Everyone seeks personalized healthcare. To achieve this goal, we must leverage big data to decipher and analyze individuals’ thoughts and needs. Beyond being an industry buzzword, what tangible successes can big data deliver for healthcare professionals and consumers?
The following infographic, created by Evariant—a leading provider of big data services for hospitals—illustrates the trends and benefits that arise when big data is effectively managed.
Big Data Has Brought Tremendous Progress to the Healthcare Industry. Over the past few decades, big data has profoundly impacted every sector, including healthcare. Today, vast amounts of data are enabling healthcare to become more efficient and personalized.
How Is Big Data Transforming the Healthcare Industry? Effective utilization of big data can add $300 million in value to the healthcare sector.
Improving Efficiency and Reducing Waste
Enhance efficiency for hospitals, healthcare systems, and medical offices, among other benefits; reduce waste.
It is estimated that the volume of big data generated in just two days in 2015 exceeded the total amount of big data accumulated from the inception of big data through 2003.
Predictive Capability for Infectious Diseases in Medicine (Increased to 90%)
The application of big data has enhanced the ability to predict epidemics (algorithms that analyze big data to predict epidemic diseases can achieve 70–90% accuracy), treat diseases, improve quality of life, and issue early warning signals.
Big data enables a more comprehensive understanding of patients’ health histories; however, only a portion is listed here…
Big Data Trends and Practical Applications
Big data can enhance public understanding of public health, foster a more comprehensive awareness of personal hygiene, enable analysis of health patterns based on race, gender, age, and region, and accelerate the learning and implementation of preventive treatments.
Information from smartphone apps and smart bands, along with other medical data, can be shared with physicians in real time.
Clinical Trials
Nowadays, the vast amount of available data can help researchers select trial subjects more accurately and selectively.
Large pharmaceutical companies are now also sharing data. Data sharing has opened the door to medical breakthroughs.
Researchers have recently discovered that desipramine, a common antidepressant, can treat certain types of lung cancer.
Personalized Medicine
Big data enables pharmaceuticals to be customized based on individual genetics.
Comparing an individual’s genetic makeup and lifestyle habits with data from others enables physicians to predict health issues and make optimal clinical decisions.
Big DataInHospital Applications
Hospitals are adopting big data, which is transforming their workflows.
A hospital is expected to save $850,000 in overtime expenses by implementing real-time staffing adjustments based on data analytics.
Data is becoming increasingly actionable, facilitating informed decision-making for discount programs, disease management, quality assurance, performance reporting, hospital operations, and other functions. Data analytics aids in predicting readmission rates, enabling hospitals to plan and utilize resources more effectively.
Data and Technology Are Defining the Leaders of the Future Healthcare Industry. Industry leaders are leveraging these two tools to accelerate growth in business, profitability, efficiency, patient care, and other areas.
Issues and Solutions
Due to the influx of massive data streams, it is necessary to comprehend, organize, analyze, and structure the data.
When big data is paired with high-quality customer relationship management, it becomes a gold mine. Without effective management, health systems and hospitals will be unable to leverage data efficiently.
An exceptional customer management platform should feature: customized healthcare solutions, robust support from rich, up-to-date data and analytics, continuous innovation in client-focused solutions, and seamless platform transition.
Solution: Customer Relationship Management facilitates the effective utilization of big data through visibility, engagement, and measurement.
Final Results
Help hospitals and health systems engage more extensively in big data applications to improve the overall health of society.
Translation | Liu Jianqiu
Editor: Huang Jia