Use of the Crowdsourcing Methodology to Generate a Problem-Laboratory Test Knowledge Base

Allison McCoy
Allison McCoyAssistant Professor at Tulane University School of Public Health and Tropical Medicine
Use of the Crowdsourcing Methodology to
                                                   Generate a Problem-Laboratory Test Knowledge Base
                                                 Allison B. McCoy, PhD1, Adam Wright, PhD2, Jacob A. McCoy, MS3, Dean F. Sittig, PhD1
                                                        1The          University of Texas Health Science Center at Houston – School of Biomedical Informatics
                                                                                    2Brigham and Women’s Hospital, Harvard Medical School




                  Objective                                                      Methods                                           Results                                            Discussion
To determine whether crowdsourcing is               We applied crowdsourcing to create a                        Clinicians asserted 17,555 links (4,067 distinct    Crowdsourcing has previously been
effective at generating a knowledge base of         knowledge base of problem-laboratory test                   problem-laboratory test pairs) during the study     demonstrated to be effective at identifying
related clinical problems and laboratory test       pairs. We retrieved all problem-laboratory                  period. Of the 600 links evaluated, 429             appropriate problem-medication pairs. Despite
results using links asserted by clinicians          tests pairs linked by clinicians at a large, multi-         (71.5%) were determined to be appropriate.          similar processes used by clinicians in
during e-ordering.                                  specialty, ambulatory academic practice                     Of these, 2,715 (66.8%) were asserted for           ordering medications and laboratory tests, it
                                                    between June 1, 2010 and May 31, 2011.                      only one patient and 224 (5.5%) were                did not generalize well when applied to
                                                    We calculated the frequency of patients with                asserted for 10 or more patients.                   generating a problem-laboratory test
                Background                                                                                                                                          knowledge base.
                                                    each link and the proportion of patients with a             The table depicts the appropriateness for each
Knowledge bases that link clinical problems to
                                                    co-occurring laboratory test and problem for                threshold group. No threshold groups                One potential cause of the poor performance
medications, laboratory tests, and other
                                                    whom a link had been manually asserted (i.e.,               achieved appropriateness greater than or            is the use of laboratory test results for
clinical data can be applied to improve patient
                                                    link ratio). We stratified links into threshold             equal to 95%, and we did not observe an             diagnostic purposes; because the clinician
safety and meet Meaningful Use criteria in a
                                                    groups according to each measure. Blinded to                increasing trend in appropriateness as the          has not determined whether a patient has a
variety of ways, including generating patient
                                                    the threshold values, we reviewed 25                        patient frequency or link ratio increased.          given disease, the problem has not been
summaries, facilitating medication
                                                    randomly selected pairs from each group to                                                                      added to the patient’s list and is therefore not
reconciliation, and delivering clinical decision
                                                    determine whether the pair was appropriate.                                                                     linked during ordering. In this case, clinicians
support. While many problem-medication
                                                                                                                                                                    may arbitrarily select a problem to link or link
knowledge bases are available, few problem-
                                                                 Appropriateness Thresholds for Problem-Laboratory Test Link Inference                              to a health maintenance code, which we
laboratory test knowledge bases exist. Current
                                                                                                                                                                    excluded from our analysis.
methods for generating such knowledge                  0                                                          Link Ratio
bases, such as association rule mining, are                                            0.1      0.1-0.19       0.2-0.29      0.3-0.49        >=0.5     Total        This study is limited in that it was performed in
limited or computationally complex.                                         1         72%           68%            68%           80%          72%       72%         a single setting with a small subset of linked
                                                                                                                                                                    problem-laboratory test pairs. Additional
                                                       Patient Link




                                                                            2         76%           64%            72%           76%          64%       76%
                                                       Frequency




                                                                          3-4         84%           76%            84%           80%          88%       84%         research is necessary to determine whether
              Crowdsourcing                                                                                                                                         more data may improve the findings, and
                                                                          5-9         76%           64%            72%           80%        68.8%       76%
Crowdsourcing, defined as outsourcing a task                                                                                                                        whether the methods are generalizable.
                                                                         >=10         56%           68%            56%           48%        77.8%       56%
to a group of people, represents a novel
                                                                         Total      72.8%           68%          70.4%         72.8%          74%     72.8%
method for generating such a knowledge
base. The approach takes advantage of                                                                                                                                        Summary of Conclusions
manually linked laboratory tests to clinical                                                          Example Links                                                 Use of the crowdsourcing methodology with
problems by clinicians during standard e-                                                                                                                           the initially proposed evaluation metrics did
ordering, a task required by many institutions             Appropriate Problem-Laboratory Test Pairs               Inappropriate Problem-Laboratory Test Pairs      not adequately identify appropriate problem-
for billing purposes.                                                          Laboratory                                         Laboratory                        laboratory test links. Further research may
                                                        Problem                             Frequency Ratio         Problem                    Frequency Ratio
                                                                                  Test                                               Test                           better evaluate these associations.
                                                    Abdominal Pain          Fecal                   4 0.11      Chronic Renal   TSH, 3rd               1 0.03
Sample Screen for Linking to a Problem                                      Leukocyte Stain                     Insufficiency   Generation
                                                    Abdominal Pain          CBC                     7 0.01      Aortic          TSH, 3rd               2 0.12                   Acknowledgements
                                                    Acute                   Streptococcus           6 0.60      Aneurysm        Generation                          This project was supported by Contract No.
                                                    Pharyngitis             Test Rapid                          Aortic          Hemoglobin A1c         3 0.23       10510592 for Patient-Centered Cognitive Support
                                                                                                                Aneurysm                                            under the SHARP Program from the Office of the
                                                    Atrial Fibrillation     Prothrombin            54 0.26
                                                                                                                                                                    National Coordinator for Health Information
                                                                            Time with INR                       Aortic Stenosis Hepatic                  4   0.57
                                                                                                                                Function Panel                      Technology and NCATS grant UL1 TR000371.
                                                    Abdominal Pain          Calprotectin,          13 0.30
                                                                            Stool                               Hyperlipidemia PSA Total+               13   0.54     Please contact the first author via email:
                                                                                                                               % Free                                      allison.b.mccoy@uth.tmc.edu
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Use of the Crowdsourcing Methodology to Generate a Problem-Laboratory Test Knowledge Base

