According to GlobeNewswire, the global healthcare data storage market is expected to reach $6.12 billion by 2027. However, a modern healthcare organization still finds it highly challenging to securely store and manage vast amounts of data flowing from medical systems. This modern landscape urges providers to turn toward innovative medical software architectures to solve persistent healthcare data storage challenges. At this point, discovering the most appropriate methods for data storage in healthcare is something many leading professionals have in mind.
Considering these market insights, let us explore the core nature of healthcare information, determine its operational significance, and discover different storage options available. To understand whether your facility requires on-premise, public cloud, or hybrid architectures, it is vital to evaluate each layout from various operational perspectives. This piece offers sufficient evidence to help you make the best choice regarding storage and management methods.
Are you ready to build a resilient architecture for your enterprise health data? Contact SPsoft to consult with our specialized engineers and design a fully compliant, future-proof healthcare data storage solution built for long-term scalability!
Table of Contents
What is Healthcare Data?
When understanding whether modern networks are heavily concerned with managing their data assets, one of the best tools is to analyze the specialized data analytics market.
The baseline numbers indicate that the market is rising rapidly. It means that various tools for handling expanding information repositories and advanced healthcare data storage solutions are in great demand. This supports the idea that organizations take their data core seriously.
But what exactly constitutes healthcare data? In short, this encompasses any medical data or clinical information related to various healthcare conditions, causes of mortality, and overall quality of life. Often, this information correlates around different clinical, environmental, behavioral, and socioeconomic metrics. In addition, more and more professionals witness Big Data analytics being systematically introduced into daily health information management.
Common Types of Healthcare Data
To illustrate the diverse types of data processed across the modern healthcare industry, one should explore its most common varieties:
- Electronic Health Records (EHRs). Medical facilities deploy electronic health records to have a wide amount of data available in one single place. These are digital versions of patient data like medical histories, clinical status updates, and diagnostic test results.
- Health Surveys. This covers administrative and clinical data collected and evaluated by public health groups to make informed decisions on regional health matters.
- Clinical Trials Data. This unique data type is obtained from specific clinical groups exposed to targeted medical interventions, used to assess health outcomes and confirm treatment safety.
- Claims and Billing Records. This includes all the financial structured data, insurance codes, and transaction logs generated between healthcare providers and insurance carriers.
- Patient Registries. Specialized databases containing secondary health records linked to a distinct group of patients sharing similar health conditions or diagnoses.
- Picture Archiving and Communication System (PACS). A massive repository for complex unstructured data related to medical imaging. Generated by advanced diagnostic equipment like MRI and CT scanners, PACS is a critical storage platform used to capture, store, and manage medical images.
These varieties are vital for selecting the best storage and management frameworks. The digitization of medicine means that networks must deploy a robust storage infrastructure to preserve information with absolute data accuracy. This points out the immense significance of efficient healthcare data management.
Why Does Health Data Management and Storage Matter?
First and foremost, one of the key factors pointing toward the significance of this phenomenon originates from the clear direction of the global healthcare data storage market.
The expanding volume of data shows that many healthcare providers are actively reimagining their legacy architectures. They seek resilient storage systems to handle growing streams of health information. Appealing to software development companies with practical experience in the medical space is a direct response to these data storage challenges.
For instance, if you are looking to develop a custom mHealth app, you will face the challenge of securely processing all the health data streaming from the app’s users. Thus, the better you can handle your healthcare data management, the more long-term value your product will deliver.
What Does Healthcare Data Storage bring to the Table?
From a narrower technical perspective, evaluating your storage infrastructure helps define the operational capabilities it grants to modern medicine:
- Data Growth Management. The faster a medical network scales, the larger the data volume it needs to manage. Deploying scalable data storage systems is essential for successful enterprise digitization. You require an elastic storage capacity that supports your future expansion.
- Data Access Control. All parties involved in improving patient outcomes require proper data accessibility models. How is data used in modern medicine? It drives everything from data processing in clinical trials to point-of-care diagnostics. As a result, your chosen storage solution directly influences how patient data will be utilized and shared.
- Regulatory Compliance. Following the federal Healthcare Portability and Accountability Act (HIPAA), all patient metrics must be guarded as Protected Health Information (PHI). This sensitive data requires top-grade data encryption and total data protection keys.
- Driving Clinical Innovation. Having an optimized data storage solution is all about unlocking the power of innovation. With advanced Big Data analytics use cases emerging rapidly, organizations look toward cognitive computing and machine learning. These tools evaluate a massive amount of data to yield insights that boost patient care outcomes, helping providers store healthcare data in a way that catalyzes discovery.
Knowing what healthcare data is and why it matters lets us proceed to the three primary storage options used across the industry.
On-Premise Data Storage
In a nutshell, on-premise healthcare data storage entails that all medical data is physically housed inside an on-site corporate data center. Currently, this approach remains a major player across the enterprise healthcare data management market.
Benefits
Harvard Business Review indicates the rising importance of cloud computing in healthcare, correlating the technology to the recent events linked to COVID-19. This drives companies toward cloud-based data storage options. However, while modern cloud storage continues to gain traction, on-premise hardware remains a foundational choice for large hospital networks. That is because it offers several distinct advantages:
- Absolute Data Control. Storing records locally grants total ownership over how a facility stores, processes, and secures its sensitive data, keeping the management internal.
- Air-Gapped Data Security. Running a localized data center means you can ensure data protection without routing files through the public internet. This local architecture keeps protected health information safer from external cyberattacks and data breaches.
- Guaranteed System Uptime. Local storage systems in healthcare operate independently of external internet service providers. This allows clinicians to store data and retrieve charts instantly without fear of network blackouts during critical surgeries.
These benefits suggest that on-premise data storage is about control, security, and stability. When working with sensitive patient information, it is vital to all your tools to help secure and protect it from leaking outside the organization.
Drawbacks
However, maintaining total localized control over your storage platform comes at a massive institutional price:
- Catastrophic Capital Costs. Building an on-site data center is incredibly expensive. You must secure physical space, purchase complex networking hardware and servers, and maintain an expensive, round-the-clock IT engineering staff. Besides, there is always an additional cost of data center downtime.
- Escalating Operating Costs. Running a local system means paying massive monthly bills for electricity, environmental cooling, constant hardware upgrades, and a redundant physical disaster recovery plan. This evidence dictates the cost of building and running a data center can range from $10 million to $25 million.
- Severe Scalability Issues. Expanding an on-premise storage infrastructure is slow and rigid. If you run out of storage space, you cannot simply purchase a patch. Instead, you must buy more physical servers, manage installation latency, and risk system downtime during upgrades.
Such drawbacks support the idea that an on-premise data storage option comes at a great price. If you want to control your data, secure patient information, and have reliable system infrastructure, be ready to pay a hefty sum.
Public Cloud Data Storage
If local hardware is too restrictive, the next logical step is to utilize cloud data storage managed by an enterprise vendor. Thus, the market for cloud storage in healthcare is expanding rapidly.
Forbes suggests the post-COVID healthcare segment pursues an increasing reliance on cloud computing due to its effectiveness. Modern networks utilize cloud data storage for healthcare to offer better data analytics and improve the digital patient experience. Leading cloud storage providers like AWS, Microsoft Azure, and Google Cloud Platform are fully equipped to deliver the elastic storage solutions for healthcare that contemporary clinics require.
Benefits
Transitioning your infrastructure to a certified cloud storage provider yields several operational benefits:
- Drastically Lower Expenditures. Deploying cloud data repositories removes the need to build a physical data center. If your data volume expands, you simply purchase additional object storage space instead of buying physical hardware.
- Highly Flexible Pricing Models. Most providers operate on a pay-per-use model, making cloud data storage highly cost-effective. This allows hospitals to scale down expenses if patient volume fluctuates. It costs about $0.023 per Gigabyte of stored information in the public cloud. Forbes suggests a single patient generates about 80 Megabytes of data annually. Therefore, it makes sense to pay for data storage less if a hospital or healthcare organization offers services to thousands of patients.
