How An Enterprise Data Warehouse ( Edw ) Can Help Manage Their Population Of High Risk Patients?

Healthcare stakeholders know how to value what they have captured and they have come up with many ideas to help with their goal. “Big data could transform the healthcare sector, but the industry must undergo fundamental changes before stakeholders can capture its full value” (Kayyali, B., Knott, D., Van Kuiken, S., 2013). Since the affordable care act has been in place there has been an increase number of patients seeking preventative care or even seeking help for chronic illnesses that they weren’t seen for because of lack of insurance. Because of that, there has been a shortage of physicians, nurses and other healthcare providers. So the stakeholders have another challenge on their hands in trying to hire more doctors and nurses to help with the increase of patients.

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

In some areas of population health, technology in enhanced patient information is utilized to perform risk stratification to identify the high risk patients. These patient’s often have uncontrolled BP, diabetes with an HgbA1c over 9, COPD, etc. Once identified as high risk or potential high risk, these patients receive additional care or patient outreach to help manage their condition. Some organizations employee RN Health Coaches and Care Coordination teams to help these patients and identify gaps in care. The primary care physician assumes care of the patient along with striving for the patient to become active in their overall health thereby keeping them out of the hospital (Sanford, 2013). One enhanced area of population management is the PCMH model. PCMH practices increase patient’s engagement in shared decision making while providing compensation for care coordination, care management and medical consultation outside of traditional face-to-face visits (Berryman, Palmer, Kohl &Parham, 2013). A patient centered approach pushes for changes not only in the delivery of medicine but in traditional encounters. In addition, PCMH encourages increased access to the patient’s primary care physicians and improved patient satisfaction scores. PCMH and population health encourages providers to increase after hours care to decrease emergency department visits and/or hospitalizations. Thereby reducing cost and improving the patient’s

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.

This Practice Brief focuses on the challenges of establishing and maintaining quality data in the Electronic Health Record. Beginning with citing statistics of adverse events that are directly linked with poor quality data, the author further discusses how Health Information Exchanges, performance improvement initiatives, and payment are closely tied to data quality. The success of Electronic Health Record Incentive programs and ICD-10

Worldwide use of computer technology in medicine began in the early 1950s with the rise of the computers. In 1949, Gustav Wagner established the first professional organization for informatics in Germany. Medical informatics research units began to appear during the 1970s in Poland and in the U.S. Since then the development of high-quality health informatics research, education and infrastructure has been a goal of the U.S. and the European Union. (NYU graduate training program, 2010) Changes in the healthcare environment produced fundamental shifts in the delivery of healthcare. The altering landscape of healthcare is creating a huge demand for health data analytics. The growth and maturity of healthcare informatics over the past decade has been a prime catalyst in positioning the healthcare industry for the changes posed by reform measures. By understanding the process of analytics, clinical informatics specialists say healthcare providers have the insight necessary to make the process adjustments in the future.(Riskin, 2013)

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.

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

This article describes The Health Information Technology for Economic and Clinical Health Act’s (HITECH) “meaningful use” objective to create a nationwide system of Electronic Health Records (EHRs) in order to improve patient safety, quality of care, privacy and security. The authors point out that during the first two years of an EHR implementation, clinicians and hospitals must meet certain requirements in order to qualify for federally funded incentive payments totaling up to $107,750 per clinician. This incentive is meant to ease the financial challenges smaller practices might face as the United States works toward a more technically collaborative information care system, EHRs promise to provide.

Health Information Technology (HIT) Medicare databases are valuable tools to extract healthcare data because they store comprehensive sources of health information. Medicare collects information on all its beneficiaries and those providers that receive payments from Medicare. The data that Medicare collects can be used to identify the variations in cost, utilization and quality. Most Medicare beneficiaries are in traditional fee-for-service (FFS), therefore, spending per beneficiary should be the same throughout the country but, it is not. Numerous studies have shown there are differences in cost and the quality of health care with Medicare beneficiaries, with the biggest spending difference being post-acute services. As explained, by the

Chaudhry et al. (2006) identified that informatics systems will be necessary in obtaining this data to meet the new data requirement to ensure quality and efficiency, and document actual outcomes. Optimizing care by enhancing integration of technology support to facilitate work flows and provide data that supports both the point of care delivery as well as the perspective on organizational performance will be critical for

The ETL processing required for a healthcare data warehouse can be a barrier for a

The variation in information needs across any healthcare provider organization forces healthcare information technologies (HIT) platforms, systems, processes and procedures to align its design to support the unique information needs of each department and role. The greater this alignment of HIT systems and technologies to specific administrator, doctor, nurse and lab technician roles, the higher the level of overall systems performance and results attained (Agrawal, Grandison, Johnson, Kiernan, 2007). Just as an enterprise has strategic information needs that help to define the future direction of the business, healthcare provider organizations also have a comparable set of strategic information needs. The administrative roles in healthcare providers need to have a consolidated view of the organization from a cost, quality management, service level, patient recovery rate, patient satisfaction and profitability standpoint as well (Middleton, 2005). All of these factors are often gathered together in a dashboard that administrators often rely on to manage the core areas of their healthcare business (Leung, 2012). Administrator's information needs are also longer term in nature and more oriented towards the development of strategic initiatives that will last several years, requiring

In 2009, the Healthcare Information and Management Systems Society (HIMSS) developed literature that outlined Data Warehousing and its impact within Healthcare Data Management. A study showed that companies who implemented a data warehouse had one consistent data store for reporting, forecasting, and analysis (HIMSS, 2009). Additionally, they had easier and more timely ways to access data, improved end-user productivity, improved IS productivity, reduced cost, scalability, flexibility, reliability, and an overall better competitive advantage (HIMSS, 2009).

The healthcare system has seen significant change over the past decade. This is due to improved technology, healthcare reform, and the economic crisis (Hendren, 2010). With the changes that are occurring,