Workflow Optimisation

Reliable, data-driven gap analysis and a measurable optimisation strategy

Healthcare workflows are systematised processes that coordinate tasks, information, people, processes, resources, and decisions across the healthcare continuum.

Good workflows are critical in complex healthcare environments to ensure quality, safety and efficiency.

Sylvan Tech offers a robust workflow optimisation methodology based on reliable, data-driven gap analysis and a measurable and deliverable optimisation strategy.

Sylvan Tech uses clinician validated machine learning algorithms to leverage workflow improvements

Our Forensic Gap Analysis can be applied to all aspects of healthcare including Clinical, Regulatory, Governance, Operational, Financial, and Patient relevant outcomes

Gap analysis of available, relevant data

Assessment of data quality with robust use of incomplete and inaccurate data

Performed by a team of experienced clinicians and data scientists with domain knowledge

Assessment of suitability for ML scrutiny

Define opportunity for innovation

Identify inherent process deficiencies and potential for innovation

Evaluate potential innovation with evidence based metrics

Prediction of potential workflow outcomes

Illustrate a range of potential digitised workflows with a choice of strategies for each workflow

Mix and match strategies for optimal outcomes with simultaneous assessment of outcomes for all related workflows

Traceable, Transparent, and Reproducible analysis

Prescription of best workflow outcomes

Select an optimal workflow with clear idea of trade-offs and overall system impact

Define an envelope of acceptable range of outcomes

Role specific reports

Monitor performance real time for defined outcomes