Clinical Decision Support System Analysis

CPOE systems with clinical decision support systems can improve

The Joint Commission’s tracer methodology is used to ensure compliance standards are met, as well as to “trace” and document the level of care provided to patients in order to make improvements to the facility’s health care delivery system. Patients requiring services that utilize the entire continuum of care spectrum are selected in an effort to gather sufficient information needed to identify areas with potential risks and safety concerns. As the patients’ course of care progresses across the system, Joint Commission surveyors evaluate each department 's policy and procedure on data management, infection control and medication management process. Health information management is impacted by the “tracer methodology” because HIM must ensure

Northwell Health created a special Task Force focused on reduction of sepsis related deaths in the Emergency Department, as stated in the article “Reducing Sepsis Mortality.” The goal is to teach medical staff to recognize the signs and symptoms within an hour of patients arriving to the Emergency Department. This recognition then leads to a course of specific actions, such as, “ Early administration of antibiotics to septic patients, returning serum lactate test results to physicians, who could identify severe sepsis, starting empiric fluids quickly and appropriately,” as explained by Friedman, Gallo, Riebling and Doerfler. Northwell Health’s dedication and desire to improve the outcome of these patients lead to an understanding of the need

It is defined as а standard group of criteria to recognize if the person has а disease or not. Standardized case definitions information will be used to compare the University of Chicago Medicine with other facilities (benchmarking), to monitor the infection rate over time, and to evaluate the effectiveness of the Clostridium difficile prevention strategies. There are two national Clostridium difficile surveillance that is used in acute care setting, the National Health Safety Network (NHSN), а division from the Center for Disease Control and Prevention (CDC), and the Clinical Practice Guidelines from the Infectious Disease Society of America (IDSA) and the Society for Healthcare Epidemiology of America (SHEA). The University of Chicago Medicine will use the NHSN for national comparison (benchmarking). In case of plan failure, the University of Chicago Medicine will repeat the same steps of plan objectives as а plan B and auditing each step to make sure that plan is applied

No matter what the technology, evidence based practice must be present to establish positive patient

Computer-based algorithms provide patient-specific assistance. An early warning system that provides timely alerts designed to ensure that appropriate actions are initiated as soon as problems begin to develop. Four key applications have been developed to achieve these goals.

Florence F. Odekunle Spring Semester BINF 7510 Home Work 1 Decision Support Systems Decision support system (DSS) is gaining increased recognition in healthcare organizations. This is due to an increasing recognition that a stronger DSS is crucial to achieve a high quality of patients care and safety.1,2 DSS is a class of computerized information system that supports decision-making activities.2 It uses patient data to provide tailored patient assessments and evidence-based treatment recommendations for healthcare providers to consider.2,3 DSS can vary greatly in design and function, undergoing a constant evolution of their scope and application.4 My favorite DSS is Isabel; I preferred this DSS to other DSSs based on the following reasons:

This information is used to appropriately implement prevention and treatment for patients. The second outcome integrates analysis of information gathered by healthcare personnel to identify trends and inconsistencies within the healthcare population. Through this the origin of problems can be ascertained, and preventive measures can be instituted. Subsequently prevention will decrease incidences and ultimately the cost to

The author, Ranjana Srivastava, shows her credibility through different types of references from statistics and other sources which support and clarifies her claims. By using logos and ethos throughout the article she explains the occurrences that have resulted in the resistance in different countries and different types of patients. Srivastava applies Ethos throughout the article, where she uses a candid tone that helps convey her message more fluidly for her intended audience. Srivastava utilizes logos by describing a survey from the Australian Commission on Safety and Quality in Health Care where “38.4% of patients were being given an antibiotic… a slight majority were either noncompliant with guidelines or plainly inappropriate” (Srivastava, 2016). The survey provided insight towards the problems Srivastava is conveyed and contributes to her emphasis on her purpose to bring exposure to the effects of antibiotic resistance.

Depending on the type of office and the patients there in, will determine what electronic health system you will need. Some doctors have patients that need a high level of care and lots of tests and other documented information, like cardiology. Other offices might be able to use a simple program because they don 't have many patients or the patients they do have don 't require extensive documentation. You have to consider the amount of time you may, or may not have to train the staff and get all the information transferred. Once the needs of the facility are determined, it is then important to decide on a system that will coincide.

Analyzed statistical report of outpatient and inpatient visits, admissions, dispositions, and other selected clinical workload data and presented in command meetings. Accurately reported communicable disease to military treatment facility and civilian health authorities. Improved accuracy in reporting procedures of clinical visits. Trained staff in reporting clinical visits properly. Ensured staff utilized new techniques/procedures and had appropriate clinical privileges prior to performing procedures and duties.

In an information technology driven society, knowledge is one of the significant assets for any organization and its use in health care sector is one such application. Efficient use of database systems, data warehousing and knowledge management technologies can help in decision making in health care. In decision making data mining plays a major role and data mining is defined as the process of determining previously unknown and potentially useful information about data. Data mining technology helps to track original and hidden patterns in data. The so determined data information will help improve quality of service by stakeholders as health care data is massive.

HIM professionals have also become involved with managing the use of vocabularies and clinical code sets within their organization. While traditionally this has primarily revolved around code sets for diagnosis and procedure classifications such as ICD and CPT, the evolution of the EHR and the increasing use of other clinical data such as laboratory results and drugs will increase the types of code sets that will need to be managed. Accurate data assignment, capture, analysis, and trending of healthcare operations for decision making has evolved in the HIIM field to facilitate the aggregation of data from multiple sources to enable the capture of data once so it can be repurposed many times. Capturing information that supports a more accurate measurement of healthcare quality, such as determining how adverse events (i.e., injuries caused by medical management, not the underlying disease) actually occur in hospitals is just one

Infectious diseases have the potential to kill a patient within hours of infection. However, it takes, on average, four days to identification process. Hospital patients are overmedicated due to the wait time for infection analysis. It is not determined till days later if they have a bacterial or viral infection; and as such if the patient needs antibiotics or symptom treatment. This excessive medication has led to the deaths of patients; on average 440,000 patients die a year (in the United States) from preventable errors, including overmedication.

I’ve selected a Doctor’s Patient Database System for the fourth artifact to meet the recommend system design and maintenance solutions that meets organizational needs with appropriate applications and tools. I create this database project on April 23, 2015, as a final project for the Database and Project Design Document Class that I took. The final project was to build and design a database while using Microsoft Structured Query Language (SQL). The project was an idea to streamline medical paper records, appointments, visits, billing, and contacting insurance companies under one management system. The idea to convert paper to a paperless system will not only save money for the hospital or clinic, but also benefit the environment.