Advances in modern medicine have greatly reduced mortality rates around the world. However, a lot of it depends on the accurate diagnosis. To confirm whether a patient has a particular disease, doctors will often prescribe more than one test. This is mainly because of incidental findings that point to other conditions. The downside is that this can often delay treatment and can be an expensive affair.
The MedTech revolution could soon make these concerns a thing of the past. Advanced clinical decision support tools now available to help doctors objectively analyse the probability of a patient having a particular disease before prescribing a diagnostic test. From clinical research to service delivery, AI will play a critical role now and, in the time, to come.
Big data-based predictive modelling is another breakthrough that is being widely used to accurately predict drug efficacy. These technologies allow doctors to prioritise critical cases and significantly increase the odds of recovery for patients. The era of high speed, precision diagnosis is finally here.
To say that the pandemic has accelerated the development of tech-enabled diagnostics and patient care solutions would be an understatement. It has been nothing short of a generational leap. A new generation of connected devices powered by AI, cloud and big data is set to change the face of healthcare as you know it.
Let’s take a look at some of these innovations and the promise they hold for humanity in the near future:
- Integrated on-device AI improving diagnosis & efficiency – On-device AI is enabling nursing staff to be much more efficient in managing routine tasks like organising patient records and conducting diagnostic testing. The latest generation of X-Ray, CT scan and ultrasound devices have built-in AI apps that can dynamically analyse and perform targeted actions based on test results and thereby reduce manual effort for operators.
For example, on-device algorithms can reduce the number of keystrokes required to conduct a typical ultrasound exam by up to 78%, assisting physicians with greater accuracy. In a nutshell, AI is buying precious time for patients with debilitating health conditions.
- Automated patient positioning enhancing accuracy – Healthcare professionals often experience burnout as they routinely work long hours and perform repetitive tasks increasing the scope for errors. For example, technicians have to set up MRI and CT scan machines and manually position patients to ensure proper scanning. The process usually takes time and patience to complete.
The latest CT machines come with camera-based automatic positioning technology that leverages AI to generate a 3D model of the patient’s body, identify the optimal scan range and auto-position the patient without any intervention from the operator. On-device AI thus enables healthcare professionals to access patient data on demand, reduces workload and boosts diagnostic accuracy substantially.
- Virtual care increasing in quality – If telemedicine provided remote access to quality healthcare, virtual care has dramatically increased its scope and scale. However, effective data management remains a bottleneck for speedy diagnosis and quality healthcare. From smart mobile apps and wearables to video feeds, there are multiple channels for doctors to monitor patients. Without proper data integration, decision making is often slow.
Cloud services are finally enabling virtual care providers to bridge this gap. For example, patient data captured by medical devices can now be uploaded and stored without limitation. On the other hand, AI-enabled clinical decision support software tools are allowing doctors to diagnose rapidly and accurately.
- Data analytics providing greater healthcare delivery – In an era where patient experience is seen as central to driving revenue growth, effective operations management is emerging as a key result area. Leveraging technology for data collection, storage and later use has become more streamlined in recent years. Besides harnessing data to improve day-to-day operations and better patient care, healthcare professionals are also using predictive modelling to derive insights and make predictions. This helps to track trends and make predictions for accurate diagnosis and enhanced patient care.
By leveraging data analytics, hospitals are better positioned to identify service gaps, standardise workflows across departments and improve patientcare. The result: greater visibility of patient data and more efficient healthcare delivery.
To cut the long story short
MedTech is rapidly pushing the envelope for innovation in the healthcare industry. It brings a transformative set of capabilities to the table that is already reducing operating costs for hospitals, streamlining operations and increasing margins via value-based care. Most importantly, it can dramatically improve the patient experience through hyper personalised care.
The future of precision healthcare is already here!
Views expressed above are the author’s own.
END OF ARTICLE