Physician nurse care: A new use of UMLS to measure professional contribution Are we talking about the same patient a new graph matching algorithm?

被引:22
作者
Boyd, Andrew D. [1 ]
Lopez, Karen Dunn [2 ]
Lugaresi, Camillo [3 ]
Macieira, Tamara [2 ]
Sousa, Vanessa [2 ]
Acharya, Sabita [3 ]
Balasubramanian, Abhinaya [3 ]
Roussi, Khawllah [1 ]
Keenan, Gail M. [4 ]
Lussier, Yves A. [5 ,6 ]
Li, Jianrong 'John' [5 ,6 ]
Burton, Michel [1 ]
Di Eugenio, Barbara [3 ]
机构
[1] Univ Illinois, Coll Appl Hlth Sci, Dept Biomed & Hlth Informat Sci, 1919 W Taylor St, Chicago, IL 60612 USA
[2] Univ Illinois, Coll Nursing, Dept Hlth Syst Sci, 845 South Damen Ave, Chicago, IL 60612 USA
[3] Univ Illinois, Coll Engn, Dept Comp Sci, 851 South Morgan St, Chicago, IL 60607 USA
[4] Univ Florida, Coll Nursing, Dept Hlth Care Environm & Syst, POB 100187, Gainesville, FL 32610 USA
[5] Univ Arizona, Coll Med, Dept Med, 1501 N Campbell Dr, Tucson, AZ 85724 USA
[6] Univ Arizona, Hlth Sci Ctr, 1295 North Martin Ave, Tucson, AZ 85721 USA
关键词
UMLS; Physician documentation; Nursing documentation; Professional discontinuity; Health informatics; MEDICINE CLINICAL TERMS; SYSTEMATIZED NOMENCLATURE; DIAGNOSIS CONCEPTS; COLLABORATION; RECORD; INFORMATION; LANGUAGE; VIEW; GAME;
D O I
10.1016/j.ijmedinf.2018.02.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Background: Physician and nurses have worked together for generations; however, their language and training are vastly different; comparing and contrasting their work and their joint impact on patient outcomes is difficult in light of this difference. At the same time, the EHR only includes the physician perspective via the physician authored discharge summary, but not nurse documentation. Prior research in this area has focused on collaboration and the usage of similar terminology. Objective: The objective of the study is to gain insight into interprofessional care by developing a computational metric to identify similarities, related concepts and differences in physician and nurse work. Methods: 58 physician discharge summaries and the corresponding nurse plans of care were transformed into Unified Medical Language System (UMLS) Concept Unique Identifiers (CUIs). MedLEE, a Natural Language Processing (NLP) program, extracted "physician terms" from free-text physician summaries. The nursing plans of care were constructed using the HANDS(C) nursing documentation software. HANDS(C) utilizes structured terminologies: nursing diagnosis (NANDA-I), outcomes (NOC), and interventions (NIC) to create "nursing terms". The physician's and nurse's terms were compared using the UMLS network for relatedness, overlaying the physician and nurse terms for comparison. Our overarching goal is to provide insight into the care, by innovatively applying graph algorithms to the UMLS network. We reveal the relationships between the care provided by each professional that is specific to the patient level. Results: We found that only 26% of patients had synonyms (identical UMLS CUIs) between the two professions' documentation. On average, physicians' discharge summaries contain 27 terms and nurses' documentation, 18. Traversing the UMLS network, we found an average of 4 terms related (distance less than 2) between the professions, leaving most concepts as unrelated between nurse and physician care. Conclusion: Our hypothesis that physician's and nurse's practice domains are markedly different is supported by the preliminary, quantitative evidence we found. Leveraging the UMLS network and graph traversal algorithms, allows us to compare and contrast nursing and physician care on a single patient, enabling a more complete picture of patient care. We can differentiate professional contributions to patient outcomes and related and divergent concepts by each profession.
引用
收藏
页码:63 / 71
页数:9
相关论文
共 58 条
[1]  
Ahad M A, 1981, Image (IN), V13, P56
[2]   LOWER MEDICARE MORTALITY AMONG A SET OF HOSPITALS KNOWN FOR GOOD NURSING-CARE [J].
AIKEN, LH ;
SMITH, HL ;
LAKE, ET .
MEDICAL CARE, 1994, 32 (08) :771-787
[3]  
[Anonymous], 2014, AMIA CLIN RES INF C
[4]  
Bakken S, 2001, STUD HEALTH TECHNOL, V84, P151
[5]   An evaluation of the usefulness of two terminology models for integrating nursing diagnosis concepts into SNOMED Clinical Terms® [J].
Bakken, S ;
Warren, JJ ;
Lundberg, C ;
Casey, A ;
Correia, C ;
Konicek, D ;
Zingo, C .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2002, 68 (1-3) :71-77
[6]   Nursing documentation: Frameworks and barriers [J].
Blair, Wendy ;
Smith, Barbara .
CONTEMPORARY NURSE, 2012, 41 (02) :160-168
[7]  
Burton M., 2014, AMIA SUMM TRANSL SCI
[8]  
Butcher H.K., 2013, Nursing Interventions Classification (NIC)
[9]   Phase II evaluation of clinical coding schemes: Completeness, taxonomy, mapping, definitions, and clarity [J].
Campbell, JR ;
Carpenter, P ;
Sneiderman, C ;
Cohn, S ;
Chute, CG ;
Warren, J .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 1997, 4 (03) :238-251
[10]  
Cheevakasemsook Aree, 2006, Int J Nurs Pract, V12, P366, DOI 10.1111/j.1440-172X.2006.00596.x