Technology

Artificial Intelligence in Healthcare Is Making Our Word Healthier

With our ageing populations and public health concerns, huge pressures are placed on provider workloads, affecting patient safety risks and patient experiences.To become more efficient, healthcare providers must give improved quality treatment, enhance patient satisfaction, lower costs, become more efficient, and implement the most recent advances in medication therapy. Healthcare environments have massive information that

Healthcare Crises in Africa

Healthcare Crises in Africa

Share
Operating room Doctor or Surgeon anatomy on Advanced robotic surgery machine futuristic virtual interface, robotic surgery are precision, miniaturisation future of tomorrow healthcare and wellness
Advertisement

With our ageing populations and public health concerns, huge pressures are placed on provider workloads, affecting patient safety risks and patient experiences.
To become more efficient, healthcare providers must give improved quality treatment, enhance patient satisfaction, lower costs, become more efficient, and implement the most recent advances in medication therapy.

Healthcare environments have massive information that can be utilised, and it is time to put this data to use, where AI and machine learning approaches intelligently incorporated into workflows will enhance healthcare delivery for all stakeholders.
The health technology sector is estimated to reach USD $280 billion by 2021, growing at a 15.9% CAGR between 2016 and 2021. Deloitte identifies data as “the new health care currency.”

The problem is to unlock billions of data sets that are frequently held in unconnected digital systems and translate data into meaningful insights that modernise the health care system.

Examples of how AI can be used to modernize healthcare include:

  • Risk stratification of patient populations
  • Medication Adherence (Behavior) Analytics/Predictions
  • Disease Propensity Predictive Analytics
  • Patient hospital-acquired conditions risk – Safety Analytics
  • Clinical pathway predictions – Optimization Insights
  • Treatment effectiveness
  • Acute vs. chronic episodic care forecasting
  • Error propensity (clinical or medication)
  • Infection rate prediction Growth (Like Covid)
  • Infection rate prediction Growth
  • Intelligent Medicine Dispensing
  • Surgical Robots
  • Mindfulness Health Tracking and Analytics
  • Cobots (Home Companions)
  • Claims processing, clinical documentation,
  • Revenue cycle management and medical records management.

Conclusion


AI can bring value by automating or supplementing physicians’ and staff’s job. Many monotonous activities will be totally automated, and AI will assist health professionals in doing better at their professions and improving patient outcomes. AI in healthcare has several advantages, including the ability to automate processes and analyse large patient data sets in order to offer better treatment sooner and at a cheaper cost. According to Insider Insight, administrative duties account for 30% of healthcare expenditures. AI will have a huge influence on providing more efficiencies and breakthroughs than we can now fathom in finding more efficient methods to update our healthcare ecosystems.

Source: Cindy Gordon

Reporting for Business Tech Africa on the funding, tools and strategy shaping the continent's founders and SMEs.

Was this useful?0 reactions
Huawei apostará por el internet de las cosas para sus dispositivos
Read nextTechnology

Huawei Considers 4,000MWh Battery Storage Project in Egypt

Roy Mulenga · readContinue reading