Σφακιανάκης Αλέξανδρος
ΩτοΡινοΛαρυγγολόγος
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Σάββατο 31 Δεκεμβρίου 2016

Feasibility Study of an Electronic Interface Between Internet-Based Survivorship Care Plans and Electronic Medical Records.

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Feasibility Study of an Electronic Interface Between Internet-Based Survivorship Care Plans and Electronic Medical Records.

J Oncol Pract. 2016 Apr;12(4):e380-7

Authors: Hill-Kayser CE, Jacobs LA, Gabriel P, Palmer SC, Hampshire MK, Vachani C, Edge SB, Metz JM

Abstract
PURPOSE: Survivorship care plans (SCPs) are recommended for all cancer survivors. Myriad barriers to implementation exist. This study was performed to evaluate the feasibility of interface development between an SCP and an electronic medical record (EMR).
METHODS: An information technology application was developed to extract data from the EMR in use at our center (Epic). Data were transferred to autopopulate an Internet-based tool for creation of SCPs (LIVESTRONG Care Plan) that had been previously used for the creation of more than 35,000 plans.
RESULTS: Data (demographic characteristics, surgeries, chemotherapy drugs, radiation site) were extracted from the EMR and transferred to the care plan platform, without transfer of protected health information. Care plans were created and transferred back to the EMR. During clinical testing, SCPs were created by nurse practitioners during scheduled clinic visits for 146 sequential, eligible patients (67% breast cancer, 33% colorectal cancer). All patients received completed care for a single cancer diagnosis at our institution. All data points that were automatically populated were reviewed by practitioners, and missing/blank data fields were populated manually when necessary. Data entered into generated care plans were accurate in 97% of audited cases, and the process of care plan generation could be completed in < 1 minute.
CONCLUSION: This is a feasible solution for the autopopulation of SCPs from the EMR. It represents a future methodology through which widespread implementation of SCPs may be undertaken. Future directions include further clinical testing, assessment of provider-perceived usefulness, and integration into routine clinical care.

PMID: 27006355 [PubMed - indexed for MEDLINE]



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