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Statement of the problem
Company is running multiple clinical trials with plans to start additional trials in the near future. Each trial
requires multiple employee roles where workload depends on multiple factors such as number of patients
in each trial, number of sites, length of the trial, and others. Each projected clinical trial has several start
options or could be outsourced. Company faces both budgeting and headcount constraints, current and
projected.
Challenge
ORBee Consulting offers a framework for optimal manpower and budget allocation across both ongoing
and planned clinical studies.
Proposed framework will derive the following:
Company is running multiple clinical trials with plans to start additional trials in the near future. Each trial
requires multiple employee roles where workload depends on multiple factors such as number of patients
in each trial, number of sites, length of the trial, and others. Each projected clinical trial has several start
options or could be outsourced. Company faces both budgeting and headcount constraints, current and
projected.
Challenge
- Predicting the workload for each category of employees
- Finding optimal allocation of manpower and budget across clinical trials
- Deciding which clinical trials should be outsourced
- Scheduling clinical trials to be aligned with company goals, hiring policy and budgeting limitations
ORBee Consulting offers a framework for optimal manpower and budget allocation across both ongoing
and planned clinical studies.
Proposed framework will derive the following:
- Optimal FTE supply growth rate (hiring policy)
- Optimal set of clinical trials scenarios
- FTE demand, supply, and deficit forecasting
- Multiple “what if” scenarios (e.g. clinical trial priority or cancellation)
- Other customized metrics
If you would like to get information about other decision support modules, please click
below.
below.
 | Strategic alliance planning | |
| Drug development portfolio optimization | |
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