Healthcare Solutions Archives - W2S Solutions Blog

Conversational AI: The Next Frontier of Digital Transformation in Healthcare

Posted by: Arul karuppannan Posted on: May 22, 2020 AI Chatbots , Artificial Intelligence in healthcare , Conversational AI in healthcare , Digital Transformation in Healthcare , Healthcare App Development

In Healthcare Industry the AI-powered conversation Chatbot is offering patients a convenient way for remediating from personalized care and improved medication experiences. The present-day AI Chatbots are built to be user-friendly and can easily track the personal health data of a user participant based on the conversation itself. With the prompt level of answers and information accrued from AI Chatbots it should be only a matter of time when most people would become health conscious and dependent upon chatbot interactions. This should achieve the healthcare digital transformation trends with certainty accompanied by ‘n’ number of AI-based voice assistants and chatbots.

Moreover a lot of savvy healthcare organizations are making plans strategically to deploy conversational AI chatbots for providing customer support and also towards extending their patient engagement services. Early adopters get one real advantage by using conversational Artificial Intelligence in healthcare is that they can access to clinical engagement and better know their patient’s wellbeing in advance.

Essentially the benefits of digital transformation in healthcare is a prolonged journey where the level of trustworthiness has to be raised through removing the wide presence of legacy systems and start moving towards a modern healthcare infrastructure.

Some of the mentioned below AI Chatbot Assistants and Utilities are the upcoming new frontiers of digital transformation in the healthcare industry:

1. AI Chatbot Administration

The use of AI Chatbot is aplenty and utilizing them for guiding visitors on healthcare websites is simply tremendous. It should enable users to easily access to all healthcare services quite efficiently. Things would get more convenient for patients when it comes to scheduling appointments, reminders, and reordering medical prescriptions.

Typically chatbots are imposed with only a fewer level of privacy along with HIPAA restrictions which will leave every user to confidently ask for all kinds of health-related issues without any hesitation. This kind of chatbot application will soon provide the patients with a strict level of administration and customer support facility that can be expected anytime in the near horizon.

2. Patient Engagement

Normally chatbots were used actively in capturing customers and now with the integration of AI in healthcare this tool might be well utilized for captivating patient’s interest all through sending precise answers and extending the tech support for the wellbeing of homecare patients. The virtual connection between the chatbot and patient is strengthened literally with the presence of artificial intelligence technology along with symptom-based treatments. On the contrary when visiting a doctor for diagnosing a patient more often than not the end result is likely to be a follow-up journal without any imparted knowledge on the infectious disease thus making things even worse.

Therefore conversational AI for healthcare is forecasted to be a reliable solution for the infected patient earning them the immediate sigh of relief instantaneously. In this highly demanding world, the healthcare industries are in a helpless state and enforced to progress with digital transformation trends and meet up to consumer’s healthcare expectations through deploying Conversational AI bots.

3. Mental Health

The good purpose of developing an AI chatbot for healthcare is to essentially bring the humanized experience for patients. These levels of mutual interactions result in solving the anxiety of a patient and then build better mental health. The patient also gets the freedom to share their personnel experiences with the chatbot and then progress ahead to lead a healthy way of existence.

In addition, the patient can also request for a more medical experience that relates to the prior discussion with AI chatbot and then join in a call conversation with a healthcare professional and resolve painstaking issues at great clarity.

4. Research Treatments

Conversational AI is built-in with an ability to machine learn and then utilize the power of data remarkably well to produce the IT Solutions for Healthcare Industry. While a patient is seeking help it will be literally difficult for doctors to furnish the bearer with all the experimental solutions at once without the use of AI & ML technologies. It is also true for the healthcare researcher who engages in finding the right solution.

Beyond these technical complexities all the data presentations will become readily available in automated forms that having incredible AI outreach and support. No wonder this automation process will have compatibility freely across AI voice assistance and deliver information regarding treatment solutions in a more personalized way.

5. Claims and Billing

Basically doing with the claim procedures of medical bills or even an insurance policy is rather a cumbersome task. With the presence of Conversational AI these tasks can be easily done. The significance of using an AI chatbot is that you can effortlessly know the detailed coverage of insurance fund that is on offer and help patients to make easier claims with a status tracking facility. It will speed up the treatment procedures for a patient with Conversational AI promptly updating their medical claims to doctors prior in hand for making excellent service.

