Benefits Of Data Mining In Healthcare

There is no doubt in that technology has multifaceted benefits but, at the same time, it has forced mankind to feel insecure. Every industry depends upon the data of the customers and the health industry is no more an exception here. The data of each patient is shared to facilitate health itself and for more rigorous and authentic research. Hence, protecting patient data is very important. It is so important that in 1996, the federal government introduced the Health Insurance

Some health institutions believe that all the patients have the powers to control the use of their records and before any file is accessed, the patient must be consulted by the personnel responsible. To others, however, some of the patients may not know the needs of the health industry, and therefore, at least 200 people can be allowed to access their records. According to this group, the only way to improve the patient’s privacy is by reducing the number of people who access the records. Thus, despite the fact that digital files save on cost and time, there is need to focus on some of the issues affecting the privacy of records in the health sector. Therefore, as much as the current law allows sharing of patient information during payments and treatment, caution must be taken to reduce data mining and marketing using the same

Imagine, that you come back from a hard day’s work. You put on your favorite grey sweats with a cozy sweater. Soon after, you get a cup of hot chocolate with marshmallows. Then you lean back on the sofa, turn on the television and change the channel to the local news. Breaking news with bright red letters are plastered across the screen. The news anchor goes on explaining that an employee at the local hospital accidentally donated data of patients. This means that patient’s social security numbers, addresses, medical records, and other personal information, were given away without patients’ permission or consent. At that moment you realize that all your personal information is out there for everyone to see and use; and there is nothing you can do about it. The collection of personal information is called data mining, and is collected through large online databases. The real question is that data mining violating our privacy and rights? Why are companies still collecting our personal information without our consent and how can we protect ourselves from breaches? Data mining should be limited in the United States and needs to undergo more appropriate privacy and security policies to protect citizens privacy.

To assess the quality of health care it is providing Quality healthcare depends on the availability of condition data. Poor documentation, imprecise statistics, and insufficient communication can result in errors and adverse incidents. Inaccurate data intimidate patient well-being and can lead to expand costs, inefficiencies, and poor presentation. Further, mistaken or incomplete data also discourage health information exchange and obstruct clinical research, production development, and quality initiatives. The impact of poor data on care is only increased by the implementation. A consequential electronic health record ameliorates the capability for healthcare providers to enact evidence-based comprehension management and decision making for

An additional component of healthcare is data. This is important because this allows health professionals to gather and analyze information to complete the task at hand the best way possible. This would allow doctors and nurses to be able to treat patients the most efficient way while trying to keep cost relatively low at the same time. Moreover, if the health

Privacy of health information has become an area of emphasis across the healthcare industry. It is important to understand what data is protected under federal regulations, how it can be shared, and how to prevent any accidental exposure of protected data. It is possible that data that should be protected can be exposed without anyone even realizing a violation has occurred. Exposure of protected healthcare data can result in medical identity theft and is therefore a very important and hot topic. The security and privacy of healthcare data is necessary to ensure consumer confidence in the healthcare industry and to prevent medical identity theft.

With the increase in information technology, it has allowed data to be accessed almost anywhere in the world. Gone are the old ways of looking at data such as going to a data resource centers. In the medical world, Health information technology (HIT) open up vast new opportunities to physicians and medical care providers all over the world. The introduction of Electronic health records (EHR) allows healthcare providers to record patient data digitally and can assist in health care delivery. With EHR being readily available, they can increase the health and span of an individual’s lifetime regardless of socioeconomic status. When looking at American health care, the OECD has the US as one of the worst developed health care systems and a large part of it is due to our health information technology. Health care

It’s a value care for U.S patient population. Back to the digital health care prediction, Dr. Brown indicated that the vast amount of untapped data could have a great impact on health that exists outside of medical systems. However, there were challenges when it came to collecting healthcare data. First, the unstructured big data which presents in medical literature. How do we know which one to read? Second, a data associated with a single patient in an electronic medical record (EMR). An electronic medical record came with a structured data and an unstructured data. There was a question about the HIPPA regulation, and Dr. Brown assured that IBM adhered to the regulation completely. All these pooled data were placed in the Watson Cloud that aggregated the data together to perform different analytics. It’s all automated system. Then, IBM acquired Truvan that tracked insurance and reimbursement data and enabled to see overall

