The Healthcare Industry: Challenges and Opportunities

2018 ◽  
pp. 1-26
Author(s):  
Vincent K. Omachonu
Keyword(s):  
Healthcare Industry ◽  
Challenges And Opportunities

Value-Driven Nonemergent Surgical Care

2018 ◽  
Author(s):  
Julie Ann Sosa ◽  
Peter A Najjar
Keyword(s):  
United States ◽  
Quality Improvement ◽  
Healthcare Costs ◽  
Surgical Care ◽  
The United States ◽  
Healthcare Industry ◽  
Healthcare Expenditures ◽  
Significant Percentage ◽  
Challenges And Opportunities ◽  
Surgical Cost

As healthcare expenditures rise, payers and providers have increasingly recognized the importance of measuring and improving value. Surgical care accounts for a significant percentage of total healthcare expenditures in the United States, and efforts to improve value globally must take into account the unique challenges and opportunities specific to elective surgical care. This situation makes it essential that surgeons have a thorough understanding of surgical value, its measurement, improvement, and incentivization efforts predicated on it. Toward that end, this review (1) explores the fundamental concept of value in healthcare, particularly as applied to surgery, (2) surveys the challenges in measuring surgical cost and quality, (3) describes the framework of value improvement, (4) identifies selected tools to help surgeons improve the value of care provided, and (5) discusses the increasing role that value-based competition is likely to play in the American healthcare industry. This review contains 5 figures, 3 tables, and 56 references. Key Words: healthcare costs, quality improvement, surgery, surgical value, value, value-based competition, value improvement

Value-Driven Nonemergent Surgical Care

2018 ◽  
Author(s):  
Julie Ann Sosa ◽  
Peter A Najjar
Keyword(s):  
United States ◽  
Quality Improvement ◽  
Healthcare Costs ◽  
Surgical Care ◽  
The United States ◽  
Healthcare Industry ◽  
Healthcare Expenditures ◽  
Significant Percentage ◽  
Challenges And Opportunities ◽  
Surgical Cost

As healthcare expenditures rise, payers and providers have increasingly recognized the importance of measuring and improving value. Surgical care accounts for a significant percentage of total healthcare expenditures in the United States, and efforts to improve value globally must take into account the unique challenges and opportunities specific to elective surgical care. This situation makes it essential that surgeons have a thorough understanding of surgical value, its measurement, improvement, and incentivization efforts predicated on it. Toward that end, this review (1) explores the fundamental concept of value in healthcare, particularly as applied to surgery, (2) surveys the challenges in measuring surgical cost and quality, (3) describes the framework of value improvement, (4) identifies selected tools to help surgeons improve the value of care provided, and (5) discusses the increasing role that value-based competition is likely to play in the American healthcare industry. This review contains 5 figures, 3 tables, and 56 references. Key Words: healthcare costs, quality improvement, surgery, surgical value, value, value-based competition, value improvement

Value-Driven Nonemergent Surgical Care

2018 ◽  
Author(s):  
Julie Ann Sosa ◽  
Peter A Najjar
Keyword(s):  
United States ◽  
Quality Improvement ◽  
Healthcare Costs ◽  
Surgical Care ◽  
The United States ◽  
Healthcare Industry ◽  
Healthcare Expenditures ◽  
Significant Percentage ◽  
Challenges And Opportunities ◽  
Surgical Cost

As healthcare expenditures rise, payers and providers have increasingly recognized the importance of measuring and improving value. Surgical care accounts for a significant percentage of total healthcare expenditures in the United States, and efforts to improve value globally must take into account the unique challenges and opportunities specific to elective surgical care. This situation makes it essential that surgeons have a thorough understanding of surgical value, its measurement, improvement, and incentivization efforts predicated on it. Toward that end, this review (1) explores the fundamental concept of value in healthcare, particularly as applied to surgery, (2) surveys the challenges in measuring surgical cost and quality, (3) describes the framework of value improvement, (4) identifies selected tools to help surgeons improve the value of care provided, and (5) discusses the increasing role that value-based competition is likely to play in the American healthcare industry. This review contains 5 figures, 3 tables, and 56 references. Key Words: healthcare costs, quality improvement, surgery, surgical value, value, value-based competition, value improvement

scholarly journals Overview study on challenges of additive manufacturing for a healthcare application