Conclusion

The integration of conversational AI into healthcare will definitely see a phenomenal change in the way every patient is getting treated along with the efficacy of doctors and nurses attending patients. However the AI chatbots are much more powerful with HIPAA compliance and can get the intuitiveness for offering to be a potential diagnostic tool in the healthcare industry.

Despite these medical advancements the present-day AI chatbots are still offering a reduced staff load with the low overhead cost for hospitals and thus serving patient’s disease clinically with greater transparency to other fellow staff members and visitors. It should urge hospitals to go for a Healthcare App development company and build the most demanding IT Solutions for their patients and consumers all the while endlessly.

Why Should Every Hospital Need Hospital Management System Software?

Posted by: Maran kavin Posted on: April 22, 2020 Healthcare app developers , Healthcare IT solution providers , healthcare technologies , hospital management system

In recent times, we have witnessed tremendous advancements in healthcare technologies. In an attempt to offer patients better care and mitigate the operation complexities, hospital administrations are making a shift from manual processes and investing in healthcare management software.

Healthcare app developers are constantly coming up with new ideas and innovations to make this software better for medical institutions. In the blog, we will discuss the reasons why every healthcare centre needs effective hospital management software.

What is Hospital Management Software?

Hospital management software is a web-based system that functions to manage different aspects of a medical institution. It aims to make different processes of the medical center paperless. It incorporates all important data with regards to doctors, patients, staff, administrative details, etc.

Why the Need for Hospital Management Software?

There is an increased demand for healthcare app developers and for all the right reasons. Following are some of the prominent reasons why hospital management software has become the need of the hour-

1. Automated and Seamless Management

Instead of merely storing and displaying data, effective HMS will also share valuable insights in order to optimize the utilization of employees, clinical decisions, occupancy rates, etc. Moreover, it is also capable of solving errors on its own and remind different users of the software of their important tasks.

The primary objective of hospital management software is to set-up an advanced hospital portal that is capable of managing patients’ entire journey in the hospitals.

From making an appointment to the billing and discharge, all the relevant information will be organized in a single screen. Moreover, it also maintains employees’ records without cheating any lengthy and messy paper trail.

2. Eliminate the Probabilities of Errors

Medical staff and officers have no scope of making any errors. Even a small mistake on their part with regards to misplaced or omitted information can create a serious blunder.

The medical administrative staff has to manage a gamut of tasks on a daily basis, and handling information manually increases the chances of errors. With an automated hospital management software, staff can mitigate the probabilities of errors in different administrative segments.

It stores all the important hospital data in an organized manner, identify unusual patterns, and solve certain errors in order to ensure that you can access error-free information anytime you want.

3. Easier Tracking of the Information

It is among the most important features of hospital management software. It holds the potential to monitor the entire journey of every patient who associates with the hospital. You search the name and every single medical detail about the patient will be in front of you in a matter of a few seconds.

Gone are the days, when you have to waste your time searching for the softcopy of patients’ files amidst a huge pile of documents. It has elevated the burden off the staff and allowed them to take a smarter approach towards their work.

Additionally, the software will store data associated with shifts of medical professionals and other staff working in the hospital. You can also store data related to temporary staff and schedule their shift on this portal. Hospital management software saves a lot of time, money, and effort from the medical center.

4. Assurance of Quality

Along with providing the best patient care, the hospital should also focus on excellent administration and management in order to tout itself as the best medical centre. This involved maintaining updated information of data, medications, staff, and all other elements associated with a medical centre.

The easy accessibility of error-free information is an imperative quality score for hospitals. When you leverage an automated management system, you can rest assured that you are complying with all the quality standards. With the hospital management software managing the repetitive manual tasks, your staff has more time in hand to focus on important tasks.

5. Reinforced Data Security

Data exploitation is a growing concern among all the industry; it can be scary as well as expensive. Hospitals that are still maintaining their data manually, often deal with misplacement of patients’ medical records and misplaced hospital files that can result in blunders and operational inefficiencies.

An effective hospital management software manages all the access points through user authentication. This way, only the users that you have given permission to will be able to access the documents.

You can ensure that users can only access the data during their shift timings, thereby eliminating out-of-turn data access.

6. Efficient Financial Management

A hospital needs constant revenue and funding in order to sustain and constantly improve its care processes and infrastructure. Managing all the processes of medical institutions can be a nightmare. Investing in a bespoke hospital management software will ensure cost and time efficiency.

