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Is Database Management the Biggest Obstacle in Healthcare?


An invaluable asset for most-if not all-organizations, data is fast becoming a critical element for nearly every industry. The global tide of digitization has ushered in significant changes and transformations across many sectors, and healthcare isn't an exception. Presently, as healthcare providers become more dependent on data, the primary focus for many is to figure out how to simplify, automate, analyze, and optimize its use.

Managing, harnessing, and integrating a considerable volume of data can help organizations enhance their operational performance. However, digitization has resulted in data's continuous growth in value, velocity, and volume, making database management one of the biggest obstacles in the industry. And it also makes the services of a custom healthcare software development company indispensable, especially when it comes to the creation of applications to process and manage significant amounts of data.

Key challenges in database management

While data undoubtedly brings many unique transformations, it's not without its fair share of challenges. The reality is that its influx can strain healthcare providers in managing data efficiently while ensuring security, interoperability, and integrity when complying with corresponding standards, regulations, and policies. To that end, here are some of the difficulties that healthcare professionals face in database management.

  • Fragmented information. Data can come out as non-structured or structured from various sources and formats and can be used for different purposes. Data aggregation and collection communities are just as fragmented, making integration and extraction a lot more challenging. Patient networks, payers, and healthcare providers all contribute to the collection of data. However, keeping them unified isn't easy. After all, it isn't uncommon for issues like data duplication to arise, resulting in incomplete or inaccurate member profiles and little insight regarding the well-being of patients.
  • Changes to quality and data. Data is ever-changing, especially in healthcare. Patients can undergo various treatments and tests in a year, resulting in medications and procedures evolving over time. Moreover, new modalities, such as telehealth, can lead to more data types. Since data supports an information system's operations, ensuring its integrity becomes vital. Dirty data-non-standard, duplicated, invalid, or incomplete data-can cause mistakes that may directly impact the well-being of patients. Additionally, poor data quality may inhibit medical development and research activities.
  • Compromised security. Security is a primary concern for any healthcare organization. Every repository movement holds the risk of data being compromised, which is why data security has become a priority for many these days. Any sensitive data breach can carry criminal and civil penalties that could ruin a healthcare provider. For this reason, organizations need to step up their cybersecurity efforts to ensure that no information can be hacked or leaked to unauthorized personnel.


While the healthcare sector undoubtedly requires data, its management and collection pose many challenges. Not only is the process time-consuming, but it can be risky if done incorrectly. Database management needs a smarter and more strategic approach than it's given credit for, which is why it's usually a better idea to have custom software developed for the task.


Photo by Hush Naidoo Jade Photography on Unsplash


Published Wednesday, September 21, 2022 2:28 PM by David Marshall
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