Blog

Current Issues in Health Care and What Administrators Can Do

Over the last two decades, the health-care industry has undergone dramatic change. Several issues affecting access to care, quality of care, and cost of care have been addressed by industry and political leaders. The COVID-19 pandemic highlighted these issues, as hospitals struggled to treat an influx of patients and public health officials worked to prevent Read More

Top 10 Healthcare Industry Trends in 2022

1. Computer Intelligence: Traditional labor-intensive and time-consuming processes in healthcare are being replaced by rapid, remotely accessible, and real-time solutions for diagnosis, treatment, and disease prevention. To extend the benefits of AI, HealthTech startups create software platforms, application programming interfaces (APIs), and other digital products. Clinical workflow management, advanced surgery assistance, and medical diagnostics are Read More

Precision Medicine Will Force Out the One-Size-Fits-All Approach

What exactly is Personalized Medicine? What would you do if someone you care about was diagnosed with a serious illness? Imagine that the medicine and dosage they receive to cure their disease are precisely tailored to their symptoms, resulting in minimal side effects and a high chance of survival/cure. Predicting this precise and individual response Read More

Interoperability and Data Sharing Among Healthcare Entities

Data is everything in today’s modern healthcare. Data is being collected on a massive scale, from health-focused smartphone apps to the electronic health records (EHRs) that doctors and hospitals manage, and it could provide invaluable insights into individual and population-wide behaviour and health trends that could transform how healthcare providers operate and deliver care. If Read More

Overcoming Mental Health Challenges with Telepsychiatry

Mental illness affects one out of every four people. According to WHO reports, nearly two-thirds of people with mental illnesses do not seek help. Some of the reasons for this include fear of discrimination, stigma, and a lack of awareness. Lack of timely intervention and postponement of treatment may be factors contributing to these rising Read More

Payer-Provider Bonds Will Strengthen to the Patient’s Benefit

Payers and providers are increasingly forming strategic alliances to keep up with a rapidly changing healthcare payment system that rewards value over volume — by controlling costs, improving population health, and improving the customer experience. Potential payer-provider collaboration models range from contractual agreements for specific lines of business to joint ventures to the formation of Read More

Integration of Healthcare Systems with Big Data and Data Silos

With the integration of larger teams and a distributed workforce, organisational structures are evolving from having no ecosystem to catering to a diverse ecosystem. This evolution has contributed significantly to functional silos in healthcare and instilled discipline in organisations, but it has also resulted in the delivery of numerous multifaceted challenges affecting healthcare delivery services. Read More

Internet of Medical Things (IoMT)

IoMT has a wide-ranging impact on the healthcare industry. These changes are most noticeable when IoMT is used at home, on the body, in the community, and in the hospital: IoMT at home: People can use in-home IoMT to send medical data from their home to other locations, such as their primary care provider or Read More

Adoption of AI-backed Technologies by Hackers Targeting Healthcare

What Is Machine Learning and How Does It Apply to Cybersecurity? Machine learning (ML) is AI’s brain—a type of algorithm that allows computers to analyse data, learn from previous experiences, and make decisions in a manner similar to human behaviour. In cybersecurity, machine learning algorithms can detect and analyse security incidents automatically. Some can even Read More

Globalization of AI Requirements in Healthcare

WHAT IS MEDICAL ARTIFICIAL INTELLIGENCE? The essence of evidence-based medicine is informing clinical decision making with insights from previous data. Statistical methods have traditionally approached this task by characterising patterns within data as mathematical equations; for example, linear regression suggests a ‘line of best fit.’ AI’s ‘machine learning’ (ML) techniques uncover complex associations that cannot Read More