Additionally, it also generates reports on various hospital segments, providing opportunities to optimize efficiency. When you have a wide range of information available in a matter of a single click, it paves for better financial management.

Features that You Should Consider When Investing in a Hospital Management Software

Following are some of the prominent features that you should consider while buying a hospital management software –

1. Appointment Scheduling

The patients’ onboarding starts with seamless appointments. This feature allows hospital staff to book appointments of patients from anywhere. It ensures that doctors and patients are on the same page with regards to the appointment.

2. Patient Registration Process

It enables you to look for vital information about the patient’s chart and the open time slot of the preferred doctor. Post this; you can mark the timeslot, thereby facilitating easy appointments. This is the feature where details of the patients such as name, age, medical history, address, blood type, etc. stores.

3. Inpatient Boarding

This feature stores and manages onboarding details of the patient, such as admission details, consultant, room, surgeon, diet preference, etc. So when a new patient is admitted, he or she will be provided with a new number, making bed management easier.

4. Inpatient Billing

This feature takes care of the daily services, including room rent, consulting, operations, delivery, etc. Accessibility of this information in a single place allows the medical staff to efficiently prepare MIS reports.

In case of any overdue payment, automated alerts can be set. Additionally, it allows the hospital to send the bill claim directly to the patients’ insurance provider, hence mitigating the requirement of resources and time.

5. Report Amalgamator

This feature will allow you to manage as well as update the lab test reports. Moreover, you can customize the alert on the completion of reports. It also enables you to manage the lab operations on a detailed dashboard. You can preserve the reports for further consultation and retain medical history.

6. Consultation Management

It is an important feature and one of the vital functions of this software. If the patients are looking to get treatment from a particular doctor on a specific date, this feature will facilitate the same.

With doctors’ records integrated into the software, patients can choose from different specialties such as general physicians, ophthalmologists, neurologists, urologists, dentists, etc.

Automation has become an imperative part of the healthcare administration process. Leveraging an efficient hospital management system can allow medical centers to manage a wide range of manual and repetitive tasks in a more efficient and organized manner. Above are some clear reasons that depict why every healthcare institution should invest in good hospital management software.

How Artificial Intelligence, Data Science And Technology Are Being Used To Fight The Coronavirus Pandemic?

Posted by: admin Posted on: April 9, 2020 Artificial Intelligence , Coronavirus , COVID-19 , Data Science , Technology

The novel coronavirus from its origination in China has spread and affected more than 800,000 people all over the world in the span of 3 months from January 2020. Moreover, the disease has taken the lives of almost 40,000 people as of 31st March.

Maintaining so much data, which is ever-increasing is not possible without the help of technology. AI or artificial intelligence is adept at analyzing patterns from big data. China’s success with artificial intelligence as the crisis management tool shows its utility and justifies all the financial investment this technology has used to evolve over the years.

Advancement in the AI application like speech recognition, data analytics, natural language processing (NLP), deep learning, machine learning, and others like facial recognition and chatbots have been used for diagnosis as well as for vaccine development and contract tracing.

Spurred by the gains of China in this area, other countries are also sharing their expertise to expand the current capability of AI and make sure AI can emulate its role in aiding China in dealing with coronavirus pandemic. The list mentioned below will be throwing light on how AI has been applied to solve the pandemic.

Chatbots

Several healthcare app development companies have developed chatbots using artificial intelligence and NLP so that people can get the right information through these apps. People can also chat with medical professionals using the apps and can clear their doubts. This is feasible for people as well as doctors and health practitioners because people are provided with the necessary information by simply tapping on their phones.

Chatbots are programmed to answer the questions based on the information their developers add and through artificial intelligence, the information is updated automatically. Chatbots are highly useful in providing clear guidelines and reliable information, check and monitor symptoms, recommend protection measures, and advise users whether they need to practice self-isolation at home or require hospital screening.

Disease Surveillance

Surveillance is crucial for a disease like coronavirus. Human activity, specifically migration, has been responsible for spreading the virus all over the planet. Apps have been developed in several countries that leverage NLP and machine learning to track, recognize, report the spread of coronavirus faster than the WHO.

In the coming future, technology like this might be employed to know about zoonotic infection risks to humans considering the variables like human activity and climate change. The combined analysis of clinical, personal, social, and travel data including lifestyle habits and family history gathered from sources like social media may enable more precise and accurate predictions of individual healthcare results and risk profiles.

