TY - JOUR
T1 - Development and implementation of an institutional enhanced recovery program data process
AU - Seif, Mohamed A.
AU - Kruse, Brittany C.
AU - Keramati, Cameron A.
AU - Aloia, Thomas A.
AU - Amaku, Ruth A.
AU - Bhavsar, Shreyas
AU - DeCarlo, Kenneth R.
AU - Erfe, Rose Joan D.
AU - Eska, Jarrod S.
AU - Iniesta, Maria D.
AU - Prakash, Laura R.
AU - Zhang, Tao
AU - Gottumukkala, Vijaya
N1 - Publisher Copyright:
© The Author(s) 2022.
PY - 2023/9
Y1 - 2023/9
N2 - Background: With increasing implementation of enhanced recovery programs (ERPs) in clinical practice, standardised data collection and reporting have become critical in addressing the heterogeneity of metrics used for reporting outcomes. Opportunities exist to leverage electronic health record (EHR) systems to collect, analyse, and disseminate ERP data. Objectives: (i) To consolidate relevant ERP variables into a singular data universe; (ii) To create an accessible and intuitive query tool for rapid data retrieval. Method: We reviewed nine established individual team databases to identify common variables to create one standard ERP data dictionary. To address data automation, we used a third-party business intelligence tool to map identified variables within the EHR system, consolidating variables into a single ERP universe. To determine efficacy, we compared times for four experienced research coordinators to use manual, five-universe, and ERP Universe processes to retrieve ERP data for 10 randomly selected surgery patients. Results: The total times to process data variables for all 10 patients for the manual, five universe, and ERP Universe processes were 510, 111, and 76 min, respectively. Shifting from the five-universe or manual process to the ERP Universe resulted in decreases in time of 32% and 85%, respectively. Conclusion: The ERP Universe improves time spent collecting, analysing, and reporting ERP elements without increasing operational costs or interrupting workflow. Implications: Manual data abstraction places significant burden on resources. The creation of a singular instrument dedicated to ERP data abstraction greatly increases the efficiency in which clinicians and supporting staff can query adherence to an ERP protocol.
AB - Background: With increasing implementation of enhanced recovery programs (ERPs) in clinical practice, standardised data collection and reporting have become critical in addressing the heterogeneity of metrics used for reporting outcomes. Opportunities exist to leverage electronic health record (EHR) systems to collect, analyse, and disseminate ERP data. Objectives: (i) To consolidate relevant ERP variables into a singular data universe; (ii) To create an accessible and intuitive query tool for rapid data retrieval. Method: We reviewed nine established individual team databases to identify common variables to create one standard ERP data dictionary. To address data automation, we used a third-party business intelligence tool to map identified variables within the EHR system, consolidating variables into a single ERP universe. To determine efficacy, we compared times for four experienced research coordinators to use manual, five-universe, and ERP Universe processes to retrieve ERP data for 10 randomly selected surgery patients. Results: The total times to process data variables for all 10 patients for the manual, five universe, and ERP Universe processes were 510, 111, and 76 min, respectively. Shifting from the five-universe or manual process to the ERP Universe resulted in decreases in time of 32% and 85%, respectively. Conclusion: The ERP Universe improves time spent collecting, analysing, and reporting ERP elements without increasing operational costs or interrupting workflow. Implications: Manual data abstraction places significant burden on resources. The creation of a singular instrument dedicated to ERP data abstraction greatly increases the efficiency in which clinicians and supporting staff can query adherence to an ERP protocol.
KW - data management
KW - data storage and retrieval
KW - electronic health records
KW - enhanced recovery after surgery
KW - health information management
KW - quality improvement
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U2 - 10.1177/18333583221095139
DO - 10.1177/18333583221095139
M3 - Article
C2 - 35695132
AN - SCOPUS:85131744895
SN - 1833-3583
VL - 52
SP - 151
EP - 156
JO - Health Information Management Journal
JF - Health Information Management Journal
IS - 3
ER -