000 | 02734nam a22004097a 4500 | ||
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008 | 221018s20222022 xxu||||| |||| 00| 0 eng d | ||
022 | _a1523-3782 | ||
024 | _a10.1007/s11886-022-01767-5 [doi] | ||
024 | _a10.1007/s11886-022-01767-5 [pii] | ||
040 | _aOvid MEDLINE(R) | ||
099 | _a35994196 | ||
245 | _aLeveraging Healthcare System Data to Identify High-Risk Dyslipidemia Patients. [Review] | ||
251 | _aCurrent Cardiology Reports. 2022 Aug 22 | ||
252 | _aCurr Cardiol Rep. 2022 Aug 22 | ||
253 | _aCurrent cardiology reports | ||
260 | _c2022 | ||
260 | _fFY2023 | ||
260 | _p2022 Aug 22 | ||
265 | _saheadofprint | ||
266 | _d2022-10-20 | ||
520 | _aPURPOSE OF REVIEW: While randomized controlled trials have historically served as the gold standard for shaping guideline recommendations, real-world data are increasingly being used to inform clinical decision-making. We describe ways in which healthcare systems are generating real-world data related to dyslipidemia and how these data are being leveraged to improve patient care. | ||
520 | _aRECENT FINDINGS: The electronic medical record has emerged as a major source of clinical data, which alongside claims and pharmacy dispending data is enabling healthcare systems the ability to identify care gaps (underdiagnosis and undertreatment) in patients with dyslipidemia. Availability of this data also allows healthcare systems the ability to test and deliver interventions at the point-of-care. Real-world data possess great potential as a complement to randomized controlled trials. Healthcare systems are uniquely positioned to not only define care gaps and areas of opportunity, but to also to leverage tools (e.g., clinical decision support, case identification) aimed at closing them. Copyright © 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. | ||
546 | _aEnglish | ||
650 | _aIN PROCESS -- NOT YET INDEXED | ||
651 | _aMedStar Washington Hospital Center | ||
656 | _aCardiovascular Disease Fellowship | ||
656 | _aInternal Medicine Residency | ||
656 | _aMedStar Georgetown University Hospital/MedStar Washington Hospital Center | ||
657 | _aJournal Article | ||
657 | _aReview | ||
700 |
_aBigham, Grace _bMGUH _cInternal Medicine Residency _dMD _eResident PGY 2 |
||
700 |
_aGriffith, Nayrana _bMGUH _cInternal Medicine Residency _dMBA, MD _eChief Resident |
||
700 |
_aSajja, Aparna _bMWHC _cCardiovascular Disease Fellowship _dMD _eAlumni |
||
790 | _aBigham G, Gluckman TJ, Griffith N, Sajja A | ||
856 |
_uhttps://dx.doi.org/10.1007/s11886-022-01767-5 _zhttps://dx.doi.org/10.1007/s11886-022-01767-5 |
||
942 |
_cART _dArticle |
||
999 |
_c241 _d241 |