NR583NP Week 4: Collaboration Café

Preparing the Collaboration Café

Follow these guidelines when completing each component of the Collaboration Café. Contact your course faculty if you have questions.

General Instructions

Include the following sections:

1. Application of Course Knowledge: Answer all questions/criteria with explanations and detail.

• • Describe one source of big data that you are likely to use in your future advanced practice nursing role.
  • Identify the types of information that can be obtained from this source.
  • Examine three ways data from this source can be used to impact client care.
  • Discuss the role of the advanced practice nurse in data stewardship.

2. Engagement in Meaningful Dialogue: Engage peers by asking questions, and offering new insights, applications, perspectives, information, or implications for practice:

• • Respond to at least one peer.
  • Respond to a second peer post.
  • Communicate using respectful, collegial language and terminology appropriate to advanced nursing practice.

3. Professionalism in Communication: Communicate with minimal errors in English grammar, spelling, syntax, and punctuation.
4. Wednesday Participation Requirement: Provide a substantive response to the collaboration café topic (not a response to a peer), by Wednesday, 11:59 p.m. MT of each week.
5. Total Participation Requirement: Provide at least three substantive posts (one to the initial question or topic and two to student peers) on two different days during the week.

Solution: NR583NP Week 4: Collaboration Café

Source of Big Data

One source of big data in healthcare is electronic health records (EHR), a digital medical record for patients. EHRs provide various data and information that can be highly resourceful for big data. These included patient demographics (e.g. age, gender, ethnicity), medical history (past medical conditions, surgical history, family history, and allergy information), medications (current and past medications, supplements, dosages, adherence, efficacy, and side effects), drug and food allergies, lab results and diagnostics (e.g. blood tests, imaging results), clinical notes (progress notes, treatment plans, discharge summaries), vital signs (e.g. blood pressure, heart rate, temperature, and respiratory rate), appointment records, and billing information. This information (Batko & Ślęzak, 2022). The aggregated data from numerous patients enables the identification of health and disease trends, and patterns across different populations thus, informing better planning and allocation of healthcare resources and improved patient care delivery (e.g. placing specialized medical services) (Batko & Ślęzak, 2022).

Three Ways EHR Data Can Impact Client Care

One way EHR data can improve client care is by enhancing care coordination and clinical….Please click purchase button below to get full answer for $5

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