Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Ronilda C. Lacson, Ph.D., M.D.

Co-Author

This page shows the publications co-authored by Ronilda Lacson and Ramin Khorasani.
Connection Strength

21.198
  1. Factors Associated With Follow-up Testing Completion in Patients With Incidental Pulmonary Nodules Assessed to Require Follow-up. J Am Coll Radiol. 2022 03; 19(3):433-436.
    View in: PubMed
    Score: 0.985
  2. Integrity of clinical information in radiology reports documenting pulmonary nodules. J Am Med Inform Assoc. 2021 01 15; 28(1):80-85.
    View in: PubMed
    Score: 0.916
  3. Exacerbation of Inequities in Use of Diagnostic Radiology During the Early Stages of Reopening After COVID-19. J Am Coll Radiol. 2021 05; 18(5):696-703.
    View in: PubMed
    Score: 0.915
  4. Closing the Loop on Unscheduled Diagnostic Imaging Orders: A Systems-Based Approach. J Am Coll Radiol. 2021 Jan; 18(1 Pt A):60-67.
    View in: PubMed
    Score: 0.898
  5. Unscheduled Radiologic Examination Orders in the Electronic Health Record: A Novel Resource for Targeting Ambulatory Diagnostic Errors in Radiology. J Am Coll Radiol. 2020 Jun; 17(6):765-772.
    View in: PubMed
    Score: 0.854
  6. Factors Associated With Optimal Follow-up in Women With BI-RADS 3 Breast Findings. J Am Coll Radiol. 2020 Apr; 17(4):469-474.
    View in: PubMed
    Score: 0.841
  7. Classifying Safety Events Related to Diagnostic Imaging From a Safety Reporting System Using a Human Factors Framework. J Am Coll Radiol. 2019 Mar; 16(3):282-288.
    View in: PubMed
    Score: 0.791
  8. Integrity of clinical information in computerized order requisitions for diagnostic imaging. J Am Med Inform Assoc. 2018 12 01; 25(12):1651-1656.
    View in: PubMed
    Score: 0.790
  9. Multivariate Analysis of Radiologists' Usage of Phrases that Convey Diagnostic Certainty. Acad Radiol. 2019 09; 26(9):1229-1234.
    View in: PubMed
    Score: 0.790
  10. Impact of a Health Information Technology Intervention on the Follow-up Management of Pulmonary Nodules. J Digit Imaging. 2018 02; 31(1):19-25.
    View in: PubMed
    Score: 0.746
  11. Medicare Imaging Demonstration: Assessing Attributes of Appropriate Use Criteria and Their Influence on Ordering Behavior. AJR Am J Roentgenol. 2017 May; 208(5):1051-1057.
    View in: PubMed
    Score: 0.701
  12. Assessing Strength of Evidence of Appropriate Use Criteria for Diagnostic Imaging Examinations. J Am Med Inform Assoc. 2016 05; 23(3):649-53.
    View in: PubMed
    Score: 0.648
  13. Impact of an electronic alert notification system embedded in radiologists' workflow on closed-loop communication of critical results: a time series analysis. BMJ Qual Saf. 2016 07; 25(7):518-24.
    View in: PubMed
    Score: 0.632
  14. Four-year impact of an alert notification system on closed-loop communication of critical test results. AJR Am J Roentgenol. 2014 Nov; 203(5):933-8.
    View in: PubMed
    Score: 0.595
  15. Automated critical test result notification system: architecture, design, and assessment of provider satisfaction. AJR Am J Roentgenol. 2014 Nov; 203(5):W491-6.
    View in: PubMed
    Score: 0.595
  16. Retrieval of radiology reports citing critical findings with disease-specific customization. Open Med Inform J. 2012; 6:28-35.
    View in: PubMed
    Score: 0.510
  17. Information from Searching Content with an Ontology-Utilizing Toolkit (iSCOUT). J Digit Imaging. 2012 Aug; 25(4):512-9.
    View in: PubMed
    Score: 0.509
  18. Practical examples of natural language processing in radiology. J Am Coll Radiol. 2011 Dec; 8(12):872-4.
    View in: PubMed
    Score: 0.486
  19. Natural language processing for radiology (part 2). J Am Coll Radiol. 2011 Aug; 8(8):583-4.
    View in: PubMed
    Score: 0.475
  20. Natural language processing: the basics (part 1). J Am Coll Radiol. 2011 Jun; 8(6):436-7.
    View in: PubMed
    Score: 0.470
  21. Adoption of a diagnostic certainty scale in abdominal imaging: 2-year experience at an academic institution. Abdom Radiol (NY). 2022 03; 47(3):1187-1195.
