Larkbio has experience in the design and implementation of complex sample and data management systems.
Data has always been an important element of healthcare but it has never been more obvious than today. The hunger for analyzed medical related data to improve delivered care and to better meet quality measures is spurring a revolution in healthcare.
The data deluge also effects medical research to a great extent. Interconnecting genomic data measurements, laboratory results, demographic and lifestyle data is the topic of most leading projects.
Larkbio can handle a wide variety of data. The origin of the data can be almost anything from a simple fitness application on a smartphone to a high security medical laboratory. Our job is to integrate the data and turn it into meaningful and actionable information.
Health and fitness data management
The healthcare industry historically has generated large amounts of data, driven by record keeping, regulatory requirements and patient care. Although most of the data is still stored in hard copy form, there is a strong trend toward digitization of these data. In fact, these massive quantities of data hold the promise of supporting a wide range of medical and healthcare functions, including among others clinical decision support, disease surveillance, and population health management.
Within the global healthcare sector, there were traditionally two major types of digital data: clinical records and health research records. These are usually stored at healthcare providers and research institutions in a largely unstructured format. The proliferation of personal medical sensors, fitness trackers and smartphone applications is adding a new dimension to an already complex data landscape (51 million wearables will be sold in 2015 compared to 17 million in 2014).
The systems developed by Larkbio aggregate this multifaceted data coming from different sources and turn the individual pieces into insights.
High quality and high quantity components (sample and data) need to be managed accurately and efficiently – always considering cost effectiveness, regulatory compliances and tracking requirements.
All our data management systems share the following features:
|Real time data entry and easy access to contents
|Physical data security
|Logical data security
|Advanced search functions
|The wealth of information can be utilized through a complex data filtering system. Results are arranged and displayed in sets and subsets, creating a base for advanced statistical calculations.
|Integrative data analysis
|Combine clinical, demographic, genetic, environmental and lifestyle data to uncover new insights
|Show off your research results
|Effortlessly create reports with graphs, statistics and interactive maps.
Our sample and data management systems use the following modules:
Identify associations between the stored metadata using these techniques:
Present the results of statistical queries with the help of the following tools: