Thursday, June 16, 2016

Benefits of Clinical Analytics in Healthcare

The clinical analytics has become a key factor for the healthcare industry today.

Healthcare analytics not only help the healthcare organizations from the operational front, but also on the strategic front. Such analytics also makes a hospital better equipped to improve allocation of the staff where they are needed the most and also the effective use of available resources.  Healthcare facilities can also depend on such analytics to measure effectiveness of the clinical treatments provided to the patients within the facility. Patient specific data collected could help the organization offer customized and streamlined care plans. Such analysis can help providers deliver better care services leading to improved outcomes and significantly reduced readmission rates.

Healthcare organizations are facing great pressures to reduce costs, offer better care and to be more patient centric. As healthcare systems continue to gather large data sets, including claims data, the value of clinical analytics increases.


Clinical Analytics empowers clinicians and researchers to build cohorts, assess patient-specific outcomes, and make informed clinical predictions. Such solutions also help healthcare organizations follow populations of patients and ultimately improve community health.

Tuesday, June 14, 2016

Benefits of Evidence-based Metrics in Healthcare

The healthcare industry standardsare changing rapidly. Healthcare systems are struggling with rising costs and compromised quality of care despite of the workflows, well-trained clinicians and practices in place.

Healthcare facilities have a range of policies and practices in place to attack fraud and abuse, reduce medical errors, etc.

But when it comes to attaining the maximum benefits in terms of improving care quality and patient satisfaction, reducing costs and managing risks with efficiency, switching to evidence-based healthcare solutions is critical.

Among the many benefits achieved by adapting evidence-based healthcare solutions, feware as follows:


These solutions help healthcare facilities effectively reduce unnecessary healthcare costs by taking into consideration financial gains and risks. They can also help reduce the expenses of the care rendered to the patients by allotting correct resources when and where they are needed the most. With evidence-based practices the chances of readmissions, extended LoS, or emergency room visits can be reduced significantly. Such evidence-based solutions can not only help predict patients with high risk of infections, but also impending or existing health risks in a community.

Benefits of Big Data Analytics in Healthcare

Big data analytics in healthcare is rapidly evolving helping provide insights into very large data sets and improving outcomes while reducing costs. Not only does such analytics help predict diseases, but also improves care provided resulting in reduced suffering and saved lives.

One of the significant applications of big data analytics or predictive analytics is to prevent healthcare fraud, waste and abuse. Such analytics help identify, predict, and minimize fraud by implementing advanced analytic systems for fraud detection.Analyzing large numbers of claim requests rapidly is a crucial step to reduce fraud, waste and abuse.


Another crucial benefit of big data analytics is being able to identify and pin point high-risk patients. This helps ensure that the most effective intervention is applied to the specific patient – and that it’s provided at the appropriate time. Big data analytics also helps analyze disease patterns and record disease outbreaks in the populations. Such data can help deal with large populations where it becomes important to know who can potentially benefit from interventions as a way to improve community health and lower costs while saving lives.