- Automated Scaling Features. The cloud storage platform monitors data consumption automatically, expanding your available storage capacity on demand. This brings true data automation to healthcare data management.
- Enhanced Data Accessibility. Cloud data storage in healthcare allows scattered clinicians, labs, and pharmacies to access required patient data simultaneously. This makes diagnostic coordination much faster.
At this point, the public cloud is a low-cost and easy-to-scale option. You can grant all parties access through an organization and outside it.
Drawbacks
Despite its agility, moving sensitive medical data entirely to a public cloud introduces several clear concerns:
- Loss of Infrastructure Control. When you place your data in the cloud, you transfer the responsibility of managing, maintaining, and securing the physical server architecture to a third-party vendor.
- Data Privacy and Security Risks. Involving external vendors in your pipeline expands your vulnerability. Both your organization and your cloud storage provider must strictly coordinate to maintain data privacy and prevent unauthorized access. For instance, HIPAA compliance will affect you and your vendor. So, having more parties involved in data management means a greater chance of potential data breaches.
- Outage and Downtime Concerns. Relying entirely on the internet leaves your clinic vulnerable to cloud provider outages. High-profile blackouts have demonstrated how susceptible to failure a centralized public cloud can be when a hospital needs real-time access to records. An outage at AWS and an outage at Google Cloud showed how susceptible to failure the public cloud storage system could be.
While the public cloud option has distinct advantages, it comes with data control, security, and downtime concerns. After the outages, cloud storage providers rechecked their infrastructure’s vulnerability to them. As a result, one can expect new iterations of cloud technology to be less susceptible to outages shortly.
Hybrid Cloud Data Storage
A hybrid data storage model takes the security advantages of on-premise servers and unifies them with the scalability of public cloud data. This composite approach aims to solve the core healthcare data storage challenges that neither standalone model can tackle completely.
Benefits
A hybrid storage deployment allows an organization to orchestrate its processes across separate environments, delivering unique advantages:
- Uncompromised Data Privacy and Security. The facility can keep its most sensitive data, such as identifiable patient records, safely locked inside an on-premise server. Meanwhile, it can leverage cloud data for less restricted operations.
- Elastic, Cost-Effective Scalability. When local servers face a surge in unstructured data, the system can execute a “cloud burst.” In this case, it utilizes external cloud-based storage to process the data surge without requiring local hardware upgrades.
- Resilient Data Backup and Recovery. Hybrid deployments combine local safety with automated cloud replication. This ensures that if a physical disaster occurs on-site, a complete data backup is safely preserved in the cloud to prevent data loss.
- Multi-Method Data Processing. Such an architecture grants health data managers the freedom to choose exactly where a specific data type should live. This helps balance cost and performance across the organization.
These benefits put a hybrid cloud solution on the healthcare data storage methods map.
Drawbacks
While highly effective, implementing a hybrid data storage network introduces two primary friction points:
- Complex Data Portability. Managing seamless, automated data portability and synchronization between on-premise databases and public cloud spaces requires highly sophisticated mapping logic.
- High Implementation Barriers. Setting up a hybrid environment requires specialized technical expertise. To unlock the full potential of this layout, organizations must typically partner with experienced solutions for healthcare engineering vendors.
The drawbacks above show that getting a hybrid cloud data storage solution requires some third-party input. Yet, in most cases, it is worth it.
Choosing the Best Healthcare Data Storage Option
Healthcare data storage comes in different shapes and sizes. Every independent method has its distinct pros and cons. Your ideal choice depends on the specific types of data your software will process and the scale of the services you plan to offer.
If your facility prioritizes complete data control and isolated security above all else, an on-premise data center remains your foundational choice. If you require rapid deployment and low capital expenditure, public cloud data storage and management fits your model best. For organizations seeking a balanced combination of absolute security for sensitive data and elastic scalability for unstructured data, a hybrid cloud is the best option.
Ultimately, partnering with a trusted software engineering vendor is the most effective path to design a secure, compliant, and cost-effective data storage and retrieval system that elevates your standard of care.
Are you considering future-proofing your enterprise data infrastructure? Message SPsoft’s team to receive a comprehensive technical audit and discover how our custom storage strategies can help you eliminate operational inefficiency!
FAQ
What is the simple definition of healthcare data storage?
Healthcare data storage refers to the specialized technical methods, software platforms, and hardware infrastructures used to securely house, organize, and preserve healthcare data. This covers managing a wide amount of data ranging from structured billing records and electronic health records to massive, unstructured files like diagnostic medical images. Implementing a robust storage solution is essential to ensure that sensitive patient charts remain highly available to clinicians in real-time while being strictly guarded against data loss or cyber threats.
How does an on-premise data center differ from cloud data storage in healthcare?
The difference centers on physical location, resource ownership, and infrastructure control. An on-premise data center requires housing physical servers, networking arrays, and data backups directly inside a hospital’s facility. It grants total control over data privacy and security but requires high capital expenditures. Conversely, cloud data storage involves placing medical data inside virtualized servers managed by an external cloud storage provider via the internet. This removes the need for local hardware and delivers elastic scalability at a lower cost.
What is a hybrid cloud and how does it solve healthcare data storage challenges?
A hybrid data storage architecture combines the security controls of on-premise infrastructure with the scalable elasticity of a public cloud storage provider. It solves critical healthcare data storage challenges by allowing a healthcare organization to split its data footprint based on sensitivity. For example, a hospital can keep its highly sensitive data and identifiable clinical charts locked inside on-site servers to maintain strict data privacy. Meanwhile, they can leverage public cloud data storage to process large volumes of anonymized research metrics.
Why is unstructured data a major factor driving the healthcare data storage market?
Unstructured data is the fastest-expanding data type in modern medicine, accounting for over 80% of all new clinical records. It includes high-resolution CT scans, MRIs, ultrasound videos, and unformatted doctor notes. Because a single digital radiology study can generate gigabytes of information, traditional storage systems are rapidly running out of physical storage space. This explosive expansion forces healthcare providers to adopt advanced cloud storage in healthcare, such as specialized object storage platforms, to accommodate massive files.
How do data encryption and access controls ensure HIPAA data protection?
Data encryption and role-based access controls are critical technical safeguards required to maintain compliance with federal HIPAA mandates. Encryption translates readable health information into an uncrackable cryptographic code. It ensures that even if a data breach occurs, the stolen files remain completely unreadable to unauthorized parties. Complementing this, strict access controls ensure that only authorized clinicians can view or modify specific patient data. This minimizes internal data exposure and secures protected health information.
What are the main risks associated with using a public cloud storage provider?
The primary risks involve a loss of direct infrastructure control, potential data privacy vulnerabilities, and unexpected cloud downtime scenario impacts. When an organization places its healthcare information entirely into a public cloud, it relies on an external vendor to manage data security patches and enforce data governance. If the provider faces a network outage, the hospital can lose real-time access to its health records. This can delay clinical data processing and disrupt urgent patient care, showing why many networks prefer a hybrid approach.
What is object storage and why is it useful for healthcare providers?
Object storage is a modern cloud data storage architecture that manages data as distinct, isolated units called “objects,” rather than structuring files in traditional hierarchical folders. Each object contains the raw clinical data, an uncrackable identifier, and extensive, customizable metadata. This layout is highly useful for healthcare providers because it offers limitless horizontal scalability and cost-effective management for massive volumes of unstructured data.
How can SPsoft support an organization with its healthcare data storage and management goals?
SPsoft provides end-to-end consulting, database migration, and custom software development services designed specifically for the global digital health market. Our teams possess extensive domain experience, specializing in building secure architectures, setting up hybrid storage networks, and ensuring compliance with global data laws. From initial source database mapping to configuring automated data backup and disaster recovery protocols, we deliver a scalable framework that transforms your storage infrastructure into a secure tool for innovation.
