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Sentiment Analysis

In a competitive era, when every industry is trying to reach the pinnacle of success, the healthcare industry too is picking up the pace with enhanced and exceptional Patient Experience

Be it the hospitals, nursing homes, physician practices or healthcare systems, all are laying special emphasis on Patient Satisfaction. Period.

Only healthcare facilities equipped with improved functionality and better convenience, providing whatever modern consumers look forward to, are emerging as the true leaders in the healthcare domain. 

Since patients these days are far more particular than before and have ample options to choose from, it is imperative for healthcare services to be proactive in roping in and hanging on to patients.

And Sentiment Analysis is one of the best ways to do it. 

To start of with Sentiment Analysis

Have you ever wondered what the feedback of your patients is once they leave your medical facility? 

Enters, SPIN NuInsights Model, with its Sentiment Analysis Application that can gather authentic patient feedback and transform them into reports and intuitive charts to help you draw a conclusion where the medical services are lacking or pleasing.

In tune with it, examining trends for different human emotions like sadness, anger, joy, disappointment, etc. by NuInsights Sentiment Analysis Model enlightens a healthcare provider about the present status of patient care services and the areas of improvement.

To cut the long story short, we want to endow healthcare providers with the tool and cutting-edge analytics (known as Sentiment Analysis application) that can nourish and boost their relationship with patients.

So what is Patient Sentiment Analysis?

Simply put, the process of evaluating and analyzing feedback from the patient’s experience (typically based on emotions at the time) is termed as Sentiment Analysis.

Unraveling of opinions, emotions, and reactions of patients based on the practice they just experienced is one of the biggest Sentiment Analysis benefits.

Add to it, such a form of analysis empowers healthcare caregivers with a competitive edge, revamping their service based on the feedback shared.

Furthermore, SPIN’s Sentiment Analysis Application can also be used to observe the texts or comments by patients and their overall experience in the facility, shared on Twitter, Facebook,LinkedIn and other popular online platforms.

The Significance of Patient Sentiment Analysis for Healthcare firms

It enables caregivers to evaluate the genuine notion of patients for them, figure out the gaps in patient experience, and employ corrective measures on time.

Here are a few pointers to support the above statement:

1. Accumulating data on patient experience

Patient satisfaction is the key for healthcare organizations to prosper and Nu Insights’ Sentiment Analysis Application excels in it. 

It analyzes the data accumulated from multiple common complaints or compliments, segment the data based on doctors and other parameters to spot the opportunities for patient care improvement.

2  Measuring performance 

Such analysis takes into consideration the emotions of patients to derive a conclusion about the performance of a medical facility. 

Such analysis classifies patient comments into various categories like places, processes, people, etc., and then gives them scores to uncover what patients actually feel about the facility services.

For instance, Nu Insights Sentiment Analysis model analyses the frequency of words used by the patients and selects only the most used words left in the comments. 

Here are a few examples:

  • We waited in the queue for a long time (Negative feedback)
  • Good staff and less waiting time (Positive)
  • Nice services but certain aspects need to improve(Neutral)

Based on the above such comments from patients, the Nu Insights Model determines whether the healthcare practice has any scope for improvement or it is going downhill.

Benefits

  • Insights into the performance of a healthcare facility are one of the biggest benefits of Sentiment Analysis. The evaluation of collected data gives a clear picture of what patients actually expect from your practice, how are your employees seen, and other aspects of the management.
  • Generating authentic and quantifiable data regarding the staff about their performance motivates employees to do better in the future. In case of negative comments, the gaps can be fulfilled by the staff. The bottom line is, as long as employees are motivated and get proper feedback for their hard work, patient care is bound to improve.

How Nu Insights Uses ML for Sentiment Analysis

Nu Insights’ Sentiment Analysis model can give you a clear idea of what patients are thinking about your practice by gathering feedback from various locations and using ML to analyze and use the data to make charts and reports.

Here is an example, how our Nu Insights’ Sentiment Analysis model applies to healthcare business scenarios.

A leading hospital chain in the US witnessed declining patient satisfaction to a significant level and wanted to incorporate the latest ML and Analytics trends to comprehend what opinions patients had about the facility. 

In this regard, effectively using Advanced Analytics to understand the root cause of the issue and creating a mechanism to track the same in a bid to timely correct customer satisfaction was the primary approach of SPIN.

 Scenario

With multiple facilities operating under the hospital chain, proper tracking and standardization of its operation became quite challenging and difficult. With an alarming fall of patient satisfaction leading to higher attrition, management decided to get to the bottom of the issue and address it.

Challenges

  • Removing unstructured data from different platforms
  • Same comments on different platforms
  • Determining fake reviews

Solution

Patient comments and reviews shared across different platforms like social media, review forms, blogs hospital websites were accumulated and were filtered for clarity, authenticity, and relevance. Then these comments were subjected to NLP for further filtration.

Results

The gaps that required quick attention were spotted and quick changes were applied in the operations, leading to enhanced customer satisfaction. Not only best practices for business were determined and standardized, the weekly tracking of the facility operations was also streamlined.

To improve healthcare, Sentiment Analysis is needed

Patient satisfaction takes the front seat when it comes to measuring the achievement of your healthcare practice and is always the primary focal point of any marketing campaign.

For marketing campaigns to prosper and reap necessary results, physicians, health centers and healthcare facilities can use Sentiment Analysis to take their clinical services to the next level, by analyzing the exact expectation of patients.

At SPIN, our healthcare marketing strategies are integrated with programs that boost patient experience significantly.

After all, it is a satisfied patient eventually lead to an increase in revenue.

 Why you want your Healthcare website to show up at the top of Google’s search results?

  •  80% of patients turn to search engines (Yelp, Google, Bing ) when finding a health practitioner
  • 70% of searchers click on one of the first three entries if your hospital or treatment center isn’t in the top three, you’re losing patients to your competitors.
  • 75% of consumers turn to a search engine (Google,Yahoo,Bing) when they’re looking to solve their healthcare queries.

SPIN  AI software is constantly evolved and tailored  specifically for the healthcare industry with patient acquisition, retention marketing, and practice insights in mind, helping providers connect with more patients.                                 

And, moreover as our partner, you will also have access to the latest solutions, transparent reporting, unlimited content, technology upgrades, dedicated support. Your brand will be taken care of with feedback on how to grow your practice from like-minded people who are medical marketing experts.

Let’s look at some of the Best Digital marketing tactics for the healthcare industry. 

Digital marketing tactics
Best Digital marketing tactics for the healthcare industry

SPIN team of digital marketing professionals, mobile app developers and web design experts will assist you to achieve and maximize the best results for your business. If you are looking to enlarge your medical practice with more patients to your health clinic or hospital, you’ll need to create a medical and health marketing strategy that fits your goals and your budget.

 The Digital Journey for Health care                                       

Patient Analysis Insights
Digital Journey for Healthcare
  •  Over 60% of consumers say that information found from social media affects the way they deal with their health.
  • Google’s Think Insights has shown 119% year-over-year increase in YouTube traffic to hospital sites.     
  • 75% of adults say online ratings are important to their decisions about provider choice
  •  35% of patients says that their choice of a medico is affected by positive reviews
  •  37% avoid doctors due to negative reviews

Most importantly,how we can help you?

Promote medical practice by strategic healthcare marketing ideas.

  • Tracking your patient walk-in’s
  • Analyzing how much patient friendly environment and staff
  • Take control of patient feedback
  • Profile listing management
  • Care leveraged Inbound marketing
  • Custom website designing  aiming patients and scheduling their appointments
  • Out-patient/In-patient billing process time
  • Out-patient refilling tablets time
  • Targeting the right people at the right time with the right message
  • Comparison with competitors
  • Average waiting time of an outpatient

 

Artificial Intelligence - Leading the way towards global development

Humans have already been taken a huge leap towards an advanced future while copying human intelligence and marking it up with machines. 

Artificial Intelligence and Machine Learning bring great potential to change several situations that the world is facing today. 

While the technology has embarked it’s impact outcomes to both general use and industrial use, Artificial Intelligence’s is a much-trusted solution to fight against terrorism globally.

Innovation has always helped humankind take a step ahead in the future and transfer knowledge into applications. 

Machine automation along with a replica of the human intelligence to understand, learn and react has revolutionized industrial operations and a lot more. We very well know the fact that data is the fuel that drives most of the daily operations over the internet and into our daily lives. With more data, machines now can learn and adapt to its users.

In a recent conference at Minsk, organized by the United Nations Office of Counter-Terrorism (UNOCT) and Belarus, Artificial Intelligence was considered to be a cutting-edge solution for dealing with global terrorism. Vladimir Voronezh, Under-Secretary-General for the UN Counter-Terrorism Office, declared that the international community is utilizing artificial intelligence and machine learning capabilities to track down criminal and terrorism data globally.

The recent trends in Artificial Intelligence find its way to different sectors but mostly are leveraged by the government and law enforcement bodies to deal with national threats. This is itself a great leap for the technology. Here is a list of four latest trends that are today widely accepted by business owners, the government, security agencies, etc.

  1. People Analytics: Pouring on the fuel of data, artificial intelligence can do miraculous things. Through AI, business and organizations can harness the data of people enrolled with them for any targeted campaign.
  2. Algorithmic Website Personalization: Ever noticed how YouTube personalizes its home page as based on what you like or prefer to watch? This is all AI and machine learning. 
  3. Automated Customer Service: Retrieving customer data can help businesses provide the most relevant marketing campaigns, product display and a lot more. AI will help in customizing the customer experience. 
  4. Automated Resource Management: AI learns how to organize and allocate their subjects.

Given the present scenario, it is imperative to boost the exchange of expert knowledge on technologies such as Synthetic Biology, 3D Printing, Robotics, the synthesis of the human face

Nanotechnology, etc. to identify risks before-hand and respond in a jiffy.

At SPIN Strategy, we have experts of Robotics Process Automation, AI, and Machine Learning who can not only guide you in these complicated routes of business but also aid you in meeting your quest.

Before we dig deep into the nuts and bolts of MLP (Multilayer Perceptron), it is imperative to get the hang of neural network, to understand how it helps businesses get a major face lift.

Although the concept of the neural network is not likely to raise too many eyebrows out of ignorance, still people typically associate scientists conducting neurological research, with the term. In reality, a neural network is nothing but a smart system, which is steered by Artificial Intelligence (AI).

The most frequently used neural network these days, from the perspective of business, is MLP (Multilayer Perceptron). This neural network captures the most complex data and presents it in the simplest form, with the help of historical data.

Point to note- More than an individual, it’s the companies that get benefited out of MLP.

Companies prefer using MLP for business

If we go by market reports, companies use MLP in ways more than one, based on their business model. For instance, LinkedIn uses it to detect spam, while other companies use it to locate better products for it clients.

Add to it, MLP neural networks provide marketers with significant insights regarding the performance of the marketing initiatives.

Some of the uses of MLP by big shots of the industry include:

  • Amazon-use MLP for recommendation purposes
  • Facebook-use it for face recognition
  • Google has been using it-in YouTube, Google Cloud, Video Intelligence, etc.

This overstates the fact that MLP is typically good for business. Read on to get convinced how MLP can benefit your business in ways you have not yet imagined.

Top 4 benefits of using MLP in business

AI and its application is prevalent everywhere. A smart business leader can never overlook the impact of AI and its applications, if his/her prime objective is to cope up with the changing business landscape.

Here are the top 4 reasons why MLP is a must in your business to cross its boundaries of growth.

Identifying patterns in images

With machines now able to identify images, business has taken a big leap, and almost every company worldwide, require pattern recognition facility.

Recommendation option

Most online companies make money via the recommendation of products/services, like Amazon, Netflix, Walmart and many more. 

The fact that the use of recommendation engines opens doors for targeted and loyal customers along with increased sales, makes it all the more important. Now imagine these recommendation models being modified by more intelligent machine learning with the use of neural networks- Yes! more loyal customers and more sales.

Avoiding customer churning

Churn rate (percentage of customers who cease to use a product/service), is something every growing organization is worried of. For some, shrinking churn rate showcases a positive impact on the revenue chart.

Provided that a business is equipped with rich customer data, machine learning models together with MLP can help point out the complex usage patterns and find out the churning customers.

Advanced sales predictions

No matter businesses do not like to forecast sales, the fact that customers can be fickle and their preferences change, cannot be neglected. In tune with this, to tap into the new trends and moods of the customers, companies make predictions, which is highly time-consuming and hardly ever accurate.

If MLP is used to analyze huge data and make specific predictions, this could change the sales numbers of companies, in a good way.

The promising future of business with MLP

In the quest to come up with an efficient replicate of the human brain, MLP is a great step forward.

Covering the most arduous business area, MLP is the best tool for pattern recognition. On account of its increasing popularity, in the last few years a number of companies have invested in an artificial neural network. This a significant step to put an end to numerous business problems. 

If put to good use, MLP can bring significant change in digital marketing, healthcare, translation service, trading, etc. 

Have you found the relevance of MLP with your line of business? Then contact the professionals at SPIN Strategy who can guide you how to make the most of this neural network for business. 

