When speaking about new reimbursement models where quality is rewarded, it is essential to have the capability to monitor, measure and act upon clinical data. Most healthcare organisation monitor productivity today, and to change that capability into a more complex situation can be a challenging task. Healthcare executives must decide initially the big questions: What is quality? What is it to the patient and what Key Performance Indicators (KPI) represents that quality. Essentially it is more of a clinical than a technical discussion. Once that is set, the hospital CIO must look at how to monitor progress and quality – preferable in real time.
Big Data analytics capabilities is therefore a key component in a value based healthcare model. When we look at IDC survey data, the current adoption of BDA solutions is homogenous in Western Europe and have "Reporting on quality of care", as the number one implemented usecase. (IDC European Vertical Markets Survey)
The rich and broad healthcare data sets are now leveraged through BDA applications to improve efficiency in operations and clinical decisions (mainly in hospitals) and advance in care personalization by predicting patient conditions progression and developing new specific clinical pathways (especially in other healthcare providers). We are on our way, but Western Europe still lacks enterprise wide adoption of these analytical and clinical reimbursement models.
When BDA is used in a quality driven healthcare organization the following indicators are primarily used in Western European healthcare organizations:
For healthcare executives that want to move into a quality agenda, BDA is a prime technology to consider. Besides technical capabilities, data integration and aggregation, there are also some organizational and clinical implications that needs to be addressed. If they were easy we would already have done it.
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