- Aim: To collect novel data and turn it into evidence -> filling data gaps for your products and generating new messaging potential
- Customized data-collection apps
- Patient data from registries and electronic medical records
- Claims and cost data
- Expert panels and advisory boards
- All data will be analysed to academic standards by experienced data scientists
- Informs: Decisions on market potential, product development, product acquisition, and future studies
Data acquisition & analysis
Data management tools:
Good data management increases efficiency within the workplace and facilitates the appropriate sharing, reuse, and analysis of data. At the same time, data management tools must focus on data security and limit redundancy of data stored.
Coreva Scientific designs bespoke data management tools that can be used for tracking study development or product trials as part of a value-based healthcare or risk-sharing agreement. These agreements only work correctly if outcomes data can be easily and efficiently collected and analyzed during the pre‑evaluation and evaluation period. For example, our tools are used to collect data on patient outcomes and physician interventions during sedation and provide an instant assessment of the relative risk of events with and without the use of the trialed product. Such tools are designed in collaboration with the primary clinical team trialing the product, ensuring that they are comfortable with the data collection tool before the product evaluation begins.
Physician and payer surveys:
Surveys can be conducted face-to-face, on the telephone, or most-commonly over the internet. Face-to-face and telephone surveys collect a relatively limited volume of data and are best suited to understanding thoughts and feelings that act as decision drivers in the market place. Online surveys can target many more respondents more cheaply and are used to quantify the overall market landscape. Such surveys could be used to understand treatment patterns, the cost of adverse events, or which product feature is perceived as providing the most value. With sufficient data, the statistical analysis and insights provided by a survey specifically designed for your research question can be a very powerful driver of product or messaging enhancement, and thus drive product adoption.