Hyeoneui Kim, PhD, MPH, RN

Dr. Kim is Associate Professor at the Duke University School of Nursing. Dr. Kim received a PhD in Health Informatics from the University of Minnesota at Twin Cities, completed a post-doctoral fellowship in the Decision Systems Group at the Brigham and Women’s Hospital in Boston. After the post-doctoral training, she joined the Clinical Informatics Research and Development group of Partner’s Healthcare as a nurse informatician, where she was heavily involved in analyzing and designing nursing documentation system.
Dr. Kim came to Duke from UC San Diego’s School of Medicine, Division of Biomedical Informatics where she was an associate professor. She was also associate director of the T15 training program on biomedical informatics funded through the National Library of Medicine. Her research interests in data standardization, consumer informatics, and nursing decision support complement the school’s research areas of excellence.
The overall goal of Dr. Kim’s research is to facilitate the reuse of biomedical data via standardization and effective representations. Data standardization encompasses standardized terminologies, metadata generation and information modeling, which are critical foundations for any informatics solutions that deal with biomedical data. Dr. Kim’s work has particular focuses on the reuse of clinical data to support patient care and she have demonstrated the impact of data reuse by developing prototype nursing clinical decision support tools and algorithms for acuity estimation, pressure ulcer risk assessment, and pain assessment. Dr. Kim is also experienced in developing infrastructure for data standardization to support big data analyses through two NIH funded projects. In these projects, Dr. Kim led development of a data standardization tool and standardization of the metadata extracted from various biomedical datasets.
Dr. Kim’s data standardization and representation work also expands to the area of consumer health informatics, Dr. Kim’s research in consumer focus data representation includes use of pictograms in health communication and assessing/improving the readability of various health texts. Dr. Kim’s latest consumer oriented informatics research aims to empower patients by providing a means to indicate their preference on sharing health data for research. Presenting a wide range of health data in such a way that help patients determine the level of data sharing is also critical component in this project.

Academic Program Affiliations
  • Master of Science in Nursing Program
  • PhD in Nursing Program
Education
  • PhD - University of Minnesota at Twin Cities
  • MPH - Seoul National University
  • BSN - Seoul National University
Research Interests
Data standardization Nursing decision support system Consumer informatics Health disparity
Awards and Honors
  • 2017 || Daniel T. O’Connor Memorial Award, UC San Diego, CTRI
  • 2012 || Best poster award, Healthcare Informatics, Imaging and Systems Biology
  • 2010 || Harriet H. Werley Award, American Medical Informatics Association
  • 2007 || Working Group Student Award, American Medical Informatics Association Nursing Informatics
Representative Publications
  • 1998 -- Park HS, Nam SG, Ahn JO, Kim HE, Kim JH, Jeung CK, Kim TJ, Lee KH On Study of the Standardization for Medical Information in Health IC Card J Korean Soc Med Inform. 1998 4(2); 157-164.
  • 1998 -- Park HS, Nam SG, Ahn JO, Kim HE, Kim JH, Jeung CK, Kim TJ, Lee KH A Method for the Application of Emergency Medical Information System in Health IC Card J Korean Soc Med Inform. 1998 4(2); 145-156.
  • 0 -- Kim HE, & Kim JH, A A Survey on the Attitude of Social Groups toward Security, Privacy, and Confidentiality of Health Information J Korean Soc Med Inform. 5(3); 63-75.
  • 2002 -- Kim JH, Lee K, Kim HR, Lee MW, Kim HE, Rhee KH, Park YS Development of Online Sex Education Programs Using Interactive Human-Computer Dialogue Technology J Korean Soc Med Inform.. 2002 8(3); 27-35.
  • 2003 -- PubMed # : 14728177 -- Harris, M. and Kim, H. and Rhudy, L. and Savova, G. and Chute, C. Testing the generalizability of the ISO model for nursing diagnoses. AMIA Annu Symp Proc. 274-8. PMC1480242
  • 2004 -- Myers Jr. SL, Kim HE, Mandala C Myers Jr. SL, Kim HE, Mandala C, The Effectiveness of School Poverty on Racial Gaps In Test Scores: The Cases of the Minnesota Basic Standards Tests The J Negro Edu. 2004 73(1); 81-98.
  • 2004 -- PubMed # : 15465479 -- Kim, J. H. and Jeoung, D. and Lee, S. and Kim, H. Discovering significant and interpretable patterns from multifactorial DNA microarray data with poor replication. J Biomed Inform. 37(4); 260-8.
  • 2006 -- PubMed # : 17102358 -- Kim, H. and Harris, M. R. and Savova, G. and Chute, C. G. Content coverage of SNOMED-CT toward the ICU nursing flowsheets and the acuity indicators. Stud Health Technol Inform. 122 722-6.
  • 2007 -- PubMed # : 17911889 -- Zeng-Treitler, Q. and Kim, H. and Goryachev, S. and Keselman, A. and Slaughter, L. and Smith, C. A. Text characteristics of clinical reports and their implications for the readability of personal health records. Stud Health Technol Inform. 129(Pt 2); 1117-21.
  • 2007 -- PubMed # : 18693870 -- Kim, H. and Goryachev, S. and Rosemblat, G. and Browne, A. and Keselman, A. and Zeng-Treitler, Q. Beyond surface characteristics: a new health text-specific readability measurement. AMIA Annu Symp Proc. 418-22. PMC2655856
  • 2007 -- PubMed # : 18693956 -- Zeng-Treitler, Q. and Goryachev, S. and Kim, H. and Keselman, A. and Rosendale, D. Making texts in electronic health records comprehensible to consumers: a prototype translator. AMIA Annu Symp Proc. 846-50. PMC2655860
  • 2007 -- PubMed # : 18693866 -- Keselman, A. and Slaughter, L. and Smith, C. A. and Kim, H. and Divita, G. and Browne, A. and Tsai, C. and Zeng-Treitler, Q. Towards consumer-friendly PHRs: patients' experience with reviewing their health records. AMIA Annu Symp Proc. 399-403. PMC2655877
  • 2008 -- PubMed # : 18999129 -- Goryachev, S. and Kim, H. and Zeng-Treitler, Q. Identification and extraction of family history information from clinical reports. AMIA Annu Symp Proc. 247-51. PMC2656021
  • 2008 -- PubMed # : 18999109 -- Zeng-Treitler, Q. and Kim, H. and Hunter, M. Improving patient comprehension and recall of discharge instructions by supplementing free texts with pictographs. AMIA Annu Symp Proc. 849-53. PMC2656019
  • 2007 -- PubMed # : 17625469 -- Kim, H. and Harris, M. R. and Savova, G. K. and Speedie, S. M. and Chute, C. G. Toward near real-time acuity estimation: a feasibility study. Nurs Res. 56(4); 288-94.
  • 2008 -- PubMed # : 18436906 -- Keselman, A. and Smith, C. A. and Divita, G. and Kim, H. and Browne, A. C. and Leroy, G. and Zeng-Treitler, Q. Consumer health concepts that do not map to the UMLS: where do they fit? J Am Med Inform Assoc. 15(4); 496-505. PMC2442253
  • 2008 -- PubMed # : 18769183 -- Kim, H. and Harris, M. R. and Savova, G. K. and Chute, C. G. The first step toward data reuse: disambiguating concept representation of the locally developed ICU nursing flowsheets. Comput Inform Nurs. 26(5); 282-9. PMC2699893
  • 2009 -- PubMed # : 19592855 -- Kim, H. and Dykes, P. and Mar, P. and Goldsmith, D. and Choi, J. and Goldberg, H. Towards a standardized representation to support data reuse: representing the ICNP semantics using the HL7 RIM. Stud Health Technol Inform. 146 308-13.
