Machine Learning and Big Data in Modern Healthcare Planning

In the face of foreboding numbers, the quickly emerging field of big data analytics is poised to alleviate, if not solve, many of these problems facing healthcare in 2022.

In order to keep pace with this rapid development, hospital planning methods need to adapt and modernize in kind.

"Machine learning in healthcare allows professionals to focus on patient care, while eliminating the possibility of human error."

The opportunities of machine learning in the healthcare sector are endless.

Machine learning techniques provide a wide-variety of solutions in the healthcare landscape through classification, recommendations, clustering, prediction, anomaly detection, automation, and ranking – just to name a few.

It allows healthcare professionals to focus on the patient rather than spending time combing through information, entering data, or searching or solutions. Providers can now develop more personalized, precise treatment plans for patients, and its diagnostic and predictive capabilities are unmatched. For example, machine learning proved to be 92% accurate in predicting the mortality of COVID-19 patients.

The potential impact on hospital planning is difficult to overstate:

ICT systems will undergo massive expansion to accommodate the torrent of data, future-proofing will be more necessary and more difficult than ever. Nearly every piece of equipment, down to the smallest regulator, will be connected to a vast Internet of Things (IoT).

Hospitals of all sizes will now need the infrastructure to support the following machine learning capabilities.

1. Clinical decision support systems

2. Smart record-keeping & data collection

3. Personalized medicine

4. Machine learning in medical imaging

5. Behavior adjustments

6. Predictive analysis to treatment

7. Drug discovery and production

8. Elderly and low mobility care

9. Infectious disease outbreak prediction

It is also important hospital networks have the bandwidth to support future technologies and devices as they emerge.

Wide-scale adoption poses some challenges.

Modern Clinical Planning has equipped our Micro-Hospital model to accommodate the rapid pace of evolving technology. Our systems are set up to input high quality data to build precise algorithms and accommodate physician-friendly products.

Our design of cables, networks, storage and the bandwidth to support new devices and technologies as they emerge ensures the infrastructure is there to support devices and methods of care, such as the wide scale adoption of virtual services, 5G digital collaborations, and a robust health data infrastructure.