scholarly journals Understanding the Difference Between Healthcare Informatics and Healthcare Data Analytics in the Present State of Health Care Management

2020 ◽  
Vol 7 ◽  
pp. 233339282095266
Author(s):  
Thomas Wan ◽  
Varadraj Gurupur

The purpose of this article is to perform a scientific analysis of the definitions associated with healthcare informatics and healthcare data analytics. Additionally, the authors attempt to redefine the scientific pursuit of healthcare informatics and healthcare data analytics. This commentary can assist the thinking of informaticians and data analysts working in healthcare management and practice. The authors also provide a brief insight on the possible future direction of informatics and analytics associated with healthcare.

:Today’s technological advancements facilitated the researcher in collecting and organizing various forms of healthcare data. Data is an integral part of health care analytics. Drug discovery for clinical data analytics forms an important breakthrough work in terms of computational approaches in health care systems. On the other hand, healthcare analysis provides better value for money. The health care data management is very challenging as 80% of the data is unstructured as it includes handwritten documents, images; computer-generated clinical reports such as MRI, ECG, city scan, etc. The paper aims at providing a summary of work carried out by scientists and researchers who worked in health care domains. More precisely the work focuses on clinical data analysis for the period 2013 to 2019. The organization of the work carried out is specifically with concerned to data sets, Techniques, and Methods used, Tools adopted, Key Findings in clinical data analysis. The overall objective is to identify the current challenges, trends, and gaps in clinical data analysis. The pathway of the work is focused on carrying out on the bibliometric survey and summarization of the key findings in a novel way.


2022 ◽  
Vol 10 (1) ◽  
pp. 0-0

Innovations in computer technologies have revolutionized attention in recent years. Data analytics has emerged as a promising tool for determination problems in various health care connected disciplines. The effective utilization of knowledge mining in deeply noticeable fields like e-business, promoting and retail has prompted application in completely different businesses and divisions. Among these components merely finding is the medical services. Medical services organizations can reduce down on medical services expense and furnish better consideration with the help of predictive analysis. Enormous information likewise helps in diminishing medicine mistakes by improving budgetary and regulatory execution, and decrease readmission. The paper aims at systematic collection of patient-related healthcare data ,analyse through Microsoft Power BI after some transformations of data and determine major disciplines to improve the patient engagement, health system management, diagnosis and cost reduction.


2021 ◽  
Vol 21 (1) ◽  
pp. 39-48
Author(s):  
Marta Wójcik

The article compares the state of health care in selected thematic areas in voivodeships. It focuses on 2 main aspects, such as: health care expenses and the number of specialists. The analysis was carried out on data from 2018-2019. Its aim was to group voivodships according to selected variables regarding the state of health care. Their geographical location and demography were analyzed. The difference between the state of health care in urban and rural areas was featured.


Author(s):  
Abhishek Bajpai ◽  
Dr. Sanjiv Sharma

As the Volume of the data produced is increasing day by day in our society, the exploration of big data in healthcare is increasing at an unprecedented rate. Now days, Big data is very popular buzzword concept in the various areas. This paper provide an effort is made to established that even the healthcare industries are stepping into big data pool to take all advantages from its various advanced tools and technologies. This paper provides the review of various research disciplines made in health care realm using big data approaches and methodologies. Big data methodologies can be used for the healthcare data analytics (which consist 4 V’s) which provide the better decision to accelerate the business profit and customer affection, acquire a better understanding of market behaviours and trends and to provide E-Health services using Digital imaging and communication in Medicine (DICOM).Big data Techniques like Map Reduce, Machine learning can be applied to develop system for early diagnosis of disease, i.e. analysis of the chronic disease like- heart disease, diabetes and stroke. The analysis on the data is performed using big data analytics framework Hadoop. Hadoop framework is used to process large data sets Further the paper present the various Big data tools , challenges and opportunities and various hurdles followed by the conclusion.                                      


2019 ◽  
Vol 28 ◽  
Author(s):  
Denise Elvira Pires de Pires ◽  
Lara Vandresen ◽  
Francele Machado ◽  
Rosani Ramos Machado ◽  
Felipa Rafaela Amadigi

ABSTRACT Objective: to identify what is discussed in studies published in Brazilian and international literature in the last ten years on Primary Health Care management. Method: an integrative review with a search carried out from 2006 to 2016, in the SciELO®, LILACS®, Scopus®, PubMed® and CINAHL® databases in the Portuguese, English and Spanish languages. The review followed the steps: formulation of the research question, definition of the inclusion and exclusion criteria, identification and selection of the studies, and summary of the subjects found in the studies. Resources from The Atlas.ti® software was used for data organization and analysis. Results: the corpus include 90 studies which predominantly originated from LILACS® and were performed in Brazil. The themes covered in the publications were: health policy and management in Primary Health Care, material resources management, human resources management, financial management, quality management, planning, characterization of managers, management role/ activities, challenges/difficulties in management, potentialities/facilities in management. There was a prevalence of studies that dealt with Primary Health Care management in the context of reflections on health policies and those dealing with the challenges/difficulties faced in Primary Health Care management. These findings demonstrate that the Primary Health Care model is complex and challenging, both for policymakers and for those managing it. Conclusion: the number of studies on Primary Health Care management is significant in the current literature and the predominance of health policy and difficulties in performing management issues reinforce the recognition of the centrality of the management for effective Primary Health Care.


Author(s):  
Jeptha W. Dalston ◽  
Lawrence D. Prybil ◽  
Howard Berman ◽  
John S. Lloyd

Recognizing the considerable changes occurring over recent years in health care, the Accrediting Commission on Education for Health Services Administration (ACEHSA) sought to remake itself to become a more vital participant in the field. This article reports the rationale, objectives, and process pursued by ACEHSA as it underwent this transformation and adopted a new name: Commission on Accreditation of Healthcare Management Education (CAHME). This paper features the planning document adopted to lead CAHME through the future. It also highlights actions taken to date and subsequent steps planned.


Author(s):  
William J. Litchy ◽  
Mark A. Matthias ◽  
Kurtis M. Hoppe ◽  
Kyle J. Kircher

Health care financing and health care management in the United States have been intricately intertwined in their evolution and have been dependent on technology, on public and private policy and funding, and the needs of employers and employees. Virtually all major changes in health care management in the United States have occurred in the last century. Little has changed over the decades; the cost of health care today is still only one-third the estimated cost of absenteeism and presenteeism in the workplace. The difference is that the individual's burden in many cases is now carried by employers and by state and federal governments. Movement toward other reimbursement mechanisms for health care was advanced as medical technology improved and health care costs increased.


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