Assignment: Telemedicine System

Assignment: Telemedicine System
Telenursing and telemedicine will only be successful if patients engage in the program. You have been asked by your manager to pilot a program aimed at improving transitions of care using the new telemedicine system recently implemented at your hospital. What are some of the ways that you can encourage both patient and provider engagement to ensure the pilot program success?
Question 47: A 26-year-old woman is seen with complaints of irregular vaginal bleeding. Which of the following tests should be the first priority?
a. Pregnancy test
b. Pelvic ultrasound .
c. Endometrial biopsy
d. Platelet count
Question 48: A 45-year-old woman is seen in the clinic with complaints of a vaginal discharge. The clinician identifies clue cells on the vaginal smear. Which of the following diagnoses is associated with this finding?
a. Trichomonas
b. Bacterial vaginosis
c. Human papillomavirus (HPV)
d. Herpes simplex virus (HSV)
Question 49: Julie, aged 50, has migraine headaches, frequent asthma attacks, coronary artery disease, and hypertension. Which of the following prophylactic medications would you order for her migraines?
a. Propranolol
b. Timolol
c. Ergotamine
d. Topiramate
Real-time doctor-patient assignment in a telemedicine system
The aim of this paper is to address and overcome the limitation in number of doctors by assigning patients efficiently in Telemedicine System. In this paper, we present mathematical formulation and an algorithm to address the problem of effective and resourceful mapping between patients and doctors for online Telemedicine System so that overall patient wait time can be minimized. Our proposed algorithm is based on providing efficient allocation of patients to doctors considering two primary factors i.e. patient handling time and workload (queue size) of doctor. We compare our algorithm with baseline algorithm (Round Robin) and calculate percentile average difference of the mean average time of both with constraints of limited, moderate and maximum availability of resources under the observation in variation of patient handling time. Our simulation based evaluation shows increase in efficiency from 0.0% in worst case to 110.84% in best case when compared with Round Robin. Therefore our proposed algorithm can help to improve doctor’s efficiency and minimize patient wait time. The improvement in the assigning patients to doctors in efficient way yields to effective resource utilization of scarce health resources.

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