  • 1. Use of the Crowdsourcing Methodology to Generate a Problem-Laboratory Test Knowledge Base Allison B. McCoy, PhD1, Adam Wright, PhD2, Jacob A. McCoy, MS3, Dean F. Sittig, PhD1 1The University of Texas Health Science Center at Houston – School of Biomedical Informatics 2Brigham and Women’s Hospital, Harvard Medical School Objective Methods Results Discussion To determine whether crowdsourcing is We applied crowdsourcing to create a Clinicians asserted 17,555 links (4,067 distinct Crowdsourcing has previously been effective at generating a knowledge base of knowledge base of problem-laboratory test problem-laboratory test pairs) during the study demonstrated to be effective at identifying related clinical problems and laboratory test pairs. We retrieved all problem-laboratory period. Of the 600 links evaluated, 429 appropriate problem-medication pairs. Despite results using links asserted by clinicians tests pairs linked by clinicians at a large, multi- (71.5%) were determined to be appropriate. similar processes used by clinicians in during e-ordering. specialty, ambulatory academic practice Of these, 2,715 (66.8%) were asserted for ordering medications and laboratory tests, it between June 1, 2010 and May 31, 2011. only one patient and 224 (5.5%) were did not generalize well when applied to We calculated the frequency of patients with asserted for 10 or more patients. generating a problem-laboratory test Background knowledge base. each link and the proportion of patients with a The table depicts the appropriateness for each Knowledge bases that link clinical problems to co-occurring laboratory test and problem for threshold group. No threshold groups One potential cause of the poor performance medications, laboratory tests, and other whom a link had been manually asserted (i.e., achieved appropriateness greater than or is the use of laboratory test results for clinical data can be applied to improve patient link ratio). We stratified links into threshold equal to 95%, and we did not observe an diagnostic purposes; because the clinician safety and meet Meaningful Use criteria in a groups according to each measure. Blinded to increasing trend in appropriateness as the has not determined whether a patient has a variety of ways, including generating patient the threshold values, we reviewed 25 patient frequency or link ratio increased. given disease, the problem has not been summaries, facilitating medication randomly selected pairs from each group to added to the patient’s list and is therefore not reconciliation, and delivering clinical decision determine whether the pair was appropriate. linked during ordering. In this case, clinicians support. While many problem-medication may arbitrarily select a problem to link or link knowledge bases are available, few problem- Appropriateness Thresholds for Problem-Laboratory Test Link Inference to a health maintenance code, which we laboratory test knowledge bases exist. Current excluded from our analysis. methods for generating such knowledge 0 Link Ratio bases, such as association rule mining, are 0.1 0.1-0.19 0.2-0.29 0.3-0.49 >=0.5 Total This study is limited in that it was performed in limited or computationally complex. 1 72% 68% 68% 80% 72% 72% a single setting with a small subset of linked problem-laboratory test pairs. Additional Patient Link 2 76% 64% 72% 76% 64% 76% Frequency 3-4 84% 76% 84% 80% 88% 84% research is necessary to determine whether Crowdsourcing more data may improve the findings, and 5-9 76% 64% 72% 80% 68.8% 76% Crowdsourcing, defined as outsourcing a task whether the methods are generalizable. >=10 56% 68% 56% 48% 77.8% 56% to a group of people, represents a novel Total 72.8% 68% 70.4% 72.8% 74% 72.8% method for generating such a knowledge base. The approach takes advantage of Summary of Conclusions manually linked laboratory tests to clinical Example Links Use of the crowdsourcing methodology with problems by clinicians during standard e- the initially proposed evaluation metrics did ordering, a task required by many institutions Appropriate Problem-Laboratory Test Pairs Inappropriate Problem-Laboratory Test Pairs not adequately identify appropriate problem- for billing purposes. Laboratory Laboratory laboratory test links. Further research may Problem Frequency Ratio Problem Frequency Ratio Test Test better evaluate these associations. Abdominal Pain Fecal 4 0.11 Chronic Renal TSH, 3rd 1 0.03 Sample Screen for Linking to a Problem Leukocyte Stain Insufficiency Generation Abdominal Pain CBC 7 0.01 Aortic TSH, 3rd 2 0.12 Acknowledgements Acute Streptococcus 6 0.60 Aneurysm Generation This project was supported by Contract No. Pharyngitis Test Rapid Aortic Hemoglobin A1c 3 0.23 10510592 for Patient-Centered Cognitive Support Aneurysm under the SHARP Program from the Office of the Atrial Fibrillation Prothrombin 54 0.26 National Coordinator for Health Information Time with INR Aortic Stenosis Hepatic 4 0.57 Function Panel Technology and NCATS grant UL1 TR000371. Abdominal Pain Calprotectin, 13 0.30 Stool Hyperlipidemia PSA Total+ 13 0.54 Please contact the first author via email: % Free allison.b.mccoy@uth.tmc.edu