Research Interests

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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13Research 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