Visit today! https://www.spinanalyticsandstrategy.com/ 

It is a time in history when devices that rove around the globe is empowered with a plethora of multi-functional technologies that can capture gestures, show clear readings to proximity temperature, etc. the list just goes on.

Internet of things is to be held accountable for such versatility, in bits and pieces, but does that clearly throw light upon the importance of this technology? With the ‘Big Bang’ of data and connected devices (the key foundation of IoT), the business sector is all warmed up.

However, the point of discussion over here is that in the absence of understanding to interpret data, and comprehend which one should take a lower priority, IoT is nothing but an unstructured flow of ineffective data.

The absence of AI deployment in IoT enabled devices stands as a ball and chain towards the blistering development of technology that put a veil on the real prize of humankind the astonishing transformation prospects, which IoT offers.

In support of this argument, market survey reports state that more and more organizations have turned to AI to not only improve but also change their business operations.

AI boosts IoT enabled devices

If a company has picked up pace in recent years, it is quite obvious to say that the business organization has inculcated rightful amalgamation of AI and IoT. For instance, Uber uses AI to connect the right passenger with the driver, thanks to customer behavior recognition and autonomous driving approach of data science.

For a highly operated IoT device, in order to comprehend what’s really taking place around a device and to respond dynamically, AI is the key tool. For this, AI needs to be deployed in the right manner, in a bid to realize the IoT offered benefits.

Key Considerations for using AI in IoT

To incorporate AI and derive maximum value from the data IoT makes available, business needs to consider some key steps.

  1. Consider how to incorporate AI training into the process
  2. Ensure the AI systems are constantly refined and enhanced

To conclude with AI in IoT

AI training is as crucial as algorithmic coding for traditional systems, however, in the present scenario that is a worldwide challenge.

With the right training model, IoT models can balance a pragmatic approach toward devices that have human intervention and contribution at the forefront.

If your business has IoT enabled devices, it is quite likely that you will aim to upgrade it with AI, but only with the helping hand of a professional.

SPIN is that professional you seek. Contact today!

AI FACEAPP Challenges

As far as the fragment of human imagination travels, speed that up into hundred times more and still, you would not be in calculative terms of understanding to what extent can modern technology lead up to! Barring all limitations, technology evolution in the 21st century seems to be unfolding in such an escalating manner that even the direst of things are not impossible attainments for Scientists and Data Engineers.

Highlighting under this context, one of the massively growing and pervading all sectors of business and lives, is the emergence of Artificial Intelligence. With the sarong demands of the youth, business professionals, and corporate leaders for more upgraded versions of the technology, Artificial Intelligence does complete justice to the aforementioned productively. Additionally, the complimenting elements of more expediency, more flexibility, and more ease of use with AI make it even more incredible.

Here are few of the most in-trend technologies accelerated by artificial intelligence:

Deep Learning

Eminently categorized as one of the best forms of Artificial Intelligence, Deep Learning performs developmental actions that produce algorithms known as artificial Neural Networks. The base model of this has been stimulated by the human brain function and structure. Amplifying much ahead than the equivalent progress of Machine Learning, Deep Learning has outdone 40 fold times more between the years 2015 and 2018. Sectors like autonomous vehicles, computer vision, and automatic text generation have Artificial Intelligence technology at its peak with deep learning being its core use of operative mode.

Facial Recognition

Being regarded as the future of Artificial Intelligence, facial recognition is a colossal breakthrough in the field of technology. Its mounting popularity and progressive growth in the market leaves no room for doubt about its current functionality. With the advent of the year 2019, facial recognition takes giant leaps and dominates the urban mass with its significant power of technological autocracy. To state an example from the current hour, AI-based fun application known by the name FaceApp is a direct testimony of the factual existence of AI’s exponential growth. The app analyzes your face and shows your aged look due to the app’s functionality based on AI + Analytics and ML.

Cloud

Enhancing and streamlining business operations and managing data storing systems superfluously, the cloud is a fantastic example of AI-empowered technologies. The global expansions of MNC’s have pushed forward the occurrence of the largest public cloud adoption in the year 2019.

Therefore, transformations of businesses digitally have laddered up to a whole new level that the future predictions are even challenging to fathom. Building a concrete reputation as a leading AI-empowered business solution provider, SPIN Strategy is a name that is going to be your need of the hour. With a highly qualified and certified competent team of engineers and Data Scientists, SPIN Strategy understands the essence of the AI revolution and its impact on business and leaves no stone turned to improvise operational excellence.

Interested to know more? Get in touch! https://www.spinanalyticsandstrategy.com/