Team 11 Alexander Copp Joelle Grider Kaya Yarman and Noa Jeremias Clients Jennifer Holmes Director of ED Operations Deidre Todd Clerical Manager Coordinators Olivia DeTroyer Industrial Engineer ID: 759365
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Slide1
Clerical Staffing and Workload in AES/CES Final Report
Team 11: Alexander Copp, Joelle Grider, Kaya Yarman and Noa Jeremias
Clients: Jennifer Holmes, Director of ED Operations
Deidre Todd, Clerical Manager
Coordinators: Olivia DeTroyer, Industrial Engineer
Mustafa Mushtaq, Improvement Engineering Fellow
Dr. Mark Van Oyen, Professor
2018|Winter|11
Slide2Introduction
Slide3Clerical Staff Roles
Check-in Clerk
Unit Host Clerk
Unit Clerks
AES:
Main
South
East
WestEC3
Resource Clerk
Lead/Charge Clerk
CES:
CES
Slide4Goals and Objectives
Reevaluate each shift
Address over and under utilization
Increase patient and employee satisfaction
Balance staffing model and workload
Slide5Key Issues
Perceived delay during peak hours
Unbalanced workload
Discontinuity in workflow
Slide6Project Scope
Hospital
AES
CES
Employees
Clerks
A
ES
Slide7Methods: Observations
Slide8Methods: Time Studies
Slide9Methods: Interviews
Slide10Methods: Benchmarks
Contacted four large research hospitals
Focused on findings from St. Joseph’s Mercy Hospital
Topics: Clerical tasks, visitors, breaks
Slide11Methods: Historical Data
Patient Arrival(Check-in)
Visitor counts(Unit Host)
Aspect phone data(Unit Clerks except Main)
Outside record data(West, CES Unit Clerk)
Ready bed page data(South, CES Unit Clerk)
Resus bay arrivals(EC3 Unit Clerk)
Break coverage data(Resource, Lead/Charge)
Slide12Methods: Time Sheets
Figure 1. Template of Clerical times sheet for CES unit clerk
Slide13Findings: Check-In Clerk
Figure 1. Workload analysis of AES and CES check-in clerks(source: check-in data, sample size: n = 183 days, date: 7/21 - 12/31/2017)
ShiftAESCES11 pm20103 am1247 am311011 am52183 pm49207 pm3721
Table 1. Average check-ins by shift
(source: check-in data, sample size: n = 183 days, date: 7/1 - 12/31/17)
Table 2. Average patient check-in time(source: observations, sample size: (AES) n = 23 (CES) n = 17, date: 1/20 - 3/15/17)
AES1 min. 10 s.CES2 min. 36 s.
Average utilizationAES: 20%CES: 20%
Slide14Findings: Unit Host Clerk
Table 3. Daily average visitor counts(source: Monthly visitor count data, sample size: n = 183 days, date: 7/1 - 12/31/17)
AES239CES131
Table 4. Average visitor escort time(source: observations, sample size: (AES) n = 6 (CES) n = 13, date: 1/20 - 3/15/17)
AES2 min. 31 s.CES2 min. 27.5 s.
Figure 2. Workload analysis of AES and CES unit host clerks(source: timesheets, sample size: n = 34 shifts, date: 3/29 - 3/30/2018)(source: Monthly visitor count data, sample size: n = 183 days, date: 7/1 - 12/31/17)(source: observations, sample size: (AES) n = 6 (CES) n = 13, date: 1/20 - 3/15/17)
Average utilization
AES 1: 23%
AES 2: 37%
CES: 22%
Slide15Findings: CES Unit Clerk
Figure 8. Workload analysis of CES desk 1 and desk 2 clerks
(source: timesheets, sample size: n = 23 clerks, date: 3/29 - 3/30/2018, used for task distributions for desk 1 and desk 2 clerks)(source: Aspect reports, sample size: n = 183 days, date: 7/1 - 12/31/2017, used for average call time and average calls per day for desk 1 clerk)(source: Monthly record counts, sample size n = 183 days, date: 7/1 - 12/31/2017, used for daily average outside records per day)(source: CES outside records screenshot, sample size n = 39 hours, date: 3/14 - 3/15/17, used for outside record shift dist.)(source: Ready bed page data, sample size n = 183 days, date 7/1 - 12/31/2017, used for ready bed page shift dist.)
