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Issues surrounding Human Safety encompasses multiple spatial and temporal scales in various environments; including occupational, operational, recreational, medical and surgical environments.
The Human Safety framework includes the following levels of behaviors for consideration:
1) Individual patient/operator/user - EHR's, health history, expertise, experience
2) Provider – biopsies/procedures/processes, surgical/environmental safety checklists, adherence to behavioral interventions
3) Tools, Smart Instrumentation - wearable devices, development data, technology considerations for safety and economic benefits
4) Team - observational studies, training, communication, medical advocate benefit to patient
5) System level – hospitals, nursing homes, research facilities, centers of excellence for different health care issues, methods to select an excellent hospital, factories, schools, gyms/fields
6) Population scale – geographic location considerations, analytics of low and high safety records, interactions occurring outside of the healthcare system that directly influence the healthcare system, public health, non-health related influences on safety
7) Disease level/injury level - Influence of changing State (and Federal) laws on public health, pathophysiology observed, disease or patient models
8) Data and information sharing – data quality, data analysis, performance measures, lessons learned, sharing mechanisms, linking with existing medical specialty groups
October 11, 2019, 1:15pm ET: Human Safety -- 2019 ML-MSM Pre-meeting Webinar - Human Safety: Intro & Population Models
October 8, 2019, 3:15pm ET: Human Safety Programs -- 2019 ML-MSM Pre-meeting Webinar - Human Safety: Virtual Surgery
October 24, 2019 9:15-9:30am: Human Safety Keynote: Suvranu De, Rensselaer Polytechnic Institute
October 25, 2019 8:45 - 9:00am: Integration Keynote:Gunnar Cedersund, Linköping University
Breakout Session charge:
- current state of the art models for human safety
- ML-MSM opportunities for new approaches to human safety
- challenges ML-MSM modelers can address
Relevant Reports/Publications
2018 Simulation Research in Gastrointestinal and Urologic Care-Challenges and Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases and National Institute of Biomedical Imaging and Bioengineering Workshop
2019 Patient Safety Network Blog on ML and Human Safety, Agency for Healthcare Research & Quality: Emerging Safety Issues in Artificial Intelligence
2019 ASGE EndoVators Summit: simulators and the future of endoscopic training
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