Problems with data-driven healthcare industry

①Capturing data is one of the biggest obstacles for healthcare organizations due to the lack of an effective data governance process. In order to be used more effectively, data must be clean, accurate, and formatted correctly so that it can be used across a variety of healthcare systems;

② Today, most patient records are kept in centralized databases for quick and easy access, but the real problem arises when this information needs to be ****enjoyed with outside healthcare professionals;

③ For most healthcare providers, data security is the number one issue that is frequently hacked and breached and needs to be addressed on an ongoing basis;

4) the healthcare industry has to be very careful when dealing with important and highly sensitive data or even patient data. Not only can leaking details be costly for healthcare companies, but it is also unethical to disclose this information without prior authorization.

Despite the many benefits of data analytics, healthcare organizations need to ensure that they are using their data properly. Key items to look out for are providing the relevant staff with the resources to access the data so that they can make data-driven decisions independently, and ensuring that the data captured is as real-time as possible. Big data and data analytics is so effective, it just needs people with experience of how to use it behind the wheel of control.

Over the next few years, the output of health data is expected to grow rapidly. In fact, the paradigm of healthcare reimbursement is changing. Heavy utilization and paying for success are becoming important new factors in today's healthcare environment. While profit is not and should not be a primary consideration, it is critical for healthcare organizations to acquire the resources, infrastructure and technology to effectively utilize big data or risk losing revenue and potentially huge amounts of revenue.