Various healthcare datasets play different roles in the healthcare sector. With the world working towards organization of information, efficiency and prudent information storage, the data sets are developed to suit the functions that they are designed for. In the healthcare sector, the major data sets are the HEDIS, OASIS and UHDDS. All these data sets work together to ensure that there is an efficient healthcare system that serves all citizens. This paper seeks to analyze each of these data sets in regards to their function, applicability and value added to the healthcare system.
HEDIS
HEDIS means Healthcare Effectiveness Data Information Set. It was first used in 1991 and the National Committee of Quality Assurance (NCQA) as a tool for accreditation
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It enables key healthcare plan providers to evaluate and compare their services in terms of access and quality of care as well as member satisfaction. This helps in ensuring that member satisfaction standards keep rising since the managed care organizations will always strive to get member satisfaction. This helps these organizations to improve in efficiency not only in the care provision but also in running their internal systems and operations to ensure that the standards they aim to meet are achievable. This eventually helps in identifying the best care provider and that is why many healthcare organizations use HEDIS data so that they know the best …show more content…
At this level, the data that it offers is relevant and essential since it enables the institutions to determine new ways of ensuring member satisfactions. Various plan collect HEDIS data but the secondary data collected is controllable and this makes it quite reliable and applicable in the healthcare provider setting. The HEDIS reporting process fulfils all the components since it defines plans, constructs, distributes, collects and analyzes feedback making it the most effective data since it keeps on updating and so it helps in easy comparison and analyses done in real time. Some of the measures that HEDIS does are as
Generally, the development and adoption of Clinical Decision Support (CDS) systems is based on the necessity and essence of technical standards in enhancing healthcare. However, the various health IT tools must comply with some data interchange standards in order to enhance access to clinical records, lessen clinical errors and risks to patient safety, and promote innovation in “individual-based” care (Hammond, Jaffe & Kush, 2009, p.44). The need for compliance with standards is fueled by their role in enabling aggregation of informa...
There are a variety of health settings that provide patient health services. With the use of health services there has to be some type of health information exchange or system that will enable users to exchange data. Today there are networks that do this. Some of these networks are Community health information network (CHIN), Regional health information network (RHINO), National Health Information Network (NHIN) and Health Information technology for economic and clinical health act (HITECH Act). The purpose of this paper is to identify these networks, discuss the relationship among each other and lastly, explain their relationship to formation of a patient-centered management system and electronic health records (EHRs).
Health informatics is best described as the point where information science, medicine, and healthcare all meet. It encompasses the resources, devices, and methods required to optimize the acquisition, storage, retrieval, and the use of information in health and biomedicine. Health informatics incorporates tools such as: computers (hardware and softwar...
In the article by John J. Dugan, “ICD-10: From Assessment to Remediation to Strategic Opportunity” HFM, the valued gained by Geisinger Health System is known as an innovative health system with outstanding quality and being to one of the country’s earliest and most sophisticated adopters of the enterprise electronic health record (EHR), health information exchange, and analytics. According to (Dugan, 2012), its estimated implementation was going to be a large undertaking lasting several years. And extend beyond merely a technology conversion or revenue cycle change. The intention was to have an enterprise wide impact assessment to uncover critical information to organize cost and plan efforts to meet regulatory and strategic deadlines. Geisinger compiled an effective working committee with leaders to start an ICD-10 to have each area carried out. The assessment included application inventory, data analysis, and process analysis.
To understand the strategies being adopted in various healthcare facilities in order to improve their scores on quality measures and if these strategies have proved helpful in improving the over quality of care.
Administrative Mandates, including the Health Information Technology for Economic and Clinical Health (HITECH) Act, ICD-10 and HIPAA 5010, are all part of administrative simplification and the need for systems optimiza...
These measure help the leaders to communicate effectively with their staff and to achieve the goals of five pillars and the areas that leader need assistance or coaching and to see how leader are doing when it comes to achieving goals and leaders start focus on the goal to provide quality of care to residents. By measuring the performance of leaders, leaders determine what their top priorities should be, work on their weakness so leaders can align training to desired
According to HIMSS Analytics organizations who achieve stage seven status no longer use paper charts. Therefore, personal patient data diagnostic results and images and clinical information and all in an electronic medical record. Since paper charting is eliminated facilities have written disaster recovery plans and protocols which are schedule tested. All patient information is available and easily shared amount interdisciplinary healthcare teams both within the organization and outside the group. Inpatient documentation of physicians reaches or is above 90%. Stored accumulated data is used to analyze trends in facility data to improve quality of care and care delivery efficiency. In reference to, the HIMSS website a low percentage of hospitals in North America and Europe have reached stage seven status. Ayat, Sharifi, & Jahanbakhsh 2017, give the example that only one hospital in Spain has reached level seven and none in the Middle
Only gather and report the codes and data that are further supported by health record documentation in accordance with the code and requirements;
Health information management involves the practice of maintaining and taking care of health records in hospitals, health insurance companies and other health institutions, by the use of electronic means (McWay 176). Storage of medical information is carried out by health information management and HIT professionals using information systems that suit the needs of these institutions. This paper answers four major questions concerning health information systems.
ISO 27799: Health Informatics: This defines information security management in health, which uses ISO/IEC 27002 and augments the requirements of 27002 with healthcare-specific considerations for information security management (Murphy, 2015).
Data interchange standards are types of standards in healthcare that seeks to standardize the messaging, communication and integration of applications and systems not only nationwide but internationally. As mentioned in the text there are several types of data interchange standards, but there are four main ones that have been “recognized as important.” These four standards are Health Level Seven (HL7) standards, Digital Imaging and Communication in Medicine (DICOM), National Council for Prescription Drug Programs (NCPDP) and ANSI ASC X12N standards. (Wagner, Glaser, Lee, 2013)
Its purpose is to provide a uniform method for reporting medical, surgical and diagnostic services among doctors, patients, accreditation organizations and payers.
Systematic Conglomerate Sdn. Bhd. (2013, June). Malaysia Hospital Information System: MYHIS. Retrieved from Malaysia Hospital Information System: http://www.sc.net.my/v2/sc/downloads/myhis_pamplet.pdf
A variety of quality of life measures can be used for research purposes said Jacob (2009) such as economic decision making, and for decision making in clinical practice, but need to be tailored to these goals. In clinical practice quality of life measures are currently used for needs assessment and monitoring purposes. Chronic disease management systems, with the aim of delivering systematic multidisciplinary care that is also targeted at individual needs, often incorporate disease-specific instruments to assess needs and to monitor changes in perceived disease consequences.