Making decisions based on instinct alone has never been sufficient. This is certainly true in healthcare. Clinical practitioners require data to make their medical diagnosis, treatment recommendation, and prognosis. A richer set of near-real-time information can greatly help physicians determine the best course of action for their patients, discover new treatment options, and potentially save lives. The Analysis of all the data gathered from healthcare sector or simply the healthcare analytics leads to improvements in quality of the healthcare programs and the ability to create new ones effectively. The possibilities to improve outcomes and contain costs from the analysing big data in healthcare is massive and something that needs to be considered. According to a 2011 report by the McKinsey Global Institute on big data, “If US healthcare were to use big data creatively and effectively to drive efficiency and quality, the sector could create more than $300 billion in value every year. Two-thirds of that would be in the form of reducing US healthcare expenditure by about 8 percent. “Clinical operations and R & D are two large areas where $165 billion and $108 billion is actually spent on unnecessary expenditures and is completely …show more content…
It is important to identify the people who need care and use big data analytics to provide care and help at the earliest. The absolute need of the hour is to identify who is at risk of diseases or conditions like coronary artery disease and who could benefit from extra screenings, programs that are focussed on weight management or smoking termination programs. The efforts to provide care to such people begins by the analysis of multiple sources of data, from claims data to data that is personally provided by the patient at the time of initial health
Unfortunately, the quality of health care in America is flawed. Information technology (IT) offers the potential to address the industry’s most pressing dilemmas: care fragmentation, medical errors, and rising costs. The leading example of this is the electronic health record (EHR). An EHR, as explained by HealthIT.gov (n.d.), is a digital version of a patient’s paper chart. It includes, but is not limited to, medical history, diagnoses, medications, and treatment plans. The EHR, then, serves as a resource that aids clinicians in decision-making by providing comprehensive patient information.
Healthcare is one of the most dynamic industries in our great nation. To truly understand just how dynamic the industry is, one needs to understand that healthcare in and of itself is a living, breathing industry that is ever changing and conforming to meet the ideals set forth from a broad group of stakeholders. When one looks at the evolution that healthcare has undergone in the past 165 years, the picture of the true dynamics of this industry is painted. One must take this evolutional history into account when looking at the next ten years in our industry. When looking at these evolutional processes, one can see that the systems have changed as our country and its people have required it to (Williams & Torrens, 2008). When looking at how this industry will change or evolve over the next decade, one can ascertain that it will be by the demands of those involved that change will come.
“With tens of thousands of patients dying every year from preventable medical errors, it is imperative that we embrace available technologies and drastically improve the way medical records are handled and processed.”
Tan & Payton (2010) describe the electronic health record (EHR), which dates back to the 1950s. These computer-based patient records have evolved into complex systems with many capabilities. They were designed to provide healthcare professionals with a comprehensive picture of a patient’s health status at any time and are meant to automate and streamline the workflow of the healthcare professional (Tan & Payton,
For starters, HCOs must build a foundation that fosters on patient engagement since this is a key success factor in coordinated care. Patients are educated to understand their condition and the steps they should take to help manage it by using an evidence-based care plan (Sawardekar, 2015). This value-based HIT platform follows patients across services provided, the sites where care was given, and the time for the full episode of care, including hospitalization, outpatient visits, testing, physical therapy, and other interventions (Porter & Lee, 2013). With this in mind, the data collected are then aggregated around patients in a given population. Additionally, the terminologies and data fields related to diagnoses, lab values, treatments,
McGonigle and Mastrian (2013) defines data mining as a process of utilizing software to sort through data so as to discover patterns and ascertain or establish relationships. They also state this process may help to discover or uncover previously unidentified relationships among the data in a database. Data mining is very important to healthcare organizations. It can help in ways such as to determine treatment effectiveness, identify problems, decrease costs for the organization, and can even detect possible fraudulent activity. Not only is data mining used in healthcare, but it is also used in other businesses as well. Although data mining is a great asset to healthcare, an informatics nurse has to be very careful due to the lack of a standardized
Various healthcare datasets play different roles in the healthcare sector. With the world working towards organization of information, efficiency and prudent information storage, the data sets are developed to suit the functions that they are designed for. In the healthcare sector, the major data sets are the HEDIS, OASIS and UHDDS. All these data sets work together to ensure that there is an efficient healthcare system that serves all citizens. This paper seeks to analyze each of these data sets in regards to their function, applicability and value added to the healthcare system.
