Healthcare and AI: Someone you know falls sick and has to be rushed to the ICU…

The picture today is of utter chaos. It takes ages to understand the severity. Someone calls the ambulance. Someone dials the hospital. They reach and have to finish formalities and wait for the critical care doctors to reach and take decisions that will help save the patient. Doctors may need to deliberate on the best possible course of medicine or surgical procedures and choose among several. Sometimes it is too late by the time all this is accomplished.

On the flip side, imagine a single dial out to an alarm number, activating an entire healthcare cycle. An ambulance within minutes. A critical –care robot on standby. A virtual check for previous records, health trends for the patient, nearest hospital and medication.

Once they reach, a robot who has the patient’s entire health-history, scans vital signs and compares the results against thousands of previous, similar cases across the world. Incidentally, doctors in the UK are using the App Babylon for getting similar, relevant cases in previous history, where life-saving procedures had given consistent results and robots are retrieving such life-saving procedures from around the world in split –minutes-probably in the time it takes for us to get one document photocopied.

Imagine the robot transmitting the diagnosis, the medication –its dosages and timing, the daily and final billing to the admin deptt. the security deptt. the pharmacy, the nurse’s station and the billing team-all at one go.

How error –free will the robot’s diagnosis and functioning be? But there are other far-reaching ramifications to these Artificial Intelligence integrations into our healthcare management you haven’t even dreamt of.

Let’s examine another facet revolutionising healthcare.

How many times do we “forget” to take our prescribed doses? Or have medicines twice by mistake? How many of us have elderly parents or relatives in far-off places and feel guilty about not being able to track their medicine-related patterns?

Now imagine an app that monitors the dosage and the actual medication taken by a patient over the last three months? Or a virtual nurse like Molly, designed by the start-up Sense.ly now partners with the patient’s smartphone to record meal times, medicine times, medicines taken, missed dosages, give reminders, alarms and even the effect of medicines post taking them.

An interesting app AICure tracks medicine due and taken by a patient. AI will also sync medical patterns of patients using machine learning for linking past medication and subsequent incidents.

In the near future, you will see doctors, hospitals, insurance providers, technology vendors utilise a seamless data management system that will help save many lives.

Whats AI Upto in the future?

We’re on the wings of a storm.

Soon, AI will be used to analyse data to highlight mistakes in treatments, workflow inefficiencies, helping avoid unnecessary patient hospitalization. In fact one Israeli company is working to create a platform that only tracks nonadherence of medicine intake, leading to required hospitalization!

Apps connected to Databases like Elsevier where doctors and patients input the required dosage and actual medication data will reduce hospital visits drastically. IBM Watson- an AI led tool is being used to provide highly individualised care of cancer patients.

Woebot, a commercial therapy chatbot is being refined, which will provide basic care for mentally ill patients.

Facebook has created a tool to identify potential suicidal cases amongst its users. It is being piloted, offering quick 10-minute check-ups to assess the user’s mental well-being based on text and emoji replies of the user in the past.

Artificial Intelligence may seem like science fiction, but in the near future we will see a revolution in healthcare in both health assistance and medication management.

About the Author

MANAS AGARWAL, CEO, Affine Analytics, is a Visionary who has seen the world of Analytics evolving over the years. With over 15 years in the field of Analytics, BI and IT, Manas has lead large delivery teams and built capabilities for Fortune 500 organizations and and is a true stand out in this field.

Working with Executive Management at several F100 clients, Manas has developed a deep expertise to understand and analyze core business issues and develop analytical solutions which provide business value. Manas’s analytics expertise spreads across the retail sector in the areas of Customer Analytics, Marketing and Product Innovation, Process Innovation and better Risk Management.

About Humans For AI

Humans For AI is a non-profit focused on building a more diverse workforce for the future leveraging AI technologies . Learn more about Humans For AI and join us, as we embark on this journey to make a difference!

 

 

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