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Qing Zeng-Treitler PhD

Associate Professor, Harvard Medical School
Research Scientist, Brigham and Women's Hopsital

Biography

Dr. Zeng is trained in computer science (MS, University of Hawaii, 1995) and medical informatics (PhD, Columbia University, 1999). She has worked on a number of research projects in the areas of semantic knowledge-based systems, information retrieval, vocabulary and natural language processing. Her current research interests are consumer-centered computing and semantic knowldge-based information retrieval/presentation.

Current projects

Consumer health vocabulary and information retrieval - PI, funded by National Library of Medicine
Readability assessment and improvement - PI, funded by The National Institute of Diabetes and Digestive and Kidney Diseases
Concept(problem/task)-oriented EMR (in collaboration with Scientic Systems Inc.) - Co-PI, funded by Department of Defense
Natural language processing (subcontract of the i2b2 project) - Investigator/subcontract-PI, funded by National Library of Medicine
A Multifaceted Adaptive Testing Approach to Health Literacy in Older Adults (in collaboration with Columbia University)- Subcontract PI, funded by National Institute of Nursing Research

Past projects

Shared pathology information system - Funded by National Cancer Institute
Flow-cytometry based proteomics
Guideline interchangable format (http://www.glif.org/) - Funded by National Library of Medicine

Contact Information

Location:

 900 Commonwealth, 3rd Flr, Boston, MA02215

Phone:

 617-732-7694

Fax:

 617-739-3672

Email:

 qzeng "at" dsg.harvard.edu

Bibliography

Peer-Reviewed Journal Articles

1.Zeng Q, Cimino JJ. A knowledge-based, concept-oriented view generation system for clinical data. J Biomed Inform. 2001;34(2):112-28.

2.Boxwala AA, Tu S, Peleg M, Zeng Q, Ogunyemi O, Greenes RA, Shortliffe EH, Patel VL. Toward a representation format for sharable clinical guidelines. J Biomed Inform. 2001;34(3):157-69.

3.Zeng Q, Kogan S, Ash N, Greenes RA, Boxwala AA. Characteristics of consumer terminology for health information retrieval. Methods Inf Med. 2002;41(4):289-98.

4.Zeng Q, Cimino JJ, Zou KH. Providing concept-oriented views for clinical data using a knowledge-based system: an evaluation. J Am Med Inform Assoc. 2002;9(3):294-305.

5.Peleg M, Boxwala AA, Tu S, Zeng Q, Ogunyemi O, Wang D, Patel VL, Greenes RA, Shortliffe EH. The InterMed approach to sharable computer-interpretable guidelines: a review. J Am Med Inform Assoc. 2004;11(1):1-10.

6.Zeng QT, Kogan S, Plovnick RM, Crowell J, Lacroix EM, Greenes RA. Positive attitudes and failed queries: an exploration of the conundrums of consumer health information retrieval. Int J Med Inform. 2004;73(1):45-55.

7.Boxwala AA, Peleg M, Tu S, Ogunyemi O, Zeng QT, Wang D, Patel VL, Greenes RA, Shortliffe EH. GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines. J Biomed Inform. 2004;37(3):147-61.

8.Crowell J, Zeng Q, Ngo L, Lacroix EM. A frequency-based technique to improve the spelling suggestion rank in medical queries. J Am Med Inform Assoc. 2004;11(3):179-85.

9.Plovnick RM, Zeng QT. Reformulation of consumer health queries with professional terminology: a pilot study. J Med Internet Res. 2004;6(3):e27.

10.Wang D, Peleg M, Tu SW, Boxwala AA, Ogunyemi O, Zeng Q, Greenes RA, Patel VL, Shortliffe EH. Design and implementation of the GLIF3 guideline execution engine. J Biomed Inform. 2004;37(5):305-18.

11.Sordo M, Zeng Q. On Sample Size and Classification Accuracy: A Performance Comparison. Lecture Notes in Computer Science. ISBMDA. 2005;3745 :193-201.

12.Zeng QT, Kim E, Crowell J, Tse T. A Text Corpora-Based Estimation of the Familiarity of Health Terminology. Lecture Notes in Computer Science. ISBMDA. 2005;3745:184-192.

13.Zeng QT, Crowell J, Plovnick RM, Kim E, Ngo L, Dibble E. Assisting consumer health information retrieval with query recommendations. J Am Med Inform Assoc. 2006;13(1):80-90.

14.Zeng QT, Tse T. Exploring and developing consumer health vocabularies. J Am Med Inform Assoc. 2006;13(1):24-9.

