Design and Implementation of Advanced Machine Learning Management and Its Impact on Better Healthcare Services: A Multiple Regression Analysis Approach (MRAA).

In the current information and technology era, business enterprises are focusing in performing the process effectively by reducing the waiting time in completing the work, reduce latency and deploy the resources effectively so as to service the patient, medical practitioners, societies, and other stakeholders in an efficient manner. Hence, several organisations are using the emerging technologies so as to obtain high performance and enhance competitive edge. The advancement in machine learning, deep learning, business analytics, etc. enables the health care industry to identify the patterns based on the data collected and create a pivotal position and enhance revenues and profits in a sustainable manner. Machine learning models are considered as computational algorithms which will enable in collected the data, analyze them, and provide the necessary reports to the experts and management in order to make informed decision making. The application of advanced machine learning enables the organisation to process the image effectively, recognize the voice and enable in servicing the customers, process the available data, and identify the patterns so as to make informed decision making. The basic purpose of the study is to analyze the overall implementation of advanced machine learning approaches towards health care services for providing enhanced services, better patient engagement, and support in creating better life for them, the researchers intend to collect the closed-ended questionnaire from employees in different medical centers covering: apprehend the nature of designing and implementation of machine learning approaches in the organisation and understand the effectiveness of these tools in enhancing the sustainable growth and development of the organisation.

Laser tympanic neurectomy for post-cochlear implant pain: A new technique.

OBJECTIVES: To present the case histories and management by LASER tympanic neurectomy of two patients who presented with pain as their only symptom after cochlear implantation, avoiding the need for device removal. CLINICAL PRESENTATION: Two of our patients presented with otalgia, which appeared 6 months after cochlear implantation and resulted in their refusing to use the device. The pain was not controlled by repeated remapping or medical management. Neither patient showed evidence of infection or inflammation around their device. X-rays showed that there were no extracochlear electrodes or evidence of extrusion. One patient had current leakage from two electrodes, which were switched off, but the pain persisted. INTERVENTION: Both patients received an intratympanic injection of 1 ml of 0.5% Bupivacaine to anaesthetize the tympanic plexus in the middle ear and were then observed for a day, found to have relief of their pain and were able to use the implant with audiological benefit for this short time, until the effect of the anaesthetic had worn off. Therefore we planned and performed a tympanic neurectomy on both patients using CO2 laser. CONCLUSION: Tympanic neurectomy removed the pain in two cochlear implant patients who presented with pain which was present only when the implant was switched on.