Metaadata In Health Care

Health information is a fundamental piece of data which represents a person, business, organization, or a community. This data is vital in monitoring and coordination of care for individuals and communities. It not only monitors and coordinates patient care, but reduces costly mistakes and prevent duplication of treatments as well as taking a pivotal role in preserving, securing, and protecting personal health information. Since, this information is extremely essential and sensitive, it must remain secure and safe to prevent frauds and cyber-attacks. First of all, this paper discusses vitality of the health information in regards to individuals, professionals, and organizations along with its benefits to improve overall quality of life. Secondly, it discusses the role of information technology in various aspects of the industry and the what the future holds within IT.

Healthcare systems are highly complex, fragmented, and use multiple information technology systems and vendors who incorporate different standards resulting in inefficiency, waste, and medical errors (Healthinformatics, 2016). A patient 's medical information often gets trapped in silos, which prevents information from being shared with members of the healthcare community (Healthinformatics, 2016). With increasing healthcare costs, a system needed to be created that would lead to the development and nationwide implementation of an interoperable health information technology system to improve the quality and efficiency of healthcare. Introducing the National Health Information Network (NHIN), this organization can be defined as a set of

Cloud computing-based medical records management is making it possible for hospitals and treatment centers to have a single, unified system of record for their current and past patient population (Corredor, Martínez, Familiar, 2011). This has drastically reduced duplication of records management systems, minimized reporting and billing errors, and created a highly effective platform for patient-based analytics (Martin, Yen, Tan, 2002). The insights and intelligence gained from the analytics driven from patient systems is also making it possible for healthcare providers to better redefine process workflows, making hospital operations more cost-effective. The combining of cloud computing platforms and telemedicine is streamlining the treatment plans for

Having a reliable and speedy electronic billing system like MedBook can help reduce the complexity of medical billing and the headaches associated with rejected claims. Moreover, the billing system can also be used to help detect fraudulent practices. MedBook is a cloud solution that provides patients (suffering from diseases) health care professionals (like doctor, nurse, hospital staff), and health care payers (insurance providers) a platform for exchange of information about billing activities, benefit inquiries, and EHR. With MedBook physicians can access information about the status of their medical claims, and submit information that becomes part of the patient’s EHR. Patients can be notified about the approval of medical procedures,

Additionally, technology has advance to where the health information system data analysis has changed the paper managed patient files are transferred to electronic medical records. “Gerald Banks reports the retrieval and analysis of medical records allows health care providers and facilities immediate access to vital patient and demographic information. The various data retrieval and analysis functions affect every aspect of the health care system, from patient intake and diagnosis to treatment regimens and billing procedures. Other entities outside the health care facility, from insurance adjusters to pharmacists, often also require the ability to retrieve patient data and analyze it for their own purposes.” The opportunities that is provided

Unlike the past, where healthcare data has been mostly static, providers, patients, and payers are now relying on real-time analytics to revolutionize healthcare. Through the combination of traditional data with new forms of data, we have entered into an era of open information in the healthcare industry. Stakeholders now have access to new knowledge and information, which has the potential to significantly improve the quality of healthcare delivery, as well as support new research and discoveries. From a historical perspective, the healthcare industry has accumulated a significant amount of data through patient care, record keeping, and compliance and regulatory requirements. This massive amount of complex and diverse data is now known as

It is imperative to have quality and accurate data that must be validated in order for health care providers to provide quality care for their patients. Accurate data can be impeded or compromised by As a result, not excessive data, measurement instruments are erroneous, “imprecision in terminology, illegibility and inaccessibility of records, and other opportunities for misinterpretation of data.” “..Use of faulty data can have serious adverse effects on patient-care decisions” (Musen, Middleton, & Greenes, 2014). Physicians must have current knowledge otherwise they can inadvertently harm a patient. Systems must not have redundant data and it must also be consistent so that all physicians see the same data in EHRs and thus provide the appropriate care to patients.

A poor quality health care data will affect the quality of health care, increase costs and inefficiencies, creates liability risks, undermines the reliability and benefits of information technology (IT) investment, and will introduce privacy and security concerns. Through data analysis, these negative effects can be prevented. Analyzing health care data and information is important in order to have high health care data and effective health care information system. Making sure that the data is of high quality is one of the main objectives of data analysis. Analyzing health care data has the