15.Zeng QT, Pratt JP, Pak J, Ravnic D, Huss H, Mentzer SJ. Feature-guided clustering of multi-dimensional flow cytometry datasets. J Biomed Inform. 2006: p. Epub ahead of print.

16.Zeng QT, Goryachev S, Weiss S, Sordo M, Murphy SN, Lazarus R. Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system. BMC Med Inform Decis Mak. 2006;6(1):30.

17.Keselman A, Massengalea L, Ngo L, Browne A, Zeng Q. The Effect of User Factors on Consumer Familiarity with Health Terms: Using Gender as a Proxy for Background Knowledge about Gender-Specific Illnesses. Lecture Notes in Computer Science, ISBMDA. 2006: pp. 472-481.

18.Zeng QT, Pratt JP, Pak J, Kim EY Ravnic D, Huss H, Mentzer SJ. Multi-Data Integration in Multi-Dimensional Data Sets: Informational Asymmetry in the Valid Correlation of Subdivided Samples. Lecture Notes in Computer Science. ISBMDA. 2006: pp. 423-432.

19.Zeng QT, Tse T, Divita G, Keselman A, Crowell J, Browne AC, Goryachev S, Ngo L. Term Identification Methods for Consumer Health Vocabulary Development. Journal of Medical Internet Research. 2007;9(1):e4.

20.Keselman A, Tse T, Crowell J, Browne A, Ngo L, Zeng QT. Assessing Consumer Health Vocabulary Familiarity: An Exploratory Study. Journal of Medical Internet Research. 2007;9(1):e5.

21.Drake TA, Braun J, Marchevsky A, Kohane IS, Fletcher C, Chueh H, Beckwith B, Berkowicz D, Kuo F, Zeng QT, Balis U, Holzbach A, McMurry A, Gee CE, McDonald C, Davis M, Blevins L, Becich M, Crowley R, Taube SE, Berman J. A System for Sharing Routine Surgical Pathology Specimens Across Institutions: the Shared Pathology Informatics Network (SPIN). Human Pathology. 2007;38(8):1212-25.

22.Zeng-Treitler Q, Goryachev S, Tse T, Keselman A, Boxwala A. Estimating consumer familiarity with health terminology: a context-based approach. J Am Med Inform Assoc. 2008;15(3):349-56.

23. Keselman A, Smith CA, Divita G, Kim H, Browne AC, Leroy G, Zeng-Treitler Q. Consumer Health Concepts That Do Not Map to the UMLS: Where Do They Fit? J Am Med Inform Assoc. 2008;15(4):496-505.

24. Keselman A, Logan R, Smith CA, Leroy G, Zeng-Treitler Q. Developing Informatics Tools and Strategies for Consumer-centered Health Communication. J Am Med Inform Assoc. 2008;15(4):473-83.

Peer Reviewed Proceeding Articles

1.Zeng Q, Cimino JJ. Mapping medical vocabularies to the Unified Medical Language System. In: Proc AMIA Symp, J of the American Medical Informatics Association; ;1996. p. 105-9.

2.Cimino JJ, Elhanan G, Zeng Q. Linking A Clinical System to Heterogeneous Information Resources. In: Proc AMIA Symp. J of the American Medical Informatics Association; ;1997. p. 553-7.

3.Zeng Q, Cimino JJ. Linking a clinical system to heterogeneous information resources. In: Proc AMIA Symp. J of the American Medical Informatics Association; ;1997. p. 528-32.

4.Zeng Q, Cimino JJ. Automated Knowledge Extraction from the UMLS. In: Proc AMIA Symp. J of the American Medical Informatics Association; ;1998. p. 568-72.

5.Zeng Q, Cimino JJ. Evaluation of a System to Identify Relevant Patient Information and Its Impact on Clinical Information Retrieval. In: Proc AMIA Symp. J of the American Medical Informatics Association; ;1999. p. 642-6.

6.Peleg M, Boxwala AA, Ogunyemi O, Zeng Q, Tu S, Lacson R, Bernstam E, Ash N, Mork P, Ohno-Machado L, Shortliffe EH, Greenes RA. GLIF3: the evolution of a guideline representation format. In: Proc AMIA Symp. J of the American Medical Informatics Association; ;2000. p. 645-9.

7.Kogan S, Zeng Q, Ash N, Greenes RA. Problems and Challenges in Patient Information Retrieval: A Descriptive Study. In: Proc AMIA Symp. J of the American Medical Informatics Association, ;2001. p. 329-333.

