Investigations also demonstrated that ED returns occurring shortly after discharge were mainly unscheduled that were highly correlated to diagnostic errors and insufficient care or follow-up, indicating that those revisits may serve as an important target for quality assurance of the medical care. Frequent returns can also be caused by over-estimation of the medical situations unnecessary for ED revisit. The vulnerable population to ED return is therefore of public interest, especially with regard to healthcare beneficiaries concerned with decreasing morbidity and costs, and has encouraged the US government in efforts to prevent avoidable ED mis-use or reuse.Įarlier studies focusing on ED revisits revealed that there are various driving factors for those post-discharge returns, including nature of the disease, medical errors, patient satisfactions, and inadequacy of initial evaluation or treatment. The national prevalent health delivery problem of over-crowded EDs has imposed a highly consistent day-to-day burden on hospital resource utilization, driving the US EDs to a breaking point as described by the Institute of Medicine. 8% of Veterans Health Administration (VHA) patients had ED revisits in 2010, almost equal to those who had single ED visit in the same year. More than 50% of Massachusetts residents endured multiple visits, and that 1% had 5 or more ED visits which construct 18% of all visits in the state. Among the high volume of the ED visits every year, ED return rates are considerable. Between 20, the annual number of US ED visits grew at roughly twice the rate of population increase. The rapid growth of the emergency department (ED) visits in last few years in US demands larger healthcare resources than ever. This does not alter the authors' adherence to all PLOS ONE policies on sharing data and materials. The research and research results are not, in any way, associated with Stanford University. From Stanford University School of Medicine, Stanford, California, AYS, YW, YZ, KGS, and XBL conducted this research as part of a personal outside consulting arrangement with HBI Solutions, Inc. The other authors declare that they have no competing interests. Culver, HIN privacy and security officer ( The authors have no support or funding to report.Ĭompeting interests: KGS, EW, and XBL are co-founders and equity holders of HBI Solutions, Inc., which is currently developing predictive analytics solutions in healthcare. Requests to access data can be sent to: Devore S. Access to the data used in the study requires secure connection to HealthInfoNet servers and should be requested directly to HealthInfoNet. All data analysis and modeling for this manuscript was performed on HealthInfoNet servers and data was accessed via secure connections controlled by HealthInfoNet. HealthInfoNet is responsible for security and access to its members' data and has established data service agreements (DSAs) restricting unnecessary exposure of information. HBI is a subcontractor to HealthInfoNet to develop and implement predictive risk models to be used by HealthInfoNet member providers. The work was performed under a business and development arrangement between HealthInfoNet ( ), the operators of the Maine Health Information Exchange and HBI Solutions, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. Received: JAccepted: OctoPublished: November 13, 2014Ĭopyright: © 2014 Hao et al. PLoS ONE 9(11):Įditor: Francesco Pappalardo, University of Catania, Italy (2014) Risk Prediction of Emergency Department Revisit 30 Days Post Discharge: A Prospective Study. Citation: Hao S, Jin B, Shin AY, Zhao Y, Zhu C, Li Z, et al.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |