Poised to become a transformational force in healthcare, AI is changing the world’s highest growth industry.
Jan 22 • 4 min read
Artificial Intelligence has already arrived in healthcare, and it is just the beginning of seeing how it will impact patient care.
According to a report from CB Insights
1. About 86% of medical services supplier associations, life science organizations and technology vendors to healthcare are utilizing artificial intelligence technology.
2. By 2020, these associations will spend an average of $54 million on artificial intelligence projects.
Ripe for some major changes, there are endless opportunities to leverage this technology in healthcare to deploy more efficient and impactful interventions in a patient’s care.
An Increased AI Presence in Healthcare
Accuracy is the key in the healthcare industry, and artificial intelligence allows for improved accuracy of many aspects of healthcare, including diagnostics and robot-assisted surgery. More accurate information can lead to better preparations and faster decisions.
Applications of AI in Healthcare
From patient care to clinical research to drug development to health insurance, AI applications are changing the workings of the health sector to cut down on spending and enhance the outcomes of the patient.
Here are 11 basic ways AI is changing healthcare now and will later on.
1. Encouraging healthier behavior in individuals
AI-powered health applications are encouraging people to take their health into their hand by being proactive about their fitness, eating habits, lifestyle choices putting people in control of their health and well-being.
AI understands their day-to-day pattern to provide better support, guidance, and feedback nudging the users to stay active and healthy.
2. Early detection of symptoms and diagnosis of diseases
AI is being utilized to recognize infections all the more precisely and in their beginning phases. Cognitive technology allows healthcare organizations to unlock a large amount of data to review and store medical information. AI-powered consumer wearables and other medical devices enable health caregivers to better monitor and detect potentially harmful episodes at more treatable stages.
3. Clinical decision making
Improving care requires the alignment of data with predictive analysis to take timely decisions to support clinical decision-making. Also, AI-enabled tools that use pattern recognition help in identifying patients at risk of developing a condition or it deteriorating due to lifestyle, environmental, genomic or other factors.
4. Drug research and discovery
According to the California Biomedical Research Association
1. For a drug to travel from research to patient, it takes an average of 12 years.
2. Only 5 in 5,000 make it to human testing, and just 1 of these 5 is approved.
3. $359 million is the cost to develop a new drug.
One of the more recent applications for AI in healthcare, streamlining drug research and discovery can significantly cut both the time and cost to market for new drugs.
5. Support for elderly patients
AI assistants such as chatbots, virtual assistants, voice assistants, robots have the potential to revolutionize the elderly and patients helping people to remain independent, reducing the need for hospitalization and care homes. Conversational AI is enabling digital assistants to have conversations and social interactions with the elderly, reminding them of timely medicine, appointments, or just be a support.
AI can monitor the use of medication by a patient. AI can help autonomously confirm that patients are taking their prescriptions and helps them manage their condition.
7. Managing repetitive medical tasks
Examining tests, scans, information sections, and other everyday assignments should all be possible quicker and precisely by AI-fueled devices. Compiling information, data management, collect, store, re-format and trace data to provide faster, consistent access.
8. Smart healthcare devices
Smart devices have become critical for monitoring patients in the ICU. Artificial intelligence is also enhancing the ability to identify deterioration or sensing the development of complications to significantly improve outcomes.
9. Monitoring health through wearables
Health-related data is being generated on the go with smartphones, step trackers, heartbeat trackers. Artificial intelligence can help extract actionable insights from this data as collecting and analyzing this data can offer perspective to the health of individuals and the population on the whole.
10. Streamlining patient experience
Most patients complain about lack of customer service, paperwork and negative front desk experiences. AI in healthcare technology is helping to streamline the patient experience by helping hospital staff efficiently process data points.
11. Increasing access to healthcare
With many healthcare organizations and private physicians integrating chatbots and virtual assistants on their healthcare websites and applications, they can provide personalized and interactive healthcare to patients. A patient can chat with the assistant and share the information asked. The AI-fueled virtual assistant can then be able to smooth out the audit of the patient's manifestations and can even suggest whether the patient requires a virtual registration or an up-close and personal visit.
Artificial Intelligence Transforming Healthcare
AI in healthcare offers quite a few advantages over the traditional healthcare system with analytics enabling better decision-making. As algorithms interact with data they tend to become more precise and accurate allowing healthcare professionals to gain much better insights into areas including diagnostics, patient care processes, treatment and outcomes.
Organizations leveraging AI are already seeing visible changes in early alerting, patient care and decision support.
This is just the beginning as AI in healthcare will usher exciting breakthroughs in healthcare management and patient care.