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Health Information Analysis

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analytics along with the awareness regarding the costs of various drug events. In healthcare industries, data is generated from several sources and collecting this data can help better identify new potentials cures and develop effective drugs in a shorter period of time.
FDA recognizes the potential of mobile applications and how these applications can represent the benefits and risks related to health. It can be useful to use the electronic health records and the patient data from hospitals to build such systems. Science is evolving at a rapid pace and patients and their advocates have a hard time catching up to the most recent developments and consequently are unable to take part in research design. To overcome this, a new initiative is started …show more content…

This year they are expecting submissions from scientists, healthcare providers, manufacturers and many more organizations. The aim of collecting this data is to convert the submissions in a particular format so that the data can be used effectively. FDA also implemented change in policies and programmatic improvements, which include:
• Implementing a clinical trials program
• New policies to include patients preferences in evaluating risks and benefits of medical devices
• Implementing new policies to promote scientific tools

The FDA has responded to the promises and challenges posed by old devices by bringing better performance effective products to market. Genetic testing provides the right treatment to the patients and helps make informed decisions. Health IT authorizes people to manage their own health by using medical applications. FDA conducted its own assessment, like the data analysis in 2010 to find the cause of the decline in the performance of its premarket program. Data analysis helped FDA in identifying underlying root causes of the steady decline. The agency implemented a number of new policies to improve its performance and to adapt new technologies. The performance of FDA's device program has significantly improved and they are making good progress. To check if the devices are safe and protected, FDA made three categories on the basis of …show more content…

Data mining consists of six steps: understanding the domain of the problem, understanding the data itself, preparing the data, data mining, discovering knowledge evaluation and finally using the discovered knowledge e (Krzysztof and Kurgan, 2002).

One of the biggest problems with Data Mining in medicine is that raw heath data is not only very large but also very heterogeneous. The data is assembled from various different sources such as from laboratory results, or conversations with the patients or what the doctors interpret. All this data is important as it related to the patients health and none of it can be ignored. Therefore, one of the biggest obstacles to data mining is the scope and the difficulty of medical data.

Incorrect, inconsistent data, missing data and non-standard data such as different bits of information saved in various dissimilar formats create a major obstacle in data mining. It is difficult to process gigabytes of records and formulate rational decisions. Therefore, stored information becomes less useful if that information is not present in an easily comprehendible format. For example, specialists in the same area of medicine don’t agree on some universal terms that can indicate the status of a patient. Not only are different names being used to describe the same disease but also things get more complicated when different grammatical structures are used to explain the relationship

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We must filter and customize that downloaded data for the health conditions that we primarily try to improve. Once data is customized and filtered properly, it gives us “care gaps”. Those care gaps can be easily closed out by accessing patient’s EMR or by referral. This updated data then gets uploaded back to the healthcare insurance company data set for reporting purpose. Data analytics helps health profession close the care gaps and improv care coordination between

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Many healthcare organizations had to implement an electronic health records system (EHR) to meet certain guidelines set forth by the government. This was a technology that the clinic implemented years ago to meet the needs of the patient, the requirements of the insurance companies, lean processes, and government regulations. This software helped also look for opportunities to treat our patients better and track data for population health. HG Clinic is investing in a new billing system that will allow them to track patient data better and improved billing process. These are just examples of opportunities that the clinic implemented and are continuously evaluating their current software and equipment and looking for opportunities for

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535 Words | 3 Pages

Enhanced IT that supports consumers, payers and providers via analytical tools and resources relieves financial and human capital burdens. Data collection and distribution empowers collaboration and coordination of care, regardless of where a patient receives treatment. End-to-end seamless integration connects facilitates faster registration, efficient referrals and consultations, results sharing and patient

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Annotated Bibliography on Meaningful Use and the Electronic Health Record Nursing Informatics Jennifer J. Carrillo RN Dr. Morse August 7, 2016 Annotated Bibliography on Meaningful Use and the Electronic Health Record In 2004 President Bush addressed the need for healthcare reform through the electronic health record. President Obama further expanded this notion and attached financial incentives to hospitals and providers who became meaningful users of the electronic health record.

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Health informatics describes the use and sharing of information within the healthcare industry with contributions from computer science, mathematics, and psychology. It deals with the resources, devices, and methods required for optimizing the acquisition, storage, retrieval, and use of information in health and biomedicine. Health informatics tools include not only computers but also clinical guidelines, formal medical terminologies, and information and communication systems. Medical informatics, nursing informatics, public health informatics, pharmacy informatics, and translational bioinformatics are sub disciplines that inform health informatics from different disciplinary perspectives. The processes and people of concern or study are the main variables.

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West Encyclopedia (2005) studies show that “The FDA annually regulates over $1 trillion worth of products, which accounts for one-fourth of all consumer spending in the United States.” The FDA protect patients’ rights and safety in clinical trials of new medical products, monitor promotional activities and regulate labeling of packaged foods. The FDA is responsible for monitoring the safety of the nation’s blood supply.