It is utmost importance to determine which is the correct way to solve this problems. First, should we need to maintain our commitment of high quality services? Could be done with less? It we look at the Dartmouth University research ,the study demonstrated that the quality of medical services did not differ in states of the highest economic quintile in comparison with states on the lower end (Forbes, 2012). This means, that instead of reducing the pay rate to doctors, we should limit how the resources are operated. To attend these high costs of medical care, there should be some regulations or clinical pathways. These pathways suggest how a particular illness should be managed, including which tests to perform, which medications to give, how long to wait for symptoms to improve before surgery and so on (Getzen, 2013). Many doctors denigrate such efforts as “cookbook medicine”. Still, there need to be effort in all levels and some sacrifices must be made. The consequences of these efforts can be that the limitation of the physician analysis, because he would need to follow a pathway even if he knows the cause of the illness. Maybe, it would reduce the medical services quality or maybe improve them because of the similitude of treatment among

The key to providing high-quality healthcare is to have a complete depiction of a patient’s health record. Collecting comprehensive patient data is vital in forming a complete picture of a patient’s health record. It can help for improvements, and measures it for the intended use; for cognitive support to help integrate the data; to integrate evidenced-based practice guidelines and research; to build patient portfolios and for physician diagnosis; for continuing education for knowledge and treatments; to involve patients and their families into medical decision making in order to ensure accurate and consistent data; and to generate reliable information. To ensure that there are useful, reliable, and resource-efficient quality data in healthcare,

Data mining health care information is so important, there are so many ways it can be used to the benefit of individuals in general. For example, if physicians are able to compare their patients’ information with thousands of other people information and compare their characteristics and similarities, this type of information to prove vital in caring for their patients (McFarland, 2014). It is also important to understand that computers have the ability to analyze genome and allow physicians the opportunity treat certain diseases by data mining health care information (McFarland, 2014). Data mining heath care information has been used in a lot of positive ways, for one, physicians are able to gather a large amount of patients’ information and then use it to predicts and improve patients’ health, and at the same time reduce the cost of health care (McFarland, 2014). Data mining not only helps healthcare facilities, but also the physicians, other healthcare personnel, insurance companies, and most importantly the patients.

The data associated with the utilization of the Diagnotes Platform have been provided. We intend to critically analyze the data, and establish relationships between different parameters in Diagnotes Platform. The analysis will be directed towards measuring/improving the quality and outcome of patient care which will increase patient’s acceptability toward Diagnotes and indirectly will improve the financial and operational performance of health organizations.Diagnotes, is a software platform that provide common communication platform that connects healthcare providers, physicians and patients in a secured way. Some of the features include HIPAA compliant communication, care coordination, referrals and consult, transitions of care, call center

Aggregate data is compiled from the medical records of multiple patients for the purpose of analytics and comparison. There is no patient level detail involved with aggregate data, but rather, it summarizes a defined element across a group of patients such as diagnosis, average length of stay, or body mass index. These data can be used to compare defined patient populations and track incidences of specific diseases and various health related conditions. It can also be used for strategic planning within an organization, and it provides the organization a means to assess their own performance and quality of patient care. Security is less of a concern with aggregate data, since patient identity is not involved, and the use of electronic health records makes the work of pulling such data relatively streamlined.

Our health care needs an increase in volume, sophistication, and variety; therefore, we need to improve our care provisions in order to keep pace with this growing burden. Biomedical Informatics research helps us to provide a given care in a better and cheaper way, and at the same time, it

Having a single view of the patient and their treatment and recovery plan is invaluable in ascertaining which are the most and least effective tactics in treatment. The 360-degree view of the patient and the many processes supporting them is crucial for increasing the accuracy, effectiveness and performance of treatment programs over time (Blakeman, 1985). Computerized management systems are critical for organizing, analyzing and translating the massive amount of data captured on patients, treatment and recovery processes, and the use of supporting IT systems to optimize patient health and organizational provider performance (Peshek, Cubera, Gleespen, 2010). The ability to aggregate and intelligently use all available data, information, patient-based and process-generated data to deliver higher levels of quality care is possible when computerized management systems are used throughout healthcare organizations.