Quality Improvement through Intensive Care Registries: The Value of Big Data in Clinical Decision Making
Background: Quality of Intensive care has got more attention in case of the high cost of healthcare and the potential for harm. Poor-quality care causes high cost and quality improvement initiatives in the ICU lead to an improvement in outcomes as well as a decrease in costs. One of the crucial tool...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2019-12-01
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| Series: | Archives of Anesthesia and Critical Care |
| Subjects: | |
| Online Access: | https://aacc.tums.ac.ir/index.php/aacc/article/view/253 |
| _version_ | 1818143234410414080 |
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| author | Ali Sanaei Mohammad Mehdi Sepehri |
| author_facet | Ali Sanaei Mohammad Mehdi Sepehri |
| author_sort | Ali Sanaei |
| collection | DOAJ |
| description | Background: Quality of Intensive care has got more attention in case of the high cost of healthcare and the potential for harm. Poor-quality care causes high cost and quality improvement initiatives in the ICU lead to an improvement in outcomes as well as a decrease in costs. One of the crucial tools that allow physicians and nurses to monitor change in a quality improvement effort is the development of an electronic database for data collection and reporting. The objective of Intensive Care Registries is to create a high-quality registry of patients through a collaboration of academic health centers performing uniform data collection with the purpose of improving the quality and accuracy of healthcare decisions and provide a data-driven clinical decision support system for critical care medicine.
Methods: This article reviews real-world data sources in healthcare and considers registry as the main tool to address health services and outcomes research questions in critical care, and briefly describes objective, inputs and outputs of intensive care registries. As it can be comprehended from library research, the combination of patient clinical care data, quality parameters, and ICU operating costs, integrated into an electronic database, provides a valuable tool for quality improvement and overall efficiency of offered care.
Results: Using Big Data effectively within ICUs for supporting clinical decision making can lead to predict numerous diseases and help to discover new patterns in healthcare. The ability to process multiple high-speed clinical data streams from multiple centers could dramatically improve both healthcare efficiency and patient outcomes.
Conclusion: To gain this goal, developing reliable and standardized health analytics platforms as well as quality improvement processes that translate analytical results into new clinical guidelines, is recommended. |
| first_indexed | 2024-12-11T11:28:26Z |
| format | Article |
| id | doaj.art-6984d6b04e2049aeba6c911fc222e325 |
| institution | Directory Open Access Journal |
| issn | 2423-5849 |
| language | English |
| last_indexed | 2024-12-11T11:28:26Z |
| publishDate | 2019-12-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Archives of Anesthesia and Critical Care |
| spelling | doaj.art-6984d6b04e2049aeba6c911fc222e3252022-12-22T01:08:56ZengTehran University of Medical SciencesArchives of Anesthesia and Critical Care2423-58492019-12-016110.18502/aacc.v6i1.2047Quality Improvement through Intensive Care Registries: The Value of Big Data in Clinical Decision MakingAli Sanaei0Mohammad Mehdi Sepehri1MSc in Industrial Engineering, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, IranProfessor of Healthcare Systems Engineering, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, IranBackground: Quality of Intensive care has got more attention in case of the high cost of healthcare and the potential for harm. Poor-quality care causes high cost and quality improvement initiatives in the ICU lead to an improvement in outcomes as well as a decrease in costs. One of the crucial tools that allow physicians and nurses to monitor change in a quality improvement effort is the development of an electronic database for data collection and reporting. The objective of Intensive Care Registries is to create a high-quality registry of patients through a collaboration of academic health centers performing uniform data collection with the purpose of improving the quality and accuracy of healthcare decisions and provide a data-driven clinical decision support system for critical care medicine. Methods: This article reviews real-world data sources in healthcare and considers registry as the main tool to address health services and outcomes research questions in critical care, and briefly describes objective, inputs and outputs of intensive care registries. As it can be comprehended from library research, the combination of patient clinical care data, quality parameters, and ICU operating costs, integrated into an electronic database, provides a valuable tool for quality improvement and overall efficiency of offered care. Results: Using Big Data effectively within ICUs for supporting clinical decision making can lead to predict numerous diseases and help to discover new patterns in healthcare. The ability to process multiple high-speed clinical data streams from multiple centers could dramatically improve both healthcare efficiency and patient outcomes. Conclusion: To gain this goal, developing reliable and standardized health analytics platforms as well as quality improvement processes that translate analytical results into new clinical guidelines, is recommended.https://aacc.tums.ac.ir/index.php/aacc/article/view/253Intensive careRegistryBig data analyticsQuality improvementDecision support systems |
| spellingShingle | Ali Sanaei Mohammad Mehdi Sepehri Quality Improvement through Intensive Care Registries: The Value of Big Data in Clinical Decision Making Archives of Anesthesia and Critical Care Intensive care Registry Big data analytics Quality improvement Decision support systems |
| title | Quality Improvement through Intensive Care Registries: The Value of Big Data in Clinical Decision Making |
| title_full | Quality Improvement through Intensive Care Registries: The Value of Big Data in Clinical Decision Making |
| title_fullStr | Quality Improvement through Intensive Care Registries: The Value of Big Data in Clinical Decision Making |
| title_full_unstemmed | Quality Improvement through Intensive Care Registries: The Value of Big Data in Clinical Decision Making |
| title_short | Quality Improvement through Intensive Care Registries: The Value of Big Data in Clinical Decision Making |
| title_sort | quality improvement through intensive care registries the value of big data in clinical decision making |
| topic | Intensive care Registry Big data analytics Quality improvement Decision support systems |
| url | https://aacc.tums.ac.ir/index.php/aacc/article/view/253 |
| work_keys_str_mv | AT alisanaei qualityimprovementthroughintensivecareregistriesthevalueofbigdatainclinicaldecisionmaking AT mohammadmehdisepehri qualityimprovementthroughintensivecareregistriesthevalueofbigdatainclinicaldecisionmaking |