Discussion -Health Information Access And Management

Discussion -Health Information Access And Management

This is a discussion post 350 words

To Prepare:

Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs.

https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed.

Post a description of at least one potential benefit of using big data as part of a clinical system and explain why.

Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why Discussion -Health Information Access And Management.

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Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described.

Be specific and provide examples.

https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

Learn what a health information system is, benefits, best practices, and more in Data Protection 101, our series on the fundamentals of information security.

A health information system (HIS) refers to a system designed to manage healthcare data. Discussion -Health Information Access And Management This includes systems that collect, store, manage and transmit a patient’s electronic medical record (EMR), a hospital’s operational management or a system supporting healthcare policy decisions.

Health information systems also include those systems that handle data related to the activities of providers and health organizations. As an integrated effort, these may be leveraged to improve patient outcomes, inform research, and influence policy-making and decision-making. Because health information systems commonly access, process, or maintain large volumes of sensitive data, security is a primary concern.

Health information technology (HIT) involves the development of health information systems.

EXAMPLES OF HEALTH INFORMATION SYSTEMS

Health information systems can be used by everyone in healthcare from patients to clinicians to public health officials. They collect data and compile it in a way that can be used to make healthcare decisions.

Examples of health information systems include: Discussion -Health Information Access And Management

Electronic Medical Record (EMR) and Electronic Health Record (EHR)

These two terms are almost used interchangeably. The electronic medical record replaces the paper version of a patient’s medical history. The electronic health record includes more health data, test results, and treatments. It also is designed to share data with other electronic health records so other healthcare providers can access a patient’s healthcare data.

Practice Management Software

Practice management software helps healthcare providers manage daily operations such as scheduling and billing. Healthcare providers, from small practices to hospitals, use practice management systems to automate many of the administrative tasks.

Master Patient Index (MPI)

A master patient index connects separate patient records across databases. The index has a record for each patient that is registered at a healthcare organization and indexes all other records for that patient. MPIs are used to reduce duplicate patient records and inaccurate patient information that can lead to claim denials.

Patient Portals

Patient portals allow patients to access their personal health data such as appointment information, medications and lab results over an internet connection. Some patient portals allow active communication with their physicians, prescription refill requests, and the ability to schedule appointments.

Remote Patient Monitoring (RPM)

Also known as telehealth, remote patient monitoring allows medical sensors to send patient data to healthcare professionals. It frequently monitors blood glucose levels and blood pressure for patients with chronic conditions. The data is used to detect medical events that require intervention and can possibly become part of a larger population health study.

Clinical Decision Support (CDS)

Clinical decision support systems analyze data from various clinical and administrative systems to help healthcare providers make clinical decisions. The data can help prepare diagnoses or predict medical events — such as drug interactions. These tools filter data and information to help clinicians care for individual patients Discussion -Health Information Access And Management.

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