...entry of patient data and summarizes nursing research regarding data integrity. The case study examines the impact of consequences of the use of Electronic Health Record (EHR) systems on the quality of care and proposed solutions to address accidental EHR-related mistakes. In this case study every diagnostic procedure was done correctly and promptly for patient`s well-being, while poor and improper entry of the patient’s data led to jeopardizing the integrity of information, and further endangering patient safety or decreasing quality of patient care. One of the methods to ensure data accuracy is to ask the patient to verify data that is collected during admission and assessment processes. This verification may be accomplished through: verbal confirmation, reviewing data by patient on selected computer screen or tablet, and reviewing printouts by client of entered data. Each of these methods has possible problems. Patient may not be English proficient, the atmosphere in the emergency room may be too fast paced for the patient to be able to accurately review the data or patient may have verbal or vision weakness. Usually, electronic health records data entry result in faults due to software design flaws, poor decision support rules, inadequate user training, system performance issues, human error, interruptions by colleagues while submitting patient data, or use of the system in ways not intended by the system developer. Manual review and improving wrong data entry could be...
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...attitude towards changes • Physician and clinical staff level of comfort with technology • Some hospitals already have CPOE OPPORTUNITIES • Desire to significantly reduce medication errors • Interest in standardizing medication ordering processes • Concerns of adequate training and assistance available for all involved clinical staff • Need for improved workflow processes in pharmacy services • Must have a positive impact on hospital efficiency THREATS • Cost of implementing the systems • Must be committed to the CPOE Market • Product maturity – time vendor has been developing CPOE products • Ability to measure hospital efficiency through CPOE data Executive Summary Computerized Physician order Entry (CPOE) will help to reduce medical errors and any adverse drug issue and that would improve the quality of care. We...
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...and consolidate data from operational systems and data warehouses, data may be migrated numerous times. How can a health care organization ensure that data quality is maintained and improved using the extract, transform and load (ETL) process? Be sure to support your position with specific examples. In order for a healthcare organization (HCO) to manage its data as an asset one can employee a data warehouse (DW). Data that is used in a DW must be extracted from operational systems. Operational data houses disparate data from multiple source systems that must be integrated prior to loading into DW, e.g. clinical, financial, registration, on-line transaction processing (OLTP), etc. (Anonymous, 2000). Since you shouldn’t directly work with operational data, a working copy of the data will be needed for manipulation without impacting other systems. Extraction, transform, load (ETL) systems will extract from operational systems and create a fixed-in-time snap shot of the data (Miron, 2011). ETL is one of the most challenging and risky steps in quality data management but one that should never be overlooked. The goal of the data extraction process is to bring all source data into a common, consistent format so it can be made ready for loading into the data warehouse. This stage is so crucial to the DW as this is where most of the data is cleaned, as different source systems can have variation in format, different source codes for the same kind of data, invalid characters...
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...framework to implement Data Cleaning in Enterprise Data Warehouse for Robust Data Quality Kamran Ali Mubeen Ahmed Warraich Department of Computer Sciences Shaheed Zulfikar Ali Bhutto Institute of Science and Technology Islamabad, Pakistan. kamranali100@hotmail.com Department of Computer Sciences Shaheed Zulfikar Ali Bhutto Institute of Science and Technology Islamabad, Pakistan. mubeen_warraich@yahoo.com Abstract— every day, every hour, every minute, every second trillion of bytes of data is being generated by enterprises especially in telecom sector. To achieve level best decisions for business profits, access to that data in a well-situated and interactive way is always a dream of business executives and managers. Data warehouse is the only viable solution that can bring that dream into a reality. The enhancement of future endeavors to make decisions depends on the availability of correct information that based on quality of data underlying. The quality data can only be produced by cleaning data prior to loading into data warehouse. So correctness of data is essential for well-informed and reliable decision making. The framework proposed in this paper implements robust data quality to ensure consistent and correct loading of data into data warehouse that necessary to disciplined, accurate and reliable data analysis, data mining and knowledge discovery. Significant amounts of time and money are consequently spent on data cleaning, the task...
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...used the Oracle Enterprise Data Quality Management suite to create a single, accurate, complete record of each client in just one month. As a result, the accuracy of its customer and corporate data has improved to nearly 100 percent, and BSI can refresh information four times faster. The project began with a simple need: BSI wanted to optimize customer insight by creating master customer records that captured each client’s profile, purchasing history, business relationships, and other attributes in a single view. The goal was to eliminate inaccurate, incomplete, nonstandard, multiformat, and duplicate customer and transactional data from the customer database, which was growing 3 percent to 4 percent each year. Senior officers knew that having complete and accurate data would improve the organization’s ability to segment customers, increase marketing effectiveness, boost sales per customer, and reduce churn. In addition, by standardizing names, dates, and values in corporate and customer records, BSI could improve the performance and productivity of its marketing, sales, and operations teams, improving the match between customer needs and BSI services. The need for standardization also extended to the publications, training documents, tools, and services that BSI sells online. They needed to ensure consistent coding, description, and pricing formats in their electronic catalogue. Always conscious of costs, BSI wanted to complete this master data management project using its...
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...focus on market niche C) product differentiation D) customer and supplier intimacy 4) Information systems A) pose traditional ethical situations in new manners. B) raise ethical questions primarily related to information rights and obligations. C) raise the same ethical questions created by the industrial revolution. D) raise new ethical questions. 5) Place the following eras of IT infrastructure evolution in order, from earliest to most recent: (1) Cloud Computing Era (2) Client/Server, (3) Enterprise Era, (4) Personal Computer, and (5) Mainframe and Minicomputer. A) 5, 4, 2, 1, 3 B) 4, 5, 3, 2, 1 C) 4, 5, 2, 3, 1 D) 5, 4, 2, 3, 1 6) A DBMS reduces data redundancy and inconsistency by A) enforcing referential integrity. B) minimizing isolated files with repeated data. C) utilizing a data dictionary. D) uncoupling program and data. 7) The Internet is based on which three key technologies? A) Client/server computing, packet switching, and the development of communications standards for linking networks and computers B) TCP/IP, HTML, and HTTP C) TCP/IP, HTTP, and...
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...dog Research 10 Gigabit Ethernet Virtual Data Center Architectures Sponsored by: DELL, INC. The combination of a consolidated data center with a virtualized 10GbE data center can offer your company numerous benefits, including increased adaptability, improved business continuance, and reduced space requirements. Download 10 Tips For Overcoming IT Certification Struggles Sponsored by: SKILLSOFT This resource examines the challenges and benefits of IT certification and includes tips for improving pass rates. Download 10 tips: How to handle 2013 IT challenges Sponsored by: PROJECTPLACE In this resource, CIOs and other IT leaders will find 10 useful tips for how to handle some of 2013's biggest IT challenges, including security issues, consumerization of IT, transparency and collaboration demands from stakeholders, general cost cuts, and mutiple options for cloud-based services. Download 13 Infrastructure Decisions That Result In Poor IT Security Sponsored by: GLOBAL KNOWLEDGE This white paper presents 13 somewhat common infrastructure decisions that can result in poor IT security. It is possible that your organization can improve its security in one or more of these areas. Take the time to assess your current security policy in each of these areas to see if there is room for refinement or improvement. Download 2012 Gartner Magic Quadrant Report Sponsored by: RIVERBED TECHNOLOGY, INC. Riverbed is positioned in the Leaders Quadrant of the 2012 Gartner Magic Quadrant...
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...Data governance (DG) refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. Data Governance practices provide the framework for maintaining company’s investment in their data management activities (MDM, Data Profiling and Data Quality, and Metadata Management). Data Governance provides a mechanism to rationalize and control organization’s collection, storage, analyses and dissemination of its data. Most companies accomplish Data Governance by: * Defining data standards * Creating programs consisting of a governing council, personnel, procedures, and plans to execute data governance policies * Establishing auditing practices to monitor and report on the integrity of data governance activities For many companies, their intellectual property can often be more valuable than their physical assets. Having an effective IT governance strategy in place can protect this intellectual property, reducing the risk of theft and infringement. Data protection, privacy and breach regulations, computer misuse around investigatory powers are part of a complex and often competing range of requirements to which directors must respond. There is increasingly the need for an overarching information security framework that can provide context and coherence to compliance activity worldwide. IT Governance is a key resource for forward-thinking managers and executives at all levels, enabling them to understand how decisions...
