According to TheDataLab, the use of mobile apps in clinical trials has shown to increase patient adherence and completion rates from just over 50% to over 80%. This and other figures are pointing to a shift in how data-driven mobile app development is drastically transforming how diseases are being treated – both inside and outside of the clinical trial setting. Why is data-driven methodology in mobile app development transforming healthcare and disease management?
Good data leads to increased patient adherence in clinical trials
As TheDataLab statistic illustrates, the use of mobile apps in clinical trials is optimizing the frequency, quality and volume of data. mHealth technology, including wearables and apps, is enabling patients to be tracked during clinical trials 24/7. From calories burned to hours of sleep, mobile technology is now able to accurately capture needed data that patients no longer have to self-report. This in turn increases adherence and ups retention numbers because less responsibility is put on the patient.
Quality Data Leads to Better Decision Making
The average cost of bringing a drug from development to FDA approval is over $2.5 billion, according to a recent study by The Tufts Center for the Study of Drug Development. This figure includes costs for the drugs that don’t make it to the approval phase, and the Tufts Center notes that higher drug failure rates contribute significantly to increases in R&D costs.
Can mobile health technology increase the value of the data and insights that come out of trials? Research is leading to a definitive “yes” on this. Can better data lead to significant changes in how drug trials are conducted? Better data can certainly lead to revised timelines within a clinical trial, or encourage shifting courses depending on outcomes realized earlier on in the process. As mHealth innovation continues to evolve, it is evident that quality data is having a big impact on the decision-making process.
Data to Manage Risk
We know that user-interface is important, but is it the most important mHealth feature? Not necessarily. When it comes to data-driven technology, getting it to market quickly while managing commercial and technical risk factors is vital. This allows pharmaceutical companies to minimize their level of investment required for technical innovations through constant data analysis and refining of the technology based on real user feedback.
As mHealth technology continues to evolve, its role has been bringing together disparate data sources so the clinical trial industry can share data and use advanced analytics to make better decisions — all with the goal of bringing effective drugs to market faster. For more on mHealth download our free eBook and follow up on Twitter @BBKWorldwide.