Abbreviations and Acronyms:CDT (case doubling time), COVID-19 (coronavirus disease 2019), DMC (destination medical center), EHR (electronic health record), ICU (intensive care unit), PPE (personal protective equipment)
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Formation of the COVID-19 Predictive Analytics Task Force
|Pre–COVID-19 role at Mayo Clinic||Role on COVID-19 task force|
|Chair of Quality, Experience, and Affordability (Administrative Leader)||Serve as task force leadership by bringing team together, communicating vision and directives, and facilitating dissemination of analytics with hospital practice leadership.|
|Chief Value Officer (Physician Leader)|
|Director of Research, Kern Center for the Science of Health Care Delivery (Scientist Leader)|
|Project management||Set meeting cadence, assist with communication of key messages and drafting of report materials, and provide pre-meeting agendas and post-meeting summaries.|
|Faculty-level Subject Matter Experts with expertise in artificial, intelligence, natural language processing, biostatistics, digital health, epidemiology, and health policy/health services research||Assess predictive analytic methodologies, create automated visual data display/dashboards, review literature, and develop data-driven/evidence-based assumptions for inputs of predictive models.|
|Staff statisticians, data scientists, and analysts||Investigate external COVID-19 models for utility and adaptability to Mayo Clinic hospitals and investigate/compile reliable county-level data sources.|
|Chair, Department of Data and Analytics||Lead the development of COVID-19 testing and inpatient data mart.|
|Chair, Infection Prevention and Control||Lead surveillance of nosocomial infections and communicate PPE guidelines and best practices.|
|Infectious disease physicians||Provide expertise on infectious disease transmission.|
|Clinical practice leadership (MDs)||Provide expertise and frontline insight of COVID-19 issues/concerns voiced by the practice while critically reviewing deliverables and key messages for effective communication with the practice.|
Task Force Assessment of External COVID-19 Hospital Use Prediction Models
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- Jackson P.L.
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Development of Dashboards to Display Key Internal and External COVID-19 Metrics
Curation of a Centralized, EHR-Based Real-Time COVID-19 Data Mart
Creation of Mayo Clinic Hospital–Specific Bayesian Predictive COVID-19 Census Models
Evolution of the Task Force for Additional Hospital Monitoring and Deliverables
Monitoring Usage and Availability of Personal Protective Equipment
Safety for Hospitalized Non–COVID-19 Patients
Succession of Task Force Leadership and Steady-State COVID-19 Monitoring
|1. Create a concise mission and actionable deliverable(s) for a task force to accomplish.|
|Example: Predict ICU COVID-19 census in 1, 2, and/or 4 weeks.|
|2. Recruit task force members from a diverse set of subject-matter experts, pulling from operational/administrative, academic, and analytic resources, with representation of clinical leaders who can rapidly disseminate key findings to the practice.|
|3. Undertake rigorous and rapid assessment of available tools to determine applicability of potential external solutions.|
|4. Identify and aggregate key data sources — both internal and external.|
|5. Uses the EHR and lab data as close to real-time as possible.|
|6. Maintain flexibility to adjust based on what you learn from the data, and create internal solutions and alert thresholds as necessary.|
|7. Foster open communication and teamwork to encourage the growth and identification of related projects.|
|8. Summarize key messages and findings in a concise, scheduled, and consistent manner.|
Supplemental Online Material
- https://www.mayoclinicproceedings.org/cms/asset/d306de11-bd3f-40d5-9de6-04033a315a7b/mmc1.mp4Loading ...
- American Hospital Association. What Healthcare Leaders Need to Know: Preparing for COVID-19. Coronavirus Update Webinar. February 21, 2020 (https://www.aha.org/advisory/2020-02-20-coronavirus-update-register-aha-members-only-webinars-feb-21-and-feb-26-related. Accessed February 26, 2020.)
- The Atlantic Monthly Group. 2020.
- At the Epicenter of the Covid-19 Pandemic and Humanitarian Crises in Italy: Changing Perspectives on Preparation and Mitigation. NEJM Catalyst Innovations in Care Delivery.
- Science of Health Care Delivery: Robert D. and Patricia E. Kern Center. 2020.https://www.mayo.edu/research/centers-programs/robert-d-patricia-e-kern-center-science-health-care-delivery/about(Accessed August 31, 2020)
- IHME COVID-19 health service utilization forecasting team, Christopher JL Murray. Forecasting COVID-19 impact on hospital bed-days, ICU-days, ventilator-days and deaths by US state in the next 4 months. medRxiv.Accessed October 5, 2020)
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Potential Competing Interests: The authors report no potential competing interests.