Quantzig, a global analytics solutions provider, has announced the completion of their latest analytics article on the top benefits of big data in the healthcare industry. The advent of digital technology has offered numerous benefits to healthcare providers. A key advancement is the use of big data in the healthcare industry. Using big data can help healthcare sector players to provide more efficient operations and insights into the patients and their health.
The healthcare industry faces multiple challenges, ranging from new disease outbreaks to maintaining an optimal operational efficiency. Big data analytics can help in solving these healthcare challenges. With the vast amount of data available in the healthcare sector like financial, clinical, R&D, administration and operational data, big data can derive meaningful insights to improve the operational efficiency of the industry.
According to the big data experts at Quantzig, “Big data and advanced analytics may just be the answer to the hardest of healthcare challenges.”
Quantzig is a global analytics advisory firm concentrated on leveraging analytics for strategic decision making and offering analytics solutions to clients across several industrial sectors. Listed below are the top benefits of big data in the healthcare industry.
Top benefits of big data in the healthcare industry
- Advanced patient care: Electronic health records help in collecting demographic and medical data such as lab test, clinical data, diagnoses, and medical conditions, which helps healthcare practitioners to provide quality care.
- Improve operational efficiency: Healthcare companies use big data as a part of their business intelligence strategy to examine historical patient admission rates and to analyze staff efficiency. Healthcare companies can cut down on healthcare cost and provide better care with the help of predictive analytics. Big data also helps in reducing medication errors by improving financial and administrative performance, and reduce readmissions.
- Finding a cure for diseases: A particular medication seems to work for some people but not for others, and there are many things to be observed in a single genome. It is not possible to study all of them in detail. But big data can help in uncovering unknown correlations, hidden patterns, and insights by examining large sets of data. By applying machine learning, big data can study human genomes and find the correct treatment or drugs to treat cancer.