Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties
By Christine A. Sinsky, L. Colligan, Ling Li, M. Prgomet, Samuel Reynolds, Lindsey E Goeders, J. Westbrook, Michael A. Tutty, G. Blike. Annals of Internal Medicine, 2016
1,306 citations recorded by the source corpus.
Subfields: Emergency Medical Services, Emergency Medicine, General Health Professions
View Paper: https://www.semanticscholar.org/paper/a9a6598c93a444d93d5d4d890b23a86e452b05ce
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Emergency Medical Services
In Emergency Medicine
In General Health Professions
- Tait D. Shanafelt
- Lotte N. Dyrbye
- Colin P. West
- Christine A. Sinsky
- J. Noseworthy
- Jay Bhatt
- A. Ommaya
- D. Meyers
Citations in the corpus
- Burnout Among Health Care Professionals: A Call to Explore and Address This Underrecognized Threat to Safe, High-Quality Care (2017, background): “Other aspects within the work environment that drive clerical burden likely also contribute [58,68,69].”
- Artificial intelligence in medical education (2019, background): “The most common is that data capture interferes with normal health care workflow practice and procedures that specifically require direct eye contact between doctor and patient (Unger 2015; Gaither 2016; Sinsky et al. 2016; Shanafelt et al. 2016).”
- Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations (2017, result): “These EHR system-event log results are similar to self-report data published by Sinsky et al. 7 In that study, 57 physicians from “high-performance” family medicine, internal medicine, cardiology, and orthopedics practices reported 1 to 2 hours of after-clinic work per day tracked in after-hours…”
- Overview of artificial intelligence in medicine (2019, neutral): “A study conducted in 2016[17] found that physicians spent 27% of their office day on direct clinical face time with their patients and spent 49.”
- Adapted large language models can outperform medical experts in clinical text summarization (2023, positive): “A clinical reader study with 10 physicians evaluated summary completeness, correctness and conciseness; in most cases, summaries from our best-adapted LLMs were deemed either equivalent (45”
- Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques (2020, background): “However, populating them can take as much time as attending to patients (Sinsky et al., 2016) and constitutes a major cause of physician burnout (Kumar and Mezoff, 2020).”
- Executive Leadership and Physician Well‐being: Nine Organizational Strategies to Promote Engagement and Reduce Burnout (2017, background): “In parallel, requirements for “meaningful use” of electronic health records have resulted in large capital expenditures and dramatically increased clerical burden for staff.(1,2) These financial challenges have, by and large, been addressed by increasing productivity expectations for physicians (ie,”