What is Healthcare Analytics?

Healthcare analytics focuses on the technologies and processes that measure, manage, and analyze healthcare data. Using healthcare analytics properly enables you to make more effective and efficient operational and clinical decisions. Examples of insights gained from healthcare data analytics can help you better understand the drivers of operational and clinical success, medical outcomes, costs of delivery, and which aspects of those outcomes you can improve for better results.

Benefits of healthcare analytics

Business analytics in healthcare help organizations efficiently and effectively analyze data to drive better decision-making throughout the healthcare enterprise. Using healthcare analytics, you can better direct resources to have the most impact on improving operational procedures, processes, and patient care.

Improve the patient experience

Analytics in the healthcare industry supports a sharper focus on improving the quality of care experience. These analytics help your practitioners and staff make better decisions around program enhancements to improve business operations and outcomes. Analytics in healthcare turns data into practical information that guides the most informed decision-making around patient experience.

Gain market share

To gain more market share, you need to uncover what type of care your consumers want and where healthcare delivery can be optimized. Analytics in the healthcare industry is helping providers to understand better where to expand, what specialty services to invest in, and which current services to optimize.

Cost optimization

Healthcare providers that optimize their supply chains gain a strategic competitive advantage with regards to the cost of delivering services. One of the benefits of data analytics in healthcare is its ability to help to streamline supply chains by delivering the data about inventory, supply expenses, and vendors, as well as providing insights that improve supply chain efficiency.

Improve billing efficiency

Billing is a complex department in the healthcare industry. Healthcare analytics can provide deep insights into processes and outcomes across multiple facilities or with multiple providers. Those insights help you minimize losses by detecting anomalies like false claims, redundant billing, or duplicated supply orders.

Challenges in healthcare analytics

The healthcare industry faces several challenges in implementing healthcare analytics, including the need to keep patient data private and secure by following HIPAA regulations. The right healthcare analytics solution can address the following challenges of big data in healthcare:

Privacy

Healthcare organizations are required by regulation to protect their patients regarding the collection, use, and disclosure of their medical data. Data analytics solutions need to protect patient privacy by delivering insights that support the management and enforcement of security protocols, and which can also provide risk monitoring to detect and prevent compromises in patient privacy.

Security

Data security is a fundamental concern for all organizations. Data must be collected, maintained, transmitted, and viewed in a securely to provide care. Data protection must meet the standards of the Health Insurance Portability and Accountability Act (HIPAA). Healthcare analytics platforms can support robust governance protocols and support your organization’s data security strategy to maintain HIPAA obligations.

Management

Collecting massive amounts of data is only one part of the big data puzzle for healthcare. All that data has to be formatted, organized, stored, and governed to be made easily accessible by authorized parties. Healthcare analytics can help healthcare organizations manage their data in a secure, compliant environment.

Retention

Data stewardship is an important part of effective data management in healthcare. Data must be accessible, protected, and retained for at least five years. Healthcare analytics can effectively support the requirements of a healthcare organization’s data life cycle management.

Healthcare analytics examples

From delivering deeper insight into business operations and patient experiences to informing an opportunity’s cost optimization, healthcare analytics provide important business insights that improve the efficiency and quality of healthcare services. The following examples show how healthcare analytics can support effective operational and strategic decision-making in healthcare.

Getting more value from data

Integrating healthcare analytics with existing technologies and operational data can grant medical providers and pharmacies with a new level of data access that allows them to provide enhanced patient care, accounting, and reporting capabilities.

Making healthcare data accessible, actionable, and secure

Healthcare companies and institutions must address complicated data challenges with privacy protection regulations such as HIPAA and other state and federal privacy laws. A healthcare analytics platform can respect privacy and security for patient data while also helping to improve operations and data management processes.

Improved process for enhanced customer service

Genetic screening requires the collection and management of enormous stores of data. A healthcare analytics solution allows scientists to do more with data by analyzing it in a secure environment, delivering insights at an enterprise-wide level, and improving customer service.

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