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Silos on Healthcare: Improving Health Data Interoperability with Technology

The organizational structures are evolving with the integration of larger teams with the distributed workforce from having no ecosystem to catering to a diverse ecosystem. This evolution has been a great contributor to the functional silos in healthcare and inculcated discipline in organizations, but it has also led to the delivery of various multifaceted challenges that are affecting healthcare delivery services. As the market continues to demand faster, more affordable, and better care delivery, healthcare organizational structures are rethinking the significant drivers to improve the care delivery paradigm.

With all innovations in healthcare, incomplete patient information is still common trouble at the point of care. Frequently, there are multiple records and patient information lists that aren’t shared with the providers. For understanding better, patient health data management is still siloed largely even with information available through electronic health records. With health data management and exchange becoming so fluid, there is a broader use for EHRs. The Health Information Technology for Economic and Clinical Health (HITECH) needed to implement systems for the use of EHRs and there was no standardized requirement for EHRs to ensure that the data can be shared amongst various EHRs before it was widely adopted.

The healthcare teams aren’t alone in becoming overwhelmed with the silos in healthcare organizations. But it is important to understand how these data silos in healthcare form so necessary steps can be taken to start breaking these data silos to set up the cultural transformation for more future-oriented business advantage and build competitive strategies.

Forming Data Silos in Healthcare

Data siloes can form naturally in each department and the data is stored for its purpose. These data silos in healthcare are mostly built around the functionalities that have previously not required the need for data sharing. In recent times, healthcare systems are prioritizing improving the efforts of interoperability between aggregated patient data and EHRs for a more clear picture. The necessity in demand EHRs and other healthcare data vendors are following suit to improve interoperability. With assistance from the US government, healthcare organizations are receiving the necessary help in processing the adoption of new healthcare data interoperability standards like Fast Healthcare Interoperability Resources or FHIR which helps to lay the foundation for healthcare information to exchange data.

Healthcare data vendors, payers, providers, and organizations have previously faced challenges due to the traditional systems and struggled with unifying health data records. Now it is time for healthcare organizations to seize the opportunities to build a strong foundation for data interoperability that is consolidated, secure, easily accessible, and transparent with the advancement in technology and integration of artificial intelligence, machine learning, and cloud computing powers, analyzing a large set of data can help to break the data silos in healthcare at affordable costing.

Manifesting the Unifying Power of Healthcare Data Technology

Healthcare organizations are already leveraging the power of advanced technology to implement disparate data for improving patient health outcomes. Healthcare payers have been facing challenges to fight the increasing levels of cybersecurity fraud and wastage of healthcare resources. These organizations must put in the effort to identify and minimize the fraudulence and typically analyze, realize, and investigate the recoverable amount of money that has been lost.

With the recent adoption of healthcare technology, cost containment is reaching a new revolutionary peak. A holistic approach is taking its shape that keeps pre-payment understandings in focus. Despite the traditional challenges for silos in healthcare, the organizational dynamics and rigorous compliance mandates are taking over outdated healthcare data management frameworks and collaborating to create a transparent system that addresses payment and billing-related issues, leading to massive savings and better healthcare delivery services.

Read more on breaking the silos in healthcare

  • Ritesh Patil
  • May 23 2022
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