Oct 24
2019
DataOps Can Help Alleviate Healthcare Organizations Data Ills
By Dan Potter, vice president of product marketing, Attunity, a division of Qlik.
Data is the lifeblood of every hospital and healthcare organization. Without it, doctors can’t access updated patient records for proper treatment; billing departments are unable to correctly process insurance claims; and research teams are limited in their ability to uncover new findings. Today there are issues with both data availability and access to the right information, for all users in a governed HIPAA compliant structure, that keeps healthcare organizations from effectively scaling the use of data to impact lives.
Data analytics is often discussed as a key element because of its potential to uncover insights that improve operations while also increasing care quality and efficiency. In today’s world of tight budgets and rising costs, its essential that organizations maximize staff time allocated to care and minimize costs. However, even if a hospital provides access to all its data, a lack of data literacy – an individual’s knowledge on how to use and analyze data – could limit data’s effectiveness towards improving care and operations.
Healthcare organizations must find a data cure that will address both data challenges: access to and use of information. The emerging methodology known as DataOps addresses both issues.
DataOps is a new approach to agile data integration that looks at the challenge from a holistic perspective of people, process and technology. It focuses on improved collaboration and automation of data flows across an organization. When done correctly, it results in an overall data set of processes that help the organization manage and use their data in real time to transform patience care and experience.
Fighting the Data Access Challenge
As the amount of data increases daily, one of the biggest issues is how to capture and manage it all efficiently. For healthcare this includes allowing appropriate real time access for all users to that data for analytics – while keeping it protected in accordance with HIPAA. One of the first steps is implementing modern data architectures that can handle the growing data volume. Open architectures based on hybrid and multi-cloud provide the greatest efficiency along with agility to improve patient care and increase operational efficiencies.