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10 Shocking Ways AI Could/Is Shape(ing) the Health Insurance Industry (in the Nearest Future)
by Graham Foster

The insurance business is experiencing a seismic shift in operating strategies.

While the industry has always depended on data to generate business decisions, the vast amount and variety of data now readily available is altering how the insurance business is run.

 

That’s especially relevant to healthcare in the UK since the nation’s health service provides residents with a form of insurance including addiction treatment at ARC Rehab Portsmouth.

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10 Shocking Ways AI Could/Is Shape(ing) the Health Insurance Industry (in the Nearest Future)

by Graham Foster

The insurance business is experiencing a seismic shift in operating strategies.

While the industry has always depended on data to generate business decisions, the vast amount and variety of data now readily available is altering how the insurance business is run.

That’s especially relevant to healthcare in the UK since the nation’s health service provides residents with a form of insurance including addiction treatment at ARC Rehab Portsmouth.

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The Future

ARC article author Graham Foster

Recent research by a respected services firm states that nearly 90 percent of insurers are spending a minimum of $5,000,000 per year on AI every year, and the UK’s National Health Care Service isn’t ignoring the benefits offered by AI. The trend isn’t likely to slow down anytime soon, and the odds are solid that all insurers will continue to expand their use of AI sooner rather than later.

Insurers are finding new and innovative ways to use AI, including everything from making better underwriting decisions to fraud management being included. There are numerous ways the National Health Service is planning to expand their use of AI.

This technology will find it’s way to the UK and substance misuse services like us at ARC drug rehab Portsmouth could also be impacted, potentially in a positive way as we move further into the 21st Century.

1. Improving Care Experiences

The NHS is developing an interface designed to allow industry experts, research facilities, and start-ups to share their data in ways that benefit suppliers, care providers, and patients. The ultimate objective is to drive innovation that fuels new and exciting care options today and well into the future.

2. Speeding Up Cancer Screening Results

3. Talking to a Robot Will Be Normal

Interacting with devices is no longer unusual. Just about everyone today is using smartphones and tablets to communicate with other individuals and businesses. However, the advent of intelligent chatbots will radically alter the way communications are conducted.

AI is making it possible to replace some human interactions and, at the same time, provide a level of service beyond the capability of humans. That goal is achievable because AI creates an environment where chatbots can hold a genuine conversation with NHS patients and generate solutions to problems faster and more efficiently than is normally possible with human interactions.

Recent research by a respected services firm states that nearly 90 percent of insurers are spending a minimum of $5,000,000 per year on AI every year, and the UK’s National Health Care Service isn’t ignoring the benefits offered by AI. The trend isn’t likely to slow down anytime soon, and the odds are solid that all insurers will continue to expand their use of AI sooner rather than later.

ARC article author Graham Foster

Insurers are finding new and innovative ways to use AI, including everything from making better underwriting decisions to fraud management being included. There are numerous ways the National Health Service is planning to expand their use of AI.

This technology will find it’s way to the UK and substance misuse services like us at ARC drug rehab Portsmouth could also be impacted, potentially in a positive way as we move further into the 21st Century.

1. Improving Care Experiences

The NHS is developing an interface designed to allow industry experts, research facilities, and start-ups to share their data in ways that benefit suppliers, care providers, and patients. The ultimate objective is to drive innovation that fuels new and exciting care options today and well into the future.

2. Speeding Up Cancer Screening Results

3. Talking to a Robot Will Be Normal

Interacting with devices is no longer unusual. Just about everyone today is using smartphones and tablets to communicate with other individuals and businesses. However, the advent of intelligent chatbots will radically alter the way communications are conducted.

AI is making it possible to replace some human interactions and, at the same time, provide a level of service beyond the capability of humans. That goal is achievable because AI creates an environment where chatbots can hold a genuine conversation with NHS patients and generate solutions to problems faster and more efficiently than is normally possible with human interactions.

4. Behaviour Patterns Will Be Tracked Easily

Outcomes for most treatments depend on the patients’ behaviours. While the majority of patients cooperate with treatment protocols, others tend to deliver half-hearted efforts that don’t deliver the optimum results.

AI permits care providers to better tract patient behaviours and develop predictive models that make it easier to determine what types of care current patients are likely to require in the future. That includes estimating how many patients will require surgeries, therapy, and other forms of aftercare.

