Literature DB >> 30741180

Insight into Health Care Outcomes for Persons Living with Heart Failure Using Health Data Analytics.

Christo El Morr1, Liane Ginsburg1, Seungree Nam2, Wendy Cheung3, Heather Brien3, Asmaa Maloul3, Nancy Cohen3, Helene La Croix4, Susan Woolard3.   

Abstract

The Integrated Funding Model (IFM) is designed to measure the impact of a bundled model of health care for patients with Congestive Heart Failure (CHF) for a period of 60 days post discharge. CHF is a primary reason for patient admissions. The goal of this study is to gain insight into the effectiveness of the IFM pathway intervention on health care outcomes for persons living with CHF, using Health data Analytics.

Entities:  

Keywords:  Business Intelligence; CHF; Congestive Heart Failure; Data Analytics; Descriptive Analytics; Integrated Funding Model

Mesh:

Year:  2019        PMID: 30741180

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Effectiveness of online mindfulness interventions on medical students' mental health: a systematic review.

Authors:  Vaidehi Yogeswaran; Christo El Morr
Journal:  BMC Public Health       Date:  2021-12-18       Impact factor: 3.295

2.  Monitoring Mental Healthcare Services Using Business Analytics.

Authors:  Samy Housbane; Adil Khoubila; Khaoula Ajbal; Zineb Serhier; Mohamed Agoub; Omar Battas; Mohamed Bennani Othmani
Journal:  Healthc Inform Res       Date:  2020-04-30
  2 in total

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