Automation

Automation and artificial intelligence (AI) have fueled a lot of improvement and innovation in healthcare. AI in healthcare has emerged as a boon for both patients and providers in improving care, early risk identification, chronic disease management and workflow automation, among others. With healthcare organizations moving fast towards digital transformation, the adoption of advanced technologies in healthcare will happen faster than expected. 

Let us find out how AI and automation are helping the healthcare industry and how it will shape the future while staying HIPAA compliant. 

1. Robot-assisted surgery 

AI and robots have changed the way surgeries used to happen in the past. Now complex surgical procedures can be executed at a faster pace and more accurately. It has also reduced the risk of blood loss, pain and side effects. Hence, ensuring faster post-surgery recovery. 

AI in healthcare and medicine has enabled medical professionals to access real-time data and insights of patient’s current health. Healthcare providers can leverage AI-backed data to make insightful decisions before, after and during the surgical procedure. 

2. Detecting fraud 

As per the US Justice Department, around 3 percent of healthcare claims are fraudulent in the country, translating into billions of dollars of losses annually. AI can help the healthcare industry identify and curb invalid claims. Subsequently, AI can also expedite the approval and processing of valid claims. AI can also help in enhancing the security of patient data through robust healthcare testing services. 

3. Supporting clinical decisions 

Providers can leverage healthcare data to diagnose and plan treatment more efficiently. It can support decision making for data-intensive specialties including radiology, ophthalmology and pathology. AI can also enable autonomous execution of a few tasks in the future. 

AI coupled with natural language processing (NLP) can translate clinical notes into EHRs. Hence, eliminating the need to enter data multiple times.  

4. Assisting in Repetitive Jobs 

Healthcare has now started leveraging Cognitive Assistants that have capabilities including analysis, reasoning and a wide range of medical data. The Medical Sieve algorithm is considered qualified to help in decisions related to radiology and cardiology. It can analyze images, spotting and detecting issues more reliably. 

There are other AI-enabled technologies including Enlitic that mixes medical data with deep learning to aid advanced diagnostics and improve treatment outcomes.  

5. Changing online and in-person consultations 

Now a mobile app can offer online healthcare services including medical consultation. Apps can leverage AI to give advice after analyzing medical records of patients and the current medical knowledge. 

The patients only need to report the symptoms to the AI-based application. The app checks the symptoms against the diseases database through speech recognition technology. It also factors in the medical history of patients and circumstances before offering a diagnosis to the patient. 

Increasing popularity and demand of healthcare apps that can store data and generate reports through AI technology have encouraged healthcare providers to invest more in AI and automation for medical consultation purposes. 

Such apps not only help patients manage their health in a better way but also help in reducing the crowd in waiting rooms of hospitals and clinics. 

6. Drug Creation 

Using clinical trials to create pharmaceuticals can take decades and cost billions. AI in the development of drug can expedite the drug development process and make it cost-efficient. 

Atomwise is a network that leverages supercomputers to root out therapy from the molecular structure databases. It can identify current medicines that can be redesigned to treat diseases with no cure including Ebola virus. The same analysis would take several years through traditional methods, however, AI made it possible within a day. 

7. Medication Management and Health Assistance 

A medical startup, Sense.ly has developed the world’s first digital nurse. The virtual nurse talks in a pleasant voice. The task of the virtual nurse is to monitor the health condition and treatment of patients. The mobile app works with machine learning to support patients with chronic conditions in-between doctor visits. 

The application offers tested and customized monitoring. It can also provide follow-up care, while focusing on chronic diseases through robust medical device software testing services. 

Its capability to inform patients about the time of medications and monitoring whether they have taken the medication or not, has made AI a crucial application for health assistance and management of medication. 

8. Precision Medicine 

AI and automation in medicine has impacted genetics and genomics significantly. AI helps to identify actionable insights and patterns in heaps of data containing genetic information and medical records. It helps to link specific diseases to mutations and diseases. 

In the future, the AI would be able to inform doctors about the cell behavior in the event of DNA change through genetic variation including naturally or therapeutically. 

9. Automating image diagnosis 

Clinics and hospitals are using computer vision capabilities to identify abnormalities in distinct types of medical images including radiology and CT scans. Image recognition helps doctors easily diagnose tumors, live and kidney infections and cancer prognosis, among others. 

UVA University has developed an AI-powered tool that leverages ML (Machine Learning) algorithms to analyze child biopsy images. It helps in differentiating between celiac diseases and environmental enteropathy with accuracy at par to an experienced doctor. 

10. Analysis of a Healthcare System 

Most healthcare invoices have become digital along with doctor data, treatment records and more. It has helped both patients and healthcare providers to manage the data efficiently and securely. 

Data mining of above-mentioned records can help hospitals and doctors identify repeated mistakes that they are making in the treatment of certain types of patients and conditions. Actionable reports from analytics can help in improving healthcare services and avoid unnecessary hospitalization. 

Conclusion  

Like all sectors, healthcare is also going through massive digital transformation and opening the gates for advanced technologies including artificial intelligence (AI) and automation to take over regular operations. AI and automation are not just bringing more efficiency and reliability to healthcare operations, they are also helping to make smarter decisions and offer more advanced healthcare to patients. As more healthcare providers embrace AI and automation, the future of healthcare looks bright for both providers and patients.