Valmeek Kudesia, MD
Physician, Engineer and Informatician
Professional Summary
Graffiti outside Longwood medical campus.
Photograph by Valmeek Kudesia 2010
Executive Summary
● Physician, engineer, and clinical informatician
● Thrives in overlap of clinical, technical, and
admin...
Education and Training
MS, Biomedical
Informatics

Harvard Medical School
NLM-funded fellow
focus in Clinical Informatics
...
Clinical Credentials
License & Credentials

Medical Practice

● MA Medical License 2011
● Board Certified Internal
Medicin...
Technical Skills
● Programming Languages & Platforms
○
○

R, Java, Python, Perl, C++, C#, SQL, NO-SQL, HTML5
Android mobil...
Operations Skills
● Direction of interdisciplinary clinical,
technical, and administrative groups
● Clinical and operation...
Experience Summary

Summary of Selected Projects
Precision Oncology
● Develop infrastructure and change process
to manage cancer genomics in Northeast
VA’s clinical labora...
Automated Measure of Healthcare
Associated Infections
● Clinical NLP and machine learning
● Detects urinary catheters and ...
Emergent Airway Notification
Process
● Described Anesthesia
●
●
●

service emergency
utilization
Integrated feedback
from ...
HIE-based Influenza Monitor &
Population Management
● Influenza Monitor
○
○

Streams flu-related clinical and
epidemiologi...
Critical Care Air Transport
Physical Exam User Interface
● Developed for
flight paramedics
● Document physical
exam findin...
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Valmeek Kudesia Professional Summary

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A brief overview of training, credentials and experience

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Valmeek Kudesia Professional Summary

  1. 1. Valmeek Kudesia, MD Physician, Engineer and Informatician Professional Summary
  2. 2. Graffiti outside Longwood medical campus. Photograph by Valmeek Kudesia 2010
  3. 3. Executive Summary ● Physician, engineer, and clinical informatician ● Thrives in overlap of clinical, technical, and administrative domains in healthcare ○ ○ 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. 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. 5. Clinical Credentials License & Credentials Medical Practice ● MA Medical License 2011 ● Board Certified Internal Medicine 2011 ● Board Certified Clinical Informatics 2014 ● VA Staff Internist ○ ○ ○ 2014-current Hospital attending General Medical teaching service ● Urgent Care ○ 2011-current ● Residency ○ ○ 2008-2011 Medicine, Boston University Medical Center
  6. 6. Technical Skills ● Programming Languages & Platforms ○ ○ R, Java, Python, Perl, C++, C#, SQL, NO-SQL, HTML5 Android mobile, web-based SOA, linux ● Informatics Techniques ○ ○ Clinical NLP, machine-learning, ontologies, UI design Map/Reduce & other Big Data patterns, data & information visualization ● EHR Experience ○ HL7 standards, interoperability practices, CIE/HIE utilization,
  7. 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 ○ LEAN, PDSA cycles, root-cause analysis
  8. 8. Experience Summary Summary of Selected Projects
  9. 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. 10. Automated Measure of Healthcare Associated Infections ● Clinical NLP and machine learning ● Detects urinary catheters and infections ○ ○ text from progress notes & microbiology cultures structured EHR vitals & laboratory tests ● Extends capacity of Infection Control staff ○ ○ saves time over manual chart review reduces need for additional FTE for data collection ● References ○ ○ 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. 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. 12. HIE-based Influenza Monitor & Population Management ● Influenza Monitor ○ ○ Streams flu-related clinical and epidemiological data Displays influenza-related admissions, antiviral usage, vaccinations ● Population Management ○ ○ Supports population based searches across CIE/HIE. Supports CQI studies ● Reference ○ Kudesia, V, Newman, D. “HIE Utilization to Coordinate and Track Seasonal and H1N1 Flu Vaccination.” NLM Training Conference, 2012.
  13. 13. Critical Care Air Transport Physical Exam User Interface ● Developed for flight paramedics ● Document physical exam findings ● Reference ○ 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

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