HOW CAN WE HELP YOU? Call 1-800-TRY-CHOP
Clinical Reporting Unit
DBHi's Clinical Reporting Unit consists of a unique combination of clinical practitioners, principal investigators, clinical database specialists, and informatics programmers who deliver actionable clinical data to researchers and provide tools for efficient data management. DBHi's faculty and staff are experts at reconciling data capture in the clinical domain with secondary use for research purposes. The group works on behalf of the researcher to:
- The Hospital adopted Epic as the primary ambulatory care information management system and electronic health record (EHR) in 2000, and it has progressively been implemented in specialty areas and inpatient settings. DBHi is one of Epic's most knowledgeable and active user bases and has a highly collaborative relationship with Epic that promotes the exchange of ideas and modifications to address the unique needs of pediatric healthcare.
- Arcus Data Repositories (ADR) is a central place within the Arcus environment where clinical data are de-identified and consolidated from a variety of clinical sources to present a unified view of a single participant for data analysis, sharing and reporting.
- DBHi's Data Reporting group is the Research Institute's primary resource for accessing data contained within the EHR and other relevant data sources as dictated by IRB approved protocols. Their services include a comprehensive review of the study protocol, scope of the IRB approval, translation into a robust query, assessment of anomalies, customized report generation, and interpretation of results.
Contact us for more information on gaining access to services for clinical data reporting.
The Data Reporting group provides common delivery formats based on the research team's abilities in handling data and the intrinsic complexity and volume of data. Some research involves data comprising millions of rows and hundreds of attributes, while other results involve much smaller dimensions but may have some complex data types associated with the results that are not well represented in a n-by-n matrix. Some research teams may have trained data managers or statisticians on staff who can translate more complex data formats into immediately interpretable results. Data formats most often provided as a result of discussions with the research team include:
- XML
- Tab- or comma-delimited text
- Excel spreadsheets
- REDCap databases
- Arcus registries and labs
Contact us for more information on gaining access to services for clinical data reporting.
Generally accrued clinical data archived in an electronic health record is captured in a highly dynamic environment where the focus is decidedly on the health of the patient. Additionally, multiple roles and individuals who contribute to a patient's record may enter data differently even when using best practices and solid data standards. Researchers may not be familiar with these issues, as they may be more familiar with highly structured and inflexible IRB protocol data capture methods. The key to finding and resolving these anomalies before they can negatively affect an hypothesis is to understand how and why these events may occur in a clinical care setting in the context of an ever-evolving enterprise EHR.
The Data Reporting group in DBHi consists of a mix of clinical practitioners and data specialists whose dual knowledge of clinical practice and data modeling help to find and understand anomalies. This multidisciplinary team is capable of resolving issues by iteratively tweaking queries or resetting expectations about what data is available for research purposes. The collaboration between the group and the research team is the most critical aspect of finding and minimizing the effects of these anomalies.
Contact us for more information on gaining access to services for clinical data reporting.
Generally accrued clinical data archived in an electronic health record (EHR) is captured in a highly dynamic environment where the focus is decidedly on the health of the patient. In many cases, individual clinicians or specialty teams may enter data in a way that maximizes the care for the patient, but is not the intended "best use" of the system by the developer, a situation that may result in unintended consequences for secondary use of the data such as for research purposes.
The Data Reporting group in DBHi consists of a mix of clinical practitioners and data specialists whose dual knowledge of clinical practice and data modeling help to find and understand areas where data embedded within a certain set of fields in the EHR may not match the intended use by the researcher. Through a collaborative series of dialogues over the entirety of the project, these potential barriers to the appropriate translation of clinical practice to research result can be minimized or removed altogether.
Contact us for more information on gaining access to services for clinical data reporting.
Leader
