Hospital leadership were looking to improve efficiency by reducing time-to-discharge and addressing the likelihood of cross infection.
Nerve™ combined data from multiple systems and applied proprietary machine learning techniques to explore, and explain, the impact of process and physical hospital design on patient outcomes, in terms of length-of-stay and secondary complications.
We investigated five years' of data from across 16 hospitals, including:
- ICD-9 diagnosis codes for all patients
- Surgery procedure CPT codes
- Patient suite/ward assignments
- Staff rotas, surgery assignments and surgery roles
- Staff HR data (including years of experience, education level, compensation structure, contractor / agency staff or permanent, etc.)
- Time-stamped patient movement data
- Discharge bed occupancy over time
Our analytics demonstrated to hospital leadership that equipment and hospital design was important in improving both quality patient outcomes and in reducing overall length of stay.
Specifically, Nerve™ demonstrated how leadership could reduce time-to-discharge through better hospital design e.g. installing surgical team common rooms and a larger Intensive Care Unit (ICU) provision, rather than standard wards.
We also quantified the positive impact of reconfigurable ‘step-up’ beds versus standard ward beds to reduce bottlenecks and improve time-to-discharge by 10%.