Healthcare

Ensuring patients receive the service they expect for all their healthcare requirements is a complex task, requiring the management of numerous resources in an environment where difficult targets have to be met in a cost effective manner.

The inter-dependencies between the various stakeholders and multitude of potential patient pathways, mean that solving a problem in one area can just as easily cause difficulties in another. It is increasingly difficult to predict let alone quantify, the potential impact of critical decision making in the planning process.

Lanner offers a combination of WITNESS simulation capability and significant sector experience to aid the healthcare planner. Easily configurable to the individual’s own environment, information and needs, WITNESS models allow complex processes to be mapped out and dynamically modelled. They provide the means to evaluate the impact on key performance indicators of different ‘what-if’ scenarios, thus ensuring that the right decision is made first time.

Many of the world’s healthcare organisations rely on WITNESS to help improve their processes, including Imperial College Healthcare NHS Trust (UK), Sheffield Teaching Hospitals NHS Trust (UK), Portsmouth Hospitals NHS Trust (UK) , DWP (UK), RUSH University Medical Center in Chicago (IL, USA), Washington University Medical Center in St Louis (MO, USA), Teaching Hospital Estaing in Clermont-Ferrand (France),Teaching Hospital of Bordeaux (France) and Sarasota Memorial Hospital (USA).

Applicable across any healthcare process, the examples below give a flavour of the type of solution Lanner can offer.

• Prediction of the performance of proposed new build projects
• Testing scenarios for significant service provision reorganisation
• Evaluation of different capital investment options to assess relative benefit
• Development of best practices to ensure achievement of targets
• Departmental equipment and resource utilisation improvement

These organisations also report improved confidence in decision making, better communication of recommendations and team integration, and faster buy-in to proposed changes.