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Pharmaceutical drugs and medical devices are regulated by the Food & Drug Administration (FDA). Before a new drug or medical device enters the market, the manufacturer must complete clinical tests to prove the safety and effectiveness of the product. Those tests are then submitted to the FDA for review. Only when the FDA approves the product can it be placed on the market.

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Regulations and Implementations The Health Insurance Portability and Accountability Act (HIPAA) is legislation passed in 1996 that safeguards the rights of employees and their families as it relates to their health insurance coverage whenever they transition or lose employment (Health IT.gov, 2016). The law required national guidelines and standards be developed concerning electronic health care exchanges as well as identifiers being assigned to providers, health insurance benefits, and employers to be recognized nationally (Health IT.gov, 2016). The Health Information Technology for Economic and Clinical Health (HITECH) Act was implemented in 2009 granting Health and Human Services (HHS) the control over creating programs to enhance efficacy, safety, and overall quality of health care via health information technology (IT) with a focus on privacy and security during electronic health data interfacing (Health IT. gov, 2016).

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Moreover, the American Health Information Management Association exhibits their unique attributes to the health care community by assuming leadership roles in informatics, data analytics, information governance, and consumer education, while creating health intelligence that used to lower costs and improve patient care (AHIMA.org, 2017). Equally important are the organizational alliances that support the goals and functions of the AHIMA. In recent view of the organization’s background, the linkage with other organizations such as 3M, GeBBS, MRO, Oxford HIM, AHIOS, AHRQ, and CDC/ National Center for Health Statistics has aided in the success of AHIMA becoming the prime leader in the health care delivery cycle. Furthermore, these organizational alliances equally benefited from this linkage by sharing research, education, and effective marketing

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Dr. Song, Clinical Decision Support has been defined as a “process for enhancing health-related decisions and actions with pertinent, organized clinical knowledge and patient information to improve healthcare, as well as, healthcare delivery (Campbell & CPHIMS, 2013). Clinical Decision-supporting tools are utilized to manage and support patient care. Healthcare information systems and information-retrieval systems are tools that manage information. There are various programs that provide custom tailored assessments or advice based on sets of patient specific data (Musen, Middleton, & Greenes, 2014, p. 701). Decision tools may follow simple logics (such as algorithms), may be based on decision theory, cost benefit analysis, or may use numerical approaches only as an adjunct to symbolic problem solving (Musen, Middleton, & Greenes, 2014, p. 701).

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Nursing are on the edge of moving beyond the electronic health record to a dynamic clinically intelligent system that can provide the nurse and other professionals with useable evidence-based data at point of care (Nickitas,

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Daily millions of products come into the U.S. and the FDA inspects those products to protect the consumer from biological or radiation materials that pose a threat to lives. Every pharmaceutical company within the U.S. must meet the standards set by the FDA before patenting and selling their drugs. The actual process can take up to several years. Public health is the focus of the FDA and regulations and mandates changes constantly to meet the needs of the American

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In our proposed system, besides basic patient demographics, pre-existing comorbidity data, and medication usage, we will emulate more event categories such as nurse-verified chart events, laboratory tests, and fluid balance records etc. to better assist ICU clinicians in making critical decisions. We are using these event based categories from the MIMIC-II data. Generally, event based categories are also includes the event duration. Since, for making critical decisions these events based categories with event duration are more helpful. For handling this event duration, we are proposing the temporal association rule mining in our proposed system.

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Its determination is to associate patients to their data to improve the capability to generate a simplicity in sharing this data amongst the multiple health facilities patients visit. UPIs engendered by Electron Health Records (EHR) data can be manipulated by other healthcare systems including hospitals, pharmacies, insurance companies, patients, clinical research firms or diagnostic medical devices. These entities allocate data to be encapsulated, assembled, managed and then interconnected together universally. According to the article, Registries for Evaluating Patient Outcomes: A User 's Guide, “PIM has become crucial in order to (1) enable health record document consumers to obtain trusted views of their patient subjects, (2) facilitate data linkage projects, (3) abide by the current regulations concerning patient information–related transparency, privacy, disclosure, handling, and documentation,2 and (4) make the most efficient use of limited health care resources by reducing redundant data collection.” (Gliklich, R. E., & Dreyer, N. A., 2010).

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This helps clinicians make better treatment decisions by providing more continuous data. PHRs have the potential to help analyze an individual’s health profile and identify health threats and improvement opportunities based on an analysis of drug interaction, current best medical practices, gaps in current medical care plans, and identification of medical errors. Patient illnesses can be tracked in conjunction with healthcare providers and early interventions can be promoted upon encountering deviation of health status. A personal health record not only allows you to share information with your care providers but also empowers you to manage your health between visits.

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