Mental health crisis is a matter of huge concern in recent times where one-fourth of the adult population is estimated to be affected by mental disorders. Depression alone affects roughly 300 million people around the globe, as stated by World Health Organization. Artificial Intelligence (AI) offers multiple opportunities to people suffering from mental disorders. Computational Psychiatry and specialized chatbots for counselling and therapeutic services are the two emerging fields where AI is expected to yield the biggest benefit. Computational Psychiatry combines multiple levels and types of computation with multiple types of data to improve understanding, diagnostics, prediction and treatment of mental disorders. Besides, AI can help researches discover physical symptoms of mental illness and track within the body the effectiveness of various interventions. Moreover chatbots provide immediate counselling services to the patients at a cost which is lower than seeing a psychiatrist or psychologist. This has expanded the coverage to a broader circle of people who require treatment. Thus the development of AI for mental health promises better access and better care at a cost that won’t break the bank. Read more at: https://datafloq.com/read/artificial-intelligence-for-mental-health/6558

A rare hereditary disease is difficult to diagnose. Sufferers have to go through innumerable tests,that take up valuable time of doctors and patients alike with still no definitive result. This additional time delays therapy that could actually be directed to forestall damage. Professors from the University Hospital Bonn and a team of researchers had data of 679 patients suffering from 105 different diseases .They trained a neural network model with 30,000 portrait pictures of affected people and demonstrated how artificial intelligence can be used to perform efficient and reliable facial analysis in cases where the facial structure does show mutations when afflicted with a rare disease. Together with other symptoms and genetic data,it was possible to get accurate diagnosis.

Read more at: https://www.sciencedaily.com/releases/2019/06/190606133805.htm

In the modern era, with almost all industrial sector adopting new technologies, healthcare sector is no exception. Artificial Intelligence has changed the way in which we seek medical care.The use of artificial intelligence in medicine has reduced manual tasks and increased efficiency and patient care. With robots already assisting in various surgeries, few other AI systems used in medical sectors are WOEBOT,DA VINCI, PARO etc. As of now, there is always a high skilled surgeon in total control of the robots. It is believed that we have to still go a long way before robots have the sensitivity to perform surgeries on their own. They lack the common sense and the experience that humans possess. Thus a balance between human and machine is required. Read more at: https://community.nasscom.in/communities/iot-ai/artificial-intelligence-in-the-healthcare-sector.html

AI is redefining the way oncologists look at cancer treatments.Deep learning has proven useful in understanding the trajectory of tumors in the distinctive case of cancers . According to two doctors,AI is making its mark in the healthcare industry.CNN(convoluted neural networks) have been trained to recognize and categorize cancers.CNN is used to diagnose tumor volume and segment tumor with higher precision. They have an advantage over semi-automatic methods,because the former can independently identify common features. Studying and interpretation of sample slides are slow and unreliable. DNN can be used to quicken the process and give robust results.A deep learning model teaches itself and becomes more accurate as it studies clinical data so it can predefine the form that a tumor will take.AI in healthcare has revolutionized diagnostic methods that aid better treatment.

Read more at: https://www.aiin.healthcare/topics/research/5-ways-ai-being-used-advance-cancer-research

Artificial Intelligence has spread to almost all major and minor sectors and has been growing exponentially over the past few years. With the medical breakthrough in 2017 of AI identifying arrhythmia, researchers have developed microscopes for real-time diagnosis of cancer in 2018. It involved remodelling a standard microscope with deep neural networks integrating augmented reality giving a tool what is termed as the Augmented Reality Microscope. In such a microscope, a neural network is integrated for detection of tumor once the biopsy is conducted. Here, the eyepiece plays the role of the eye, AR is the 3-D image captured (which is the Field of View) and the role of the brain is played by the network. The output of the network is in the form of a heatmap which depicts the probability of cancer at each pixel location. The ARM has to its name a number of benefits like low equipment cost, low latency and also keeps pace with semi-continuous movements of the slide thus improving the accuracy of quantitative tissue assessments. With this we are ARM-ed well to fight against the unfortunate and sometimes catastrophic disease called cancer.

Read More at: https://www.analyticsinsight.net/augmented-reality-microscope-to-detect-cancer-cells/

In the predictive analytics market for healthcare, advancing Big Data processing tools, data mining and data organization are being increasingly used by market research firms to predict huge gains. Also by leveraging Big Data and scientific advancements, healthcare organizations are now being able to fuel the future of patient care. Despite the fact that there are several roadblocks to using analytics in this field there are also many ways by which Big Data can actually revolutionize the health field. Some of them are listed below as:

• Big Data Boost on Precision Medicine and Research- By tapping reams of data from tools like Smartphone apps, genomics and mobile biometric sensors, precision medicines are now being able to treat individuals with therapies and treatment plans more specific to them
• Tapping Big Data for Real-Time Infection Control- By using “sniffer” algorithms to assign risk scores, the data analytics pilots are identifying patients that are at risk for sepsis. Moreover the Big Data network is being able to predict and prevent infections out of the system thus squeezing the cost out and creating a safer environment for patients.
• Cost Cutting with Patient Data Analytics- Predictive analytics is believed to cut 25 percent or more annual costs of more than 47 percent healthcare organizations over the next five years.

