At Redmoor Health, we are dedicated to helping PCNs understand and manage demand and capacity effectively. Our Understand Demand and Capacity project aims to utilise data analytics to provide insights into patient engagement, service usage, and capacity planning.
Understand Demand & Capacity
Why it's important
Accurately understanding demand and capacity is crucial for efficient practice management and ensuring high-quality patient care. By leveraging data analytics, PCNs can make informed decisions, optimise resource allocation, and improve patient satisfaction.
What the project is about
The Understand Demand and Capacity project focuses on gathering and analysing data from various sources to provide a clear picture of practice capacity and patient demand. This helps in identifying trends, making data-driven decisions, and optimising the use of available resources.
Scope
- Engagement Metrics: Using messages to deflect demand from reception and track engagement metrics.
- Analytics of Online Tasks: Using analytics to understand the NHS top 5 online tasks.
- Data Analytics: Analysing data from telephony, messaging, the NHS App, and online consultations, with a breakdown over the longest possible period.
- Planned Practice Capacity: Planning and optimising practice capacity based on data insights.
- GPAD Data Insights: Analysing GPAD data for insights and configuring the use of the appointment book.
- System Identification: Identifying all systems where useful data can be gathered.
- Data Interpretation: Understanding which data tells the story and how to interpret, analyse, and draw meaningful insights.
- Trend Analysis: Identifying data-driven decisions and following trends.
- Population Health Analytics: Breaking down data analytics of population health to determine areas of higher demand.
- Digital Inclusion Gaps: Using data to inform the practice where gaps in digital inclusion may exist.
- Clinical System Analytics: Analysing clinical system data over a long period (hourly and daily) to generate reports on unused and utilised appointments.
Key components
- Engagement Tracking: Monitoring and analysing patient engagement through various communication channels.
- Task Analysis: Understanding the most commonly used online tasks by patients.
- Comprehensive Data Review: Conducting detailed data analytics of communication and consultation tools.
- Capacity Planning: Developing strategies for effective capacity management based on data insights.
- Appointment Book Configuration: Optimising the configuration and use of the appointment book.
- Systematic Data Collection: Identifying and integrating data from various systems for comprehensive analysis.
- Insight Generation: Interpreting data to generate actionable insights.
- Trend Identification: Tracking and analysing trends to inform practice decisions.
- Health Demand Analysis: Determining high-demand areas through population health data.
- Addressing Digital Gaps: Identifying and addressing gaps in digital inclusion using data.
- Appointment Utilisation: Monitoring and optimising the use of appointments based on data analysis.
Outputs
- Detailed Reports: Comprehensive reports on engagement metrics, task usage, and capacity planning.
- Optimised Processes: Implementing data-driven improvements in practice processes.
- Resource Allocation: Enhancing resource allocation based on demand and capacity insights.
- Improved Patient Access: Enhancing patient access to services through optimised appointment management and digital inclusion.
Impact
- Informed Decisions: Making informed decisions based on detailed data analysis.
- Efficient Resource Use: Optimising the use of resources to meet patient demand effectively.
- Enhanced Patient Care: Improving patient care and satisfaction through better access and engagement.
- Reduced Workload: Reducing the workload on staff by streamlining processes and using data-driven strategies.
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