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Need Of Robots In Hospitality Services After COVID-19

Hospitality industry is an umbrella term that includes lodging, food & drinks, event planning, theme parks, and transportation. The industry requires human-to-human interactions to maintain its operations. However, the spread of COVID-19 has caused a shift in the way humans interact with each other. In order to attract tourists and visitors, the hospitality industry needs to reassure the guests that their visit will be compatible with minimal social interaction and human contact.

This has given rise to the need for employing robots in the hospitality sector. Here are some ways in which robots can be used to suffice the needs of the hospitality industry:

  • Hotel Management: It is a major part of the hospitality sector. Hotel management involves numerous tasks such as concierge, front desk, room service, cloaking, etc. These tasks require human interactions. However, robots can be used to efficiently complete these tasks while avoiding the need for human contact.
  • Touch Less Check-in: Due to the growing need for no-touch technology, hotels are required to adopt new ways of facilitating check-in for the guests. Robotic technology can be used to incorporate convenient options such as fingerprints or iris & face detection instead of room keys.
  • Bookings: Chatbots are commonly being used by many hotel chains and travel companies to assist their customers in completing simple tasks such as making online reservations. However, COVID-19 spread has given rise to the need for making use of robots for in-person bookings as well.
  • Assistance: It is expected for the guests to be highly curious and vigilant about their travel and stay after COVID-19. Robots can be used as assistants at airports and hotels to assist visitors with their queries about safety, travel, ongoing events, etc. The robot assistants can also help the visitors by escorting them to their rooms.
  • Serving Food: Taking order and serving food to guests at a restaurant or hotel requires close human interaction. Service robots can help the hospitality sector in combating this issue. These robots are capable of face and voice recognition to remember the order and deliver food to the concerned guest.
  • Customer Satisfaction: In order to improve profits after COVID-19, hospitality managers are required to find ways for improving customer satisfaction for attracting a larger number of guests. Robots integrated with AI can be of immense help to the managers. They can be used to understand a guest’s behavior by tracking his history of bookings, type of services availed in the past, etc. The robots can use different software to recognize a guest and deliver customized services based on his behavioral history.
  • Security: Security checking at hotels and airports is essential to ensure the safety of guests. Security robots equipped with features such as autonomous detection of concealed weapons can be used to make the guests feel more secure. These robots will enable the hospitality industry to conduct security checks without the need of individual checking by human security staff.

For more information on need of robots in hospitality service, call Centex Technologies at (972) 375 - 9654.

Importance Of Genuine Anonymization Of Patient Data In Healthcare

Data anonymization is the process of protecting private or individual sensitive information by either erasing or encrypting the personal identifiers that form the connection between an individual and stored data. This helps in retaining the data while keeping the source anonymous.

What Is the Need For Anonymization Of Patient Data?

  • Data science including collection and analysis of patient data is of immense importance for improving healthcare. It forms the basis of healthcare research for improving drug discovery, predicting epidemics, designing advanced cures, etc.

However, the law requires healthcare researchers to keep the PHI (Personal Health Information) of people secure. So, the only way of using patient’s data for research is to get their consent beforehand. This places a limitation on the data sets as some patients may decline the consent. Data anonymization lifts certain restrictions as it removes the patient’s identifiers and renders the data anonymous. It provides healthcare researchers the ability to access extensive, coherent, and historic data that can be built upon without damaging patient trust.

  • Second reason that emphasizes the importance of genuine anonymization of patient data is that patients may be reluctant to seek medical attention if they fear that their PHI may be shared with someone. Genuine anonymization helps the healthcare institutes in offering privacy assurance to their patients.
  • An information leak or disclosure that an individual has tested positive for STIs such as HIV/AIDS can invite discrimination or social stigma. Anonymization of such data helps in reducing the risk of such disclosure and maintaining the privacy and confidentiality of patient data.
  • Another reason for incorporating genuine anonymization of patient data in the healthcare industry is to keep the data secure from cyber criminals who may cause a data breach and negatively affect the patients.

What Data Anonymization Techniques Can Be Used?

Data Masking: Real data is hidden by altering values. For example, a mirror of a dataset may be created and the value characters may be replaced with symbols such as ‘*’ or ‘x’.

Pseudonymization: The private identifiers such as name, address, etc. are replaced with face identifiers or pseudonyms.

Generalization: Some of the identifier data is removed while retaining a measure of data accuracy. For example, removing house number from the patient’s address while retaining the road name.

Data Swapping: It is also known as shuffling or permutation. The dataset attribute values are rearranged so that they don’t correspond with original values.

Data Perturbation: The original data set is modified by adding noise to the data and rounding off the numbers such as age or house number of the patient.

Synthetic Data: An artificial data set is created instead of altering the original dataset based on patterns and statistical analysis.

For more information on the importance of genuine anonymization of patient data and methods of implementation in healthcare, call Centex Technologies at (972) 375 - 9654.