Healthcare & Pharmaceutical Data Scraping

We support a range of file formats as experts in the industry for delivering healthcare-related data. These include CSV, JSON, Excel, XML, API feeds and Cloud Integration (or Platform Integration) based on how you want to access the data. The output schema will match the format of your internal systems so they can be easily integrated into analytics dashboards, CRM systems, business intelligence tools and Enterprise Data Warehouses.

Yes, all of our Healthcare Data Scraping solutions are completely customizable according to your requirements, as they can be based upon different data fields, different geographical areas, update frequency, and the platforms on which the data will reside. The configuration of extraction processes will accommodate both your organization’s operational objectives and any industry-related intelligence objectives.

We provide data in both single (one-off) projects and systems that require data to be continually monitored & tracked. A customer can either request Historical datasets for use on a one-time basis or set up an automated system to monitor the change in price, regulatory or new product development on an ongoing basis.

Yes, we structure and format our data sets so they can be loaded into your Analytics system, CRM system, Compliance system or any other Enterprise database you may use without having to make any changes to the format of the data or due to. Our staff will work with your IT personnel to ensure an easy implementation.

Yes. All raw healthcare data will go through a cleaning, standardization and normalization process which applies a consistent set of taxonomies and naming conventions to each data element. This allows for cross-platform comparisons of the same data element and minimizes manual cleaning required to load the same data element across multiple platforms.

Our dynamic healthcare platforms will utilize cutting edge extraction reports based on libraries that allow for JavaScript page rendering, dynamic content, and interactive dashboards by simulating a real user experience when extracting data from new modern web sites. Our adaptive extraction reports continuously monitor the structural changes of the web site being scraped, enabling us to continue getting the same types of data after any changes in the web site layout, front-end technology, etc. in any/all future releases to that website.

Absolutely! The platform has been architected to allow it to support enterprise-scale workloads on multiple healthcare and pharmaceutical platforms at the same time. The architecture supports previously mentioned distributed extraction methodologies and load-balancing and performance optimization strategies that provide for stability in both high-volume data processing capabilities while maintaining accurate and consistently structured formatting of the data delivered across global healthcare markets.

We have developed a series of standard, formal validation rules that we use to standardize the normalization of datasets from multiple sources via schema standardization processes; our monitoring scripts detect structural changes in site content and adjust our workflow processes accordingly. By using version control systems and automated integrity checks, we are able to provide for a reliable and consistent dataset over time and provide a reliable basis for establishing benchmarks or historical trends.

Yes. Our extraction schedules are completely customizable and can be changed as required by evolving business needs, changes in regulations, or changes in the market environment. Companies may elect to increase the frequency of monitoring activities in order to have access to real-time pricing data or regulatory information, while also electing to perform periodic updates on research-related projects in order to maintain alignment between their operations and their business strategy.

Data validation involves the removal of duplicate entries, the standardization of formats, the checking of field consistency and the identification of anomalies through automated processing of extracted health care data through pipelines. Quality assurance processes also ensure that data meets minimum levels of structure (logical completeness) and that it has no errors (logical accuracy) prior to being provided to analytical users. Validation processes improve usability in analytics by reducing manual review time and providing enterprise-level quality in data reliability.

Yes! As far as we are concerned, our methods for scraping healthcare data are in accordance with the requirements of the GDPR. We only scrape information from sources that are publicly accessible; we do not scrape information that is personally identifiable, nor do we scrape patient medical records or any other type of sensitive health information. We take every precaution to ensure that data is processed in accordance with structured governance policies and procedures related to the minimisation of data, in accordance with regulated settings for healthcare.

Yes! The dataset that we extract from our database is stored in our secure environment utilizing both encryption at rest and during transmission. Access control and user authentication as well as database activity monitoring, protect against unauthorized access to your information. Our Enterprise Healthcare and Pharmaceutical Intelligence platform offers confidentiality, data integrity, and operational reliability throughout the life of your implementation.

As part of the user authorization to access Client Datasets through role-based access control, only those roles that have been assigned the proper permissions can use the Client Datasets. This access is based on the operational need of the user in order to minimize the exposure of the information. We also have systems in place for documenting the way the data will be utilized and for tracking all interactions with data which will allow us to hold people accountable for their actions while dealing with healthcare and pharmaceutical data processing workflows in a secure manner.

Our compliance is maintained through the use of structured governance frameworks, internal audit protocols and review processes that ensure our operations and our processes comply with all applicable global regulations. We have developed compliance monitoring systems that ensure the ethical collection of data, fulfilment of contract requirements, and we continually monitor and periodically audit all workflows to maintain compliance and reduce exposure to regulatory risks while preserving compliance integrity throughout the data extraction and delivery cycle for healthcare data.

Yes. Our company’s systems and processes comply with international data protection regulations (e.g., the General Data Protection Regulation (GDPR)) and other global data protection and privacy regulations. Our systems and processes utilize encryption, access controls, audit mechanisms, and properly configure governance of data to ensure the safe and secure use of enterprise healthcare data.