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Aditya Tandle

Aditya Tandle

Insta Hair Transplant, India

Title: Critical analysis of trichology in healthcare industry as an upcoming market

Biography

Biography: Aditya Tandle

Abstract

Statement of problem: Is Trichology an emerging facet of the Healthcare industry today, transforming the industry as a whole? To answer this a few analytical facts must be considered. As an industry, health care follows some parameters which form its core system. These parameters when scrutinized by the health care analytics tools, helps in generating accurate business and clinical insight. This is what consequently paves the way towards achieving a desired outcome, in this case tricology as an emerging market for the industry. Currently on whether Tricology makes the cut for a promising market for health care industry, will be answered with clarity on close analysis of three vital parameters: quality, performance and safety facets.

Methodology and Theoretical orientation / Market Analysis methodology: Employing an Analytics system framework, a fairly good inference may be drawn about, if Tricology is ready to be the next big thing in the Health Care industry. The traditional SWOT analysis will further filter the information and add to the process of evaluating if the Health care industry can afford to let Tricology become its part.

Findings: Quality analytics, data mining or accumulation and processing of the same and human resource are the essential elements that make any segment a force to reckon with. The same applies to Tricology too. For Quality analytics, the goals of the triclology industry along with the strategies that are engaged in to achieve the same, must be measurable.

Conclusion and Significance: For Tricology to become a significant business arm of the healthcare industry it must be recognized that today sustainability is the biggest challenge. To meet the expected quality, work out the finance part and comply with the regulatory requirements, both the healthcare industry and the Tricology segment must work hand in hand. Data must be optimized and used effectively, analytical tools need to be adopted for effective real time decision making and innovation and trial and error must have its own space, if athis evolution of Tricology into an integral part Health care industry has to happen.