Facial Recognition, Fever Detector

To detect fever in people, thermal cameras are used for some time now. The only drawback is that for using this technology, human operator is required. However, with AI, this issue has been resolved and this technology has proved to be very useful in detecting people with fever at airports, hospitals, sea ports, railway stations, etc.

This technology detects people with fever automatically and tracks their movements, detects whether they people are wearing face masks, and recognize their faces.

Diagnosis

Immediate diagnosis implies response measures like quarantine can be employed in time to curb further spreading of the infection. A hindrance to rapid diagnosis is shortage of clinical expertise needed to interpret diagnostic results because of volume of cases. Major of the countries are struggling to diagnose the disease in time because the symptoms may take several days to show. Furthermore, because coronavirus spreads so easily, the hospitals have to diagnose thousands of patients in a day.

AI has sped up diagnosis process for coronavirus by detecting the infection within a minute with extremely high accuracy. This was made possible due to open source artificial intelligence model that analyzed CT scans and identified lesions as well as quantified in terms of volume, number and proportion.

Usage of Drones and Robots

Because coronavirus spreads through physical contact, drones are being used in some places to deliver medical supplies. Drones are also being used for tracking people who are not using the facemasks in public, broadcasting information to large audiences, disinfecting public spaces, and checking if people are breaking quarantine.

Robots are also being used for cleaning and sanitizing the rooms of the patients, serving them food, and giving the medicines. Healthcare workers face the highest risk because they deal with infected patients directly. This is why using robots in hospital rooms and isolation wards is a great move. Many companies are donating free robots to hospitals for the same purpose.

Development of Drugs

Various companies are employing robots and artificial intelligence to develop drugs, decode the virus, and know more about the disease. A British startup known as Exscienta became the first firm to present AI designed drug molecule which has proceeded for human trials. It took only a year for the algorithm to make the molecular structure while with traditional research methods, it takes five years or more for the same.

AI can also lead the charge for development of vaccines and antibodies for the Covid-19 either designed through drug repurposing or completely designed from scratch. The AI company of Google is developing structure models of proteins which have been linked with coronavirus in a bid to help the science in understanding the virus.

Verification of Information

The uncertainty and incomplete knowledge about the coronavirus disease have resulted in propagation of myths and misconceptions on social media platforms. There has been no qualitative assessment done so far to evaluate the amount of misinformation present already but it is certainly a huge figure.

Facebook and Google are battling to control the waves of the conspiracy theories, misinformation, malware, and phishing. A search for the disease yields the alert signs along with links to the verified sources of information. On the other hand, YouTube directly links its users to credible organizations and WHO for information. Videos which misinform are hunted for and taken down as soon as AI detects them.

Conclusion

Coronavirus is causing panic amongst people because until now vaccine or medication for this disease has not been developed yet. Moreover, coronavirus spreads very easily and its carriers may not even realize they have the disease until they are diagnosed and by then, they may infect other people.

Human brains along with AI has helped control the spread of disease in China and can prevent its outbreak in other countries as well. Early detection, proper monitoring of the infected, and using drones and robots for minimal human contact can help prevent the disease from spreading. Monitoring the infected and people who have come in their contact is the only measure being used by several nations to control the spread of the disease. However, without AI, managing such elephantine data would be impossible.

How Digital Health Technology Can Help in Managing The Coronavirus Outbreak?

Posted by: Maran kavin Posted on: April 4, 2020 Corona Outbreak , COVID-19 , Digital Health Technology , Healthcare App Development , Healthcare Apps , mHealth Apps

Chinese health authorities reported an outbreak of pneumonia-like illness that has killed five and sickened 305 people. Well, this is not an excerpt from COVID-19 based news. It is actually from a news piece from 2003 and it describes the outbreak of SARS, which affected 8000 people. While coronavirus and SARS had the same origination and the way they spread, how they are being controlled all over the world is not at all same.

The seventeen-year gap between the two outbreaks has resulted in the development of new technologies that are more efficient and more easily available as compared to 2003 when SARS was creating panic amongst people. The technologies back then were poorly developed and nonexistent but now they are widespread and more affordable and have helped control the spread of the disease to a great extent. Digital health technology has also helped in the following ways.

#1 Tracking Coronavirus Pandemic

The digital health technology has helped manage the coronavirus pandemic by offering an early signal to possible infection. Many public health authorities, as widely reported, are limiting the test eligibility to healthcare workers and symptomatic patients. Furthermore, generally, the symptoms show up in several days and if a person does not get tested in time, they may transfer the virus to other people around them.

