A brief overview of training, credentials and experience

1. Valmeek Kudesia, MD
Physician, Engineer and Informatician
Professional Summary

2. Graffiti outside Longwood medical campus.
Photograph by Valmeek Kudesia 2010

3. Executive Summary
● Physician, engineer, and clinical informatician
● Thrives in overlap of clinical, technical, and
administrative domains in healthcare
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Forges collaboration with varied stakeholders in healthcare
Guides interdisciplinary teams to implement clinical analytics & LEAN
practices
● Equips healthcare networks with platforms,
tools, and processes that support a learning
healthcare system

4. Education and Training
MS, Biomedical
Informatics
Harvard Medical School
NLM-funded fellow
focus in Clinical Informatics
2011-2013
Internal Medicine
Residency
Boston University Medical Center
2008-2011
Doctor of Medicine
(MD)
Boston University
School of Medicine
(engineering-medicine program)
2004-2008
BS, Biomedical
Engineering
Boston University
College of Engineering
Summa cum laude
2000-2004

5. Clinical Credentials
License & Credentials
Medical Practice
● MA Medical License 2011
● Board Certified Internal
Medicine 2011
● Board Certified Clinical
Informatics 2014
● VA Staff Internist
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2014-current
Hospital attending
General Medical teaching service
● Urgent Care
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2011-current
● Residency
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2008-2011
Medicine, Boston University Medical
Center

6. Technical Skills
● Programming Languages & Platforms
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R, Java, Python, Perl, C++, C#, SQL, NO-SQL, HTML5
Android mobile, web-based SOA, linux
● Informatics Techniques
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Clinical NLP, machine-learning, ontologies, UI design
Map/Reduce & other Big Data patterns, data & information
visualization
● EHR Experience
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HL7 standards, interoperability practices, CIE/HIE utilization,

7. Operations Skills
● Direction of interdisciplinary clinical,
technical, and administrative groups
● Clinical and operations applications of
Health-IT, Clinical Informatics, and Clinical
Analytics
● Structured analysis of healthcare systems
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LEAN, PDSA cycles, root-cause analysis

8. Experience Summary
Summary of Selected Projects

9. Precision Oncology
● Develop infrastructure and change process
to manage cancer genomics in Northeast
VA’s clinical laboratories and EHR
● Clinical BI platform for utilization and
clinical-effectiveness
● Infrastructure to distribute molecular
oncology expertise to VA centers (planned)
● NLP and ML for difficult to capture clinical
events and overall trajectory of cancer care
(planned)

10. Automated Measure of Healthcare
Associated Infections
● Clinical NLP and machine learning
● Detects urinary catheters and infections
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text from progress notes & microbiology cultures
structured EHR vitals & laboratory tests
● Extends capacity of Infection Control staff
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saves time over manual chart review
reduces need for additional FTE for data collection
● References
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Kudesia, V, D'Avolio, L. “Identifying Catheter Associated Urinary Tract Infections with
NLP and Machine-Learning Techniques While Embedded in Live Clinical Operations.”
Symposium of the American Medical Informatics Association, 2012. Nominated for
distinguished poster.
Kudesia V, Strymish J, D'Avolio L, Gupta K.. “Natural language processing to identify
foley catheter-days.” Infection control and hospital epidemiology 2012 Dec;33(12):12702.

11. Emergent Airway Notification
Process
● Described Anesthesia
●
●
●
service emergency
utilization
Integrated feedback
from "on the ground"
Mapped current
workflow & most
common errors
Proposed new robust
workflow that reduces
confusion and tracks
errors

12. HIE-based Influenza Monitor &
Population Management
● Influenza Monitor
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Streams flu-related clinical and
epidemiological data
Displays influenza-related
admissions, antiviral usage,
vaccinations
● Population Management
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Supports population based searches
across CIE/HIE.
Supports CQI studies
● Reference
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Kudesia, V, Newman, D. “HIE Utilization to
Coordinate and Track Seasonal and H1N1 Flu
Vaccination.” NLM Training Conference, 2012.

13. Critical Care Air Transport
Physical Exam User Interface
● Developed for
flight paramedics
● Document physical
exam findings
● Reference
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N. Hashmi, D. Corwin, D. Myung, M.
Gaynor, V. Kudesia, W. Tollefsen, S.
Ganesan, S. Moulton, "Embedding
Rules in a Pre-Hospital Mobile
Database," aiccsa, pp.1175-1179,
IEEE International Conference on
Computer Systems and Applications,
2006., 2006