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B4:数据和分析的高级应用.pdf

上传人: 彩旗 编号:1158728 2026-03-02 50页 7.05MB

1、Contact details:Advanced uses of data and analytics:SenseMakerRosanna Hunt Contact details: A taster of the methodology(imagery,stories,triads and dyads)Deep dive into one case study When to use SenseMaker An invitation.What does this presentation cover?Contact details:Take a moment to reflect.1.Ima

2、gine you are a healthcare professional who has had a recent experience at work,particularly related to patient care or safe workingContact details:2.What image would fit that experience the best?Contact details:3.Thinking about that specific experience,what did it relate to?Individual staffPatient a

3、nd familyThe wider teamWhere would you put your dot on this triad?N/AContact details:4.How much pressure was on you at the time of the experience?Low pressureHigh pressureWhere would you put your dot on this dyad?Contact details:4.How did this experience make you feel?Which box would you check?Stron

4、gly positivePositiveNeutralNegativeStrongly negativeContact details:Learning from large numbers of narratives allows us to:Explore the conditions for enabling positive experiences of patient care and safe working Make statistical comparisons between different groups and contexts Use the narratives t

5、o collectively define the future we all want to work towardsContact details:We can explore the differences between positive and negative experiencesContact details:Positive experiences of safe working under high pressureWe can drill down into stories that show the way to the future we want Contact d

6、etails:Time to vote!123An agile approach to the development of policy and guidance through Wellbeing Guardians(Non-Executive Directors on hospital Boards)experiences of staff wellbeing in UK NHS hospitals post-CovidBuilding a world-class approach to patient safety at a childrens hospital in the UKLa

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1. **SenseMaker方法论**:通过叙事(故事)、三元组(个体/患者/团队)、二元组(压力/情感)收集微观叙事,分析大规模数据以探索积极体验条件,支持政策制定(如NHS员工福祉、国际护士留任)。 2. **AI与数据应用**:自然语言处理(NLP)分析患者反馈(节省90%处理时间)、生成出院摘要;数字协作空间整合临床数据,支持实时质量改进(如跌倒监测)。 3. **仪表盘 adoption关键**:需技术设计(数据准确性)与社会机制(团队支持、信任、领导力)结合,否则难以有效推动质量改进。
**如何提升医护体验?** **AI如何助力医疗改进?** **数据如何驱动安全?**
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