1. Research Interests
Vojtech Huser MD PhD

2. Vojtech Huser, MD, PhD
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Introduction
 Medical Doctor
 PhD in Medical Informatics
 Research experience at several academic
institutions
 Excellent knowledge of large healthcare
systems EHR infrastructure
 Comparable to NHS collaboration settings

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Research interest
 Major
 Health services research and EHR data analysis
 quality improvement in healthcare
 Other
 data warehousing
 medical terminologies
 personal health record (consumer informatics)
 knowledge representation
 clinical research informatics

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HMO Research Network (VDW)
http://www.hmoresearchnetwork.org

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10I2b2 (tool for basic EHR data querying),
With experimental local codes for laboratory results

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Work with data within a database, 4-10GB datasets shown)

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Work with complex database data structures (EHR observations
database

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Research data collection within EHR within my past research project

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Statistical analysis and data manipulation
(R; also knowledge of SAS, SPSS, Stata)

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Example 1
 5. Huser V, Rocha RA, Huser M, Conducting Time Series Analyses on Large Data
Sets: a Case Study With Lymphoma, Medinfo 2007.
 6. Huser V, Rocha, RA, Graphical Modeling of HEDIS Quality Measures and
Prototyping of Related Decision Support Rules to Accelerate Improvement, fall
AMIA symposium, 2007
 Intermountain Healthcare, 3.2 M patients,
comprehensive data warehouse with coded
administrative, clinical and payer data (health plan)
 Methods: data pre-processing, R statistical package,
SQL and other tools

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Example 1
 Lymphoma
 780 patients with HL (140 met all inclusion criteria)
 Preservation of reproductive function after toxic cancer therapy
 Experimental analysis of data concerning: stages of the Hodgkin disease, cycles
and doses of chemotherapy, detection of relapses, levels of hormones
indicating premature ovarian failure or prescribed contraception methods
 Similar results to comparable prospective observational study done by Franchi-
Rezghui (2003) (36.9%) (84 subjects)
 Quality measures
 2 measures studied: Osteoporosis, cholesterol management in cardiovascular
patients
 1400+ patients
 Cholesterol management results (inclusion criteria:history of AMI, CABG or
PTCA):

43.24% had proper cholesterol screening, 31.53% in good control

Additional sub-analyses: close to the threshold level (100-130 mg/dL) and on a low
dose of a lipid-lowering agent (2.66%).
In 13.38% of the non-compliant patients we found evidence of 2+ laboratory-test-
episodes or 3+ encounters within a 12 month window

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Example 2
 10. Huser V, Starren JB, EHR Data Pre-processing Facilitating
Process Mining: an Application to Chronic Kidney Disease.
AMIA Annu Symp Proc 2009
 Analysis of stages of CKD progression

laboratory onset, formal diagnosis establishment, first analysis, regular
dialysis, transplant, death

Using manual as well as data mining methods
 15. Huser V, A Methodology for Quantitative Measurement
of Quality and Comprehensiveness of a Research Data
Repository, Proc of 16th Annual HMORN Conference 2010

Received Young investigator award for this submission

Evaluation of data warehouses of multiple institutions [consortium]

Set of qualitative measures used for comparisons inter-institutions and
intra-institution (yearly progress)

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Summary
 Educationally well-qualified researcher
 History of past publications and successful
grant applications
 Apart from health services research, additional
knowledge of the field of health informatics
and interventional clinical projects (via informatics
methods)
 Publications available at an “internal-use-only” URL:
 http://minfor.wikispaces.com/publications