April 2, 2020

Clinical Intelligence: A Key to Quality Care

Clinical Intelligence, also called clinical data analytics, is a combination of technologies comprising the use of data analysis to enhance healthcare delivery. The data is collected at the time of delivery of care into the information system and then evaluated to regulate the performance indicators, which affect the production of a healthcare organization. The increasing significance of software solutions in insurance claim processing and fraud detection.

The biggest challenge in today’s healthcare environment is the use of clinical data. Everybody knows that the healthcare industry is “behind the times” compared to other industries when it comes to using data to drive meaningful outcomes, largely due to the complexity of healthcare data. However, with rising costs, constant regulatory changes, and ever-increasing competition, healthcare organizations have no choice but to begin tapping into their enormous volume of clinical information to analyze gaps in their care quality, patient safety, cost-effectiveness and efficiency; develop integrated and coordinated care and contracting models; and prove their performance to purchasers and payers1. The use of clinical intelligence can no longer be ignored.

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What and Why

Clinical intelligence (CI) is the knowledge acquisition resulting from collection, evaluation, analysis, and interpretation of clinical data, often times combined with financial, operational and research data, to drive informed medical and operational decisions across the enterprise organization.

In the ever-changing and increasingly demanding field of medicine, providers must be able to make decisions based on clinical and evidence based medicine. In order to do this, proper assessment and utilization of data across the organization is needed2. The variations in the quality of care, after the fact performance improvement, government mandates increasing reporting requirements and the penalties and failure to obtain pay for performance quality incentives due to poor reporting are just some of the more common reasons why CI is so important

It is not that the data isn’t there (in most cases!), healthcare organization have been capturing massive amounts of data for years. However, the data is distributed among a number of siloed systems, locked in paper files, in stand-alone spreadsheets and desktop databases, and some still in three-ring binders. Given the aforementioned reasons, it has become essential for health care organizations to use health information technologies that will allow them to collect, integrate and analyze their data to make better informed clinical decisions.

Barriers to Adoption

Trusted Data:

Standardization:

Governance:

In today’s healthcare environment, organizations are swimming in data yet many lack the technology to use this data as valuable information. As regulations change and the amount of data increases, organizations are turning to clinical intelligence solutions to harness data for precise decision-making to help improve patient outcomes, reduce costs, and ensure their organization’s future.

Source: perficient