How Remote Patient Monitoring Technologies Help in Clinical Trials

Remote patient monitoring (RPM) technologies are an important part of clinical trials, especially...

Remote patient monitoring (RPM) technologies are an important part of clinical trials, especially those taking place in isolated places or having special monitoring needs. Remote patient monitoring has shown significant potential to improve clinical trials and medical research as well as to help with their effective decentralization and remote data collection in a myriad of ways. Read on to find out more.

What Are the Challenges and Barriers to Effective Clinical Trials Today?

There are many challenges and barriers to effective clinical trials today. One of the biggest issues is the lack of research participants. There are not enough people willing to participate in clinical trials, and this can make it difficult to find participants for such trials. Additionally, many participants drop out of clinical trials before they are finished, which can affect the results of the trial.

Another challenge is connecting participants with the right trial. There are many different categories of clinical trials, and it can be difficult to find the one that is best for a particular person. Additionally, some trial recruiters may not be honest about the risks involved with a trial or may try to pressure participants into signing up for a trial.

Another issue is that clinical trial results are often not made public or are difficult to access. This makes it difficult for researchers to build on previous research and can lead to researchers replicating mistakes that have already been made in previous research. Additionally, some results may be classified as trade secrets and not be available at all. Finally, there is not always enough funding available for clinical trials, which can lead to studies being cut short or never starting in the first place.

rpm and clinical trials

Decentralization and remote data collection systems can support clinical trial operators by enabling them to track their data across distributed deployments. The systems can also give the modern predictive health platform the stability, security, and usability it needs. 

How can Remote Patient Monitoring Technologies Help Clinical Trials and Medical Research?

Remote patient monitoring technologies are revolutionizing clinical trials and medical research. They are providing researchers with more accurate data, and they're making it easier to recruit participants to studies.

Reduced Time Spent

Remote patient monitoring technologies can lessen the time participants or researchers must spend traveling to the site to undergo tests or discuss reports every time. This is very time-consuming and costly for individuals to travel to a study site for blood collection or another biological sample testing. Automated collection of specimens with remote patient monitoring technologies allows for greater efficiency and reliability by freeing up valuable researcher time.

The Non-Contact Method Reduces the Safety Risk

Non-contact collection techniques significantly reduce study subject exposure to pathogens in blood samples by reducing (or removing) the need for needle pricks. This is especially important for patients who have weakened immune systems.

Flexibility in Trials

Flexibility in trials can be improved with remote patient monitoring technologies. These tools enable researchers to change protocols without adding expense, and labor resources are shifted in real time to suit changing research needs.

If researchers discover that a particular biological sample is not as accurate as they thought it would be, after all, collected using an automated collection technique, they can easily stop collecting that sample and switch over to another one without any disruption to study progress or participant recruitment. This can provide many cost savings on both sides while improving trial flexibility.

Improved Health Data Quality and Accuracy

Remote patient monitoring technologies help advance health data quality and accuracy. With automated collection and assay technology, studies are better able to capture data pertaining to health status over time because automated systems are less prone to error than humans are—there’s no fatigue or oversight involved in automated blood collection and analysis procedures.

rpm data quality

Data quality becomes more consistent and therefore more trustworthy due to the elimination of human error occurrences during the collection/analysis cycle (blood draw/antigen detection). Not only does machine learning technology empower research teams by giving them more accurate health data about participants, but it also protects their privacy by keeping this information private (meaning fewer participants may be required overall).

Diversity of Trial Participant Recruitment and Engagement

Remote patient monitoring systems in clinical trials allow potential participants to be monitored long before they are physically at a trial site. This can motivate a lot more people who might be interested and make it more likely that qualified people will be found. This results in more diverse data sets, which are essential for researchers.

Lowering of Costs

The cost of running a clinical trial can be greatly reduced when fewer trial participants need to travel to a central location for physical assessments. Also, remote monitoring in clinical trials can make it easier and cheaper for researchers to gather data about patients.

What Features of RPM Technologies Help to Address the Challenges and Barriers of Clinical Trials?

There are many features of RPM technologies that help to address the challenges and barriers of clinical trials.

RPM technologies help to address the lack of research participants for clinical trials by replacing the need for a human research subject with technology. RPM provides an anonymous way to acquire data, which can be more appealing than traditional research methods. Additionally, RPM allows data collection to occur at any time and in any location, which makes it more convenient for participants to contribute their data. Furthermore, RPM technologies are automated, so they can run continuously without requiring manual input.

RPM's automated matching technology helps investigators find potential participants for their studies who meet their study's eligibility criteria. The technology uses rules and filters to automatically match potential participants with studies that are recruiting without duplicating any work. This does away with an arguably time-consuming part of clinical trial recruitment and frees up investigators' time to do what they do best—help participants and work on their studies.

Numerous features of RPM help to address the challenges and barriers of clinical trials. Created specifically with clinical trials in mind, RPM offers a suite of software products designed to streamline the entire recruitment and study process. With automated data collection and predictive analysis, researchers are able to better understand their data and work under-informed decisions.

Conclusion

There are many problems facing healthcare today, and remote patient monitoring is one possible solution. Clinicians, researchers, and patients may all benefit from the use of remote patient monitoring. Patient engagement, retention, data accuracy, and scalability can all be improved with remote patient monitoring. It can also help treat patients beyond the hospital setting, resulting in lower readmission rates and better patient care. Researchers can get data from remote patient monitoring, which lets them take part in clinical trials. 

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