The importance of healthcare data analytics
Care in the era of big data
Care in the era of big data
Healthcare data analytics overview
The healthcare industry is undergoing many transformative changes, such as implementing new electronic health record (EHR) systems and processes, and the pace of those changes is likely going to increase. Older approaches to care are quickly being replaced and healthcare organizations will need more effective clinical data management to take advantage of new, potentially transformative trends in technology and analytics.
Some of the trends emerging from efforts to incorporate big data in healthcare include:
Simplifying collection and organization of healthcare data is a promising first step for most healthcare organizations. But having tools uncover the most useful data in a vast collection of information will be key for organizations to get the most value from big data in healthcare. Healthcare data analytics help organizations uncover vital insights in their data that could help them identify opportunities to provide more value, efficacy and better-quality care at an affordable cost.
Responding to the revolution in healthcare
The right response to healthcare’s digital transformation is an informed approach. The first step begins by leveraging the best tools available. In general, artificial intelligence (AI) and other automation tools – aim to enhance and amplify the work of professionals. They enable these professionals to gain new insights, accelerate discoveries and amplify human knowledge.
AI and machine learning platforms are among those being considered by leading organizations given their ability to reason, deduce and “understand” the interactions taking place with their users. These systems are capable of absorbing tremendous amounts of data – both structured and unstructured—and then offer hypotheses for the user to consider, along with a confidence level for every insight and answer.
From there, healthcare professionals continue the process. Armed with the results, healthcare providers, health and human services professionals and researchers are more easily able to identify the connections, correlations and patterns to the puzzles they are working to solve.
Predictive analytics produce value
To convert healthcare data into actionable insights, organizations will need focused information regarding their organization’s true costs, the quality of the service they provide and the actual relevancy of that service.
That information could also help organizations pursue positive trends like:
Discoveries from actionable insights could be studied continuously and used to increase the value of an organization’s work.
Motivate to participate
IBM Watson Health™ is attempting to help identify treatment options for patients with specific genetic mutations using genomic data and other healthcare analytics. This type of clinical data management could help move biomedical research forward.
Through a health information exchange or HIE, focused on interoperability, information in EHR, healthcare analytics and other relevant data could flow more easily across a healthcare system and make it easier for healthcare providers to collaborate and spot trends.
IBM Watson Health is creating solutions to enable a smarter, more connected healthcare system that can help assist clinicians to deliver better care and empower people to make better choices. In addition to the company’s investment in health technology research and innovation, IBM healthcare solutions help enable organizations to achieve greater efficiency within their operations; collaborate to help improve performance; and integrate with new partners for a more sustainable, personalized system focused on value.