Read More at: https://healthtechmagazine.net/article/2017/11/predicting-analytics-3-big-data-trends-healthcare

Allowing various components of technology to come together seamlessly, Artificial Intelligence (AI) has been taking over the technology arena for some time. The pressing budget of UK’s National Health Services (NHS) has led to clinics being short-staffed and overworked. In the healthcare industry, AI uses algorithms to be tantamount to human cognition to analyze composite medical data. Institutions such as Massachusetts General Hospital, The Mayo Clinic, NHS have been applying AI programs to processes such as drug development, personalized medicine, treatment protocol development and patient monitoring. Use of AI may introduce certain type of risks such as algorithm bias, DNR implications and machine morality issues, though, research on the use of AI aims to validate its efficacy in improving patient results prior to its broader adoption. AI enables evaluation of current health of patients, access to more up-to-date research through NLP and identifies warning signs earlier in the care process thereby reducing risks of medical issues having long-term implications. Requiring a vast amount of data is indispensable for AI solutions to provide powerful insights. However, the obstacles faced in the use of AI must be overcome before a true change can take place.

Read More at: https://www.smartdatacollective.com/artificial-intelligence-healthcare-changing-industry/

In today’s world, medical organizations are taking the help of innovative healthcare solutions allowing healthcare providers to reduce costs, improve patient treatment, and optimize workflow and thereby, the solutions significantly transform the industry. So, new technologies like mobile applications, smart devices, biosensors, wearables, home virtual assistants, blockchain-based electronic medical record systems, predictive analytics, and web health portals indicate a truly new stage in the healthcare environment. These innovative tech solutions, help the healthcare organizations to take the advantage of automated decisions, continuous patient state monitoring, and successful diagnoses. Research tells us that IoT in the healthcare market is expected to reach nearly USD 409.9 billion by 2022 and by the end of 2018, healthcare providers will have saved $1 billion using robotic process acceleration (RPA) tools. Read more at: 

https://www.iotforall.com/top-digital-health-solutions/

Burnouts can leave you physically weak, cynical and ineffective. They can make you doubt everything in life. But, there is a way to recover from burnouts. Instead of being in the victim seat, taking the seat of responsibility can bring more control over life. Mental state of burnout can take a toll of your happiness. More sleep will be needed and taking small steps of change will go a long way in the recovery. Setting boundaries and thinking bigger will help more than it seems to. Read more at: https://hbr.org/2017/12/to-recover-from-burnout-regain-your-sense-of-control

Healthcare application is in increasing demand due to its ease in use and portability. Developers try to ensure that the applications are precisely goal oriented. These apps are developed in a short time frame so that they may be tested and put to use, however there is no certainty that the apps will develop quickly. Electronic health record compatibility is a challenge as these might not be updated, or it might not integrate properly with the application. This challenge can be solved by backend as a service(BaaS). BaaS allows the developers to connect the frontend applications with backend data, so eliminating the challenge. Read more at: https://hitinfrastructure.com/news/what-are-benefits-of-healthcare-application-backend-as-a-service

India after having taken steady and fast steps in the field of healthcare has reached a point where it tends to supply over 20% of the world’s generics and about half the vaccines globally. This upsurge is because of the advancements and detailed research made in the field of biology which has enabled the pharmaceutical companies to understand specific health ailments and target them accordingly. Even after all the innovations and developments that have been taking place India’s position in the health related sustainable development seems to be grim. To address this, the government has to come up and take the necessary steps. It is necessary that we embrace innovation. Care should be taken that there is no disruption arising in the health systems and also that there is no financial crunch faced by the pharmaceutical companies.                                                                      TO READ MORE: 

http://www.livemint.com/Opinion/mpZHFl1gJVgtJ39A3tS2yL/Indian-healthcares-innovation-imperative.html 

According to authors, both Artificial Intelligence and Pattern-Recognition algorithms, which metamorphoses horses into zebras and winter scenes into summer, have revolutionised healthcare, where robot radiologists, can visually diagnose and examine  X-rays ,stained breast cancer slides and medical signs involving correlations between normal and abnormal health patterns,  in detail and with remarkable precision, thereby empowering the doctors to conduct a detailed research and to better  patient’s welfare. The core activity of AI is to make the machines intelligent and using this intellect, an entity can function smoothly, efficiently and  with perfect foresight in its environment, thus allowing an organisation to flourish and expand its operations. Read more at https://aitrends.com/healthcare/supercharge-healthcare-ai/

