Top 3 Ways in which Big Data Can Transform Patient Monitoring
As the traditional healthcare industry is moving towards an era of open information, big data has emerged as a potent tool to provide smart, data-driven thinking. Until recently, most stakeholders in the medical industry had underinvested in information technology. However, with technology seeping into the life sciences industry, there has been an enormous collection of […]
As the traditional healthcare industry is moving towards an era of open information, big data has emerged as a potent tool to provide smart, data-driven thinking. Until recently, most stakeholders in the medical industry had underinvested in information technology. However, with technology seeping into the life sciences industry, there has been an enormous collection of data which can be used to bring down the treatment costs, prevent diseases, and improve the overall quality of life.
Big data in patient monitoring: The tipping point
The quest for innovation in patient monitoring, along with the convergence of several changes in the health care industry are the two reasons for the adoption of big data. Five major changes which created a tipping point for the adoption of big data are:
- High demand for better data
- Availability of relevant data in the form of EHRs
- Adoption of analytical tools for patient care
- Market-friendly policies by governments across the globe
Top three ways in which big data is transforming patient monitoring
- Electronic health records (EHRs)
EHRs use big data on a huge scale. These digital records store crucial patient information like their medical history, results of lab tests, demographic detail, among others. The data collected in these electronic documents, enable doctors to get a clear picture of the patient history and facilitate better and timely delivery of the healthcare services.
Another major advantage of adopting big data is that now patients can easily keep track of their prescriptions and lab tests. So, by integrating the EHRs across various medical facilities, patients have experienced reduced number of unnecessary hospital visits and lab tests.
Digitization, smartphones, wireless devices, and online video conferences have set the ball rolling for delivery of remote clinical services. Telemedicine is in full bloom today, all thanks to these technological innovations. The data collected from these devices can be easily shared which makes diagnosis a lot easier. Apart from remote patient monitoring, big data also helps in predicting acute medical events and prevent deterioration of patient’s conditions.
Another major way in which big data has changed telemedicine is by providing real-time data with which operations from remote locations using robots.
- Predictive analytics and informed strategic planning
Quick decisions need to be taken when it comes to treating patients suffering from multiple complex conditions. The role of data becomes even more important in this context. Big data provides insights which help doctors make informed decisions and improve the overall treatment process. These insights also help in predictive analytics, as it becomes easier to foresee which patient is at the risk of diabetes or cardiovascular diseases.
Most of all, the use of big data in patient monitoring enables academics and care managers to review the healthcare delivery strategy and work towards informed strategic planning.