Publications by authors named "John Orechia"

Purpose: Siloed electronic medical data limits utility and accessibility. At the Dana-Farber/Boston Children's Cancer and Blood Disorders Center, cross-institutional data were inconsistent and difficult to access. To unify data for clinical operations, administration, and research, we developed the Pediatric Patient Informatics Platform (), an integrated datamart harmonizing multiple source systems across two institutions into a common technology.

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Article Synopsis
  • We're in a genomic era where genomic data is crucial for diagnosing diseases, finding targeted therapies, and assessing risks related to treatments.
  • Despite its importance, combining genomic test results with clinical data for research purposes is still difficult.
  • To address these challenges, a new framework called SPARKS and a tool named OncDRS have been developed, enabling better integration and access to clinical and genomic data, which has already supported over 1500 research queries and 50 studies within a year.
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Results of medical research studies are often contradictory or cannot be reproduced. One reason is that there may not be enough patient subjects available for observation for a long enough time period. Another reason is that patient populations may vary considerably with respect to geographic and demographic boundaries thus limiting how broadly the results apply.

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Background: In this article, we describe the design and implementation of a comprehensive prostate cancer database developed to collect, store, and access clinical, treatment, and outcomes data for research and clinical care.

Patients And Methods: The Prostate Cancer Clinical Research Information System is a relational database. Data are entered from multiple sources, including medical records, institutional laboratory, patient registration, pharmacy systems, and clinician forms.

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