Write 4 pages in which you discuss how a current information system used in the delivery of patient care contributes to improved patient outcomes. In using information system technology, nurses are able to track and measure data to improve patient outcomes. By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:


Information systems play a crucial role in healthcare delivery by facilitating the collection, management, and analysis of patient data. These systems have the potential to significantly improve patient outcomes by ensuring the delivery of high-quality and personalized care. In this paper, we will discuss how a current information system used in the delivery of patient care contributes to improved patient outcomes.

Electronic Health Records

One of the most widely used information systems in healthcare is the Electronic Health Record (EHR) system. EHRs are comprehensive digital records that contain a patient’s medical history, diagnoses, medications, allergies, and other essential healthcare information. These records are accessible to authorized healthcare providers and allow for the seamless sharing of information across different healthcare settings.

Having a centralized and electronic record of patient information enables healthcare providers to make more informed decisions and deliver targeted care. They can quickly access relevant patient data, such as lab results, imaging reports, and previous treatments, which helps in accurate diagnosis and treatment planning. This timely access to information enhances healthcare providers’ ability to make evidence-based decisions, leading to improved patient outcomes.

Clinical Decision Support Systems

Another critical information system that contributes to improved patient outcomes is the Clinical Decision Support System (CDSS). CDSSs use patient data, evidence-based guidelines, and best practices to provide healthcare providers with real-time alerts and recommendations during the clinical decision-making process. These systems assist in accurately diagnosing diseases, selecting appropriate treatments, and avoiding medication errors.

CDSSs analyze patient data, such as vital signs, lab results, and medical history, and compare it with established guidelines and algorithms. They then provide healthcare providers with evidence-based recommendations tailored to the individual patient’s needs. This helps in identifying potential risks, preventing adverse events, and promoting patient safety. For example, a CDSS can alert a physician to a drug allergy based on a patient’s medical history, preventing the administration of a potentially harmful medication.

Telehealth and Remote Monitoring

Telehealth and remote monitoring systems have gained significant popularity, especially in the current era of the COVID-19 pandemic. These information systems enable remote consultations, monitoring, and management of patients’ health conditions. They provide patients with the convenience of receiving care in their homes while allowing healthcare providers to remotely monitor their progress and intervene when necessary.

Telehealth allows for improved access to healthcare, especially for patients in rural or underserved areas. Patients can consult with healthcare providers through video conferences, phone calls, or secure messaging platforms, eliminating the need for in-person visits. Remote monitoring devices, such as wearable sensors and home monitoring kits, collect data on vital signs, activity levels, medication adherence, and other health parameters. Healthcare providers can remotely track this data and intervene proactively, ensuring timely and appropriate interventions to prevent complications.

Analytics and Population Health Management

Analytics and population health management systems use advanced data analysis techniques to identify trends, patterns, and insights from vast amounts of patient data. These systems help healthcare providers in population health management, disease surveillance, and resource allocation. By analyzing population data, healthcare organizations can identify areas of improvement, develop targeted interventions, and allocate resources efficiently.

Analytics systems can identify and predict disease outbreaks, allowing for early interventions and preventive measures. For example, analyzing influenza-like illness patterns can help identify regions at risk of an outbreak and inform the deployment of vaccines and other preventive measures. Similarly, analyzing data on chronic disease management can help healthcare providers identify high-risk patients and develop personalized interventions to prevent complications.


The use of information systems in the delivery of patient care contributes significantly to improved patient outcomes. Electronic Health Records, Clinical Decision Support Systems, Telehealth and Remote Monitoring, and Analytics and Population Health Management systems all play pivotal roles in ensuring high-quality, personalized care. These systems enable healthcare providers to access and analyze patient data, make informed decisions, and intervene proactively, leading to improved patient outcomes. As healthcare continues to evolve, leveraging the power of information systems will be vital in transforming healthcare delivery and improving patient outcomes.

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