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Genetic hitchhiking and population bottlenecks contribute to prostate cancer disparities in men of African descent 
Lachance J, Berens A, Hansen MEB, Teng AK, Tishkoff SA, Rebbeck TR
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Housing Stability Phenotype Extracted from Clinical Text Notes and Diagnosis Codes 
American Medical Informatics Association (AMIA) 2020 Virtual Annual Symposium
Teng AK, Wilcox AB
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Extracting housing stability concepts from clinical text notes 
National Library of Medicine 2020 Virtual Informatics Training Conference
Teng AK, Wilcox AB
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Applying Text Classification Techniques to Locally Generated Clinical Notes 
American Medical Informatics Association (AMIA) 2020 Virtual Clinical Informatics Conference
Teng AK, Wilcox AB
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Virtual Online Communities for Aging Life Experiences 
National Library of Medicine 2019 Informatics Training Conference
Teng AK, Han S, Lin S, Demiris G, Zaslavsky O, Chen AT
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A Systematic Review of Predictive Analytics Solutions for Septic Patients 
American Medical Informatics Association (AMIA) 2019 Clinical Informatics Conference
Teng AK, Wilcox AB
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Contributed work presented by collaborators:

Assessing Authentication Behaviors to Inform Customized Solutions Using Log Data – While Maintaining Privacy and Promoting Standards 
American Medical Informatics Association (AMIA) 2020 Virtual Clinical Informatics Conference
Thomas JA, Teng AK, Roesner F, Wilcox AB, Ewell C (Presented by: Jason Thomas)
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Usability of an Online Discussion Platform: Development of a Coding Scheme 
The Gerontological Society of America 2019
Han S, Teng AK, Lin S, Chu F, Demiris G, Zaslavsky O, Chen AT (Presented by: Soojeong Han)
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VOCALE Approach: Pilot Studies 
The Gerontological Society of America 2019
Zaslavsky O, Chen AT, Teng AK, Lin S, Han S, Chu F, Demiris G (Presented by: Oleg Zaslavsky)
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Virtual Online Communities for Aging Life Experiences (VOCALE) 
International Conference on Frailty and Sarcopenia Research 2019
Zaslavsky O, Chen AT, Teng AK, Lin S, Han S, Demiris G (Presented by: Oleg Zaslavsky)
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Last Updated: 06 September 2022