8.Peleg M, Ogunyemi O, Tu S, Boxwala AA, Zeng Q, Greenes RA, Shortliffe EH. Using Features of Arden Syntax with Object-Oriented Medical Data Models for Guideline Modeling. In: Proc AMIA Symp. J of the American Medical Informatics Association; ;2001. p. 523-527.

9.Zeng Q, Kogan S, Ash N, Greenes RA. Patient and Clinician Vocabulary: How Different Are They? In: Medinfo; ;2001. p. 399-403.

10.Zeng Q, Young AJ, Boxwala AA, Rawn J, Long W, Wand M, Milford EL, Salganik M., Mentzer SJ, Greenes RA. Molecular Identification Using Flow Cytometry and Information Theory. In: Proc AMIA Symp. J of the American Medical Informatics Association; ;2001. p. 776-780.

11.Ash N, Ogunyemi O, Zeng Q, Ohno-Machado L. Finding Appropriate Clinical Trials: Encoding Eligibility Criteria and their Evaluation with Incomplete Data. In: Proc AMIA Symp. J of the American Medical Informatics Association; ;2001. p. 27-31.

12.Zeng Q, Wand M, Young AJ, Rawn J, Milford EL, Mentzer SJ, Greenes RA. Matching of flow-cytometry histograms using information theory in feature space. In: Proc AMIA Symp. J of the American Medical Informatics Association; ;2002. p. 929-33.

13.Kim EY, Zeng Q, Rawn J, Wand M, Young AJ, Milford E, Mentzer SJ, Greenes RA. Using a neural network with flow cytometry histograms to recognize cell surface protein binding patterns. In: Proc AMIA Symp. J of the American Medical Informatics Association; ;2002. p. 380-4.

14.Boxwala AA, Zeng QT, Chamberas A, Sato L, Dierks M. Coverage of patient safety terms in the UMLS metathesaurus. In: AMIA Annu Symp Proc; ;2003. p. .

15.Zeng QT, Kogan S, Ngo L, Greenes RA. Relationships among different subjective measurements of consumer health information retrieval performance. In: Medinfo; ;2004. p. 1328-32.

16.Zeng QT, Tse T, Crowell J, Divita G, Roth L, Browne AC. Identifying Consumer-Friendly Display (CFD) Names for Health Concepts. In: Proc AMIA Symp; ;2005. p. 859-63.

17. Scott-Wright A, Crowell J, Zeng Q, Bates D, Greenes R . Analysis of Information Needs of Users of MEDLINEplus, 2002-2003. In: Proc AMIA Symp; ;2006. p. 699-703.

18. Zeng-Treitler Q, Kim H, Goryachev S, Keselman A, Slaughter L, Smith CA. Text characteristics of clinical reports and their implications for the readability of personal health records. In: Medinfo; ;2007. p. 1117-21.

19. Kim H , Goryachev S, Rosemblat G, Browne A, Keselman A, Zeng-Treitler Q. Beyond Surface Characteristics: A New Health Text-Specific Readability Measurement. In: AMIA Fall Symposium; ;2007. p. .

20. Zeng-Treitler Q, Goryachev S, Kim H, Keselman A, Rosendale S. Making Texts in Electronic Health Records Comprehensible to Consumers: A Prototype Translator. In: AMIA Fall Symposium; ;2007. p. .

21. Keselman A, Slaughter L, Arnott-Smith C, Kim H, Divita G, Browne A, Zeng-Treitler Q. Towards Consumer-Friendly PHRs: Patients?Experience with Reviewing Their Health Record. In: AMIA Fall Symposium; ;2007. p. .

22. Zeng-Treitler Q, Kandula S . Creating a Gold Standard for the Readability Measurement of Health Texts. In: AMIA Fall Symposium; ;2008. p. .

23. Goryachev S, Kim H, Zeng-Treitler Q. Identification and Extraction of Family History Information from Clinical Reports . In: AMIA Fall Symposium; ;2008. p. .

24. Zeng-Treitler Q, Kim H, Hunter M. Improving Patient Comprehension and Recall of Discharge Instructions by Supplementing Free Texts with Pictographs. In: AMIA Fall Symposium; ;2008. p. .

Thesis

  Zeng Q. A Knowledge-based Concept-oriented View Generation System for Clinical Data. New York: Columbia University; 1999

Links

Consumer Health Vocabulary Initiative (http://www.consumerhealthvocab.org/)