4. Behaviour Patterns Will Be Tracked Easily

Outcomes for most treatments depend on the patients’ behaviours. While the majority of patients cooperate with treatment protocols, others tend to deliver half-hearted efforts that don’t deliver the optimum results.

AI permits care providers to better tract patient behaviours and develop predictive models that make it easier to determine what types of care current patients are likely to require in the future. That includes estimating how many patients will require surgeries, therapy, and other forms of aftercare.

5. Facial Recognition May Be Used to Determine Risk Levels

One of the newest ways to predict risk levels is facial recognition. AI makes it possible for the NHS to estimate a policy holder’s future healthcare needs based on their facial features. Since this strategy is still in its infancy, it remains to be seen how accurate those predictions will be, but insurers everywhere are taking notice and exploring facial recognition as a risk management tool.

6. Determining Which Care Options Will Be Most Successful

In the past, many patients have been admitted to hospitals for care when other options may have been more appropriate. AI uses a variety of predictive strategies to determine if a hospital admission provides the best care option or if other community care options might be better choices.

While it’s not, at this point, a good idea to use AI as the final decision maker in such cases, the tool does provide insights care providers might not immediately see. The goal here is to ensure the patient receives the needed care without burdening the system unnecessarily. 

7. Identifying Patients at Risk for Post-Operative Complications

8. Automate Systems So First-Line Caregivers Have More Time to Spend With Patients

Everyone has experienced times when caregivers simply don’t have enough time to devote to individual patients. AI’s abilities are expanding to the point where many systems that consume too much time can be better automated. That means caregivers spend less time devoted to generating records and more time with patients.

Again, a patient’s overall experience with the NHS isn’t always what administrators would like to see. If there are strategies that can improve outcomes without generating additional expenses, it pays to consider using them.

9. Data Processing Will Flow Seamlessly

While this section is somewhat related to the preceding one, there are distinct differences. The NHS has long been held hostage by the need to generate and transmit large volumes of data.

the future of data processing in health care

Even after data is collected, it must be put to use. That’s not easy when you’re dealing with the limitations of human analysts. When using AI strategies, insurers have access to an incredible array of data that’s never been available in the past.

Perhaps more importantly, that data is more accurate than ever. If you’re making predictions based on available data, that information must be accurate and comprehensive. Data is knowledge, and knowledge is always powerful.

That suggests collecting and using data more effectively improves all levels of the NHS, not just patient outcomes. Efficiencies that have been elusive in the past may now be attainable using the abilities of AI.

collecting data and processing data in the near future

10. Personalized Care Options are Enhanced

Many patients view the NHS as impersonal and uncaring. In some cases, there is justification for that type of judgement. However, AI systems can be used to provide a far more personalized care delivery system.

For example, patients may be required to take certain tests based on the protocols currently in place. With the help of AI and its vast bank of data, unnecessary tests may be more easily avoided. Instead, diagnostic tests may be more carefully applied to avoid inconveniences for patients and wasted budget dollars for the health care system.

Patient care plans can be personalized to meet their specific needs and updated quickly as conditions change. That’s not easy without the help of AI. While healthcare providers strive to provide quality service, the volume of patients makes providing truly personalized care difficult if not impossible.

AI will affect the future of staff using the new hardware and software in health industry

Changing the Healthcare Infrastructure is a Must

If AI is to be fully implemented and used to enhance patient outcomes, staff members at all levels will need to be trained in how to use the systems. AI offers medical professionals a range of ways to improve recordkeeping while maximizing the time available to interact with patients. However, there are always going to be issues that need to be addressed.

Day-to-day tasks can certainly be made simpler to deal with, but that doesn’t mean data entry and updating won’t be necessary in some form. The types of care provided and how that care will be delivered are certainly problems that will need to be addressed, but AI provides new and exciting options to make the care delivery system far simpler.

Of course, patient privacy is always going to be important, and AI’s algorithms make it relatively simple to make changes where and when any gaps in security are discovered. While AI for healthcare isn’t as robust as everyone would like, it’s already proven to be better in many respects to the currently used systems.

Dealing With Change Won’t Always Be Easy

To this point, the adaption of AI has been, at the most, minimal. However, insurers of all types that wish to remain competitive will be required to explore the benefits of AI soon. Some companies are using AI to streamline their operations, but most have barely touched the surface of AI’s potential.

