Grouped Scatter Plot of Medical Error Recognition Performance

During the 1980’s and 90’s there were many studies done that showed that medical errors were occurring in inpatient and outpatient settings at a very high rate. Computer Provider Order Entry (CPOE) systems were designed to reduce or eliminate mistakes made by using hand written orders. The CPOE system allows users to directly enter their orders into the system on computers which are then sent directly to the healthcare providers that will be implementing the orders. Previously orders were placed by writing on order sheets on patient charts. This was sometimes done by the doctor or by a nurse acting on behalf of the doctor. Order sheets were then signed by the doctor and then the information was input into the patient’s record. This left

·  How were measures of central tendency used in the study? Did the study use the most appropriate measure of central tendency for the given data? Why or why not?

2. Compute the means for the following set of scores saved as Ch. 2 Data Set 3 using IBM® SPSS® software. Print out a copy of the output. (Please refer to attachment)

Iterations of analysis eliminated data points that were listed as “unusual observations,” or any data point with a large standardized residual. After 5 iterations, the analysis showed improved residual plots. Randomness in the versus fits and versus order plots means that the linear regression model is appropriate for the data; a straight line in the normal probability plot illustrates the linearity of the data, and a bell shaped curve in the histogram illustrates the normality of the data.

Implementation of EHR shows improvement of quality of care by the nurses ability to access the patient chart at the bedside, decreasing the risk of wrong patient errors.

Accuracy of recordings and ease of understanding of patient information in medical records play central role in quality of

Accuracy of recordings and ease of understanding of patient information in medical records play central role in quality of

C. The researchers analyzed the data as though it were at the interval/ratio level since they calculated means (the measure of central tendency that is appropriate only for interval/ratio level data) and standard deviations (the measure of dispersion for interval/ratio data) to describe their study variables.

Bates, D. W., M. Cohen, L. L Leape, J. M. Overhage, M. M. Shabot, and T. Sheridan.

Unfortunately, physician's perceptions are not objective outcome measures (Schenarts and Schenarts, 2012). It’s very dangerous the fact that providers rely on the electronic system to catch our errors. Furthermore, some of the most notable benefits of EHR include providers’ ability to access patients’ medical history almost anywhere, at any time. Nonetheless, the heavy reliance on health information technology is a major concern. It has the potential to cause harm to patients instead of the intended purpose of patient safety. Some examples of this include latent errors that do not manifest until they have already caused harm to the patient, or system failures which can cause a delay in time for healthcare professionals to review records thus, causing a delay in patient care. In addition, patient orders can be lost or miscommunicated. Healthcare providers rely on with confidence that the computer system will seamlessly promote the quality care of patients. According to Fiercehealthcare.com (2017), because of deficiencies in the eclinicalworks software, patients could not rely on the accuracy of their medical records. In addition, one patient was

The quality depends on integrity, accuracy of health information, adoption of health information technology, and electronic medical records that would be vital in transforming the U.S health care system to one that is efficient and safer. Adoption of EMR has failed to achieve the benefit for which it was designed for, despite the promises of it improving quality of care and patient security. EMR errors results in data been lost or entered incorrectly, much efforts needs to be done to measure the occurrence of this errors determine the causes and get solutions.

“An Electronic Health Record (EHR) is an electronic version of a patient’s medical history, that is maintained by the provider over time, and may include all of the key administrative clinical data relevant to that persons care under a particular provider, including demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data and radiology reports” (CMS, 2011). Paper charting can no longer support the needs of our healthcare industry, and EHR is replacing it throughout healthcare settings in a rapid way. Also, once the patient is discharged from the healthcare setting, paper charts are stored in medical records and a new chard would open if the patient comes back later, allowing key information to be missed and put the patient safety in jeopardy.

2. Which of the following values from Table 1 tells us about variability of the scores in a distribution?

Department Organization: This 358 hospital bed acute care facility. The HIM department is staffed with twenty one individuals who hold various positions. There is one with a RHIA credential, and two with RHIT credential. The other members of the department include Certified Coding Specialists (4), Certified Coding Associates (1), Birth Recorders (1.5), Clerks (2.2), Technicians (6), System Technician (1), Registry (.8) and Document Specialists (2.2) with many tasks shared among the entire team. The information flow begins with the patient discharge. A new chart is created for each discharge. The chart is assembled, coded and then analyzed by senior HIM Specialist for deficiencies. If the chart is complete the chart goes to the main file. If not, complete MD is notified.

“The United States based Institute of Medicine (IOM) reported in 1999 that at least 44,000 people, and perhaps as many as 98,000 people, die in hospitals each year as a result of medical errors that could have been prevented…” (Anonymous, 2015). When faced with more than a singular sentinel event related to medication administration errors, the organization must begin to look into why this happened and what can be done to prevent any more errors from occurring. Implementing new bar code technology into a new electronic health record (EHR) system can dramatically reduce the number of errors made by healthcare providers. In order to implement a new system; several steps must occur. An informatics nurse plays a vital role in not only the design of new program interfaces, but in developing educational programs for the new systems. Not all studies have shown that implementing a new bar coding system can be beneficial to healthcare providers, though.