Healthcare Transformation Through AI 

The industry is been profoundly shaped by Artificial Intelligence. From chronic care management and clinical decision support to diagnostics and self-care. Artificial intelligence (AI) has already revolutionized numerous industries, including healthcare. It is gaining pace and we can witness many innovations that seemed to be impossible a few years ago. Every tech vendor and science company involved in medical research or clinical trials strives to create reliable predictive and prescriptive instruments for both diagnosing and treatment.

The technology research company Gartner assumes that 75% of healthcare organizations will have invested in their AI potential by 2021 to improve the overall performance. The advantages of AI-driven medical tools are invaluable and beneficial for doctors, and patients, and are applicable in different healthcare areas. 

Healthcare analytics uses healthcare data to gain valuable insights into patient health, hospital or healthcare center management, costs, risks, diagnoses, and more. Big data in healthcare is a hot topic in the digital age. Healthcare providers collect huge amounts of data and with the powerful AI solutions and services now available, we can finally unlock the power in that healthcare data.

Implications of  AI  in Healthcare

Doctor and Patient

PATIENT HEALTH RECORD - A RELIABLE RISK PREDICTOR

Electronic health records provides wealth of information about the well-being of patients. Extracting and analyzing the data in an accurate, timely, and reliable manner. IBM’s Watson diagnoses heart disease better than cardiologists do.

EHR developers are now using artificial intelligence to create more intuitive interfaces and automate some of the routine processes that consume so much of a user’s time. Artificial intelligence may help to process routine requests from the inbox, like medication refills and result notifications.  It may also help to prioritize tasks that truly require the clinician’s attention, 

To date we still face data quality and integrity issues; however With the advances of technologies and predictive modeling, at this pace it is believed that we are getting closer to predicting healthcare trajectories from medical records.

What are Some of the Immediate benefits of AI 

  • Healthcare business intelligence – Collect industry data and turn it into actionable insights.

  • Manufacturing process analysis

  • Supply chain analysis

  • Collect accurate data to promote forecasting

  • Patient record optimization

  • Physician record tracking

  • Predictive healthcare analysis

  • Analysis of data collection and storage

  • Patient outcome analysis – How likely a patient is to respond to a treatment based on historical data from similar patients

 

What are Some of the Immediate Applications of AI 

  • Find hidden costs in your processes and eliminate them

  • Optimize patient record data collection and processing

  • Track claims, premiums, and clients and improve how the data is handled

  • Create detailed strategies for emergency responses

  • Predict the likelihood of emergencies and their impact

  • Use predictive analysis to predict the likelihood of certain events that will impact the healthcare center. Predictive analysis can also be used to determine the patient outcomes both in terms of patient health and lifestyle and also the effectiveness of treatments.

  • Create risk scores based on patient health records.

  • Determine whether your data collection and storage methods are safe, secure, and meet industry compliance standards.

Page acknowledgments : MIT Sloan. Thomas Davenport, (Future Health Journal), Gartner.  Jennifer Bresnick (Health IT Analytics), Harvard Review, NBCnews, NewScientist, McKinsey& Company