How Data Science Is Transforming Healthcare Industry
By using Big Data and Analytics, healthcare practitioners in the medical field can now keep track of various patients’ and service users’ vital signs and data. It has brought about a massive change in medicine, with huge ramifications on the effectiveness of healthcare
The healthcare sector is one of the most vital aspects of modern society, more so considering the times we are living in. With the impact of COVID-19 and an ever-growing list of new diseases and ailments, having a robust healthcare system that is better prepared to handle the next pandemic – should it ever arrive – is more crucial than ever.
Now there are various aspects to this – the most crucial being communication and information management. To serve patients more effectively, it’s critical for nurses to communicate effectively with them. It’s a common belief that failing to do so can result in deadly consequences because of the medical environment’s need for new treatment methods, data storage, and patient demand.
And to achieve the same, healthcare organisations are now increasingly relying on technological advancements and more efficient information management practices. Big Data, which refers to the massive quantities of data that are organised and comprehended through the digitisation of records, is one of the more critical new technologies that is impacting the healthcare environment today.
The enormous amount of data that health practitioners are collecting, much as entrepreneurs do, has prompted comparisons to be made between how healthcare professionals now handle and collect massive amounts of data, just as individuals do.
Let’s look at six ways in which Big Data and healthcare analytics are revolutionising the healthcare industry.
Health Tracking System
By using Big Data and Analytics, healthcare practitioners in the medical field can now keep track of various patients’ and service users’ vital signs and data. It has brought about a massive change in medicine, with huge ramifications on the effectiveness of healthcare. Health tracking systems are one of the most powerful and sophisticated tools available to doctors today. They allow for patient monitoring in a way that has never been done before. Wearable devices, such as health trackers are being utilised by clinicians to monitor the patient’s pulse, blood pressure, and glucose levels, among other aspects. By accessing all this data and managing it effectively physicians can prevent individuals who spend time in the hospital from developing a serious illness by intervening before it occurs.
Reduce Healthcare Costs
Healthcare is an expenditure-heavy industry, and several hospitals face trouble in managing their expenses. To manage the same, Big Data Analytics is being utilised in predictive analysis to assist occupational allocation and help the industry players in lowering their expenses. For example, monitoring a person’s health and observing their status before getting them admitted in the hospital can help avoid serious medical problems while also saving money on healthcare costs. According to two-thirds (61 per cent) of medical executives, predictive analysis is expected to save 15 per cent or more on the expenses of their organisation over the next five years.
Better Care For High-Risk Patients
The digitisation of hospital and patient records has been of great help in identifying and treating high-risk patients more effectively. Historical data, for example, might be used to discover recurring health issues and persistent concerns in a patient’s health. The possibilities for this invention to revolutionise healthcare are enormous. People will have the ability to fight off diseases and heal damaged tissues through regenerative medicine, allowing them to heal faster as a consequence of increased knowledge. The growing expertise will be able to offer better treatment to patients while also cutting down on the amount of repeat hospital visits.
Enhance Patient Care
Big Data can also improve patient treatment. For example, by investing in an information system that allows all components of a hospital to communicate with one another, patient records can become readily available from any place and at any time. Today, a patient’s medical history is simpler to find because everything is in the digital cloud, which is an enormous leap forward from paper records.
Limit Human Errors
There have been several examples of incorrect medication being given or appointments being missed as a consequence of human mistakes, which has had devastating consequences. The application of big Data can readily assist in minimising errors, even though some human errors are unavoidable when employees handle vast quantities of data. For example, pharmacy software can identify information shared by several medical experts and flag any prescription errors, allowing doctors to save lives.
Improve Patient Engagement
Patients feel more connected to the healthcare community when they have a better grasp of what’s happening and are actively involved in their treatment plan. Patients can be included as part of the decision-making process regarding their overall treatment by gathering data through social media, online messages, and interactions. Furthermore, the use of Big Data in healthcare is not just limited to modifying existing approaches or treatment plans; rather, it entails adjusting to industry changes so that procedures and treatment choices may be updated regularly.
The healthcare industry’s adoption of Big Data and Analytics has resulted in the development of several new possibilities. Despite people’s worries about how Big Data would influence conventional care and therapy models, digitisation of patient records and the use of computer technologies have allowed healthcare professionals to spend more time with patients.
Healthcare can profit from Big Data in various ways, with the potential to revolutionise how we receive medical care, improve quality, decrease costs, and save lives. Furthermore, the use of Big Data has opened up a range of career options that include executive knowledge and abilities in the data-driven techniques of operation, leadership skills, and the ability to collaborate on and develop innovative care models.