Chapter 1 INDICATOR STATEMENT
INDICATOR:
TECHNICAL TEAM PRODUCTIVITY
DEFINITION: The indicator in this study is the productivity of the technical team of the department based on documented job report service hours (completed/uncompleted) compared with the total number of hours available. TYPE OF INDICATOR This is a rate-based outcome indicator. RELEVANCE Provide feedback to technical staff and hospital administration regarding utilization of available time for department support activities. PROCEDURE 1. Data will be gathered monthly from the work-order records history. Analysis will be performed base from the trend of the previous monthly data in monthly interval. A technical staff available hour is calculated in monthly. 2. The base time available is 192 hours (48 hours/week x 4 weeks) per individual. Overtime work will be added during interval. Holidays, sick days and vacations days will be subtracted during the interval. 3. Productivity (maintenance or management) average = (TCJH+TUJH)/AWH TCJH = total hours of technical staff completed job/number of staff TUJH = total hours of technical staff uncompleted job/number of staff AWH = available working hours per month 4. Indicator threshold A. At least 50% of available technical staff time will be spent providing equipment maintenance support services (resolving equipment problems and scheduled internal Periodic Preventive Maintenance (PPM)). B. At least 25% of available technical staff time will be spent equipment management support services (installation, acceptance testing, incoming inspections, equipment inventory database management, and hazard notification review). 1—1
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5. The indicator will be compared with the threshold, and the information will be provided to the team and individual. The team and individual data can be summoned and reviewed by the department. Historical indicator information will be utilized to determine trends and patterns. INDICATOR DATA COLLECTION Data will be encoded on Microsoft Excel sheet to record all the information needed and will be statistically analyzed.
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PILOT STUDY
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PROBLEM STATEMENT 1. According to the statistical data A. The average hours for maintenance work are % from January 15 to April 2015 which is low. B. The average hours for management work are % from January 15 to April 2015 which is low. C. Average work hour each staff members is also not well distributed. 2. Causes A. Most machines are currently under warranty. B. Incomplete information on job order reports. C. Work order requests without job reports . D. Work is not well distributed to technical staff. E. Change in technical staff (engineer or technician). GOAL STATEMENT 1. To increase maintenance productivity to 50% 2. To increase management productivity to 25%. 3. To orient the technical staff about work order requests and job order reports. 4. To distribute the workload evenly to all technical staff.
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IMPROVEMENT TEAM SELECTION BMED QM Head Coordinator BMED Assistant QM Coordinator BMED Technical Team Coordinators BMED Equipment Management Coordinator BMED Director
: : : : : :
Engr. Joey C. Bagatela Engr. Jayaprakash Veerasamy Ahmed Shafek Ahmed Mohammed Abdullah Saleh Alharbi Engr.Ahmed Hamad Alhumid
IMPROVEMENT PROJECT PLAN PROCEDURE Define the Indicator Measure Statistics Analyze Statistics Improvements Evaluation
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START DATE August 31, 2014 September 14, 2014 September 27, 2014 October 30, 2014 November 30, 2014
TECHNICAL TEAM PRODUCTIVITY INDICATOR
END DATE September 14, 2014 September 27, 2014 October 30, 2015 November 30,2014 January 01,2015
Chapter 2 STATISTICAL ANALYSIS
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Chapter 3 QUALITY IMPROVEMENT PROCESSES
The Quality Improvement Team is going to do the following actions from January 2015 to May 2015.
TASK
INCHARGE
Meeting with the Technical Staff and summon in individuals that did not meet the threshold
Bio-Medical Engineering Department Director
DATE January 2015
Quality Improvement Team
February and March 2015
Quality Improvement Team
April 2015
Bio-Medical Engineering Department Director
May 2015
Preparing the procedures and collecting data
Analyze the statistics of collected data if there is improvement
Meeting about the analysis report
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