Shots:

• Martin gave a detailed view of the newly launched Honey Analytics module associated with the Trialbee Honey™ platform
• He also talked about the how Trialbee Honey platform will help in the screening and recruiting of patients specifically in remote areas
• The interview gives a profound understanding of how Trialbee is developing real-time monitoring modules to improve clinical research for patients 

Smriti: Give our readers a brief view of the Honey Analytics module. How is this module associated with the Trialbee Honey™ platform?

Martin Kilsgård: Honey Analytics is a real-time monitoring module that is packaged within the Trialbee Honey™ platform. This module enables study teams to monitor recruitment and enrollment efforts in real-time, aggregating end-to-end recruitment and enrollment data into a single, easily digestible dashboard. Honey Analytics offers “status-at-a-glance” metrics and the ability to perform a detailed “drill down” into recruitment and enrollment data. It’s the most efficient way to leverage this kind of data, and since it’s made available to study teams as soon as it’s collected, it eliminates the need to integrate data scattered across multiple systems.

Smriti: Tell us how this Honey Analytics module will provide benefits for clinical research.

Martin Kilsgård: Honey Analytics is a unique and innovative solution that gives study teams the insights needed to avoid common disruptions that are known to derail clinical studies. For example, using the insights provided by Honey Analytics our users can identify bottlenecks early in the study lifecycle, such as unrealistic inclusion/exclusion criteria or poor site selection, allowing for corrective measures to be taken and ultimately keep a given study on schedule and on budget. 

Providing this kind of support is crucial - with an anticipated 50,000 clinical trials requiring 125 million patients over the next five years, there is more pressure than ever for sponsors and CROs to keep research studies on track and bring life saving drugs to market.

Smriti: Can you tell us how Honey Analytics will be easily accessible and user-friendly?

Martin Kilsgård: The data collected in Honey Analytics is curated and displayed in an easily digestible dashboard format. Significant patterns are translated into trackable key performance metrics and graphically presented to the user in real time (e.g. as bar- or pie charts) – enabling a quick overview and status at a glance. Each metric also provides users with the ability to drill down into more detailed data related to selected metrics – providing easy access for further analysis. Additionally, the collected raw data can be extracted in excel format if the user wishes to further analyze the data outside of Honey.

Smriti: Tell us how Trialbee Honey helps in the screening and recruitment of patients.

Martin Kilsgård: Trialbee Honey™ provides enhanced transparency into patient recruitment and allows for convenient communication and engagement between study teams and patients. Using Honey’s centralized, digital infrastructure, recruitment teams can more easily determine which strategies and campaigns are bringing in the best candidates for a given study, as well as which sites are quick to respond. Patient recruitment teams can also distribute resources to the most effective channels and sites in order to optimize enrollment outcomes. As a result, recruitment teams can also improve the diversity representation in their research trials, a factor which has hampered clinical research for decades.

Smriti: How can we connect Trialbee Honey with Telehealth?

Martin Kilsgård: Trialbee Honey includes telehealth capabilities in the form of video calls, phone calls, and 2-way text messaging (SMS & email), enabling digital consultations. The product also supports the use of a digital anamnesis (both a self-reported part and one filled out by a healthcare professional during the consultation) as part of our remote patient evaluation process. All interactions are then logged and tracked in Honey Analytics. Questionnaires can also be sent separately to patients to collect supplementary health-related data. Additional features, like for example remote tracking (heart rate, blood pressure, etc), could easily be integrated due to our API's first technical design.

Smriti: What are your upcoming plans? Are you planning to launch more real-time monitoring modules through your platform?

Martin Kilsgård: Honey Analytics will be continuously extended with additional data to allow for even greater real-time monitoring and enable an adaptive patient recruitment strategy. Near term, our plan is to add key performance metrics for the very top of the recruitment funnel - related to patient outreach. This includes ad source performance (regular mail, TV commercials, social media platforms, physical pamphlets, etc), impressions/click-through rate for digital ads, cost per referral, etc. The first version is planned to be released in early 2023.

For the long term, our aim is to also include feasibility and predictive capabilities to Honey Analytics, based on both internally and externally collected data. This would include features like automated protocol feasibility and study duration/cost predictions.

Source: Canva

About the Author: 

Martin Kilsgård is Head of Product at Trialbee, where he also serves on their executive leadership team. Kilsgård has worked in software development and digital transformation for almost 15 years and has held various leadership positions in digital product management.   Kilsgård holds a Master of Science in Electrical Engineering from Lund’s University (Sweden) and is a certified Product Owner (Scrum Alliance).
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