scholarly journals Erratum: Healthcare quality-improvement and measurement strategies and its challenges ahead

2019 ◽  
Vol 32 (10) ◽  
pp. 722-722
Author(s):  
Usman Iqbal ◽  
Ayesha Humayun ◽  
Yu-Chuan (Jack) Li
Keyword(s):  
Quality Improvement ◽  
Healthcare Quality ◽  
Healthcare Quality Improvement ◽  
Measurement Strategies

scholarly journals Enhancing the healthcare quality improvement storyboard using photovoice

2020 ◽  
Vol 9 (4) ◽  
pp. e001104
Author(s):  
Pamela Mathura ◽  
Miriam Li ◽  
Natalie McMurtry ◽  
Narmin Kassam
Keyword(s):  
Quality Improvement ◽  
Healthcare Quality ◽  
Healthcare Quality Improvement

Finding the best examples of healthcare quality improvement in Sub-Saharan Africa

2010 ◽  
Vol 19 (5) ◽  
pp. 416-419 ◽  
Author(s):  
C. Liu ◽  
J. Babigumira ◽  
A. Chiunda ◽  
A. Katamba ◽  
I. Litvak ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Healthcare Quality ◽  
Sub Saharan Africa ◽  
Healthcare Quality Improvement ◽  
Sub Saharan

Healthcare quality improvement

2019 ◽  
Vol 50 (9) ◽  
pp. 20-25
Author(s):  
Patricia Schroeder ◽  
Lenard L. Parisi ◽  
Rhonda Foster
Keyword(s):  
Quality Improvement ◽  
Healthcare Quality ◽  
Healthcare Quality Improvement

Using informatics to improve healthcare quality

2019 ◽  
Vol 32 (2) ◽  
pp. 425-430
Author(s):  
Ahmed Otokiti
Keyword(s):  
Big Data ◽  
Quality Improvement ◽  
Population Health ◽  
Clinical Decision Making ◽  
Predictive Analytics ◽  
Wide Spectrum ◽  
Healthcare Quality ◽  
Improve Population Health ◽  
Content Type ◽  
Healthcare Quality Improvement

Purpose The purpose of this paper is to provide insights into contemporary challenges associated with applying informatics and big data to healthcare quality improvement. Design/methodology/approach This paper is a narrative literature review. Findings Informatics serve as a bridge between big data and its applications, which include artificial intelligence, predictive analytics and point-of-care clinical decision making. Healthcare investment returns, measured by overall population health, healthcare operation efficiency and quality, are currently considered to be suboptimal. The challenges posed by informatics/big data span a wide spectrum from individual patients to government/regulatory agencies and healthcare providers. Practical implications The paper utilizes informatics and big data to improve population health and healthcare quality improvement. Originality/value Informatics and big data utilization have the potential to improve population health and service quality. This paper discusses the challenges posed by these methods as the author strives to achieve the aims.

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