Improving the health care system is only possible through integrating innovative technology solutions into patient care process. The field of health informatics combines the power of information science and data management in order to improve health care organizations. Research shows that the health informatics salary of graduates with master’s degrees averages $66,000 per year.
Evidenced-based clinical practice approaches health care decision making by using the best relevant evidence available from systematic research with the incorporation of the provider’s clinical expertise and the patient’s values and expectations to decide on the most suitable treatment option (Cochrane Collaboration, 2014). However, it is impossible for an individual provider (physician, nurse practitioner, or registered nurse) to be aware of the all of the latest research findings since present knowledge becomes outdated in a short period. Health information technology (HIT) allows health care providers to make the best possible decisions utilizing clinical decision support (CDS), health information and data, results management, and public health management. However, providers use knowledge, understanding, and wisdom when making clinical decision in addition to HIT technology.
Fortunately, the Affordable Care Act of 2014 encompassed the integration of health information system (HIS). That is, the health data assimilated and analyzed framed to identify what determines the price, quantity, and expenditures in health care. Closely linked is health insurance, thus, HIS technology monitors, track and, reports third-party discrepancies according to transactions between health care organizations and the
You may ask what big data analytics is. Well according to SAS, the leading company in business analytics software and services describes big data analytics as “the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions.” As the goal of many companies which is to seek insights into the massive amount of structured, unstructured, and binary data at their disposal to improve business decisions and outcomes, it is evident why big data analytics is a big deal. “Big data differs from traditional data gathering due to that it captures, manages, and processes the data with low-latency. It also one or more of the listed characteristics: high volume, high velocity, or high variety. Big data comes from sensors, devices, video/audio, networks, log files, web, and social media which much of it is generated in real time and in a very large scale.”(IBM) In other words, companies moving towards big data analytics are able to see faster results but it continues to reach exceptional levels moving faster than the average person can maintain.
Big data refers to large datasets that are challenging to store, search, share, visualize, and analyze and so the Testing. Testing of Big Data is one of the toughest since there is a lack of knowledge on what to test and how much to test.Traditional DW testing approach is inadequate due to Technology Changes, Infrastructure (DB/ETL on Cloud) and Big Data.
Artificial intelligence has expanded drastically over the last few years. In healthcare it is especially important since it can assist with patient care and treatment. Artificial intelligence is exactly as it sounds; it is a machine, like a computer, that goes beyond those parallels taking a step further by thinking and predicting what its user would do next. In their paper, Advances in artificial intelligence research in health, Khanna, Sattar and Hansen describe artificial intelligence and its capabilities as “focused on traits of reasoning, knowledge representation, planning, learning, communication, perception and social intelligence, AI has been widely applied to augment the state of the art in Health Informatics” (Khanna, Sattar and Hansen,
To better understand the roles needed to enhance the public health infrastructure; one must first know the purpose of a health informatician. An informatician is a person who studies or work in the field of informatics. According to the American Medical Informatics Association Inc., “Public Health Informatics is the application of informatics in areas of public health, including surveillance, prevention, preparedness, and health promotion. Public health informatics and the related population informatics, work on information and technology issues from the perspective of groups of individuals” (2016). In order to build a solid infrastructure
Technology has revolutionized the medical field, bringing it into the future and saving lives around the world. Better communications from doctors, online medical health records and new life saving technology has increased how quickly a doctor diagnoses patients and the communicative relationship between doctors and patients. Despite others claiming that using technology is dangerous to patient privacy, special has actually made medical technology very secure and safe. It has also increased communication between doctors around the world, helping with difficult diagnoses and finding cures together. Technology within medical practices has enhanced the field due to quicker diagnoses with new software programs, which has helped reduce the spread of rare diseases, as well as given patients and doctors quick access to records and generally has improved the care hospitals can give, as well as its efficiency.