Turning complex maternity challenges into workable solutions
MS Intelligence undertakes projects across maternity service design, digital health, governance, workforce, implementation and evaluation.
Selected projects and expertise
01
Maternity pathway redesign
02
Digital screening and clinical workflow development
03
REDCap database and reporting solutions
04
Models of care
05
Workforce redesign
06
Metrics and maternity performance intelligence
07
Clinical governance and procedure development
08
Quality improvement and implementation projects
01
Maternity pathway redesign
A maternity service needs to improve access, reduce duplication or create a more coordinated journey from referral through to ongoing care.
How MS Intelligence can help:
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Map the current consumer and clinical journey
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Identify gaps, duplication, delays and safety risks
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Engage clinical, operational and consumer stakeholders
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Design future-state workflows and pathways
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Define roles, responsibilities and escalation points
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Develop implementation and evaluation plans
Potential outcomes
A clearer, safer and more efficient pathway that improves coordination for consumers, clinicians and services.
02
Digital screening and clinical workflow development
A maternity service needs to improve access, reduce duplication or create a more coordinated journey from referral through to ongoing care.
How MS Intelligence can help:
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Define clinical and operational requirements
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Translate validated screening tools into digital workflows
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Develop decision logic, alerts and escalation processes
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Design consumer and clinician interfaces
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Establish consent, privacy and information-management requirements
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Coordinate testing, training and implementation
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Develop reporting and quality-assurance processes
Potential outcomes
A clinically credible digital workflow that supports earlier identification, consistent decision-making and more coordinated care.
03
REDCap database and reporting solutions
Clinical and project information is fragmented across spreadsheets, forms and disconnected systems, limiting visibility and reliable reporting.
How MS Intelligence can help:
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Design fit-for-purpose REDCap project architecture
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Develop instruments, field definitions and data dictionaries
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Build calculations, branching logic and automated workflows
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Define user roles and access requirements
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Create data-quality and reconciliation processes
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Develop operational, clinical and executive reports
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Support testing, implementation and ongoing improvement
Potential outcomes
A structured and governed information system that supports clinical workflows, project delivery and meaningful performance reporting.
04
Models of care
An organisation needs to establish, review or expand a maternity model of care.
How MS Intelligence can help:
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Analyse population and service needs
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Review evidence, standards and policy requirements
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Define the model's purpose, scope and target population
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Develop clinical and operational components
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Clarify workforce, governance and referral arrangements
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Identify implementation requirements and risks
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Establish measures for monitoring and evaluation
Potential outcomes
A clear, evidence-informed model of care that can be understood, implemented and evaluated.
05
Workforce redesign
Existing workforce structures no longer align with service demand, clinical priorities or future models of care. Vacancy, turnover or staff feedback may also indicate problems with attraction, retention, workload or ways of working.
How MS Intelligence can help:
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Analyse current workforce and service requirements
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Examine attraction, vacancy, turnover, retention and staff-experience measures
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Identify the workplace factors influencing why people join, remain or leave
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Map roles, responsibilities and reporting arrangements
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Identify capability and succession risks
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Develop workforce structures and role descriptions
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Redesign workflows and ways of working to improve sustainability and staff experience
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Design rotation, transition or early-career pathways
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Model implementation requirements
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Develop measures for workforce stability and impact
Potential outcomes
A workforce structure and way of working that better support attraction, retention, staff satisfaction, professional development and sustainable maternity care.
06
Metrics and maternity performance intelligence
A maternity service has extensive reports and dashboards but cannot clearly explain why performance differs over time, between teams or across models of care.
How MS Intelligence can help:
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Clarify the questions that leaders, clinicians and operational teams need the data to answer
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Define a balanced set of workforce, operational, clinical, experience and outcome measures
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Link measures across the maternity journey rather than reviewing each indicator in isolation
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Examine trends, cohorts, variation and relationships between measures
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Test assumptions about the factors contributing to performance
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Distinguish useful signals from data-quality problems or normal variation
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Translate findings into practical improvement priorities and measures
Potential outcomes
A clearer view of what is changing, where it is occurring, who is affected and which factors may be contributing, allowing the service to act on evidence rather than assumptions.
07
Clinical governance and procedure development
A service needs stronger governance, clearer accountability or updated clinical procedures.
How MS Intelligence can help:
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Review existing governance and documentation
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Map relevant standards, legislation and professional requirements
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Clarify responsibilities, escalation and assurance mechanisms
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Develop or revise policies, procedures and work instructions
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Align documentation with clinical workflows and models of care
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Create implementation, monitoring and review processes
Potential outcomes
Clearer governance, reduced variation and stronger evidence that identified risks and responsibilities are being managed.
08
Quality improvement and implementation projects
A service knows that change is needed but requires structured support to move from recommendation to implementation.
How MS Intelligence can help:
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Define the problem and desired outcomes
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Establish project scope, governance and measures
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Identify risks, dependencies and implementation barriers
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Coordinate stakeholder engagement and testing
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Develop training, communication and readiness resources
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Support go-live and early implementation
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Evaluate impact and identify further improvements
Potential outcomes
A structured and practical implementation process with clear accountability, measurable outcomes and stronger prospects for sustainability.