Big Data and Artificial Intelligence can help hospitals and doctors improve the complete experience of providing healthcare services along with controlling the cost of running several tasks.
Putting big data and AI to work for the healthcare industry can bring in remarkable revolutions. There are limitless benefits of employing big data for healthcare operations and using machine learning to streamline several manually performed processes.
“The patient experience can be improved by using big data and AI in healthcare service providing processes”
Big data and artificial intelligence have the power to improve a patient’s life and healthcare journey. With the core focus of obtaining clinical benefits, the computational science technology—Big Data and AI, can prove its worth at several places; from developing drugs for rare diseases to managing different syndrome or disorders, to informing parents through on how they can understand children’s symptoms related to diseases.
“Big data and AI are not replacements of anybody or anything. They are the new member of a team, instead”
Implementing big data, artificial intelligence, and machine learning to healthcare services will bring both solutions and problems. Take the example of cancer immunotherapy that uses the substances made by a patient’s body immune system to fight off cancer cells. Historically the treatment has worked on a small subset of patients.
It means that with the typical treatment approach, there is no way to discover whether the treatment will work on a particular patient or not. But the machine learning technology can predict immunogenicity, identify existing immune-therapies, and help in developing the new ones, which will be responded to the body of specific patients.
Getting all necessary data to build such machine learning capabilities is still a challenge. There will be need of the data distributed across a vast range of modalities, genes, proteins, immune responses, and clinical symptoms. But these challenges can also be overcome by efforts.
This is why using computational science in the healthcare domain should always be considered as bringing in a new member in your team. The team member will always require your support and training to perform its tasks.
Data can be collected through multiple ways
The collection of data can help doctors track what patients are experiencing in their daily lives. Digital phenotyping is powerful enough for moment-by-moment data compiled from personal devices like smartphones. The compiled data can then be quantified for analysis and app. The data can be collected actively, such as by the inputs of patients themselves or passively, such as a gadget or device is recording it automatically.
Digital phenotyping will provide more accurate and holistic understanding of a patient’s medical condition. This is just not possible when patients traditionally visit doctors, but phenotyping can provide a full picture.
No conflict with existing technologies. They can be harnessed with AI and Big data in exciting ways.
Implementing big data and analytics doesn’t mean hospitals have to start things from the scratch. Existing technologies can also be used in a novel way to collect healthcare data and improve the patient’s outcomes as well as giving them more access and autonomy in making their own health decisions.
Technologies at work!
Big data and artificial technologies are already improving many life aspects, including keeping track of health conditions and reporting them back to doctors. It has the potential to change the healthcare in multiple ways, but the biggest benefits drawn by health care will surprise you.
It’s really difficult map-out the exact concept of Big Data and AI in healthcare. In fact, they have limitless scopes. Related technologies like deep learning and streaming analytics can totally revolutionize the whole healthcare system and, the way services offered as well as the tracking and recording of a patient’s health progress.
- Hospitals serving under the umbrella company Vizient have already employed big data analytics to track patterns in lab data to improve care;
- ICUs telemetry data provides doctors and nurses with full alerts on every happening with their patients,
- New big data approaches are helping in researching on brain tumors and other cancers,
- Big data analytics is enabling doctors to detect sepsis, which means the number of death count is decreasing
- Latest propensity models can now tell doctors and other healthcare providers that which patients may be re-admitted.
Without any doubt, Big Data and AI technologies are quite powerful and have matured to be used in healthcare domain for multiple of purposes. The healthcare industry accounts for trillions of dollars in annual spending around the world and, it touches nearly us all. With big data and AI every aspect of this industry can be made more responsive, intensive, quick, transparent, and secure.