Automation and other technological innovation have already made their way into several processes in the healthcare industry. However, automation in healthcare market research is a relatively new concept. There has been several debates and discussions in the past couple of years relating to the pros and cons of applying automation in healthcare market research. Most stakeholders in the sector were of the belief that applying automation into healthcare market research is either out of scope or introduces sampling or methodological variability. Consequently, substantial amounts of routine tasks, data integration, and reporting remain manually done. Given the amount of technology available today, healthcare market research services providers must leverage them to enhance the accuracy of their findings and improve data recording and analyzing processes.
Manual processes in healthcare market research, especially in an era where there is an abundance of data to be collected and filtered, can prove to be extremely tedious for researchers. So, what exactly does automation mean for healthcare market research service providers and what are the key types of automation that they should be watching out for?
Automation in healthcare market research
When considering automated solutions, providers must take into consideration these key factors:
Getting the right audience to fill surveys and collecting this data within a stipulated period of time from multiple respondents can prove to be a highly exhausting task for healthcare market research providers. Moreover, with physicians busier than ever due to rising demand for healthcare services, getting them to provide high-quality answers while on the go is another hurdle. Automation in the form of sophisticated sampling algorithms however now allows researchers to optimize for speed and response quality. Here, the sampling methodology used goes out to smaller subsets of respondents at a time. Such sampling automation means a better survey experience for physicians, resulting in quicker responses and increased rates of participation with higher data quality.
One of the prime reasons why traditional healthcare market research takes several weeks to be compiled and reported is the enormous amount of time and effort required to cleanse the data sets. New survey technology applications help solve this issue by validating responses as they come in. This is also known as real-time data quality assurance and it uses software to clean data sets during fielding or as soon as surveys close. Consequently, this provides high-quality, accurate, and real-time survey data. Survey technology providers are increasing their proficiency in data analysis, and market researchers are adopting this approach in large numbers.
Social media algorithms are highly advanced. Algorithms that automate shares, tags, and tweet is a great analogy for the tracking study. Healthcare market research applications are applying similar timeline algorithms to the tracking study. Automation takes the complex work out of repetitive fielding of tracking surveys, collecting responses, and providing visual comparisons of multiple waves. Machines can now do large quantities of tedious work, so healthcare market research teams can spend their time defining and analyzing KPIs and make smart decisions with the data.