To the huge size and structure of the healthcare industry in India, technology can add immense value to it. Technologies can make differences in the various problem areas. Technologies like telemedicine can increase the reach of doctors to these rural areas to increase the accessibilities of doctors. A startup which is providing e-consultations through message, voice or video call do provide a convenient option at a lower cost for affordability issue. We can aware people by giving them the information about symptom, diagnosis and treatments of various critical diseases through mobile. We can also make people aware about the price and quality of medicines. Read more at:https://www.entrepreneur.com/article/296157

Social Media is a powerful marketing tool. However, a social media marketing mess can turn out to be costly. Here are the top 7 tips avoid mistakes.

1. A little money should be spent to broaden social media reach and to target specific consumer groups.

2. Choosing the right social media platform is important. 

3. Know the target audience well.

4. Take expert help because attractive content is the key.

5. Potential prospects and existing customers should be given equal attention.

6. Focusing exclusively on sales promotion may not be useful.

7. Never ignore the customer feedbacks.

Read more at https://www.prdaily.com/Main/Articles/22846.aspx

How will Artificial Intelligence facilitate the healthcare sector? This is the question that needs to be answered. The greatest returns to investments are likely to come from medical imaging and diagnostics and drug recovery. According to Accenture, virtual nursing and robot-operated surgery can be efficient and cost effective. Fraud detection and error in dosage detection can be performed by AI. Thus, healthcare sector can grow at a tremendous pace using AI. Read more at http://fortune.com/2017/06/19/healthcare-artificial-intelligence-accenture/

Data Analytics has widespread impacts on not only commercial sectors but also healthcare. For example: First is by checking on hospital activities by maintaining relevant databases can help in finding inefficiencies in service provision and the overall costs of a healthcare facility can be reduced. Second is that data analysis also helps in allocating funds efficiently thus reducing the chances of embezzlement. Third is a database of patients’ records and medical histories can be maintained, which can provide a communication medium for the patient and every other individual working on that case. Also, if a healthcare facility is operated in multiple units, analytics can help ensure consistency across all facilities and specific departments. Lastly, storing staff data and keeping a check on their performance is important. Read more at: http://www.datasciencecentral.com/profiles/blogs/data-analytics-is-transforming-healthcare-systems

Smart phones have made healthcare management easier by healthcare management apps. From measuring pulse and heart rate to maintain health, healthcare apps can ensure physical and mental well being. Some of the best healthcare apps of 2017 are as follows.

1. WebMD – this free app can check the symptoms and can help detect a disease. 2. Micromedex – this paid app is a pharmaceutical reference and guide. 3. OneRx – this app helps to compare the costs of various medications in various medical stores. 4. Sugar Sense – this app is a great way to keep track of the blood sugar level. 5. MyChart – this app provides information about healthcare records. Read more at http://appinformers.com/best-healthcare-apps/11482/

In spite of a lot of buzz about big data and data analytics, only few organizations like Amazon and Google have managed to exploit them to the potential. With the shortage of doctors, lack of infrastructure and only 5% Indian population covered by health insurance, healthcare system in India is in a delicate condition. If used in the right way, the data analytics in healthcare system can push the sector to excellence by retaining right customers and assisting in providing cost efficient operations. Data analytics can also assist the insurers to increase the coverage of healthcare insurance from 5% to 50% of the Indian population. Read more at http://health.economictimes.indiatimes.com/news/industry/healthcare-analytics-in-india-opportunities-and-challenges/59028069

Price Transparency Tools provides many options to select the required services. It helps customers to reduce medical costs. Statistics say that the proportion of moderate income community group is more likely to use this tool as compared to higher income community. Thus, the aggregate spending is still high. Consumers who are good with internet mostly use this tool. Thus, it should be marketed properly so that it reaches out to a larger number of people. Sending out reminders is a great option to start with the process. Read more at : http://www.healthcarefinancenews.com/news/healthcare-price-transparency-tools-seldom-used-study-finds-more-reminders-marketing-needed

The key findings from 2017 South West healthcare report reveal that television and direct mail are the most influential mediums and ‘knowledgeable”, “trustworthy” and “cost-effective” are the most influential words. The most influential statement as per the survey is “We will treat the problem, not just the symptoms”.  The survey also revealed that advertising messages featuring testimonials of friends and families are not preferred anymore. For more read at: http://www.businesswire.com/news/home/20170517005357/en/Public-Opinion-Poll-Reveals-Surprising-Consumer-Behaviors