Data Warehouse Case Study

Latour, Kathleen and Eichenwald-Maki, eds. (2009). HI300: Information Technology & Systems for Healthcare. Chicago: American Health Information Management Association

In this discussion board post, I will compare and contrast informatics and clinical informatics. Then I will give two examples of clinical informatics found in my organization that has been found to improve patient care. I will also give two examples of how my nurse manager can utilize data management in order to improve patient care. Lastly, I will discuss why President Bush mandated that all health records be in electronic form by the year 2014.

The American Recovery and Reinvestmant Act, along with the Affordable Care Act, have mandated a change in the business of health care. Federal reimbursement is now based on prevention and patient outcomes. Our class web links to Centers for Medicare & Medicaid Services(CMS.gov) and Institute for Healthcare Improvement (ihi.org) have a wealth of information on how we are going to change our current health care delivery system. The president of Institute for Healthcare Improvement Pat Rutherford, has a video on how our system is going to change-It’s Art & Science. She explains that we need evidence based on research to provide the best medical care, and then customize care to each person’s values, preferences and needs. She explains that

A computerized clinical database consists of clinical data for storing, retrieving, analyzing, and reporting of information (McCartney, 2012).

How data is captured varies from institution to institution. In order for data to be well understood, data should have a definition that is consistent and comprehensively understood by all users of the data. Standardization of how data is captured is critical to allow the production and export of data needed to support quality assessment, decision support, exchange of data for patients with multiple health care providers and public health surveillance. Patient safety and quality improvement are dependent upon embedded clinical guidelines that promote standardized, evidence-based practices. Unless we can achieve standardization with terminology, technologies, apps and devices, the goals of EHR implementation will not become a

The passage of the American Recovery and Reinvestment Act encouraged and mandated the use of health information exchange (HIE) technology in the healthcare industry. The time had finally come to enter into the electronic age, and learn how to integrate electronic health records (EHRs) into their environment. Evolution and revolution are never easy, and several issues will arise during the transition. As EHR utilization spread through healthcare organizations, problems with interoperability became evident. How could healthcare organizations successfully achieve interoperability, and collect consistent patient data? A data dictionary may be the key to unlocking an accurate and efficient HIE.

Authors: Lawrence Robinson, Melinda Smith, M.A., Jeanne Segal, Ph.D., and Damon Ramsey, MD. Last updated: April 2016.

Stillwell, Susan B. DNP, RN, CNE; Fineout-Overholt, Ellen PhD, RN, FNAP, FAAN; Melnyk, Bernadette Mazurek PhD, RN, CPNP/PMHNP, FNAP, FAAN; Williamson, Kathleen M. PhD, RN

b) One of the national forces that have influenced the direction of nursing informatics is the Institute of Medicine (IOM), which has written core competencies for all health care professionals including nurses (Pritchard, 2015). The programs devised by the the Institute of Medicine aims to teach health care professionals to be better at knowing how to manage information accurately and how to use computers to make the information available to all disciplines in order to achieve better patient outcomes. On the other hand, the National Center for Nursing Research (NCNR) is one nursing force that has influenced the direction of informatics (Pritchard, 2015). This agency has created program goals and for nurses and competencies

While many people believe that health information exchange is a relatively new thing, it has been around for over four decades. However, in the beginning phases it was nowhere near as complex as it is now. Sometime in the middle of the 60’s, an early form of a data processing system was formed and it focuses on clinical data management. This system began to catch on even though they were nowhere near as sophisticated and or functional as the health records in today’s time.

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

Rural areas tend to be underserved and often excluded from new advancements in technology and healthcare. Small and rural communities often need help overcoming issues in the healthcare environment related to distance, personnel shortages, and implementing new technology. According to AHRQ, although adoption rates for new technology have progressed over recent years; however, overall rates are still low. “Clinical health information technologies, such as electronic health records (EHRs), computerized provider order entry (CPOE), and electronic medication administration record (eMAR) systems are problematic areas (AHRQ, 2011). The Agency for

Meaningful use is the adoption and use of certified health record tech, entry/capture of data (vitals, orders), movement of data (transitions of care), report data (to larger clinical systems) (SuccessEHS, 2012). Issues

Ge Li, MD, PhD; Lucy Y. Wang, MD; Jane B. Shofer, MS; Mary Lou Thompson, PhD; Elaine R. Peskind, MD; Wayne McCormick, MD, MPH; James D. Bowen, MD; Paul K. Crane, MD, MPH; Eric B. Larson, MD, MPH

D. Arnone, DM, MRCPsych, J. Cavanagh, MD, FRCPsych, D. Gerber, MRCPsych, S. M. Lawrie, MD, FRCPsych, K. P. Ebmeier, MD, A. M. McIntosh, MD, MRCPsych