An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems.
We describe a clinical research visit scheduling system that can potentially coordinate clinical research visits with patient care visits and increase efficiency at clinical sites where clinical and research activities occur simultaneously. Participatory Design methods were applied to support requir...
| Publicado en: | Journal of Biomedical Informatics Vol. 46; no. 4; pp. 642 - 653 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Aug2013
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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=104082354&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104082354 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: Aug2013 vid: 46 iid: 4 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 104082354 NLM23684593 2012190836 10.1016/j.jbi.2013.05.001 NLM23684593 PMC3716847 104082354 ppf: 642 ppct: 11 formats: tig: atl: An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems. aug: au: Weng, Chunhua Li, Yu Berhe, Solomon Boland, Mary Regina Gao, Junfeng Hruby, Gregory W Steinman, Richard C Lopez-Jimenez, Carlos Busacca, Linda Hripcsak, George Bakken, Suzanne Bigger, J Thomas affil: Department of Biomedical Informatics, Columbia University, New York, NY, United States; The Irving Institute for Clinical and Translational Research, Columbia University, New York, NY, United States. Electronic address: cw2384@columbia.edu. sug: subj: Appointments and Schedules Research, Medical Clinical Trials Health Care Delivery Administration Learning Management Patient Care Algorithms Privacy and Confidentiality Human ab: We describe a clinical research visit scheduling system that can potentially coordinate clinical research visits with patient care visits and increase efficiency at clinical sites where clinical and research activities occur simultaneously. Participatory Design methods were applied to support requirements engineering and to create this software called Integrated Model for Patient Care and Clinical Trials (IMPACT). Using a multi-user constraint satisfaction and resource optimization algorithm, IMPACT automatically synthesizes temporal availability of various research resources and recommends the optimal dates and times for pending research visits. We conducted scenario-based evaluations with 10 clinical research coordinators (CRCs) from diverse clinical research settings to assess the usefulness, feasibility, and user acceptance of IMPACT. We obtained qualitative feedback using semi-structured interviews with the CRCs. Most CRCs acknowledged the usefulness of IMPACT features. Support for collaboration within research teams and interoperability with electronic health records and clinical trial management systems were highly requested features. Overall, IMPACT received satisfactory user acceptance and proves to be potentially useful for a variety of clinical research settings. Our future work includes comparing the effectiveness of IMPACT with that of existing scheduling solutions on the market and conducting field tests to formally assess user adoption. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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