Tag: clinical trials data analysis

virtual clinical trials

Virtual Clinical Trials: Analyzing its Role in Reshaping the Future of Life Sciences Industry

What are Virtual Clinical Trials?

Conventional clinical trials that adopt sequential processes are widely accepted and are proven to adhere to the industry standards to help ensure the efficacy and safety of new medicines. However, certain factors are now extending the length of clinical trials and also contributing to high failure rates. That’s where virtual clinical trials come in. Virtual clinical trials can improve clinical cycle times while reducing the cost of clinical drug development.

Virtual Clinical Trials or VCTs, also called remote or decentralized clinical trials, are a relatively new, underutilized method of conducting clinical trials taking full advantage of technologies such as apps, electronic monitoring devices, and online social engagement platforms.

We have several years of experience in helping life sciences companies to optimize clinical trial processes by combining data, analytics, and technology. Speak to our experts to know more.

Healthcare has now become a costly matter as every country now spends a higher percentage of its gross domestic product for the healthcare sector. Also, the growing expectations of the taxpayers and patients are forcing the life sciences industry to increase the quality and quantity of information and evidence generated during normal clinical trials. This is also leading to complex clinical trial design. The increasing adoption of virtual clinical trials amid the crisis can be attributed to several challenges associated with the traditional clinical trial methodology, including:

  1. Increasing time duration of clinical trial
  2. The success rate of a drug depends on the disease, which might not work properly on another individual from a different demography
  3. Data security and storage

Our clinical trial data analysis solutions can help companies to access the critical trial data in near-real-time on interactive visual dashboards. Request a free proposal to gain comprehensive insights into our solutions portfolio.

Apart from these three main challenges the clinical trials have a huge cost factor associated with it, including costs driven by:

  1. Patient recruitment
  2. Outsourcing cost
  3. Patient retention
  4. Site recruitment
  5. Site retention
  6. Clinical trial data management cost
  7. Tech cost

The patients who sign up for a clinical trial on them also face numerous challenges we have however noted the most significant ones which are-

  1. Patient safety
  2. Unclear regulatory acceptance

Amid the growing complexities in today’s healthcare systems, leading life sciences companies are turning to virtual clinical trials owing to its capacity to change the drug development scenario. Technologies like artificial intelligence and machine learning have been proven to transform the traditional clinical trial data analysis methodology, making it an essential aspect of all clinical trials. Virtual clinical trials can change the current protocol layout design to a study execution which will result in improving the success rate of the trials and also lessen the burden of research and development.

virtual clinical trials

Virtual Clinical Trials and Modern Life Sciences Industry

The life science industry is ready for some significant changes. From chronic diseases and cancer to radiology, there are numerous opportunities to leverage clinical trial data analysis and advanced analytics to deploy more efficiency and impactful innovations in patient care.

As healthcare becomes costlier patients are expecting and demanding more from the providers. The volume of available healthcare data is thus increasing at a high pace bringing in more complexities to the highly regulated healthcare environment. As a result, virtual clinical trials are now the new ray of hope for driving improvements across the healthcare sector.

Virtual clinical trials offer a number of advantages over conventional clinical trials. Learning algorithms can become more accurate as it will interact with clinical trial data analysis, which will allow the life science industry to gain unprecedented insights into care processes and patient outcomes.

Virtual clinical trials offer the ability to reduce risk in drug development. Data from such trials can be accessed by scientists in real-time and will create more chances of success. It gives a remote monitoring capability that allows improvements in trial designs based on accumulating data thus drug termination decisions can also be made faster than usual. Virtual clinical trial data analysis can also give insights about patient conditions and it can reduce expenditure on failed trials.

Using technology to communicate is no more a new idea but creating interfaces between computers and the human mind and body is a new innovation in the field of research and it has numerous benefits. Neurological diseases can take away a human’s ability to speak and explain at times it seizes the ability to move, virtual clinical trials and artificial intelligence in such cases can restore these basic experiences and abilities. Thus virtual clinical trials enhance the success of clinical trials in a much shorter time.

To know more about how our virtual clinical trial data analysis solutions can help you identify unexpected patterns and predict treatment responses, request a free solution demo.

clinical trial data analysis

Clinical Trial Data Analysis Engagement Helped a Leading Global Pharma Company to Determine Chance of Disease Relapse – A Quantzig’s Success Story

The client is a leading global pharma company who had conducted clinical trials in partnership with more than 10 different hospitals for patients suffering from melanoma. They approached Quantzig to leverage its clinical trials data analysis expertise to compare the two treatment groups for disease-free interval and survival using advanced statistical analysis techniques.

For companies in the pharmaceutical industry, it is difficult to analyze the vast amounts of raw, unstructured patient data. Clinical trial data analysis requires tested statistical methods that have to be specified with the regulatory authorities before the trial even begins. With nearly 80% of clinical trials failing to meet enrollment timelines, pharmaceutical companies need a more efficient approach to improve their data analysis capability. This is where data analytics tools can help. Clinical trial data analysis done using data analytics tools can help pharmaceutical companies to understand the epidemiology landscape and develop an effective enrollment forecast. This can further help in understanding and analyzing the accuracy of patient data and provide a complete view of the patient journey.

Quantzig’s analytics experts help pharmaceutical companies to optimize strategic clinical processes by combining data, analytics and technology. Get in touch with them to know more.

Business Challenge

The client, a global pharma company, conducted clinical trials for patients who were operated and were on medication therapy A or B for more than 2 years. Throughout the trial, the patient’s status, laboratory parameters, vital signs, skin examinations, and other parameters were constantly monitored and tracked to achieve the following goals:

  • Identify the recurrence rate of the disease
  • Analyze factors impacting survival rate

Despite employing quality control measures to analyze the completeness and accuracy of patient data,  the pharma client was not satisfied with the outcomes.. They wanted to compare the two treatment groups for disease-free interval and survival using clinical trial data analysis techniques, for which they approached Quantzig.

Our clinical trial data analysis solutions help companies to analyze performance with access to critical trial data in real-time. Request a FREE proposal to gain in-depth insights into our portfolio of analytics solutions.

Solution Offered and Value Delivered

Quantzig’s analytics experts adopted a comprehensive approach comprising three phases to help the client tackle their core business challenges. The first phase revolved around understanding the business scope and objective of the analysis through multiple discussions with the client. During the second phase of the clinical trial data analysis engagement, our experts collected and integrated disparate sets of patient data and created basic data quality reports based on an in-depth clinical trial data analysis. The third and the final phase of this engagement revolved around designing parametric hazard models, and life tables to analyze survival rate and the recurrence rate of the disease in different groups. Also, they conducted a survival analysis for each treatment group and compared the survival curve with the log test rank.

Quantzig’s analytics solutions help pharma companies to access all their trial data in real-time via an intuitive, role-based dashboard that helped them to visualize performance metrics. Request a Free demo to know more.

The solution offered helped the client to gain valuable insights into adverse events, patient characteristics, and segments level. Also, the client was able to improve their patient data quality check mechanism by highlighting current inefficiencies in the data entry process.

CLINICAL TRIALS DATA ANALYSIS ENGAGEMENTQuantzig’s clinical trial data analysis engagement helped the client to:

  • Reduce the risk of multiple surgeries
  • Predict the optimal therapy line as well as medication-based on model results
  • Evaluate the effectiveness of the prescribed medication

To know how our analytics solutions can help you identify unexpected or novel patterns and predict treatment responses and patient behavior, request more information below.

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