Literature DB >> 11080028

Visual query tool for finding patient cohorts from a clinical data warehouse of the partners HealthCare system

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Abstract

The patient base of the Partners HealthCare System in Boston exceeds 1.8 million. Many of these patients are desirable for participation in research studies. To facilitate their discovery, we developed a data warehouse to contain clinical characteristics of these patients. The data warehouse contains diagnosis and procedures from administrative databases. The patients are indexed across institutions and their demographics provided by an Enterprise Master Patient Indexing service. Characteristics of the diagnoses and procedures such as associated providers, dates of service, inpatient/outpatient status, and other visit-related characteristics are also fed from the administrative systems. The targeted users of this system are research clinician s interested in finding patient cohorts for research studies. Their data requirements were analyzed and have been reported elsewhere. We did not expect the clinicians to become expert users of the system. Tools for querying healthcare data have traditionally been text based, although graphical interfaces have been pursued. In order to support the simple drag and drop visual model, as well as the identification and distribution of the patient data, a three-tier software architecture was developed. The user interface was developed in Visual Basic and distributed as an ActiveX object embedded in an HTML page. The middle layer was developed in Java and Microsoft COM. The queries are represented throughout their lifetime as XML objects, and the Microsoft SQL7 database is queried and managed in standard SQL.

Entities:  

Year:  2000        PMID: 11080028      PMCID: PMC2243863     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  2 in total

1.  Optimizing healthcare research data warehouse design through past COSTAR query analysis.

Authors:  S N Murphy; M M Morgan; G O Barnett; H C Chueh
Journal:  Proc AMIA Symp       Date:  1999

2.  A graphical query generator for clinical research databases.

Authors:  F Banhart; H Klaeren
Journal:  Methods Inf Med       Date:  1995-09       Impact factor: 2.176

  2 in total
  9 in total

1.  Metadata-driven ad hoc query of patient data: meeting the needs of clinical studies.

Authors:  Aniruddha M Deshpande; Cynthia Brandt; Prakash M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2002 Jul-Aug       Impact factor: 4.497

2.  STRIDE--An integrated standards-based translational research informatics platform.

Authors:  Henry J Lowe; Todd A Ferris; Penni M Hernandez; Susan C Weber
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

3.  Using large clinical corpora for query expansion in text-based cohort identification.

Authors:  Dongqing Zhu; Stephen Wu; Ben Carterette; Hongfang Liu
Journal:  J Biomed Inform       Date:  2014-03-26       Impact factor: 6.317

4.  Design and validation of a FHIR-based EHR-driven phenotyping toolbox.

Authors:  Pascal S Brandt; Jennifer A Pacheco; Prakash Adekkanattu; Evan T Sholle; Sajjad Abedian; Daniel J Stone; David M Knaack; Jie Xu; Zhenxing Xu; Yifan Peng; Natalie C Benda; Fei Wang; Yuan Luo; Guoqian Jiang; Jyotishman Pathak; Luke V Rasmussen
Journal:  J Am Med Inform Assoc       Date:  2022-08-16       Impact factor: 7.942

Review 5.  Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.

Authors:  Gregory W Hruby; Konstantina Matsoukas; James J Cimino; Chunhua Weng
Journal:  J Biomed Inform       Date:  2016-03-10       Impact factor: 6.317

6.  Clinical use of an enterprise data warehouse.

Authors:  R Scott Evans; James F Lloyd; Lee A Pierce
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

7.  ACE: the Advanced Cohort Engine for searching longitudinal patient records.

Authors:  Alison Callahan; Vladimir Polony; José D Posada; Juan M Banda; Saurabh Gombar; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

Review 8.  Employing computers for the recruitment into clinical trials: a comprehensive systematic review.

Authors:  Felix Köpcke; Hans-Ulrich Prokosch
Journal:  J Med Internet Res       Date:  2014-07-01       Impact factor: 5.428

9.  Evaluating the informatics for integrating biology and the bedside system for clinical research.

Authors:  Vikrant G Deshmukh; Stéphane M Meystre; Joyce A Mitchell
Journal:  BMC Med Res Methodol       Date:  2009-10-28       Impact factor: 4.615

  9 in total

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