Background
This page documents details of standard reports, based on study leave data in NDW, that could be commonly generated for all regions.
Currently East Midlands region use the accent leave manager and generate their own reports based on archived intrepid leave manager data, Accent leave manager from NDW and TIS. This is an Excel based dashboard
South region also generate some reports on an adhoc basis using the NDW.
Challenges to get standard reports for all regions
The way costs are calculated is different in the 2 regions that use accent leave manager
2. Different methods of approval of study leave
3. Only 2 regions currently use this.
4. NHS trusts need to engage in consistent reporting
Working Group
Kavitha.Shankar Who’s involved?
Reporting Requirements
No. | Report Name/Summary | Detailed Description | Report Type - Dynamic | Priority (L/M/H) | Target Users/ Audience/ Nations | Aggregate/ Row-level data | Columns to be included | Filters/ Sortable by | Comments |
1 | Expenses associated with Study leave application - Requested and/or Paid | Total cost of any study leave application with breakdown of
| Dynamic | H | Internal - Local HEE offices, Regions, Finance, Senior management | Mostly Aggregate data |
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2 | Spend on protected characteristics | Total cost of study leave applications made wrt protected characteristics | Dynamic | L | Internal - Local HEE offices, Regions, Finance, Senior management | Mostly Aggregate data |
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3 | Pending Approvals | For each region / Trust | Dynamic | M | Internal - Local HEE offices admin team | Row-level data |
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4 | Length of Approval | Average days for approval of a request per programme / Trust / Region | Dynamic | M | Internal - HEE local office, Finance teams | Aggregate Data |
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5 | Rejected Applications | Number of rejected applications by programme / Region / Specialty etc. | Dynamic | L | Internal - Local HEE Admin team, Senior management | Aggregate Data. Row level data may be needed to further investigation where required |
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6 | Reasons for rejection of applications | Reasons why study leave applications were rejected. By programme / region / Specialty | Dynamic | L | Internal - Local HEE Admin team, Senior management | Aggregate Data. Row level data may be needed to further investigation where required |
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7 | Approver's list | List of Approvers in the Approval chain - Names / role/ trust. These could be changing as people move from one role/trust to another. This list required maintaining
| Dynamic | L | Internal & External | Row-level data |
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8 | Entitlement of Study leave | Number of days a doctor-in-training(DiT) can take study leave. Maintained as some DiT are not full time.
| Static | L | Internal - Local HEE offices | Row-level data |
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9 | List of approved courses | List of approved courses for every programme / specialty.
| Dynamic | L | Internal - Local HEE Offices | Row-level data |
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| Challenge - Trusts do not want trainees to feel restricted to approved list so don’t want to maintain this. A work around could be calling these popular courses |
Dataset - List of Fields in NDW Accent.DataRepository
Kavitha.Shankar Could you extract this into a confluence table and an additional column for comments please?
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