Development of a relational database to capture and merge clinical history with the quantitative results of radionuclide renography.
Unlabelled: Our objective was to design and implement a clinical history database capable of linking to our database of quantitative results from (99m)Tc-mercaptoacetyltriglycine (MAG3) renal scans and export a data summary for physicians or our software decision support system.Methods: For database...
| Publicado en: | Journal of Nuclear Medicine Technology Vol. 40; no. 4; pp. 236 - 244 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Society of Nuclear Medicine
Dec2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=108082826&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 108082826 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00914916 H7Q jtl: Journal of Nuclear Medicine Technology issn: 00914916 maglogo: N pubinfo: dt: Dec2012 vid: 40 iid: 4 pid: 2576 pub: Society of Nuclear Medicine place: Reston, Virginia artinfo: ui: 108082826 NLM23015477 2011789266 10.2967/jnmt.111.101477 NLM23015477 PMC3694765 108082826 ppf: 236 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Development of a relational database to capture and merge clinical history with the quantitative results of radionuclide renography. aug: au: Folks RD Savir-Baruch B Garcia EV Verdes L Taylor AT Folks, Russell D Savir-Baruch, Bital Garcia, Ernest V Verdes, Liudmila Taylor, Andrew T affil: Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA sug: subj: Resource Databases Medical Informatics Methods Radionuclide Angiography Decision Support Techniques Human Image Processing, Computer Assisted Physicians Software ab: Unlabelled: Our objective was to design and implement a clinical history database capable of linking to our database of quantitative results from (99m)Tc-mercaptoacetyltriglycine (MAG3) renal scans and export a data summary for physicians or our software decision support system.Methods: For database development, we used a commercial program. Additional software was developed in Interactive Data Language. MAG3 studies were processed using an in-house enhancement of a commercial program. The relational database has 3 parts: a list of all renal scans (the RENAL database), a set of patients with quantitative processing results (the Q2 database), and a subset of patients from Q2 containing clinical data manually transcribed from the hospital information system (the CLINICAL database). To test interobserver variability, a second physician transcriber reviewed 50 randomly selected patients in the hospital information system and tabulated 2 clinical data items: hydronephrosis and presence of a current stent. The CLINICAL database was developed in stages and contains 342 fields comprising demographic information, clinical history, and findings from up to 11 radiologic procedures. A scripted algorithm is used to reliably match records present in both Q2 and CLINICAL. An Interactive Data Language program then combines data from the 2 databases into an XML (extensible markup language) file for use by the decision support system. A text file is constructed and saved for review by physicians.Results: RENAL contains 2,222 records, Q2 contains 456 records, and CLINICAL contains 152 records. The interobserver variability testing found a 95% match between the 2 observers for presence or absence of ureteral stent (κ = 0.52), a 75% match for hydronephrosis based on narrative summaries of hospitalizations and clinical visits (κ = 0.41), and a 92% match for hydronephrosis based on the imaging report (κ = 0.84).Conclusion: We have developed a relational database system to integrate the quantitative results of MAG3 image processing with clinical records obtained from the hospital information system. We also have developed a methodology for formatting clinical history for review by physicians and export to a decision support system. We identified several pitfalls, including the fact that important textual information extracted from the hospital information system by knowledgeable transcribers can show substantial interobserver variation, particularly when record retrieval is based on the narrative clinical records. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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