The health care industry can and will benefit greatly from big data. As health care professionals look for ways to reduce disease, treat patients, and lower costs, big data will be heavily used to bridge the gaps. Doctors all around the world will be able to enter endless amounts of data and in return, big data can provide valuable statistical information on specific ailments and what factors contributed to development. Once you factor that in with a specific patient, a doctor will be able to make better decisions for the patient and possibly avoid costly medication, procedures, or even the wrong diagnosis (5 ways companies are using big data, 2014). Big data has many advantages. One advantage is the ability to recognize errors and correct them quickly. Not only can it correct them quickly, errors can be prevented in the future. Another advantage is real time fraud detection. It comes down to speed and big data can quickly detect fraud and send alerts so that measures can be taken in real time. Big data can be used to create strategies to deal with your competitors. Big data can analyze your completion and provide a picture of what they are doing in areas like product release, price changes, and location targeting. Big data can analyze customer trends in real time and can look at many areas including advertisements, …show more content…
Machine learning is similar to artificial intelligence and could provide businesses with an incredible tool for producing usable reports and information. IBM is currently developing open Watson and a company called Adatao just received $13 million in funding for development from Andreessen Horowitz. The goal is to provide simple real time querying of large data sets. Adatao also wants to provide the capability to collaborate on available documents that have charts that come from huge data sets (Paul,
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Digitized healthcare can bridge these gaps by leveraging technology to enable remote monitoring, telemedicine, digital health records, and personalized treatment plans, making healthcare more accessible, efficient, and patient-centric. Artificial Intelligence (AI) and Machine Learning (ML) have rapidly emerged as powerful tools in the field of healthcare, transforming the way healthcare providers diagnose, treat, and manage
With the exponential increase in computer network usage and the increasing number of devices getting connected to a network, it is of great importance that they are operated securely. All computer networks suffers from one of many security flaws, the recent “Wannacry Ransomware” took cyber security industry by storm. Though there was a fix for that security loophole, organizations were lazy on applying the security patches, this behaviour of the organization can be because of organizational structure, increasing profitability or in some cases the machine is operating a critical infrastructure. Therefore, Intrusion Detection System’s (IDS) role is becoming important in tackling cyber security.
Answer 1:- As one of the largest e-commerce platforms in the world, Amazon collects vast amounts of data on customer behavior, purchases, and preferences. Here are three different types of analytics that Amazon uses this data for: Predictive analytics: Amazon uses predictive analytics to anticipate what customers may want to buy in the future. By analyzing purchasing behavior and browsing history, Amazon can recommend products to customers that they are likely to purchase based on their past behaviors. This helps Amazon to improve customer experience, increase sales, and retain customers.
I would say the best advantage it gives the consumers is having more options to choose from. When competitors compete, it only makes the consumers the beneficiary. What are its disadvantages? It leads to excessive competition which only leads to financial losses. Some competitors even end up merging just to make up for their significant losses.
What if all medicines you’ve taken, information of every doctor’s visit, operations, and infection could be captured efficiently and accurately? How advantageous would it be if you can have the full history of your health? This is what Blockchain in healthcare industry could do remarkably well. Blockchain is the most important technology since internet, the internet is programmable information whereas Blockchain is Programmable paucity.
WEEK 6, PA 2 Case Study Of Duke University Health System Submitted By: Bipina Shrestha Submitted To: Dr. Nino Abstract The Case study on the Duke University Health System uses a electronic medical records with an analytical tools to treating patients. The whole study shows how the health information technology helps a doctors and patients as well as the hospitals and insurance companies which benefit them to work easily and by reducing the all medical errors and taking the right decision in a right time. It also shows the high volume of data can be more effective but the challenges are also there for which patients should balance them in way. About all of the industries in the world use the information technology according to their
An example of this is Figure D, which shows patients with coronary artery disease, the professional storage tower of cardiology and cardiothoracic surgery, merging together to improve patient education and care (Holmes). Furthermore, in the article Personalized healthcare and business success: can informatics bring us to the promised land? Utilizes a Venn diagram, Figure E, to represent the content of clinical decisions and to show that uncertainties in the components of clinical decisions largely determine which type of clinical work process is in play at a given moment (Ozbolt). The model explains that by reducing uncertainties in clinical decisions, informatics tools can support the appropriate implementation of knowledge and free clinicians to use their creativity where patients require new or unique interventions (Ozbolt). By making excellent care for each patient possible, reducing the "inventory" of little-needed services, and targeting resources to population needs, informatics can offer a route to the "promised land" of adequate resources and high-quality care (Ozbolt).
Abstract— The growth of the idea of business intelligence and analysis has emphasize the significance of the set, combination, processing of data and reporting of fundamental knowledge and how this knowledge can assist to make more suitable business decisions, obtain a better understanding of marketplace behaviors and trends. Great growth of the data has enabled us to uncover the hidden knowledge from data. We can use the Big Data analysis for effective decision making in healthcare domain using the existing machine learning algorithms with some modification to it This paper summarizes the role of Big Data analysis in healthcare and various shortcomings of traditional machine learning algorithms. Keywords— Big Data, knowledge, of Health Informatics,
Over the centuries, machines and computers have performed various tasks and this method seems to be growing exponentially over time. The idea of merging these machineries together with the computational power of computers to act or think in a way humans do, forming computers or machines as intelligent as human beings, has happened for some time. Artificial Intelligence (AI)
De-Identified Personal Health Care System Using Hadoop Dasari Madhavi1, Dr.B.V.Ramana2 1 M.Tech, Department of Information Technology, AITAM, Tekkali, A.P. email@example.com 2 Professor & Head of the Department, Information Technology, AITAM, Tekkali, A.P. firstname.lastname@example.org ABSTRACT Hadoop technology plays a vital role in improving the quality of healthcare by delivering right information to right people at right time and reduces its cost and time. Most properly health care functions like admission, discharge, and transfer patient data maintained in Computer based Patient Records (CPR), Personal Health Information (PHI), and Electronic Health Records (EHR). The use of medical Big Data is increasingly popular
The idea of machine learning is something resulting from this environment. Computers can break down advanced information to discover patterns and laws in ways that is more complex for a human to do. The fundamental thought of machine learning is that a computer can automatically gain from experience (Mitchell, 1997). Although machine learning applications differ, its general function is similar through its applications.
Thus SQL was born. 2. SQL Advantages and Disadvantages: 2.1 Advantages: • Powerful Language: SQL Queries can be used to retrieve large amounts of records from a database quickly and efficiently.  • SQL joins two or more tables and show it as one table to user. • Easy to learn: It is easy to use because it is like the structured English language so it does not need any coding.
Abstract Big data is everywhere. Big data revolution is creating paths to collect and analyze information of varying sizes, types and volume. It’s not only used in sectors like marketing, sales and product development. The potential use of big data is also spread to HR and Finance which help in finding new insights and strategic decision making.