What Should the Nurse Do?

Mrs. Johnson, a forty-year-old female, contacts the telemedicine service with complaints of persistent headaches and visual disturbances. She reports a medical history of hypertension and diabetes, currently managed with medications. During the video consultation, Mrs. Johnson mentions feeling fatigued and having trouble managing her blood glucose levels. Her vital signs include a blood pressure of 150/90 mmHg, heart rate of 80 bpm, respiratory rate of 16 breaths per minute, and a temperature of 37.2°C (99°F). Through the telemedicine platform, an AI algorithm analyzes Mrs. Johnson’s symptoms and medical history, providing real-time suggestions for adjusting her diabetes management plan and recommending lifestyle modifications.

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Mr. Klein, a fifty-five-year-old male, arrives at the primary care clinic presenting with symptoms of chronic fatigue, unexplained weight loss, and generalized weakness. His medical history includes hypertension and type 2 diabetes; both conditions are managed with medications. During the initial assessment, his vital signs reveal a blood pressure of 140/90 mmHg, heart rate of 82 bpm, respiratory rate of 18 breaths per minute, and a temperature of 98.6°F (37.0°C). Mr. Klein has a comprehensive electronic health record (EHR) that integrates information from various health-care providers and includes details about his chronic conditions. The nurse, leveraging health informatics, accesses and reviews the EHR to identify potential correlations between Mr. Klein’s current symptoms and his medical history.

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Ms. Long, a sixty-five-year-old female, visits the outpatient clinic reporting a recent onset of shortness of breath and chest pain. She has a history of hypertension and hyperlipidemia, currently managed with medications. During the assessment, her vital signs include a blood pressure of 150/90 mmHg, heart rate of 100 bpm, respiratory rate of 22 breaths per minute, and a temperature of 98.6°F (37.2°C).

To enhance the efficiency of care, the clinic utilizes an integrated health information system. The nurse, recognizing the potential urgency of Ms. Long’s symptoms, swiftly accesses the integrated health information system to retrieve the patient’s electronic health record (EHR). Within moments, the nurse obtains crucial data, including recent diagnostic tests and a comprehensive medication history. The EHR reveals that Ms. Long underwent lipid profile testing and a cardiac stress test two months ago, both of which were within normal ranges. Her prescribed medications, including antihypertensives and statins, are up to date.

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