4 Ways Data Analytics is Helping in Saving Lives

Data Analytics is surely making its impact felt across a myriad of industries, by helping them in increasing efficiencies, reducing costs, making better decisions, and achieving higher revenues. However, the benefits of data analysis are not limited to how a business maintains its edge in the competitive market; in fact, it goes a few steps further to fight and address some of the most pressing global challenges. By providing effective management of disasters, reducing response times in crisis situations, and offering better disease control & prevention, data analytics is actually helping in saving lives and making our planet a much better place to live in. Let’s have a look at how this technology is helping us to predict and manage situations that pose a threat to human life.

  1. Facilitating Better Decision Making Inside the Operating Room

In situations when human life hangs in a balance, every second counts. Surgeons stepping into the operating room often need to encounter several potentially fatal questions. While they need to ensure the use of the best possible clinical procedure, they are also laden with the responsibility of assessing the probability of the patient developing a surgical site infection. However, with the application of predictive analytics, surgeons are now in a position to enhance precision in such critical decisions made during the surgery. By merging historical and real-time data pertaining to the patient, and running a predictive model on such data set, hospitals can predict the likelihood of an infection even before it occurs, thereby alerting the surgeon for improvising & individualizing the treatment option.

  1. Reducing Response Times in Emergency & Disaster Situations

Beyond the operating room, emergency call centers are also making extensive use of data analytics to make sure that patients receive immediate medical assistance during crisis situations. After collating data from multiple sources, such as wireless communications, geographic information systems, and several others, they analyze it to form maps, which are updated in real-time. These maps help ambulances to select the most efficient route for reaching their intended destination on time, thus evading the possibility of getting stuck in traffic jams and wasting precious time. Further, by applying predictive analytics, emergency response agencies have also become better equipped to arrange and send their rescue teams to those areas, which display a high propensity of being adversely affected by a natural disaster. By analyzing call data records, these agencies can anticipate beforehand the location and movement of victims post a natural disaster or disease outbreak. This helps the agencies to gain a better understanding of how to manage the aid efforts, thereby diverting the resources to those who need them the most.

  1. Using Predictive Analytics to Render Personalized Healthcare

Healthcare organizations have access to a mountain of health data sourced from electronic medical records, claims, billing systems, patient satisfaction data, social media records, and much more. Leveraging analytics on this data set enables practitioners to deliver personalized care, based on the patient’s unique genetic make-up and other attributes. From facilitating clinical decisions, optimizing interventions, preventing readmissions, deciding a course of treatment, or avoiding the occurrence of an adverse event, predictive analytics is helping health care institutions to deliver all this and much more, not just on the generic grounds, but at the level of each individual patient. Such individualized care not only accounts for better management of chronic diseases but also predicts if a particular patient is at a risk of developing a deadly illness.

  1. Detection of Deadly Diseases at an Early Stage

Speaking of deadly diseases, forty years ago, cancer patients had a 50-50 chance of survival after 5 years from the date of diagnosis. Today, the survival rate has shot up to a staggering 70%! Thanks to analytics, which has now made it possible for practitioners to diagnose the disease at an early stage, thus enabling them to start the treatment sooner. It has also helped scientists to comprehend the factors that trigger the occurrence of the disease. The major revolution that analytics has brought about in this aspect is that of genomic sequencing. This study and analysis of DNA gives out warning signs for early diagnosis and analyzes the probability of developing cancer in the future.

A couple of decades ago, we could not even imagine that there could be a solution to such global issues, and yet, this is just the beginning. Once data analysis becomes more mainstream, it will spawn further opportunities to save human life and the planet at large.

Acer Innovation is a leading edge data analytics firm providing consulting services across a diverse range of industries. For more information on its use of technology and services provided, one may visit http://www.acerinnovation.com/

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