The current age of technology has made finding a need to utilize health information technology to create better outcomes for patients and to control cost within healthcare organizations. This has led to the creation of an electronic health record. The electronic health record is required to deal with the health reform and transformation opportunities in the healthcare organization. There is a need to even further usage of data integration to make even better healthcare choices by using Business Intelligence.
The Health Information Technology for Economic and Clinical Health Act of 2009 was enacted as part of the American Recovery and Reinvestment Act of 2009. This has been collectively referred to as HITECH. This was designed to promote
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Orion Health announced Amadeus’s global release on December 9, 2015. Amadeus is able to integrate genomic data as well as other new data sources to allow healthcare professionals to better understand the patient’s diagnosis and to utilize better treatments Amadeus utilizes Apache Cassandra, Apache Spark, and Elasticsearch. According to Ian McCrae, CEO of Orion Health “Amadeus is horizontally scalable platform build on distributed DBMS technology for maximum scalability to meet the customer’s growth needs, making it the platform to deliver Precision Medicine. The architecture of the platform has been specifically designed to handle large amounts of data coming from many different sources, taking advantage of the scalability, performance, and flexibility of Apache’s Cassandra distributed database system. This database is used by some of the largest consumers of data in the world, including Apple, Instagram, Comcast, and Disney.” …show more content…
Elasticsearch is another Apache licensed product that is based on Apache Lucene. Lucene is a Java based indexing and search technology designed to operate in real time. Elasticsearch is a real-time distributed search and analytics engine. It can be used for full-text search, structure search, analytics, and all three in combination. Websites such as Wikipedia, The Guardian, Stack Overflow, and GitHub all use Elasticsearch in some capacity. Elasticsearch indices can be divided into shards. Each shard can have zero or more replicas.
Another benefit to Amadeus and other business intelligence technologies is what it can do for population health management. Population Health Management, PHM, is the aggregation of patient data across multiple health information technology resources, the analysis of that data into a single, actionable patient record, and the actions through which car providers can improve both clinical and financial outcomes. With this data, the healthcare organizations better customize its products to the community as a whole and market preventative care better suited for the
Healthcare delivery system in recent times is confronted with a lot of problems, cost, accessibility and quality of care. To be able to address these problems, healthcare organizations rely on information science technology to enhance cost-effectiveness, and safe quality care.
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
HITECH stands for The Health Information Technology for Economic and Clinical Health Act It is legislation that was created and signed in 2009 by President Obama. The electronic health records (HER) legislation activate the adoption and embracing technology in the United States. HITECH signed by President Obama into law on Feb. 17, 2009, as part of the American Recovery and Reinvestment Act of 2009 (ARRA) economic stimulus bill.
Integrated data solutions to streamline data sharing is needed. Also, support in Population health management initiatives can make ACO a reality (Perficient Inc. 2015).
Background: The Federal Agency for Healthcare Research and Quality (AHRQ) identified five goals for adopting health information technology (HIT) into the current health care systems that would significantly improve healthcare in America. (Abdelhak, Grostick, & Hanken, 2012, p. 82) These goals will help improve the quality of care within the federal health system by reducing medical errors, cost, and duplication of workload.
It is important to understand the history of how the healthcare industry decided to embrace the use of computer databases. Typically healthcare was often the last to employ new technology; especially when it came to assembling and disseminating data. As a Director of HIM (Health Information Management) it would be beneficial to remember this as there will undoubtedly be some resistance when attempting to implement new and improved systems to track everything from patient outcomes and laboratory tests to prescriptions and medications.
In order to accelerate the use of health information technology, the U.S. government enacted the Health Information Technology for Economic and Clinical Health (HITECH) Act as part of the American Recovery and Reinvestment Act of 2009.
As a result, the Health Information Technology for Economic and Clinical Health (HITECH) Act was enacted by the federal government in 2009 (Blumenthal, 2010). This act was to improve quality, safety, and efficiency while enhancing patient privacy
HITECH is the Health Information Technology for Economic and Clinical Health Act and is a plan from the Government to stimulate HER implementation. The act promotes the widespread adoption of EHR and authorizes Medicare incentive payments to doctors and hospitals using a certified EHR and eventually financial penalties for physicians and hospitals that do
Clinical business intelligence is a modular and scalable platform that helps the organizations to seamlessly integrate data from multiple clinical and financial system and address the most critical BI and analytical needs. Physicians use the hospital EHR and other clinical IT applications to make decisions and provide excellent care to the patients but recently the physician practice network deployed new EMR along with a bunch of online e-prescriptions and lab applications. The hospital system relates to a statewide health information exchange. The new kinds of data support the physicians and administrators in making clinical and financial decisions. BI clinical also leverages technology partnerships to give organizations the
The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 committed federal resources by creating incentives for integrating EHR and EMR systems with patient-accessible websites. These integrations offer sweeping advantages for health care companies that include:
Health informatics has successfully captured the attention of clinical and public health leaders around the nation as they realize its potential to solve problems, cut cost and enhance patient experience. As discussed in class, The American Reinvestment and Recovery Act (ARRA) of 2009 initiated a program designed to equip hospitals and medical practices around the country with electronic health record systems. Known as the Meaningful Use program, it has provided financial encouragements to health care organizations to install these computerized systems. This act has resulted in a huge increase of electronic health records (EHR) companies and has generated countless jobs for healthcare data analysts and related IT positions.
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
In health care, patients’ lives are in the hands of the health care practitioners, health care organizations, insurance companies, and to some degree, even health care technology. The growth and future implications of evidence-based medicine (EBM) through improvement of technology in health care are important today, because health care practitioners and organizations want to ultimately decrease cost, improve quality of care, and increase access to health care (Glandon, Smaltz, & Slovensky, 2014, p. 28). One way to achieve these goals is through the implementation and improvement of EBM and interoperability which will enhance the efficiency of work production resulting in these positive outcomes. According to Glandon, Smaltz, and Slovensky (2014), EBM is an “information management and learning strategy that seeks to integrate clinical expertise with the best evidence available to make effective clinical decisions that will ultimately improve patient care,” (p. 6). “Interoperability is the ability of different information and communications technology systems and software applications to communicate, to exchange data accurately, effectively, and consistently, and to use information that has been exchanged,” (Iroju, Soriyan, Gambo, & Olaleke, 2013, para. 1). Without interoperability and EBM, fundamental data and information such as patient records cannot be easily shared across and within enterprises having a direct impact on the quality of care. It
They must also consider the most suitable and reputable company to install their new system. A report by KLAS research (2012) has found that “SAP, McKesson and IBM Systems were considered” by 137 healthcare provider organisations, with IBM being the highest considered in these values. Considering the aforementioned concerns regarding the implementation of a new system, stakeholders must keep in mind the possibility of compatibility difficulties between existing systems in at Mifflin-Dunder. The vendor must be contractually obliged to disclose any difficulties they may encounter during implementation. An investigation into potential healthcare BI vendors has identified IBM Cognos as the most suitable BI system to incorporate into Mifflin-Dunder. The system has the ability to perform complex calculations with existing analytics and can “help reach business goals by providing a unified picture, in real time, of the hospital’s operations from a clinical, administrative, and financial perspectives.” (IBM 2015) This system has been successfully implemented into other hospitals including Bangkok Hospital, where it was found to have a 30% increase in patients that returned for future treatments as a result of patient satisfaction. (IBM