  • 2008 -- PubMed # : 19074298 -- Dykes, P. C. and Kim, H. and Goldsmith, D. M. and Choi, J. and Esumi, K. and Goldberg, H. S. The adequacy of ICNP version 1.0 as a representational model for electronic nursing assessment documentation. J Am Med Inform Assoc. 16(2); 238-46. PMC2649316
  • 2009 -- PubMed # : 19275981 -- Kim, H. and Nakamura, C. and Zeng-Treitler, Q. Assessment of pictographs developed through a participatory design process using an online survey tool. J Med Internet Res. 11(1); e5. PMC2762769
  • 2010 -- PubMed # : 20841653 -- Zeng-Treitler, Q. and Kim, H. and Rosemblat, G. and Keselman, A. Can multilingual machine translation help make medical record content more comprehensible to patients? Stud Health Technol Inform. 160(Pt 1); 73-7.
  • 2010 -- PubMed # : 21347005 -- Kim, H. and Choi, J. and Secalag, L. and Dibsie, L. and Boxwala, A. and Ohno-Machado, L. Building an ontology for pressure ulcer risk assessment to allow data sharing and comparisons across hospitals. AMIA Annu Symp Proc. 2010 382-6. PMC3041354
  • 2010 -- PubMed # : 20869303 -- Kim, H. and Choi, J. and Thompson, S. and Meeker, L. and Dykes, P. and Goldsmith, D. and Ohno-Machado, L. Automating pressure ulcer risk assessment using documented patient data. Int J Med Inform. 79(12); 840-8.
  • 2011 -- PubMed # : 22195088 -- Dykes, P. C. and DaDamio, R. R. and Goldsmith, D. and Kim, H. and Ohashi, K. and Saba, V. K. Leveraging standards to support patient-centric interdisciplinary plans of care. AMIA Annu Symp Proc. 2011 356-63. PMC3243254
  • 2011 -- PubMed # : 20846646 -- Kim, H. and Dykes, P. C. and Thomas, D. and Winfield, L. A. and Rocha, R. A. A closer look at nursing documentation on paper forms: preparation for computerizing a nursing documentation system. Comput Biol Med. 41(4); 182-9.
  • 2011 -- PubMed # : 22081224 -- Ohno-Machado, L. and Bafna, V. and Boxwala, A. A. and Chapman, B. E. and Chapman, W. W. and Chaudhuri, K. and Day, M. E. and Farcas, C. and Heintzman, N. D. and Jiang, X. and Kim, H. and Kim, J. and Matheny, M. E. and Resnic, F. S. and Vinterbo, S. A. and iDASH team, iDASH: integrating data for analysis, anonymization, and sharing. J Am Med Inform Assoc. 19(2); 196-201. PMC3277627
  • 2011 -- PubMed # : 22180873 -- Kim, H. and Jiang, X. and Kim, J. and Ohno-Machado, L. Trends in biomedical informatics: most cited topics from recent years. J Am Med Inform Assoc. 18 Suppl 1 i166-70. PMC3241182
  • 2012 -- PubMed # : 24199088 -- Kim, H. and Tamayo, D. and Muhkin, M. and Kim, J. and Lam, J. and Ohno-Machado, L. and Aronoff-Spencer, E. Pictogram evaluation and authoring collaboration environment. NI 2012 (2012). 2012 214. PMC3799134
  • 2012 -- PubMed # : 24199064 -- Dykes, P. C. and Dadamio, R. R. and Kim, H. A framework for harmonizing terminologies to support representation of nursing practice in electronic records. NI 2012 (2012). 2012 103. PMC3799155
  • 2012 -- PubMed # : 22210167 -- Kim, H. and El-Kareh, R. and Goel, A. and Vineet, F. N. and Chapman, W. W. An approach to improve LOINC mapping through augmentation of local test names. J Biomed Inform. 45(4); 651-7. PMC3340474
  • 2012 -- PubMed # : 22904589 -- Ards, S. D. and Myers Jr, S. L. and Ray, P. and Kim, H. and Monroe, K. and Arteaga, I. Racialized Perceptions and Child Neglect. Child Youth Serv Rev. 34(8); 1480-1491. PMC3418824
  • 2012 -- PubMed # : 22549077 -- Choi, J. and Kim, H. A workflow-oriented framework-driven implementation and local adaptation of clinical information systems: a case study of nursing documentation system implementation at a tertiary rehabilitation hospital. Comput Inform Nurs. 30(8); 409-14; quiz 415-6.
  • 2013 -- PubMed # : 24303228 -- Alipanah, N. and Lin, K. and Venkatesh, V. and Farzaneh, S. and Kim, H. Phenotype Information Retrieval for Existing GWAS Studies. AMIA Jt Summits Transl Sci Proc. 2013 4-8. PMC3845737
  • 2013 -- PubMed # : 24551418 -- Wang, S. and Jiang, X. and Ji, Z. and El-Kareh, R. and Choi, J. and Kim, H. When you can't tell when it hurts: a preliminary algorithm to assess pain in patients who can't communicate. AMIA Annu Symp Proc. 2013 1429-37. PMC3900156
  • 2013 -- Choi, J. & Kim, H Developing a Computer Interpretable Guideline with Nursing Knowledge: A Pilot Study of a Pressure Ulcer Risk Assessment and Prevention Online Journal of Nursing Informatics. February, 2013 17(1); 2393.
  • 2014 -- PubMed # : 23644462 -- Choi, J. and Choi, J. and Kim, H. Nurses' interpretation of patient status descriptions on the Braden Scale. Clin Nurs Res. 23(3); 336-46.
  • 2013 -- PubMed # : 23874362 -- Choi, J. and Kim, H. Enhancement of decision rules to increase generalizability and performance of the rule-based system assessing risk for pressure ulcer. Appl Clin Inform. 4(2); 251-66. PMC3716416
  • 2013 -- PubMed # : 23774519 -- Ogunyemi, O. I. and Meeker, D. and Kim, H. and Ashish, N. and Farzaneh, S. and Boxwala, A. Identifying appropriate reference data models for comparative effectiveness research (CER) studies based on data from clinical information systems. Med Care. 51(8 Suppl 3); S45-52.
  • 2013 -- PubMed # : 23989082 -- Doan, S. and Lin, K. and Conway, M. and Ohno-Machado, L. and Hsieh, A. and Feupe, S. F. and Garland, A. and Ross, M. K. and Jiang, X. and Farzaneh, S. and Walker, R. and Alipanah, N. and Zhang, J. and Xu, H. and Kim, H. PhenDisco: phenotype discovery system for the database of genotypes and phenotypes. J Am Med Inform Assoc. 21(1); 31-6. PMC3912702
  • 2013 -- PubMed # : 24058713 -- Lin, K. and Tharp, M. and Conway, M. and Hsieh, A. and Ross, M. and Kim, J. and Kim, H. Feasibility of using Clinical Element Models (CEM) to standardize phenotype variables in the database of genotypes and phenotypes (dbGaP). PLoS One. 8(9); e76384. PMC3776754
  • 2013 -- PubMed # : 24214018 -- Jiang, X. and Tse, K. and Wang, S. and Doan, S. and Kim, H. and Ohno-Machado, L. Recent trends in biomedical informatics: a study based on JAMIA articles. J Am Med Inform Assoc. 20(e2); e198-205. PMC3861936
  • 2014 -- PubMed # : 24780722 -- Ohno-Machado, L. and Agha, Z. and Bell, D. S. and Dahm, L. and Day, M. E. and Doctor, J. N. and Gabriel, D. and Kahlon, M. K. and Kim, K. K. and Hogarth, M. and Matheny, M. E. and Meeker, D. and Nebeker, J. R. and pSCANNER team, pSCANNER: patient-centered Scalable National Network for Effectiveness Research. J Am Med Inform Assoc. 21(4); 621-6. PMC4078293
  • 2014 -- Choi J, Kim H Effectiveness of the interventions utilized in genetic counseling Advances in Nursing. 2014 .