The NHS, while having somewhat different needs than private insurers, still must face the need to enhance the organisation’s services and, at the same time, keep operating costs as low as possible

Dealing With Change Won’t Always Be Easy

To this point, the adaption of AI has been, at the most, minimal. However, insurers of all types that wish to remain competitive will be required to explore the benefits of AI soon. Some companies are using AI to streamline their operations, but most have barely touched the surface of AI’s potential. The NHS, while having somewhat different needs than private insurers, still must face the need to enhance the organisation’s services and, at the same time, keep operating costs as low as possible.

Data experts are predicting AI will be responsible for making the majority of insurance industry decisions within a very few years. Insurers will always face risks, but AI makes it possible mitigate those risks and still provide a level of service policyholders demand. Those strategies can certainly be put to good use by the NHS.

researching data and evaluating statistics

Do Patients Object to AI?

Since there isn’t a lot of data currently available, many of the current estimates are based on surveys rather than actual experience. However, there are some statistics NHS clients might be interested in.

First, as most people might expect, younger people are far more likely to accept the use of AI in their care. Well over half of all 18 to 24-year-olds are willing to engage with artificial intelligence, including care-providing robots, than older residents. However, even those over 55 are somewhat willing to discuss AI and how it can impact their healthcare experience.

It’s also interesting to note that residents of Scotland and Wales are more willing to accept AI as an important element of their healthcare. That suggests the NHS will need to better educate residents to the healthcare benefits provided by AI before integrating systems that might minimize a patient’s contact with a human provider.

Face-to-face interactions between care providers and patients aren’t likely to disappear anytime soon, as patients place a great deal of value on their relationships with doctors and other care providers.

talking to humans rather than to robots

But, what will the future hold? As patients become more familiar with AI and its many uses in providing quality health care, will more people become willing to accept Ai and even consider undergoing procedures with robotic caregivers? Like everything else, change takes time, which means the future of AI in delivering health care at all levels is likely to become acceptable to the majority of patients.

So, what does all this really mean? Insurers of any kind can’t function unless they fully understand their exposure. That suggest every insurer, including the NHS, must be better able to predict risks and monitor claims in real time to remain effective and efficient. Organisations that embrace AI and make use of data collected have a far better chance of weathering the challenges confronting healthcare in the coming years.

will health care staff be replaced by robots
imagine talking to a robot about your symptoms or sorrows

Embracing New Challenges and Opportunities

There is always a potential for technology to be abused, but AI also presents unique and exciting possibilities for care givers, including those at the NHS. Controversial concepts like genetic testing and similar strategies will certainly continue to face opposition from many individuals both in and out of healthcare delivery systems.

However, the promise of saving lives and reducing suffering by taking advantage of AI’s potential is certainly worth exploring further. As with many things in life, some compromises may have to be made to take advantage of the potential the healthcare services are seeing.

Simple screenings and more sophisticated diagnostic testing promise to be easier and more accurate with the application of AI. The possibilities are interesting, and healthcare providers around the country are certainly going to look closely at what AI has to offer and whether their patients will be willing to embrace the technologies involved.

The next few years are likely to see AI employed throughout the NHS, and its impact on care and cost containment will certainly be subjected to serious scrutiny by patients, caregivers, and government officials.

 

Adapting this technology to also include the needs of social care clients would be an interesting project. Particularly in view of the fact that drug and alcohol treatment often runs concurrently with, or follows hospital/medical assistance.

At ARC Project Portsmouth, we would be interested in exploring this further and together with the cooperation and advice from the CQC, AI might prove to be a valuable tool in the drug/alcohol treatment arena.

Whether it’s you or someone you love struggling with alcohol or drug addiction, ARC is here to help move beyond addiction and live a normal life. We’re open 24 hours, 7 days a week. Get in touch now. Help is available.

 
Graham Foster is the Founding Director at ARC Portsmouth

About the Author

Graham Foster
Director of Treatment Programme

Expert of Addiction Psychology
Published Addiction Author
UKCP Contemporary Psychotherapy (Intermediate)
Master Practitioner of Neuro-Linguistic Programming
20+ Years helping People move beyond Addiction 

About the Author

Graham Foster is the Founding Director at ARC Portsmouth

Graham Foster
Director of Treatment Programme

Expert of Addiction Psychology
Published Addiction Author
UKCP Contemporary Psychotherapy (Intermediate)
Master Practitioner of Neuro-Linguistic Programming
20+ Years helping People move beyond Addiction 

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