The analytics derived from Big Data is very important for a business. But, the real value of Big Data training models is also used in some life-saving operations that can solve millions of lives with timely intelligence and insights. Big data training in healthcare is a very popular science that is transforming every clinical undertaking that ranges from simple patient monitoring systems to personalized mobile app consulting, from high-end motor neuron surgery to drug discovery, and from complex genome research to find the extent of tissue metastasis. There are many more areas in healthcare that can be brilliantly benefited by bringing Big Data Analytics to healthcare. Let’s discuss these —
Healthcare Applications and Tools
We can breakdown the Big Data training and application development by virtue of devices they are implemented with.
Here are the top 15 software-driven applications where we are already seeing combined forces of data science and medical research coming together.
- Patient Management Systems (Software-based CRM for healthcare)
- Search Engine data
- Electronic Health Records Management
- Mobile-based Patient Communications (Zoom Meetings, Google Duo, Facebook Messenger, WhatsApp as benchmarks)
- Real-time Patient Meeting and Scheduling
- Invoice and Billing systems
- Surgery Inventory Management
- Robotic Surgery and Automation
- Internet of Things and Smart Devices – Pens, Notepads, and Mouse
- Connected Healthcare Infrastructure, in line with the larger Smart City development
- Augmented Reality/ Virtual Reality and Mixed Reality
- Wearables, fitness apps and trackers
- Pharmacy Outlet Management Systems
- Geo-location tracking of ambulances, emergency teams, and rescue
- Diagnostic and Pharma
Why Focus on Big Data in Healthcare?
Viruses are a threat to human lives. COVID-19 pandemic has already shown what a virulent strain that originated in the Wuhan market in China could do to the whole world. Millions affected and much more likely to be dead by the end of 2020, the role of Big Data as a surveillance and disease tracking technology remains the most inductive application today. Given the current scenario and the level of damage it has done to our lives, Deep Learning and AI-based predictive intelligence could be used to detect any future occurrences of pandemic and arrest them before they affect the general population.
Precision Medicine, Saving Costs and Managing Population Health
Harnessing the power of AI, Machine Learning, Data Science and Drug therapy research could save billions of lives through a scientific approach called – Precision Medicine.
Personalized medicine with Big Data could drive health strategies for a family, group, or population that could isolate risky zones from healthier ones.
Taking a step forward, Pharmacology and Pandemic Management Systems could be interlinked to ensure there is a sync between healthcare services, infrastructure, testing, and diagnosis, contactless communication, and vaccinations.
For medical waste disposal, Robotic healthcare workers could be deployed to make the whole system safer and human interactions are restricted to a minimum.
Social Engineering Targeting the Healthcare Systems
If you thought only the Wuhan virus was affecting our lives — think again! 90% of the population who have access to an internet connection have been targeted by cybercriminals and spies. But, that’s just the surface attacks that cyberthreats are all about. Deep down, there is a whole universe of tactical planning to sabotage how human populations interact online. It’s a virus of the internet that manipulates internet users into clicking, buying, or leaving important details online through impersonations.
It’s called Social Engineering — an evil which has affected a large population of ‘work from home’ employees and workers. Social engineering is targeted at the most vulnerable point of the organization — the employees who are working remotely and accessing IT resources through unsecured devices, like a personal desktop, laptop, or mobile.
An unintelligent action of clicking on a phishing email or SPAM could land the entire organization in a ransomware trap.
The attacks and the risks simply magnify for healthcare institutions. Merely because the healthcare institutions are one of the easiest targets to hunt down patient data, drug history, and vaccinations research!
So, Big Data training has also found its importance in stopping cyberattacks and preventing security risks from damaging the medical field.
With so much diversity in the healthcare industry with regard to the type of tools and devices used, content, context, applications, and database used — the onus is on the Big Data Training and analytics teams to harness the enormously fertile ecosystem to save lives and transform the way medical care is provided to each human.