Healthcare is riddled with tedious tasks all of which consist of enormous amounts of data and information, processing all of this manually can at most times be difficult. Healthcare Artificial Intelligence is the division of Healthcare that leverages the power of technology and Artificial Intelligence to automate the processes carried out in Healthcare. The first and foremost focus of Healthcare AI applications in is its need to recognize relationships and their differences between the techniques for treatment or prevention of patient outcomes.
Before throwing an AI system into the working environment, they are required to be trained for the task they’re to be deployed for. This training is done through data that are generated from clinical activities, these clinical activities can include screening, diagnosis, treatment, etc, such that the AI is able to learn similar groups of subjects and associate between subject features to determine outcomes of interest. These clinical data often exist in but not limited to the form of demographics, medical notes, electronic recordings, physical examinations, and clinical laboratory and images.
Traditional Healthcare processes constitute of growing problems that keep recurring, these problems take forms of Limited Data Access, Regulation Compliance, Prediction Accuracy, Traditional Infrastructure, Data Extraction, and Data Security.
The aforementioned problems can be approached through various solutions, some Healthcare AI Solutions that we have listed out are AI-based Healthcare Product Engineering, Enterprise AI Platform, AI-driven Health Analytics, Healthcare Operational Support, AI-powered IoT Automation, and AI-based Healthcare Informatics.
The above process image gives us an outline of how clinical data from medical devices are incorporated into the Artificial Intelligence algorithm by healthcare ai companies and are in-turn, converted into useful insights with the help of Artificial Intelligence and Predictive Analytics.
The possibility of automating a large number of jobs through new technology is a topic I have touched on many times over the past few years.
The most advanced summary of this emerging field comes from the Stockholm School of Economics, which has published a report exploring the impact of technology on work in Sweden.The report shares a perspective with previous works that I believe provides a more realistic analysis of the potential of technology.
The authors believe that although technology has considerable potential to automate certain tasks, it is rare for an entire job to be automated.What’s more, the nature of the work we do is likely to change, replacing the simple tasks with the more complex and creative work that sees man and machine working together.Pace of automationThe report outlines five factors that are considered key in the speed and scope of automation.1.
Commercial availabilityMany of the techniques that hit the press are limited to laboratory conditions, some commercially available.
Since a complete alternative is unlikely, it may complicate the financial mobilization a bit, especially when high profits can be reinvested into new areas and thereby create new work.4.
Labor Market DynamicsThe adoption of technology is heavily influenced by the labor market dynamics in an area.
Market research trends then and now in 2020 Discussing the market research trends for 2020 seems like a future prediction for it was just yesterday when everyone was overwhelmed with the innovation of smartphones and loved picking up calls sliding that green receiver’s button to answer (even if it’s a research-based or online market research call).Now, the time has flipped and we no longer like to receive calls, instead, notifications on social media are somewhat of an exciting matter.Market research companies in old times used in-depth and laborious efforts to bring out accurate market research results.
It’s 2020 and market research trends have changed dynamically and interestingly to something we would never have had the tiniest idea about.Market Research trends 2020 includes: With mind-blowing inventions and discoveries over the past couple of years such as digitization, artificial intelligence, voice recognition systems, automation, etc.
However, to everyone’s surprise, it has taken huge platforms to derive data and collect insights in a short period of time.
The unprecedented advancements in technology and uprising demand with it, the market research companies have also adopted technology-based techniques to lead the market.
Let’s get the gist of knowledge of what and how market research trends are to be in 2020-1- Automated research and its demand in the marketWith everything getting effective and efficient with automation, the demand to produce research and collect automated data is high and feverish.
The people with decision-making responsibilities require automated data directly on the screens of their systems, which gives them fast solutions to provide fast delivery in the demanded time.It will and is going to help researchers to ready the insights in no time and with perfect conduct.2- Artificial Intelligence in market research for top-notch resultsPeople don’t just need automation, they now require the machines/systems to think and learn themselves.
Robotic process automation brings out a lot of benefits in different industry niche as it supports high-frequency manual, repetitive, rules-based processes, which are critical for an appropriate service.So, below are some of the real-world examples of RPA use cases that are being leveraged by the industry leaders.1.
RPA use case in Customer Service2.
RPA use case in Finance Services (Banking and Insurance)3.
RPA use case in Human Resources4.
RPA use case in Telecom 5.
RPA use case in RetailTo read more about Real life RPA use cases visit here!