New technologies are changing the healthcare by incorporating into the existing infrastructure. Paper-based patient records are converting to electronic format, from this patients can get an access to their record. Even by placing a specialized sensor in patients home make monitoring patient much more feasible. Overall this technology makes an improvement on the quality of healthcare. Which also reduce medical errors and healthcare cost. While there are so many advantages of the technology, related privacy and security matters need to be evaluated to make these systems generally acceptable. How an organization protects and gather data is data privacy. Which is basically more about what information is collected and how it is using and transferring. When it comes to healthcare, it becomes much more challenging. Healthcare data such as electronic medical records, medical imaging and healthcare system protecting the privacy of patients’ personal data and securing the IT infrastructure become challenging. Accessing patients’ data is one of the major security threat for the healthcare organizations. Emerging trends of healthcare privacy and security, heightened enforcement and increased forfeits have increased to address the security risk. According to ITRC Breach Report by the Identity Theft Resource Center, in the first three months of 2013 alone,

In this paper I manage the favorable circumstances of distributed computing innovations in human services data frameworks. In the last few years, desires about patient protection data, therapeutic administrations, information maintenance, what 's more social insurance supplier accessibility have climbed significantly. The human services industry is confronting note worthy weights to bring down the expenses connected with giving social insurance, receive new frameworks that backing electronic medicinal records (EMR), and offer information rapidly and safely with other human services and government organizations. Lessening administration time for patient consideration is an alternate

Data mining is the process that companies and businesses use to interpret raw data and turn it into useful information. This is achieved by using software that serves this purpose. Although the term "data mining" is a newer one, the concept has been around for over two decades. This technology allows users, healthcare businesses and the like, to analyze data from many angles in order to categorize it and summarize key identifiable information. This has become especially important in the healthcare field, since electronic health records (EHRs) have become a standard in patient care. Although it brings some privacy concerns to surface due to the massive amount of patient data shared through the data mining process, it is also seen as a very successful and helpful tool in more ways than one. Like in other businesses, data mining may be used in healthcare to asses and improve satisfaction and to help detect fraud and abuse. For example, when data mining is used to address patient satisfaction, this should help the staff recognize patterns, patient preferences and patient expectations in order to be able to further meet their current and future needs. At the same time, this technology also allows for the establishment of what is considered a normal pattern, like when filing insurance claims. The system would then recognize anything that doesn't fall into these normal patterns and may help reduce fraud and abuse.

To successfully implement health information systems, it is important that the health care organizations have access to appropriate IT staff and resources to support the new systems and system users. IT staff perform several common functions and have several common roles. In large organizations, the IT department often has a management team comprising the chief information officer, chief technology officer, chief security officer, and chief medical information officer, who provide leadership to ensure that the organization fulfills its IT strategies and goals (Wager, Lee, & Glaser, 2010, p. 434). Health information systems’ leaders understand that predicting gaps and promoting parities in an effort to reduce data security risks, costs, and liabilities can only lead to long-term profitability. The aims of this paper are to discuss five health information system’s leaders and their roles; to examine the stake holders health information systems’ implementation; to analyze the limitations and opportunities in health information systems’ data analysis, to explain what the literature suggests; and to summarize the impact of predicting gaps and parities on quality improvement as it relates to the situation of my final proposal/project.

The evolution of healthcare informatics all deprive from increased technology that would allow the medical professionals to access needed and patient records and also be able to update, record, revise and better understand patient needs in order to perform and provide excellent customer service or patient satisfaction . Also, given that paper records are so easy to come across, being able to secure patient privacy records allows the health organization to be more secure as a whole. Mailing important information can sometimes take up to a week for the receiver to get the information, but with health informatics with just a click of a button, information is transferred and received. Before the

The results of data analytics may be used to identify areas of key risk, fraud, errors or misuse; improve business efficiencies; verify process effectiveness; and influence business decisions. The success of data analytics cannot be achieved if it isn’t aligned to the company’s business objectives, if risk is not properly managed, or the overall process is not planned, designed, implemented, tested and governed effectively. When implementing data analytics, organizational leaders must consider how they can maximize ROI, how it complies with project budgets, how they can manage false positives, and how to ensure the protection and confidentiality of their data sources and results. The process of securing high-quality data can become overwhelming, costly and time consuming. Another issue that makes data analytics time consuming is being able to find useful data, access it and understand how it affects your business. The healthcare industry is flooded with information from numerous sources. This information is spread among hospitals, primary care providers, researchers, health insurers, and state and federal governments, etc. This is where IT reliability and efficiency comes into play. Management and analysts need to be able to rely on the availability, accuracy, accessibility,

An important area for growth in the health sector over the past few decades has been the adoption of Electronic Health Records (EHRs) aimed at improving patient outcomes and enhancing hospital efficiency. Historically, hospital data has been stored in hard copy format, however, with EHRs the availability data from various sources becomes widely available. And in this digital age, data is integral to our healthcare as it likely holds the promise of supporting a wide range of medical and healthcare functions.