  • 2014 -- PubMed # : 24943578 -- Kim, H. and Chung, H. and Wang, S. and Jiang, X. and Choi, J. SAPPIRE: a prototype mobile tool for pressure ulcer risk assessment. Stud Health Technol Inform. 201 433-40. PMC4414243
  • 2014 -- PubMed # : 25954387 -- Kim, H. and Ohno-Machado, L. and Oh, J. and Jiang, X. Trends in publication of nursing informatics research. AMIA Annu Symp Proc. 2014 805-14. PMC4419947
  • 2015 -- PubMed # : 26142423 -- Meeker, D. and Jiang, X. and Matheny, M. E. and Farcas, C. and D'Arcy, M. and Pearlman, L. and Nookala, L. and Day, M. E. and Kim, K. K. and Kim, H. and Boxwala, A. and El-Kareh, R. and Kuo, G. M. and Resnic, F. S. and Kesselman, C. and Ohno-Machado, L. A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research. J Am Med Inform Assoc. 22(6); 1187-95. PMC4639714
  • 2015 -- PubMed # : 26555018 -- Han, D. and Wang, S. and Jiang, C. and Jiang, X. and Kim, H. and Sun, J. and Ohno-Machado, L. Trends in biomedical informatics: automated topic analysis of JAMIA articles. J Am Med Inform Assoc. 22(6); 1153-63. PMC5009912
  • 2016 -- PubMed # : 27332230 -- Kim, J. and Fnu, V. and Bell, E. and Kim, H. Feasibility of the Rule-Based Approach to Creating Complex Pictograms. Stud Health Technol Inform. 225 397-401.
  • 2016 -- PubMed # : 27332230 -- Kim, J. and Fnu, V. and Bell, E. and Kim, H. Feasibility of the Rule-Based Approach to Creating Complex Pictograms. Stud Health Technol Inform. 225 397-401.
  • 2016 -- PubMed # : 27332240 -- Kim, H. and Kim, J. and Shenvi, E. and Quach, J. and Sutjiadi, B. and Richardson, A. and Lin, K. Developing a Semantic Model to Describe Physical Activity Data. Stud Health Technol Inform. 225 447-51.
  • 2016 -- PubMed # : 28269868 -- Kim, H. and Choi, J. and Jang, I. and Quach, J. and Ohno-Machado, L. Feasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model. AMIA Annu Symp Proc. 2016 715-723. PMC5333244
  • 2016 -- PubMed # : 27454233 -- Yang, L. and Wang, S. and Jiang, X. and Cheng, S. and Kim, H. PATTERN: Pain Assessment for paTients who can't TEll using Restricted Boltzmann machiNe. BMC Med Inform Decis Mak. 16 Suppl 3 73. PMC4959350
  • 2017 -- PubMed # : 27589942 -- Kim, H. and Bell, E. and Kim, J. and Sitapati, A. and Ramsdell, J. and Farcas, C. and Friedman, D. and Feupe, S. F. and Ohno-Machado, L. iCONCUR: informed consent for clinical data and bio-sample use for research. J Am Med Inform Assoc. 24(2); 380-387. PMC5391727
  • 2016 -- PubMed # : 27784835 -- Kim, H. and Jang, I. and Quach, J. and Richardson, A. and Kim, J. and Choi, J. Explorative Analyses of Nursing Research Data. West J Nurs Res. .
  • 2017 -- PubMed # : 27688295 -- Nodora, J. N. and Komenaka, I. K. and Bouton, M. E. and Ohno-Machado, L. and Schwab, R. and Kim, H. and Farcas, C. and Perez, G. and Elena Martinez, M. Biospecimen Sharing Among Hispanic Women in a Safety-Net Clinic: Implications for the Precision Medicine Initiative. J Natl Cancer Inst. 109(2); . PMC5040829
  • 2017 -- PubMed # : 28207198 -- Sitapati, A. and Kim, H. and Berkovich, B. and Marmor, R. and Singh, S. and El-Kareh, R. and Clay, B. and Ohno-Machado, L. Integrated precision medicine: the role of electronic health records in delivering personalized treatment. Wiley Interdiscip Rev Syst Biol Med. 9(3); . PMC5400726
  • 2017 -- PubMed # : 28430977 -- Zong, N. and Kim, H. and Ngo, V. and Harismendy, O. Deep mining heterogeneous networks of biomedical linked data to predict novel drug-target associations. Bioinformatics. 33(15); 2337-2344.