2021 ◽  
Vol 1201 (1) ◽  
pp. 012041
Author(s):  
Y W Adugna ◽  
A D Akessa ◽  
H G Lemu
Keyword(s):  
Additive Manufacturing ◽  
State Of The Art ◽  
Design Team ◽  
Healthcare Industry ◽  
Research Needs ◽  
Healthcare Applications ◽  
Practical Applications ◽  
Current State ◽  
Challenges And Opportunities ◽  
Healthcare Application

Abstract Additive manufacturing is a rapidly evolving manufacturing technology bringing numerous and wide opportunities for the design team involved in the process by creating intricate and customized products with saving labor, time, and other expenses. Innovative AM methods and numerous practical applications in aerospace, automotive, medical, energy, and other industries have been developed and commercialized through extensive research over the last two decades. One embraced industry among others that benefited from the advances of AM is the healthcare industry. This paper focuses on addressing the challenges and opportunities in Additive manufacturing for healthcare. Although there are advanced possibilities in AM, there are also numerous issues needed to be overcome. The paper is based upon the current state-of-the-art review and study visits. The purpose of this work has been to identify the opportunities and limitations associated with additive manufacturing in healthcare applications and to highlight the identified research needs.

scholarly journals Automated Machine Learning for Healthcare and Clinical Notes Analysis

Computers ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 24
Author(s):  
Akram Mustafa ◽  
Mostafa Rahimi Azghadi
Keyword(s):  
Machine Learning ◽  
Positive Impact ◽  
Research Area ◽  
Future Research ◽  
Healthcare Industry ◽  
Healthcare Applications ◽  
Seamless Integration ◽  
Clinical Notes ◽  
Challenges And Opportunities ◽  
Automated Machine Learning

Machine learning (ML) has been slowly entering every aspect of our lives and its positive impact has been astonishing. To accelerate embedding ML in more applications and incorporating it in real-world scenarios, automated machine learning (AutoML) is emerging. The main purpose of AutoML is to provide seamless integration of ML in various industries, which will facilitate better outcomes in everyday tasks. In healthcare, AutoML has been already applied to easier settings with structured data such as tabular lab data. However, there is still a need for applying AutoML for interpreting medical text, which is being generated at a tremendous rate. For this to happen, a promising method is AutoML for clinical notes analysis, which is an unexplored research area representing a gap in ML research. The main objective of this paper is to fill this gap and provide a comprehensive survey and analytical study towards AutoML for clinical notes. To that end, we first introduce the AutoML technology and review its various tools and techniques. We then survey the literature of AutoML in the healthcare industry and discuss the developments specific to clinical settings, as well as those using general AutoML tools for healthcare applications. With this background, we then discuss challenges of working with clinical notes and highlight the benefits of developing AutoML for medical notes processing. Next, we survey relevant ML research for clinical notes and analyze the literature and the field of AutoML in the healthcare industry. Furthermore, we propose future research directions and shed light on the challenges and opportunities this emerging field holds. With this, we aim to assist the community with the implementation of an AutoML platform for medical notes, which if realized can revolutionize patient outcomes.

Continuous hydrogenolysis of acetal-stabilized lignin in flow

2021 ◽  
Author(s):  
Wu Lan ◽  
Yuan Peng Du ◽  
Songlan Sun ◽  
Jean Behaghel de Bueren ◽  
Florent Héroguel ◽  
...  
Keyword(s):  
Steady State ◽  
Challenges And Opportunities

We performed a steady state high-yielding depolymerization of soluble acetal-stabilized lignin in flow, which offered a window into challenges and opportunities that will be faced when continuously processing this feedstock.

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