Implementing single source: The STARBRITE proof-of-concept study

被引:54
作者
Kush, Rebecca
Alschuler, Liora
Ruggeri, Roberto
Cassells, Sally
Gupta, Nitin
Bain, Landen
Claise, Karen
Shah, Monica
Nahm, Meredith
机构
[1] Duke Clin Res Inst, Durham, NC 27705 USA
[2] Clin Data Interchange Standargs Consortium, Austin, TX USA
[3] LLC, Alschuler Assoc, E Thetford, VT USA
[4] Lincoln Technol, Wellesley, MA USA
[5] Digital Infuz, Gaithersburg, MD USA
[6] Topsail Technol, Durham, NC USA
[7] Duke Univ, Med Ctr, Durham, NC USA
[8] Columbia Univ, New York, NY USA
[9] Duke Translat Med Inst, Durham, NC 27705 USA
关键词
D O I
10.1197/jamia.M2157
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Objective: Inefficiencies in clinical trial data collection cause delays, increase costs, and may reduce clinician participation in medical research. In this proof-of-concept study, we examine the feasibility of using point-of-care data capture for both the medical record and clinical research in the setting of a working clinical trial. We hypothesized that by doing so, we could increase reuse of patient data, eliminate redundant data entry, and minimize disruption to clinic workflow. Design: We developed and used a point-of-care electronic data capture system to record data during patient visits. The standards-based system was used for clinical research and to generate the clinic note for the medical record. The system worked in parallel with data collection procedures already in place for an ongoing multicenter clinical trial. Our system was iteratively designed after analyzing case report forms and clinic notes, and observing clinic workflow patterns and business procedures. Existing data standards from CDISC and HL7 were used for database insertion and clinical document exchange. Results: Our system was successfully integrated into the clinic environment and used in two live test cases without disrupting existing workflow. Analyses performed during system design yielded detailed information on practical issues affecting implementation of systems that automatically extract, store, and reuse healthcare data. Conclusion: Although subject to the limitations of a small feasibility study, our study demonstrates that electronic patient data can be reused for prospective multicenter clinical research and patient care, and demonstrates a need for further development of therapeutic area standards that can facilitate researcher use of healthcare data.
引用
收藏
页码:662 / 673
页数:12
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