Patient Predictive Data Warehouse – A Must-Have for Effective Functioning of Healthcare Systems

The healthcare industry is showing a tremendous shift towards the adoption of predictive analytics to serve an array of purposes. Experts view it as a major pre-requisite for the management of community health. Most of the hospitals employ such statistical tools to pinpoint the patients at a high-risk of readmissions. Whereas, some use it as a patient predictive data warehouse to identify as well as intervene the patients with severe and chronic illnesses.

Although, the process of using predictive analytics software may not be new for the healthcare industry, it may come with several challenges specially with gathering data. This calls fora requirement for well-structured patient predictive data warehouse. Hospitals and healthcare organizations can reap the following key benefits –

Ensure Patient Stratification

Patient stratification is a distinctive measure that integrates the chronic conditions, cost trends as well as social determinants of risk, together to identify the individuals who can benefit from the proactive programs of care management. It can further expand the capability to identify the candidates who are critical for the programs of care management.

Helps In Predicting Hospital Acquired Infection

Almost every healthcare system is facing the similar dual challenges of wringing out their expenses and matching up with the regulatory challenges imposed by the government over HAI (Hospital Acquired Infection). Previously, the implementation of traditional EDW (Enterprise Data Warehouse) by medical centers resulted in poor outcomes. However, with patient predictive data warehouse, EHR software gets more agile resulting in better outcomes.

This data can help you predict hospital acquired infections with accuracy thereby avoiding any kind of penalties. It is undoubtedly a cost-effective measure that is beneficial for both the patients as well as healthcare organizations.

Promotes Community Health Solution

When it comes to addressing the major challenges of community health solution, big data warehouse plays a vital role in predicting patients who are at a highest risk. It is a faster, smarter as well as more actionable approach to ensure community health welfare.This can further provide granular insights driving improved outcomes for both the hospital as well as patients.

Such predictions can also turn out to be valuable in the process of policy making, spreading education, interventions as well as care coordination for community health.

Summary: Having a patient predictive data warehouse can help the healthcare organizations store the past and current clinical information for every patient. It ensures better interpretations and predictions of hospital-acquired infections, community health and patient stratification.