    View in: PubMed
    Score: 0.245
  22. A Case-control Study of Major Genetic Predisposition Risk Alleles in Developing DDD in the Northeast US Population: Effects of Gene-gene Interactions. Spine (Phila Pa 1976). 2021 Nov 15; 46(22):1525-1533.
    View in: PubMed
    Score: 0.242
  23. Use of a PACS Embedded System for Communicating Radiologist to Technologist Learning Opportunities and Patient Callbacks. Curr Probl Diagn Radiol. 2021 Nov 03.
    View in: PubMed
    Score: 0.242
  24. Variation in Radiologists' Follow-Up Imaging Recommendations for Small Cystic Pancreatic Lesions. J Am Coll Radiol. 2021 10; 18(10):1405-1414.
    View in: PubMed
    Score: 0.236
  25. Radiologist Variation in the Rates of Follow-up Imaging Recommendations Made for Pulmonary Nodules. J Am Coll Radiol. 2021 07; 18(7):896-905.
    View in: PubMed
    Score: 0.230
  26. RADAR: A Closed-Loop Quality Improvement Initiative Leveraging A Safety Net Model for Incidental Pulmonary Nodule Management. Jt Comm J Qual Patient Saf. 2021 05; 47(5):275-281.
    View in: PubMed
    Score: 0.228
  27. Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools. J Am Coll Radiol. 2020 Nov; 17(11):1363-1370.
    View in: PubMed
    Score: 0.226
  28. Physician Agreement With Recommendations Contained in a National Guideline for the Management of Incidental Pulmonary Nodules: A Case Study. J Am Coll Radiol. 2020 Nov; 17(11):1437-1442.
    View in: PubMed
    Score: 0.222
  29. Three-Dimensional Neural Network to Automatically Assess Liver Tumor Burden Change on Consecutive Liver MRIs. J Am Coll Radiol. 2020 Nov; 17(11):1475-1484.
    View in: PubMed
    Score: 0.221
  30. Comparing Breast and Abdominal Subspecialists' Follow-Up Recommendations for Incidental Liver Lesions on Breast MRI. J Am Coll Radiol. 2020 Jun; 17(6):773-778.
    View in: PubMed
    Score: 0.214
  31. Radiologists' Self-Assessment Versus Peer Assessment of Perceived Probability of Recommending Additional Imaging. J Am Coll Radiol. 2020 Apr; 17(4):504-510.
    View in: PubMed
    Score: 0.213
  32. Comparing Artificial Intelligence Approaches to Retrieve Clinical Reports Documenting Implantable Devices Posing MRI Safety Risks. J Am Coll Radiol. 2020 Feb; 17(2):272-279.
    View in: PubMed
    Score: 0.207
  33. Fast Healthcare Interoperability Resources, Clinical Quality Language, and Systematized Nomenclature of Medicine-Clinical Terms in Representing Clinical Evidence Logic Statements for the Use of Imaging Procedures: Descriptive Study. JMIR Med Inform. 2019 May 13; 7(2):e13590.
    View in: PubMed
    Score: 0.204
  34. Variation in Follow-up Imaging Recommendations in Radiology Reports: Patient, Modality, and Radiologist Predictors. Radiology. 2019 06; 291(3):700-707.
    View in: PubMed
    Score: 0.204
  35. Adoption of a Closed-Loop Communication Tool to Establish and Execute a Collaborative Follow-Up Plan for Incidental Pulmonary Nodules. AJR Am J Roentgenol. 2019 Feb 19; 1-5.
    View in: PubMed
    Score: 0.201
  36. Use of Machine Learning to Identify Follow-Up Recommendations in Radiology Reports. J Am Coll Radiol. 2019 Mar; 16(3):336-343.
    View in: PubMed
    Score: 0.199
  37. Radiologist Preferences, Agreement, and Variability in Phrases Used to Convey Diagnostic Certainty in Radiology Reports. J Am Coll Radiol. 2019 Apr; 16(4 Pt A):458-464.
    View in: PubMed
    Score: 0.198
  38. Assessing information sources to elucidate diagnostic process errors in radiologic imaging - a human factors framework. J Am Med Inform Assoc. 2018 11 01; 25(11):1507-1515.
    View in: PubMed
    Score: 0.196
  39. A Clinical Model for the Early Diagnosis of Acute Pancreatitis in the Emergency Department. Pancreas. 2018 08; 47(7):871-879.
    View in: PubMed
    Score: 0.193
  40. Assessing Documentation of Critical Imaging Result Follow-up Recommendations in Emergency Department Discharge Instructions. J Digit Imaging. 2018 08; 31(4):562-567.
    View in: PubMed
    Score: 0.193
  41. Patient, Radiologist, and Examination Characteristics Affecting Screening Mammography Recall Rates in a Large Academic Practice. J Am Coll Radiol. 2019 Apr; 16(4 Pt A):411-418.
    View in: PubMed
    Score: 0.193
  42. High-Grade Serous Ovarian Cancer: Use of Machine Learning to Predict Abdominopelvic Recurrence on CT on the Basis of Serial Cancer Antigen 125 Levels. J Am Coll Radiol. 2018 Aug; 15(8):1133-1138.
    View in: PubMed
    Score: 0.190
  43. Characteristics of knowledge content in a curated online evidence library. J Am Med Inform Assoc. 2018 05 01; 25(5):507-514.
    View in: PubMed
    Score: 0.190
  44. Risk Stratification Model: Lower-Extremity Ultrasonography for Hospitalized Patients with Suspected Deep Vein Thrombosis. J Gen Intern Med. 2018 01; 33(1):21-25.
    View in: PubMed
    Score: 0.182
  45. Comparing Diagnostic Performance of Digital Breast Tomosynthesis and Full-Field Digital Mammography in a Hybrid Screening Environment. AJR Am J Roentgenol. 2017 Oct; 209(4):929-934.
    View in: PubMed
    Score: 0.179
  46. Evaluating Terminologies to Enable Imaging-Related Decision Rule Sharing. AMIA Annu Symp Proc. 2016; 2016:2082-2089.
    View in: PubMed
    Score: 0.174
  47. JOURNAL CLUB: Predictors of Provider Response to Clinical Decision Support: Lessons Learned From the Medicare Imaging Demonstration. AJR Am J Roentgenol. 2017 Feb; 208(2):351-357.
    View in: PubMed
    Score: 0.172
  48. Does integrating nonurgent, clinically significant radiology alerts within the electronic health record impact closed-loop communication and follow-up? J Am Med Inform Assoc. 2016 Mar; 23(2):333-8.
    View in: PubMed
    Score: 0.158
  49. Impact of an Information Technology-Enabled Initiative on the Quality of Prostate Multiparametric MRI Reports. Acad Radiol. 2015 Jul; 22(7):827-33.
    View in: PubMed
    Score: 0.153
  50. Journal club: Renal masses detected at abdominal CT: radiologists' adherence to guidelines regarding management recommendations and communication of critical results. AJR Am J Roentgenol. 2014 Oct; 203(4):828-34.
    View in: PubMed
    Score: 0.148
  51. Gastrointestinal stromal tumor: optimizing the use of cross-sectional chest imaging during follow-up. Radiology. 2015 Feb; 274(2):395-404.
    View in: PubMed
    Score: 0.147
  52. Automated extraction of BI-RADS final assessment categories from radiology reports with natural language processing. J Digit Imaging. 2013 Oct; 26(5):989-94.
    View in: PubMed
    Score: 0.138
  53. Factors associated with external ventricular drain placement accuracy: data from an electronic health record repository. Acta Neurochir (Wien). 2013 Sep; 155(9):1773-9.
    View in: PubMed
    Score: 0.135
  54. Factors associated with radiologists' adherence to Fleischner Society guidelines for management of pulmonary nodules. J Am Coll Radiol. 2012 Jul; 9(7):468-73.
    View in: PubMed
    Score: 0.127
  55. Critical finding capture in the impression section of radiology reports. AMIA Annu Symp Proc. 2011; 2011:465-9.
    View in: PubMed
    Score: 0.121
  56. Leveraging terminologies for retrieval of radiology reports with critical imaging findings. AMIA Annu Symp Proc. 2011; 2011:1481-8.
    View in: PubMed
    Score: 0.121
  57. Electronic Health Record Transition and Impact on Screening Test Follow-Up. Jt Comm J Qual Patient Saf. 2021 07; 47(7):422-430.
    View in: PubMed
    Score: 0.058
  58. Comparing Tumor Characteristics and Rates of Breast Cancers Detected by Screening Digital Breast Tomosynthesis and Full-Field Digital Mammography. AJR Am J Roentgenol. 2020 03; 214(3):701-706.
    View in: PubMed
    Score: 0.052
  59. Ambulatory Safety Nets to Reduce Missed and Delayed Diagnoses of Cancer. Jt Comm J Qual Patient Saf. 2019 08; 45(8):552-557.
    View in: PubMed
    Score: 0.051
  60. Semiautomated System for Nonurgent, Clinically Significant Pathology Results. Appl Clin Inform. 2018 04; 9(2):411-421.
    View in: PubMed
    Score: 0.048
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.