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...Quality Data Collection Grace C. Turne HCS/588 March 26, 2012 Ismael Caicedo Quality Data Collection Quality data collection plays an integral part in quality improvement. In order to measure performance, quality data must be gathered by the use of data collection tools that must be implemented. Nurses Just for Kids a pediatric specific home care agency specializing in the care of medically fragile children must develop a QI plan that best suits them by choosing data collection tools that based on potential improvement areas that they plan to tackle. The paper will discuss potential improvements, data needed to monitor for improvement in performance areas, data collection tools used, comparing and contrasting the tools and measurements as well as its importance in healthcare. Potential Areas for Improvement for Nurses Just for Kids There are many different areas that have the potential for improvement for Nurse Just for Kids but only two areas have been in need of quality improvement efforts the most. The two areas are back injuries and ventilator associated pneumonia. Two of the five clients that are being serviced from the home care agency has seen an increase in back injuries that are seen from their employees. The second area in need of improvement is in the area of ventilator associated pneumonia which there has been two pediatric clients with hospitalization due to pneumonia in the same month in 2011. This is a significant amount considering how small...
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...Running head: QUALITY IMPROVEMENT PLAN PART II Quality Improvement Plan Part II Cheryl Wright University of Phoenix HCS 588 Cynthia Hughes July 16, 2012 Quality Improvement Plan Part II Quality improvement is a hospitals process to advance the quality of care and outcomes for patients using an explicit set of philosophies and procedures (Walker, 2012). This paper attempts to describe some of the areas of potential advances for quality improvement at Washington County Regional Medical Center (WCRMC) nursing unit. One principle of quality improvement is measurement, which is the collection of data to improve patient care. Using these measurements and tools can help leaders understand the direction of quality in the organization. Areas of Potential Improvement for the Organization. The areas of consideration for improvement at WCRMC are emergency room wait times and discharge instructions. Both of these improvement areas have financial and influence for the health care organization. Emergency room wait times can reduce the market share and financial stability of the health care organization. Discharge instruction if given appropriately by the nursing staff can reduce the readmission rate for WCRMC, along with financial gain and improve the satisfaction of the patient experience. These are just of couple of measures WCRMC can use to align the mission of the organization and the commitment of improving performance. There are several models and tools...
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...In the health information management (HIM) profession, there are many challenges and constant changes related to healthcare data. High-quality healthcare data is essential in order to create meaningful data. Electronic health records (EHRs) are a big part, and an increasingly important aspect of data quality. Data is analyzed and managed by the health professional, to be incorporated with new and changing technologies. Concerns have arisen with healthcare data, increasing the need for data integrity and reliability. Healthcare data will require constant improving to maintain quality. Healthcare leaders face many challenges related to data, such as the transition to the ICD-10-CM/PCS data system and producing meaningful use with data given. Other issues that occur for healthcare leaders, are maintaining compliance with clinical documentations and health data reporting requirements, whether by data entry or the software program itself. They must also ensure the health information exchange (HIEs) is worthwhile and that it will be sustainable. EHRs are used much more now than in the past and have become a staple in healthcare settings. EHRs have created options for healthcare organizations to choose from, in order to record documentation. Complaints and concerns have developed, in regards to electronic health records (EHRs). Since EHRs are being increasingly integrated into all aspects of healthcare settings, issues “regarding the integrity, reliability, and compliance...
