Sqilline Scientific Research Project Flow

Is there a clinical problem you want to solve? Do you have a hypothesis you want to test? Do you want to clarify your research question? This article outlines the essential 6 steps in the Sqilline Scientific Research Project Flow, from idea inception to publication.

  • Identify a clinical problem. Begin by recognizing a clinical issue that requires attention. Consider real-world challenges faced by patients, healthcare providers, payors, pharmaceutical companies, or researchers.
  • Brainstorm potential research ideas. Identify possible problems and pitfalls is key for building a solid foundation. Explore various ways to address the identified problem. Critical and systems thinking are crucial in this phase.
  • Conduct initial literature review. Dive into existing research to understand the context and identify key parameters and gaps. This step helps you build on existing knowledge.
  • Gather relevant data and information. Utilize Sqilline’s Danny Platform to explore relevant deidentified datasets and background information. The platform provides access to diverse curated sets of aggregated, de-identified clinical data.
  • Refine the research focus. Narrow down your scope based on insights from the literature review and Danny Platform. Clearly define the specific area you want to investigate.
  • Formulate a clear research question and develop a hypothesis to test. It is well known in the evidence-based medicine practice that framing the research question is the most important and crucial part of the research integrity. Population, Intervention, Comparison, and Outcome (PICO) is a specialized framework used by most researchers to formulate a research question and to facilitate literature review. Researches adopting PICO elements usually receive higher citation percentages.
  • Plan data analysis methods. Decide on the most appropriate methods for preparing and analyzing deidentified datasets. Ensure robust statistical approaches using Danny Platform.
  • Create a detailed research proposal. Document your research plan, including objectives and methodology. Clearly outline what you intend to achieve and how you’ll do it.
  • Obtain necessary approvals (ethics, funding, etc.). Ensure compliance with ethical guidelines and secure funding if needed.
  • Execute the research plan. Implement your procedures for preparation and analysis of deidentified datasets using Danny Platform.
  • Collect, validate, and analyze data. Gather relevant data and validate available data for analysis. Harmonization of existing data from different sources is crucial in this step. Perform statistical analysis and validate results.
  • Interpret findings and draw conclusions. Based on the data, draw meaningful conclusions.
  • Prepare research papers or reports. Document your findings in a well-structured format, utilizing medical writing expertise. Follow the guidelines of reputable journals.
  • Share results with the scientific community. Disseminate your research through conferences, journals, or other platforms. Contribute to the collective understanding of clinical practices.

Sqilline’s scientific offering allows users to conduct research and analyses on curated sets of aggregated, de-identified data in a variety of disease areas with the objective of creating new clinical knowledge and improving care delivery and patient outcomes. Leveraging our analytics platform Danny Platform, along with our medical expertise and collaboration with the scientific community, we empower researchers from clinical practices, research centers, academia, and other non-profit organizations to formulate robust research questions with a clear focus and purpose. The findings derived could serve as the central assertion or position in future medical publications. We have made significant progress in this regard.

Share this article:

More News & Highlights


Health data as an infrastructure

Health data can be considered a crucial component of healthcare infrastructure, as it forms the basis for decision-making, research, policy development, and patient care within...



Lung Cancer Real-world Evidence Secondary Use of Data: A Non-Interventional Study

Description of clinical study: Non-Interventional Study for Analysis of Molecular Diagnostics and Treatment Patterns in Metastatic Non-Small Cell Lung Cancer Patients (Newly Diagnosed and Relapses...



ChatGPT for Health Data

Desislava Mihaylova founded the company for processing and analyzing Big Data, Sqilline, and a personal tragedy pushed her towards the healthcare sector. The company has...