Whitepaper
Patient Surveys Without the Agency
How hospitals and hospital groups survey patients, referrers and relatives themselves and analyse down to the ward
What you get
- Why the agency's PDF satisfies the quality-management duty and still triggers no decision
- Four perspectives on one hospital: patients, referrers, relatives, staff, with questionnaire and channel per group
- The three rules for per-ward analysis, agreed up front with quality management and staff representatives
- A worksheet for the agency-versus-in-house calculation, with stated assumptions
- The metric set for the quality meeting: six numbers instead of one mean
- Privacy under Article 9: DPA, DPIA, anonymity and the line to the contact question
- A 90-day plan for one hospital and a checklist of twelve questions
In short
The patient survey an agency delivers once a year as a PDF per hospital satisfies the quality-management guideline and answers none of the questions a head of nursing asks: which ward drags the score down, since when, and what is in the comments? This whitepaper describes how a hospital or group collects four perspectives on one platform, brings the ward into the dataset through the link rather than the questionnaire, analyses per ward with a minimum case count and an aggregation rule, and handles health data under Article 9 GDPR properly. It includes a worksheet for the agency-versus-in-house calculation, the metric set for the quality meeting, three legitimate objections, a 90-day plan and a checklist of twelve questions.
- Who it is for
- Hospitals & care
- Format
- PDF, 11 pages, with worksheets and checklists
Contents 11 chapters
- 01 Why the agency’s PDF ends up in the archive
- 02 Four perspectives on one hospital
- 03 The questionnaire: short, event-based, without structural questions
- 04 The ward as the unit of analysis
- 05 The calculation: agency versus in-house
- 06 Privacy: health data under Article 9
- 07 The metric set for the quality meeting
- 08 Three objections that are legitimate
- 09 The first 90 days: one hospital, one survey
- 10 Checklist: twelve questions before you start
- 11 Where DataLion fits in
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