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...Measuring Health Care: A Reflection The past few decades have seen a growing interest in the use of healthcare measures to monitor and evaluate health system quality and performance. A measure is a summary statistic used to give an indication of a process that cannot be measured directly. For example, the quality of care a patient receives is difficult to measure directly, however, we can measure particular processes (such as adherence to protocols) or outcomes related to quality of care. The use of quality data has led to improvements in operations, finances, and clinical outcomes. This discussion will center on a few topics that are vital to health care measures and system quality and performance. The foundation of measures and reasons for their use will be discussed in great detail. We must understand the reason for using measures in health care and their relationship to providers, policy makers, and administrators. Another topic that is vital to the discussion of measures is the use of data to improve organizational processes and thus the outcome of improvements. Although healthcare institutions do not generally make use of quality data and measurements to improve their profit margins, there are many ways they can utilize such measures to enhance their organizational performances. Finally, the discussion will come full circle to show how solidifying the relationship between quality standards and operational and financial efficiencies will lead benefits in long-term strategic...
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...Data Dictionary There are several advantages for aggregated data being used in health care. Aggregated data is the consolidation of data relating to multiple patients. This data is used to establish information about groups of patients. It allows to identify common components that can help to anticipate the course of the disease or provide information about the most useful way to treat the disease. Aggregated data is a great way to educate healthcare professionals and patients on the link between conditions and lifestyle decisions. Healthcare professionals need education to become informed and comfortable in their healthcare duties. Aggregated data can be important part of education. The data can identify information to help with education and research. Healthcare trends, best practices, and evidence-based medicine can guide healthcare professionals in their roles. The disadvantage for aggregated data is the lack of sufficient data to measure the quality of care. Many quality and pay-for-performance initiatives address problem compliance rather than the quality of results. The quality and cost of healthcare have suffered. (Regan & Randall-Lewis, 2008) The advantage for the logic underlying an analysis of routine comparative data is that is it possible to make attributions of causality between the services provided and the observed quality measures (Powell, Davies, & Thompson, 2002, p. 122). Comparative data is easily accessible in many health care settings...
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...Reducing falls among inpatient (hospitalized patients) is a growing patient safety concern for health care organization. Today, health care organizations are being more proactive in reviewing, evaluating and implementing fall prevention program and strategies. Collecting and analyzing data are vital components for measuring, monitoring, and revising quality and improvement programs. The purpose of this paper is to analyze the case example Falls and examine the data collection methods used to monitor and revise quality improvement programs. Measures to Monitor and Revise Quality Program Implementation According to the Center for Disease Control and Prevention (CDC, 2010), falls are the leading cause of injury among individuals 65 years and older. Falls can result in severe injuries such as hip fractures and head trauma. The economic impact for medically treating and managing fall and fall-related injuries are astronomical. In 200, the U. S health care system spent over $23 billion dollars on falls and fall related injuries and the cost is expected to increase to over $44 billion dollars by the year 2025. Because of these two statistical factors, health care organizations are shifting toward developing fall prevention programs. Also, the inpatient population is shifting: people are living longer, have multiple medical comorbidities, and taking various type of medication. Quality...
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...Data Analytics and Information Governance XBT Task 2- 3 Annotated Bibliographies November 2, 2015 1.) Mushtag,F. (2015). Ensuring EHR compliance for Meaningful Use. Health Management Technology, 36(7), 16-17. In this article Mushtaq is describing how Meaningful Use will improve the data quality of electronic health records. He points out what the requirements of Meaningful Use are and how it is meant to improve the EHR through The Medicare and Medicaid EHR Incentive Program. Mushtaq contends that while organizations originally put EHR systems in place to collect data, the market has shifted and health organizations as well as providers have moved more into a value based healthcare environment. He suggests that there are several steps in preparing to become complainant for the requirements for participation through the Centers for Medicare & Medicaid Services (CMS). He states that once you become complainant that EHR’s will provide relevant data, improve patient adherence, access to data that will drive improvements, and higher quality of usable data. He concludes effective compliance data will lead to higher quality of data which will allow physicians to provide better care to their patients. This article covers the importance of Meaningful Use and its relationship to obtaining quality data and is useful to bringing in or updating the EHR. The information in this article could be used to give the HIM professional ideals about how to make Meaningful Use of data...
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