Healthcare professionals and clinical researchers spend a lot of time locating, cleansing, and preparing the right data before they can get to actual analysis. Challenges like missing details, duplicate data, incompatible structure, and poor quality add to the complexities. Our team offers help in the form of verified, clinically-relevant data that can support healthcare research and analysis projects.
We cater to healthcare research companies, health informatics companies, academic researchers, clinical research networks, data vendors, and healthcare providers. We support research and evaluation studies, such as epidemiologic research, policy analysis, performance measurement, cost research, etc., with clean data organized in a database where it can be securely stored, analyzed, and shared.
We help in:
Our healthcare research services are designed to help researchers by building a single source of reliable information with a guarantee of quality.
We help manage healthcare research data according to the regulations mandated by HIPAA, Data Protection Act 2018 (DPA), General Data Protection Regulation (GDPR), The European MDS Registry (EUMDS), IVDR, and HITECH (The Health Information Technology for Economic and Clinical Health Act).
The client (a US-based healthcare research firm) wanted to identify potentially fraudulent providers based on the claims filed by them. Our data experts extracted and assembled each provider's inpatient, outpatient, and beneficiary details from the sources provided. We cleaned the dataset and identified important variables for improved analysis. The client was able to perform quick and thorough analysis using our well-curated datasets.
Our subject matter experts from different disciplines have experience in handling data requirements for a diverse research projects.
We are delighted to have chosen SunTec Data for our healthcare research data project. The team understood the research data complexities we were facing and thoroughly focused on quality-driven support. Will recommend SunTec Data’s team for all forms of data management requirements.
Tracy Baker, Chief Medical Officer, USA
Our healthcare research data management services are tailored to fit diverse clinical research needs. For each service offering, our experts monitor, sort, and cleanse all the data collected, making it easier for researchers to find relevant data when needed.
Data is collected from diverse sources, such as administrative and medical records, insurance databases, patient questionnaires, patient intake forms, consent forms, treatment evaluation and health assessment forms, claims data, surveillance, disease registries, and peer-reviewed literature. After collection, manual data entry is performed for the information to be available in the backend.
Our healthcare research data management experts create, access, and consistently update data. This helps identify potential matches, avoid duplicates, and prevent overlap from the source data. To ensure relevance and accuracy, our experts frequently visit clients’ sources to identify modified data and update the database accordingly. Regular data cleansing, validation of existing dataset entries, and multiple quality checks make the data unique and accurate.
Our data delivery services include various quality assurance practices before it is delivered in the client’s preferred format. Our professionals perform a thorough check to surpass quality parameters and data standard compliances. For a detailed analysis, the database is simplified through transparent metadata addition to the data field.
Data management in clinical research involves various other aspects. Our team handles all those requirements in addition to medical data collection and processing.
With data mining support, healthcare providers can simplify customer relationship management, detect fraud and abuse, determine the effectiveness of treatments, and handle predictive medicine. Our data mining services also help cut costs, efficiently manage Big Data in healthcare, and increase operational efficiency.
Data enrichment is a critical part of data processing in healthcare research. Our data enrichment services help enhance the existing information by adding missing or incomplete data from external data sources. We also manage and update old data using relevant sources with a prime focus on quality.
Our subject matter experts ensure that the clinical data fed into your database is vetted at each stage. Our data cleansing service includes constant validations. We identify inaccurate, incorrectly formatted, duplicate, or incomplete data and return a clean clinical dataset with a faster time-to-value.
We update medical databases with valid data on regular intervals, make sure that every entry is reliable, and maintain overall data quality. Additionally, if required, our team can also create customized lists to help clinical researchers in their analysis.
At SunTec Data, we aim to solve healthcare research complexities with focused medical data collection, cleaning, and processing. We provide customized datasets and create reliable data assets to simplify the job of researchers. Outsourcing healthcare research data management to our team benefits your business in the form of high-quality data support.
Leverage our 20+ years of industry experience to support all your research needs. Spend your time on analysis while our team aggregates rich datasets for you.