The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Dermatopathologists' concerns and challenges with clinical information in the skin biopsy requisition form: a mixed‐methods study
Open accessAbstract
Background: Communication failures between clinicians and dermatopathologists are prevalent. Our primary objective was to characterize the concerns and challenges of dermatopathologists posed by incomplete or inaccurate clinical information in the skin biopsy requisition form. Methods: An explanatory sequential, mixed‐methods study design comprised of a survey sent to 1103 members of the American Society of Dermatopathology ( ASDP ), followed by two focus group sessions. Results: A total of 54% (598/1103) of dermatopathologists completed the questionnaire. Most dermatopathologists (80%; 436/548) viewed their roles to be providers of histopathological diagnosis and a report that is clinically meaningful. Paper or electronic requisition forms were the most common communication method (85%; 458/541) and were associated with the highest rates of dissatisfaction in 36% (193/537) of respondents. Inadequacy of specimens emerged as an important factor influencing judgment of the quality of provided clinical information. 44.7% (261/584) of dermatopathologists spent 30 minutes or more on average every day searching for relevant clinical information to assist with their histopathologic interpretation. Conclusion: ASDP dermatopathologists expressed significant dissatisfaction with the quality of clinical information in the requisition form and the time spent gathering information necessary for accurate, timely and clinically meaningful diagnosis. These findings have implications for the quality, safety and efficiency of dermatologic care.
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Pertinent and accurate non-imaging data based on clinical history and laboratory data enable physicians to interpret imaging findings in the appropriate clinical context, leading to higher diagnostic accuracy, informative clinical decision making, and improved patient outcomes.
“Pertinent and accurate non-imaging data based on the clinical history and laboratory data enable physicians to interpret imaging findings in the appropriate clinical context, leading to a higher diagnostic accuracy, informative clinical decision making, and improved patient outcomes.”
From Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines (2020) · cites this paper as [5]
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Experimental — accuracy not yet measuredMany imaging-based medical specialties such as pathology, ophthalmology, and dermatology rely on clinical data to guide image interpretation in practice.
“The importance of clinical context for accurate interpretation of imaging data is not limited to radiology; instead many other imaging-based medical specialties such as pathology, ophthalmology, and dermatology, also rely on clinical data to guide image interpretation in practice4–6.”
From Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines (2020) · cites this paper as [5]
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Watson, A. J., Redbord, K. P., Taylor, J. S., Shippy, A. M., Kostecki, J., & Swerlick, R. A. (2013) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2012.10.058 · Cited by 38
The vanishing biopsy: the trend toward smaller specimens.
Fernandez, E. M., Helm, T. N., Ioffreda, M. D., et al. (2005) · PubMed · Cited by 37
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Comfere, N. I., Sokumbi, O., Montori, V. M., LeBlanc, A., Prokop, L. J., Murad, M. H., & Tilburt, J. C. (2014) · International Journal of Dermatology · doi:10.1111/ijd.12330 · Cited by 32
Self-citation“Lesion,” “Rule out…,” and other vagaries of filling out pathology requisition forms
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The Utility of Clinical Photographs in Dermatopathologic Diagnosis: A Survey Study
Mohr, M. R., Indika, S. H. S., & Hood, A. F. (2010) · Archives of Dermatology · doi:10.1001/archdermatol.2010.315 · Cited by 12
Next steps: envisioning a research agenda
Graber, M. L. (2009) · Advances in Health Sciences Education · doi:10.1007/s10459-009-9183-1 · Cited by 7
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Huang, S.-C., Pareek, A., Seyyedi, S., Banerjee, I., & Lungren, M. P. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-00341-z · Cited by 934
Artificial intelligence-based methods for fusion of electronic health records and imaging data
Mohsen, F., Ali, H., El Hajj, N., & Shah, Z. (2022) · Scientific Reports · doi:10.1038/s41598-022-22514-4 · Cited by 250
Metadata
- Authors
- Comfere, N. I., Peters, M. S., Jenkins, S., Lackore, K., Yost, K., & Tilburt, J.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Comfere, Nneka I.
- Venue
- Journal of Cutaneous Pathology
- Publisher
- Wiley
- Published
- 2015-04-21
- Volume
- 42
- Issue
- 5
- Pages
- 333-345
- ISSN
- 0303-6987 (ISSN-L)
- 1600-0560
- PMC
- PMC4701217
- OpenAlex
- W1608104685
- Semantic Scholar
- d7272cacbc11c2b8368a4cb04ba14582942ad466
- Cited by
- 40
- References
- 14
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 5 · 2023: 6 · 2022: 4 · 2021: 2 · 2020: 5 · 2019: 1 · 2018: 2 · 2017: 1 · 2016: 6 · 2015: 1
- FWCI
- 2.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Cutaneous Pathology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Center for Advancing Translational Sciences (UL1 TR000135)
- Topics
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Systems and Technology
- Health Sciences › Medicine › Dermatology › Medicine and Dermatology Studies History
- Keywords
- dermatopathology, clinical information quality, specimen adequacy, histopathologic interpretation
- MeSH terms
- Data Accuracy, Biopsy, Dermatology, Female, Forms and Records Control, Humans, Male, Middle Aged, Pathology, Perception, Surveys and Questionnaires, Referral and Consultation, Skin, Specimen Handling, Focus Groups, Interdisciplinary Communication, Electronic Health Records
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