  • 2017 -- PubMed # : 28546571 -- Ohno-Machado, L. and Sansone, S. and Alter, G. and Fore, I. and Grethe, J. and Xu, H. and Gonzalez-Beltran, A. and Rocca-Serra, P. and Gururaj, A. E. and Bell, E. and Soysal, E. and Zong, N. and Kim, H. Finding useful data across multiple biomedical data repositories using DataMed. Nat Genet. 49(6); 816-819.
  • 2017 -- PubMed # : 28585923 -- Sansone, S. and Gonzalez-Beltran, A. and Rocca-Serra, P. and Alter, G. and Grethe, J. S. and Xu, H. and Fore, I. M. and Lyle, J. and Gururaj, A. E. and Chen, X. and Kim, H. and Zong, N. and Li, Y. and Liu, R. and Ozyurt, I. B. and Ohno-Machado, L. DATS, the data tag suite to enable discoverability of datasets. Sci Data. 4 170059. PMC5460592
Grant Funding (Selected)
  • Informed Consent for Clinical Data and Bio-sample Use for Research
    NIH/NHGRI
    R01HG008802-02
    09/2015 to 06/2018
    Project Goal: The goal of this project is to incorporate genetic test data produced at the laboratories outside UCSD Medical center to the clinical data warehouse at UCSD to promote reuse of the genetic test data for research and patient treatment.
  • bioCADDIE: biomedical and healthcare data discovery and indexing engine center
    NIH/NIAID
    U24AI117966-05
    09/2014 to 08/2017
    Role: Co-I
    Project Goal: The goal of this project is to promote the development of realistic, minimal, and user-friendly metadata specifications and annotation for biomedical and healthcare data and corresponding tools for automated indexing to facilitate reuse of biomedical big data.
  • Phenotype discovery NHLBI genomic studies (PhD)
    NIH/NHLBI
    UH3HL108785
    07/2011 to 09/2015
    Project Goal: The goal of this project is to develop a defined metadata model and build an integrated system that enables researchers to query and find genomic studies of interest in public repositories as well as upload new data into our database (sdGaP), in a standardized manner.
  • iDASH – integrating data for analysis, anonymization, and sharing
    NLH/NHLBI
    HL108460
    09/2010 to 06/2017
    Role: Co-I
    Project Goal: The goal of this project is to create IDASH, a national center for biomedical computing that will develop new algorithms, open-source tools, computational infrastructure and services that will enable biomedical and behavioral researchers nationwide to integrate Data for Analysis, Anonymization, and Sharing, IDASH will address fundamental challenges to research progress by providing a secure, privacy-preserving environment in which researchers can analyze genomic, transcriptomic and highly annotated phenotypic data.
  • SCANNER – scalable national network for effectiveness research
    AHRQ
    R01HS19913
    09/2010 to 09/2013
    Role: CO-I
    Project Goal: The goal of this project is to develop a distributed network infrastructure for comparative effectiveness research that provides flexibility to participant sites in the means for data sharing.
  • San Diego biomedical informatics education & research
    NIH/NLM
    T15LM11271
    07/2012 to 06/2021
    Role: Core faculty (associate director)
    Project Goal: The biomedical informatics training program at UC San Diego provides biomedical informatics training and research opportunities through pre-doctoral and post-doctoral levels.
  • Global health knowledge collective – a collaborative toolkit for global health
    NIH/FIC, NIH/OD
    R24TW008805
    09/2010 to 08/2012
    Role: CO-I
    Project Goal: The goal of this project is to promote efficient health care services in resource-poor settings in low-to-middle income countries with knowledge collectives implemented on low cost computing device.
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