Big Data in Healthcare Operations
Every healthcare organization accumulates large volumes of data: clinical notes, medical literature, X-rays, streamed data from medical devices, consultation recordings, OR videos, etc.
All this data can be leveraged by using Big Data healthcare analytics platforms to provide innovation trend on operational activities and to get better results in patients’ treatments.
So what is Big Data? There is no single definition for it; however, this term is usually used to help describe large datasets that have four features in common: volume, velocity, variety and veracity.
The goals of processing Big Data can be divided into two subgroups:
Data collected in real time which needs to be processed immediately;
Big volumes of data collected over time that needs to be interpreted in various ways.
In which areas can healthcare organizations utilize Big Data in healthcare for their operations' improvements? Among many, the most discussed big data solutions for healthcare are:
Remote Health Monitoring
The use of remote monitoring and remote surveillance systems can decrease the number of visits to the doctor’s office, emergency calls, in-patient visits and the duration of in-hospital treatment.
The wide adoption of remote monitoring software has made it necessary for hospitals to process multiple large streams of data from medical devices and sensors in real-time mode and provide their security. Big Data can enable this feature, called Complex Event Processing (CEP). It allows hospitals to proactively address risks, improve quality of service, facilitate the processes, etc.
Every new patient brings gigabytes of data that include his genomic, proteomic and metabolic information. By analyzing large, complex and varied data that contain not just patients' characteristics but also the results and the cost of treatment with medical software, hospitals can define the most efficient treatment methods. This will decrease readmission rates, lower the expenses carried by a hospital and provide patient privacy.
Analyzing the global patterns of various diseases enables efficacy in dealing with peak loads in the healthcare system. This, in turn, provides healthcare and pharmaceutical companies an opportunity to plan for future demand of their products and services, which, in turn, leads to more grounded decisions when it comes to R&D investments.
Chronic ailments such as heart disease, stroke, cancer, diabetes and arthritis are among the most common and costly of all health issues. Prevention is significantly less costly than treatment. Big Data allows identifying the patients that are at risk and allocates the resources wisely to allow for treatment.
The Application of Big Data healthcare analytics platforms is not limited to these several areas. It is also used to manage medical literature and reference materials, conduct medical research, analyze unstructured data and more.
In Archer Software, we support many organizations in healthcare industry by helping them manage their data assets with medicine big data analytics. Our services include: DB design and architecture, DB deployment and setup, converting (data migration) non-SQL and SQL DBs, DB queries optimization, Drill-down and other BI algorithms design, Big Data processing and analysis, System and Business analysis, DB maintenance and services.