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Improving Patient Welfare with Health Care Analytics

When used appropriately and effectively, data analytics can vastly improve the care of patients within the healthcare system, and as such, should be invested in by health and welfare teams the world over.

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Improving Patient Welfare with Health Care Analytics

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  1. Improving Patient Welfare with Health Care Analytics

  2. When used appropriately and effectively, data analytics can vastly improve the care of patients within the healthcare system, and as such, should be invested in by health and welfare teams the world over. Referring to the practice of gathering and analyzing massive amounts of data to draw significant insights and conclusions from the information contained within it, data analytics has come a long way in recent years, and is now aided by new software and advanced technology that makes the process more efficient.

  3. The healthcare system as a whole has become increasingly reliant on data, and data analytics can help identify and resolve many issues, such as the waste of resources, help to track the performance of practitioners, and even monitor and identify individuals within the wider population who might be at risk of contracting or inheriting certain, chronic diseases. Armed with all of this information and valuable insights, over stretched and underperforming healthcare systems can streamline the allocation of their resources, helping to increase revenue, the health of the population and of course, patient care and wellbeing.

  4. Below are three ways that data analytics are helping to improve the healthcare system and patient welfare: • Practitioner performance can be better evaluated Healthcare analytics can provide a new and effective method of evaluating how a healthcare practitioner is performing, and with ongoing evaluations coupled with health data related to patient wellness, it can be used to help provide ongoing feedback.

  5. Enabling overall outcomes to determine payment Measuring performance and valuing best practices is closely linked to cost accounting, since outcome and value-based payment initiatives provide an incentive for improving performances in healthcare. So, rather than having the focus be upon reimbursing individuals on a case-by-case basis, the overall outcome would determine the payment. Helping to identify patterns and trends that can lead to a clearer, more rounded understanding of the health of a population, ongoing healthcare analytics and a system of interconnected electronic health records accessible to physicians, can help reduce unnecessary care with its provision of detailed information.

  6. The healthcare system is also better able to reduce waste and maximize efficiency by allocating personnel and resources more effectively, thanks to the trends in population outcomes identified by prescriptive analytics. • Risk prediction Treating chronic diseases is one of the most significant costs for the healthcare industry as a whole, and when applied on a mass scale, the costs associated with this can be reduced with predictive analytics. It works by predicting those patients who may be at higher risk of disease, and instigating early intervention before any problems begin to develop.

  7. Data related to a variety of factors, such as medical history, demographic or socio-economic profile and comorbidities, is aggregated and the metrics can be modeled to predict the risk of chronic disease in patients. While improving patient welfare is of course in the best interests of the patients themselves, entire healthcare systems can benefit hugely from data analytics, and thankfully, there are plenty of reputable life sciences organizations out there who can help healthcare management teams manage their resources better, save money and provide patients with a higher quality of care.

  8. Agile Scientific is a life sciences organization that brings decades of industry knowledge, expertise, processes, best practices, and systems to companies. Agile Scientific’s clinical services function to accelerate all facets of drug development, ensure compliance at a global level and optimize pipeline value / ROI. Agile Scientific Group LLC is fortunate to partner with smaller virtual organizations and Fortune 500 Life Sciences companies alike. We have extensive experience providing focused, pragmatic clinical solutions to our sponsor Life Science organizations and CRO’s across all areas of Drug Safety, Regulatory Affairs, HEOR / Pharmacoepidemiology, Quality Assurance.

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