Clinical Decision Support System Pros And Cons

UHN in Toronto is a major community care network that reaches out to and provides care to the masses. However in order to provide this kind of care they must have a very powerful decision support system. UHN utilizes an advanced CPR to support computerized physician order entry (CPOE). (Wu, Perters, & Morgan, 2002) A CPR system is a computer-based patient record system. A CPR system must provide a comprehensive clinical decision support it must include both a patient focus and a population focus. The physical computer system that is installed on the computers at UHN is called Patient 1® which is a clinical information system developed by Atlanta Based Per-Se

These enhancements will include a reminder system that will identify patients who are due for preventative care intervention, alerting systems that detect contraindications among prescribed medications, and coding systems that facilitate the selection of correct billing codes for patient encounters (Sunjansky, 1998). The benefits addressed in this piece of literature include the following:

Clinical Information Systems (CIS) is a type of electronic computer system database that has the capability of storing clinical information for healthcare delivery (Biohealthmatics.com, 2016). CIS has been implemented in many clinical settings to help guide clinicians with decision making abilities to provide appropriate treatments based on the patient’s history of illness, age, and other information of care provided by the facility that has been entered in the electronic health record (EHR) (Biohealthmatics.com, 2016). In regards to the case study, CIS automatically prompted an MRI of the brain alert as an appropriate intervention based on Mrs. John’s history of present illness, diagnosis, age, and the assessment competed by the nurse entered into the (EHR).

Quality and care management innovations implemented by the Hill Physicians Medical Group were the use of health information technology (HIT), predictive modeling, and chronic care management. The Group capitalized $5.7 million towards the implementation of electronic medical records (EMRs) throughout their physician offices to assist with clinical workflow, management of patient health information (PHI), and integration evidence-based practice procedures. Predictive modeling was used to manage chronic conditions by utilizing a Priority Score to establish who might need major health care services. As such, nurse case managers were able to

http://mdm.sagepub.com/ Do Patient Decision Aids Meet Effectiveness Criteria of the International Patient Decision Aid Standards Collaboration? A Systematic Review and Meta-analysis

1). Decision making by healthcare professionals is based on the assimilation of data, information and knowledge to support patient care. Organizing data, information and knowledge for the processing by computers is accomplished through the use of information technology and information structures (Newbold, 2008). The first level is data which “…are recorded (captured and stored) symbols and signal readings” (Liew, 2007, Definitions). Data is bits of information though to just have data is not meaningful to decision making. The second level is information which is organized, interpreted and communicated data between machines or humans. “Characteristics of quality information are: complete and clear in its descriptions, accurate, measurable, preferably by measurable objective means such as numbers, variable by independent observers, promptly entered, rapidly and easily available when needed, objective, rather than subjective, comprehensive, including all necessary information, appropriate to each user’s needs, clear and unambiguous, reliable, easy and convenient form to interpret, classify, store, retrieve and update” (Theoretical issues, 1998, Concepts). Knowledge is the third level of the model and is the collection of information that is obtained from several sources to produce a concept used to achieve a basis for logical decision-making. The information needs to be

An interview with an Assistant Professor at Duke University Health System in the Department of Medicine, Maestro Care Provider Champion and Clinical Content Architect. This physician works to incorporate clinical decision support tools into the electronic health record at Duke Health System. He manages the best practice advisory committee that may provide a way to deploy alerts to clinicians at the point of care. Alerts with order sets and recommended actions are created and updated to notify providers of current patient care guidelines or patient safety concerns.

Clinical Decision Support is an important tool for clinicians, staff, patients and other persons because it provides these individuals with knowledge and information with the aim of enhancing health and healthcare. It encompasses various elements that make the decision making process more effective within the clinical workflow. They include computerized alerts to care givers and patients, focused data report on patient status, clinical guidelines, documentation templates, and contextual relevant reference. This essay will critically analyze strategy that can be employed to enhance the integration of various aspects of patients with the CDS and means through which efforts can be prioritized in a team. This will include CDS intervention meeting meaningful use requirements and other areas of institutional priorities where clinical improvement can be achieved.

Clinical decision support is a system designed with capabilities to enhance physician and other health care provider in the clinical decision task. It enable the physician to have more knowledge of the patient that they are provided with care, more advance knowledge of the type of illness that the patient is going through so that appropriate clinical decision would be included in the patient treatment plan (PTP) ("What is Clinical Decision Support (CDS)? | Policy Researchers & Implementers | HealthIT.gov," 2013)

The value of Clinical Decision Support Systems is having additional avenues monitoring patient’s data input. The Clinical Decision Support Systems are offering notifications of patient’s record data to specified department or medical personal.

Clinical decision-support systems (CDSS) apply best-known medical knowledge to patient data for the purpose of generating case-specific decision-support advice. CDSS forms the cornerstone of health informatics research and practice. It is an embedded concept in almost all major clinical information systems and plays an instrumental role in helping health care achieve its ultimate goal: providing high quality patient care while, at the same time, assuring patient safety and reducing costs. This computer based systems designed to impact clinician decision making about individual patients at the point in time that these decisions are made. If used properly, CDSS have the potential to change the way medicine has been taught and

On March 20, 2010 President Barack Obama signed into law the Patient Protection and Affordable Care Act (ACA). With that signature, a new healthcare paradigm set into motion. Under Title III: Improving the Quality and Efficiency of Healthcare, Section 3506 requires establishment of programs that develop, test and disseminate “patient decision aids”. Tools that are designed to facilitate collaborative shared decision making between health care providers and patient beneficiaries. This provision outlines requirements to promote engagement of all stakeholders in informed decision making, mandates provision of up-to-date clinical evidence for all treatment options and promotes decision making that accounts for individual beliefs, preferences and circumstances.

Electronic Health Systems are equipped with many features that are designed to reduce medical errors and help navigate patients through the healthcare system. One system that is worth looking at is the MedicsDocAssistant™ (MDA™). MDA™ supports many features such as alerts (“MedicsDocAssistant,”). Alerts will pop up on a provider’s screen letting them know that there is something wrong with the patient’s care. Alerts can range from prescription alerts, warning physicians of potential adverse drug effects or allergy complications, to alerts pertaining to clinical decisions regarding patient examinations, procedures and screenings that may be crucial. For example, the system will alert to the physician to remind female patients of a certain age to schedule a mammogram screening. The objectives of these alerts are to aid in properly diagnosing patients, identifying gaps in care, running appropriate tests as well as improving patient outcomes (“How EHR Alerts,” 2012).

These features benefit the nurse for a better way to manage and patient data without using a paper chart. Correspondingly, Meditech provides a worklist too. So, nurses that use this system can also follow, keep track, and document to maintaining a record of information of the patient under their care (Medical Information Technology, Inc, 2017). Nevertheless, both systems provide real‐time updates of patient information and allow nurses to receive icon‐based notifications of new information and tasks. Apparently, with the NIS nurses will excel in quality of care to their patients.

Clinical decision making is a complicated process that depends on human capability to provide full attention to memorize, and create enormous amounts of data to all areas. IT systems are able to access information, arrange them, and recognize links between them. Clinicians often ‘know’ information such as a patient’s allergies, drug interaction and if that drug is on recall.