Different Ways Data Mining Health Care Information

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

The American Health Information Management Association continues to lead many health care professionals and 52 component states associations with effective health data management, training, and professional

In recent years, there has been a growing interest in the application of biomedical informatics in many aspects of the healthcare system. This is due to an increasing recognition that a stronger healthcare information system is crucial to achieve a higher quality care at lower costs1. Biomedical informatics is defined as “the scientific field that deals with biomedical data, information and knowledge-their storage, retrieval, and optimal use for problem solving and decision making.”2Biomedical informatics plays significant roles in the healthcare system and it has been applied in various ways in the healthcare system, specifically in the aspect of health care information system such as electronic medical record (EMR), personal health record (PHR), computerized provider order entry (CPOE) systems, bar-coding medication administration systems, telemedicine, telehealth, and administrative information systems 2.

This report outlines how data from EHR can be used towards Meaningful Use (MU), Big Data Analysis, Machine Learning and Advanced Computing for better healthcare decision making process. Will try to understand EHR’s ability to integrate with other systems and tools for data sharing/mining and how this is transforming into better care management. Health Information Technology for Economic and Clinical Health (HITECH) MU EHR incentive program have provided the much needed “push” towards adoption of EHR and resulted into incentivized payment for providers which is contributing towards increased quality, safety and efficiency within health care organizations (HCOs)[1]. Future is now revolving around how EHR can contribute towards latest data driven technological advancements in healthcare and contribute towards better care management with reduced cost.

The preferred format for clinical health information is Health Level Seven (HL7) Clinical Document Architecture (CDA) for both Personal Health Record (PHR) and Electronic Medical Record (EMR). It is XML-based format identifies the encoding, configuration, and semantics of a clinical file. Blue Button+ Direct implementation ensure ease of transmission of medical records to a third party by the health care provider or patient. Direct uses SMTP, S/MIME, and X.509 licenses to maintain security, data reliability, privacy and verification of sender and receiver. Additionally, it meets the requirements for Meaningful Use (MU) Stage 2 of View, Download, and Transmit (VDT) that is required for certified EMR/EHR (Graham-Jones & Panchadsaram, 2013).

With the use of technology at its glance, the use of Informatics in health care systems is improving and benefiting patients, family and the community. Informatics improve research, communication, documentation, diagnosis, education, and preventing of errors in the health care system. The use of paper charting increase errors, loss of documents, which could interrupt patient treatment and safety. Informatics is also useful in keeping patient medical records, track patient treatment, and progress.

Health informatics is the subject concerned with the application of information and communications technologies (ICT) to acquire, process, interpret, store, transmit and retrieve health-related and healthcare data, using the derived information and knowledge in healthcare delivery, education, management and research. This paper discusses in detail an overview of health informatics and its applications. It also discusses some advantages and disadvantages of health informatics, identifies some of the recent trends in the health industry as a result of the adoption and implementation of electronic medical records.

The data stewardship plays a very important role in all health information systems from privacy, security and quality. Each system further enhances data stewardship for patients and healthcare professionals. The data needs to accuracy to be used for clinical diagnosis and research development. This is further the reason why collecting and entering accurate data is key. The health system quality improvement is offer additional crosscheck analysis for data. Health data is not only limited to continuum of care but also clinical trials, surveys and

Clinging our research onto (Ghazisaeedi, Mohammadzadeh, & Safdari, 2014), electronic health records is a digital version of a patients health record or chart. It is unique in its own way since information is readily available and restricted to a number of users hence maximum security. Information in it is confidential since it contains medical reports of patients which include their progress, reaction towards treatment and a record of treated illnesses. Not only does Electronic health records contain the information or date named above but also tests and results taken on patients over certain duration of time. As a result, this helps in correct procedures and work flow in health institutions.

Through the statistical processing of data, healthcare organizations can identify potential relationships among data points and forecast future needs of the facility and its patients. This information can be used to identify key issues, solve problems, and improve patient outcomes through focused and effective care. In order to reap the benefits of healthcare informatics the data used must be of high quality. Data can come from a variety of sources, including clinical, inventory, financial, and

The way we manage health care changes every day. As these changes occur we need to learn how to adapt and harness the rapid growth. Technology has a huge role in the management of health care. “Metadata is used in claims, payments and medical review processes to ensure the authenticity and integrity of records” (Boyle, 2011, n.p). Data analytics uses metadata to process data and it has the power to extract large amounts of information for specific data points. The use of metadata in medical centers will help catalog the data that is collected into one electronic record which will allow health care providers to send and receive patient records securely through computer

Through the organization’s proprietary news and analysis and their authoritative network of contributors, they deliver insightful analysis of technology trends, tools and strategies that are shaping healthcare's future. As healthcare strives to be more accessible, affordable, effective, and efficient, Health Data Management clarifies the industry's regulatory, security and business challenges. Health Data Management engages over 214,000 healthcare IT professionals across all media platforms, across all media. The organization serves businesses, technologies and clinical decision-makers, including chief executive officers, physicians and nurses in leadership roles, chief medical information officers, group practice administrators and IT

Healthcare industry generates large volumes of clinically related data every minute. It can be in the form of electronic records, scan reports, printed documents, images etcetera. The sources of these records are technologies like CT scan, MRI scan, Ultrasound, ECG, Dialysis, biopsy equipment etc. The objectives of this smart approach are to make this data useful and productive for analysis and study of health patterns and create statistics. A detailed analysis can help the community to get awareness for improved nutrition and hygiene.

The proposed approach uses ‘Process Mining’ technique, which aims at extracting useful information from health care data or event logs. This Technique will also help organizations to improve their services, manage the data properly and control their processes [4]. The Importance of process mining has proved itself in the field of health care domain in following literature [5-6]. The proposed approach will adopt itemset-tree (An itemset is set of re-occurring items) method to get frequent surgical specimen [7]. I our knowledge the itemset - tree has not been proposed before for such kind of data analysis.

The medical field is in high demand and the need for medical professionals will keep growing in society; especially with the baby boomer’s population rising. According to data from the U.S Census Bureau, it shows that there are 76.4 million baby boomers in the U.S today. (Pollard and Scommegna). As a result, many Americans will be retiring and receiving Medicare so the heath care field will have an increase in employment opportunities and a higher chance of career advancement. Health Information Management responsibilities include the collecting and analyzing of patient data, ensuring the privacy of patient’s records, managing and maintaining databases, and generating or analyzing reports (HIM). In addition, to conducting research about