However, using technology, one can know which area they should avoid going to that have large gatherings. Just by looking at a person, you cannot know if they have coronavirus or not. But digital health technology that uses big data analytics can easily track and anticipate the spread of the disease. By filtering relevant news reports, artificial intelligence can know how the disease can be spread further, which can easily be avoided.

Moreover, AI can sift through available data and be able to make informed predictions that are later confirmed by experts, and enable relevant bodies to contain similar diseases before they are even able to leave their origin source.

#2 Faster Diagnosis

When the coronavirus disease was spreading outside China, several countries screened all international passengers from that region for fever using fever detecting devices. Many who had fever were not allowed to enter the countries. This had delayed the arrival of the disease in those countries, which gave them more time to prepare for outbreak coronavirus brought.

Additionally, initially, the diagnosis of the disease took several hours and even days. But due to advanced digital health technology, coronavirus can be diagnosed in only a few minutes. When a person is diagnosed with the disease, everyone who had come in their contact is also diagnosed and quarantined for a specific period. This entire process is extremely fast and those who are affected can be treated in time. Moreover, faster diagnosis also controls the spread of the virus.

Also, in the case of the SARS virus, the diagnosis for the disease took a long time to develop. However, the diagnosis of coronavirus was developed soon after the disease was identified. With the advancement of technology, the diagnosis time is decreasing significantly and now, one can know about the presence of the virus in their bodies within a few minutes.

#3 Monitoring Patients and Hospital Visitors

AI has been implemented in various hospitals all over the globe to help doctors screen visitors as well as treat those who are infected. Hospitals that have access to digital health technology are able to manage and monitor the coronavirus patients more effectively. There are camera-embedded facial scanners which conduct thermal scans and analyze facial attributes to determine if a visitor is feverish.

Artificial technology is also being used to analyze cough sounds to determine the possible spread of the coronavirus disease. Remote monitoring is also being carried out in several hospitals where sensor technology is being used. The sensor is put under the mattress of the patient and then their heart rate, body movement, and respiratory rate are analyzed. This lets the health professional know what is the patient’s condition without even visiting them frequently. Through this technology, hospital staff’s exposure to the affected patients and the disease is reduced significantly.

#4 Robots

Coronavirus can easily spread from human to human, which puts medical staff at high risk of contracting the disease. Even after wearing full boy suits, gloves, and facemasks, doctors are not completely protected. However, robots cannot be affected by the disease. This is why several hospitals are using robots for treating patients. The robot brings in food and medical supplies, lets the doctor talk to the patient via a screen, and sterilizes and cleans the room.

A number of startups and companies are donating robots for the same purpose to various hospitals. This will prevent medical staff from contracting the virus in a scenario where their presence matters the most. Hospitals are loaded with patients and there is already a lack of doctors. If the present doctors fall ill, there would be an increased shortage of staff. Also, an infected doctor can transfer the disease to several others.

#5 Mobile Apps

Healthcare app development companies are building apps to prevent the spread of the disease, monitor the movement of affected, offer correct information about the disease, and let people talk to doctors through text messages, video calls, and voice calls.

Because the disease can be spread very easily, the only way to protect oneself from the disease is avoiding meeting people who could be affected. Whether you go to a hospital, a supermarket, or even on the street, there may be people roaming around who are carriers of the disease. Generally, people do not realize they have the disease because the symptoms may appear late or they may believe that they are suffering from common cold or flu.

So, even visiting the hospital or your doctor’s clinic is risky. Using apps that let you communicate with experienced medical professionals can help you avoid visiting the doctor. You can get treated for general diseases while sitting at home.

Moreover, there are apps that let you access the latest updates of coronavirus from credible sources. You can even diagnose your symptoms for coronavirus by using the apps. The app will also tell you if you are at a higher risk of getting infected and whether you should visit a hospital for screening or not.

Conclusion

Coronavirus is a disease that spreads very easily among humans. Even after using sanitizer, washing hands frequently, and wearing masks, one cannot completely protect themselves from the disease. However, digital health technology has played a huge role in controlling the disease to a great extent.

People are now more aware of the disease. Also, medical health professionals can diagnose the disease faster, monitor patients, and develop an effective vaccine at a much faster pace. Thus, digital health technology has been helping immensely in managing the coronavirus outbreak.