No CES Desk 2 clerk 3 am - 7 am 1 of 2 days
Ready bed pages
Patient call lightReferrals
Average utilization
Desk 1: 28% Desk 2: 14%
Total count other tasks (not specified):Desk 1: 27Desk 2: 86
Slide16Findings: Main Unit Clerk
No data for either role between 3 pm - 5 pm
Only one clerk on duty 3 am - 7 am
Average utilizationMaize: 21% Blue: 24%
Figure 3. Workload analysis of maize and blue clerks(source: timesheets, sample size: n = 11 clerks, date: 3/30/2018)
Total count other tasks (not specified):Maize: 63Blue: 20
Uploading CD’s
Patient call lights
Resus activation
Slide17Findings: East Unit Clerk
Figure 4. Workload analysis of East unit clerks (source: Timesheets, sample size: n = 12 clerks, date: 3/29 - 3/30/2018, used for workload dist.) (source: Aspect reports, sample size: n = 183 days, date: 7/1 - 12/31/2017, used for average call time)
Average utilizationEast: 8%
Total count other tasks (not specified):East: 268
Patient call lights
Work orders
Slide18Findings: South Unit Clerk
Average utilization
South: 19%
Total count other tasks (not specified):South: 39
Figure 6. Workload analysis of West unit clerks (source: Timesheets, sample size: n = 6 clerks, date: 3/29/2018, used for workload dist.) (source: Aspect reports, sample size: n = 183 days, date: 7/1 - 12/31/2017, used for average call time)(source: Bed ready page data, sample size n = 183 days, date 7/1 - 12/31/2017, used for Bed ready page shift dist.)
Patient call lightsUploading CD’sTransports
Slide19Findings: West Unit Clerk
Average utilizationWest: 12%
Figure 6. Workload analysis of West unit clerks (source: Timesheets, sample size: n = 4 clerks, date: 3/30/2018, used for workload dist.) (source: Aspect reports, sample size: n = 183 days, date: 7/1 - 12/31/2017, used for average call time)(source: Monthly record counts, sample size n = 183 days, date: 7/1 - 12/31/2017, used for number of records per day)(source: AES outside records screenshot, sample size n = 39 hours, date: 3/14 - 3/15/17, used for outside record shift dist.)
No time sheet data between 11 am - 7 pm
Slide20Findings: EC3 Unit Clerk
Average utilization
EC3: 9%
Frequent outside record tallys between11 am - 7 pm
Figure 6. Workload analysis of EC3 unit clerks (source: Timesheets, sample size: n = 6 clerks, date: 3/30/2018, used for workload dist.) (source: Aspect reports, sample size: n = 183 days, date: 7/1 - 12/31/2017, used for average call time)** add in resus registration
Patient call lightsStickers/ Forms/ PagesMeal orders
Slide21Findings: Resource, Lead, Charge Clerks
Figure 7. Workload analysis of Resource, Lead and Charge Clerks
(source: Clerical resource coverage data, sample size: n = 7 days, date: 3/26 - 4/5/2018, used for shift coverage data)
Average utilizationResource: 67%Lead/Charge: 62%
Slide22Findings: Benchmarks for St. Joes
Slide23Findings: Interviews
Slide24Conclusions: Average Utilizations Per Role
Figure 7. Workload analysis all clerical roles
Slide25Recommendations: Additional Tasks
Slide26Recommendations: Reinforced Tasks
Slide27Balanced Workload
Improved Satisfaction
Increased Efficiency
Expected Impact
Slide28Opportunities for Additional Analysis
Completed analysis:
Future analysis:
Major tasks performed in each role
Provider feedback on current state and task re-distribution opportunities
Gathering of historical data on tasks where available
Assess feasibility of additional training opportunities (ex: paging)
Focus on underutilized roles
Utilize time sheets for a more representative workload distribution
Comparison of clerical operations in other emergency departments