Papers

4

Total Citations

52

H-Index

3

About

David S. McClintock is a pathology informaticist whose research sits at the intersection of digital pathology, whole slide imaging (WSI), and laboratory workflow optimization. His most influential contributions center on the practical implementation of WSI technology in clinical settings, particularly addressing the operational and logistical challenges that accompany the transition from traditional glass-slide pathology to fully digital workflows. McClintock's most widely recognized work, a 2012 study on computerized workflow simulations (cited over 40 times across versions), broke new ground by applying simulation modeling to evaluate whether high-volume histology laboratories could realistically sustain full WSI adoption — a question the field had largely overlooked amid enthusiasm for the technology itself. This pragmatic, systems-level perspective distinguished his contributions from purely technical assessments of imaging hardware. His 2021 writings on WSI hardware, software, infrastructure, and telepathology further cemented his role as a comprehensive voice in the maturation of digital pathology as a clinical discipline. For students and researchers entering the field, McClintock's work offers an essential reminder that transformative technologies succeed not through capability alone, but through careful integration into real-world operational environments.

Research Focus

Key Achievements

3
H-Index
4
Papers
52
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Using Computerized Workflow Simulations to Assess the Feasibility of Whole Slide Imaging Full Adoption in a High-Volume Histology Laboratory
23 citations · 2012
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Massachusetts General Hospital, University of Michigan–Ann Arbor

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago