3 Most Important Challenges to be considered while using social media data for Medical & Healthcare research

3 Most Important Challenges to be considered while using social media data for Medical & Healthcare research

INTRODUCTION

Social media channels are being used by patients for switching Healthcare Analytics information, involvements with their chronic condition, and pursue information from other people or establishments, for example,

· NHS Choices (www.nhs.uk)

· Joining the Conversation describes Big White Wall (www.bigwhitewall.com)

· Mental health SNS that facilitates peer-professional interactions

· National Institute for Health & Care Excellence (NICE)

· UK government (https://www.gov.uk/government/publications)

· NHS England Publication stores (www.healthline.com)

Given that there is a high usage of social media for exchanging health information, it offers new opportunities between and amongst healthcare professionals, patients, and the public. Data Analysis on Healthcare service information ‘empowers’ patients and the general public to make responsible decisions.

Medical Data Analytics

1. Which is the most common disease category shared in public posts?
2. What kind of information can be extracted from Social networking sites?

3. What are ethical guidelines to be adopted for extracting and analyzing health behavior?

Healthcare Analytics

According to the Fortune Report (March 18, 2019), the parliamentary group called on the social media platforms to give researchers all the Data Analyst they need to analyses the problem and the following the polluter pays principle — to pay a 0.5% levy on their profit to fund a “Social Media Health Alliance”.

· Study designs using social media-derived data should be transparent and readily available to the public.

· Researchers should respect the context in which content is sent.

· All data that can be used to recognize tweet authors, including geolocations, should be available.

· No information collected from social media should be used to procure more data about tweet authors from other sources.

· Study designs that necessitate Data Collection from a few personalities rather than combined analysis entail Institutional Review Board (IRB) approval.

· Researchers should adhere to a user’s attempt to control his or her data by respecting privacy settings.

CONCLUSION

Social media information has the benefit that it often has a built-in communication network back to patients. For example, Facebook now allows users to flag posts within their system that they think may suggest suicidal ideation. Facebook then anonymously delivers resources for entities at risk. This study has several boundaries. Constellations of predictive words often do not represent causal mechanisms, and the findings are correlational. However, in enlightening, what people think, feel, and do social media capture sensitive, cognitive, behavioral and environmental indications that have substantial Predictive Analytics that to be validated and are otherwise rationally elusive to researchers and clinicians.