MHA Guides - Careers, Certifications, Scholarships & Other Resources

July 31, 2023

Basics of Machine Learning for Rising Healthcare Leadership

Machine learning (ML) refers to a set of computational algorithms that apply statistical modeling to a specific task. Think of a task as a question or an input. The algorithm uses logic applied to that question to generate an answer or output. To emphasize the distinction between AI and ML, remember that AI refers to computational systems which mimic human behavior—ML refers to specific types of algorithms. Systems are built from algorithms; algorithms work inside of systems.

July 28, 2023

Getting Started with AI for Healthcare Leadership

Artificial intelligence is not an easy technology to implement, even on a limited scale for a controlled pilot. The processes to evaluate, implement, validate, and scale AI tools within a healthcare application are especially complex and resource-intensive.

July 27, 2023

Data Analytics in Healthcare Administration

In 2018, approximately 30 percent of the world’s data volume was being generated by the healthcare industry. Electronic health records, remote patient monitoring, wearable gadgets, and other advancements have almost certainly edged up the share even further.

June 30, 2023

How Staffing and Funding Impact Nursing Home Quality

The way in which the United States finances, delivers, and regulates care in nursing home settings is unsustainable (NASEM 2023). Immediate action is necessary to correct decades of underinvestment and unaccountability. Advocates are heartened that the issue is receiving significant attention from the federal government and the general public, but disagreements remain.

June 21, 2023

Revolutionizing Long-Term & Nursing Home Care

It’s time to revolutionize long-term care. This segment of the healthcare system has endured enormous challenges over the last few years. Over 200,000 long-term care facility residents and staff died from Covid-19 during the pandemic. The Baby Boomer generation has entered old age, a demographic shift that reinforces how important long-term care and nursing home care are. Administrators and other staff in long-term care have had to repeatedly make do with too few resources and too much regulation.

June 9, 2023

ChatGPT: Relieving Healthcare’s Administrative Burden?

Learn how ChatGPT and other new AI chatbots do that by slashing the time clinicians and administrators spend on paperwork, giving physicians more time to interact with their patients. Then, find out how AI is specifically cutting the time spent on insurance authorizations and administrative reporting, two of the leading causes of clinician burnout. Finally, discover why healthcare administrators and clinicians who understand how to use AI platforms effectively will enjoy competitive advantages in the job market, plus more promotions and raises.

June 6, 2023

Financial Management & Patient Outcomes in Healthcare

According to a report by Kaufman Hall, 2022 was the worst financial year for hospitals since the onset of the Covid-19 pandemic. Median monthly operating margins were in the red for 11 out of 12 months, and approximately half of all surveyed hospitals finished the year with a negative margin. Despite the figures improving in December, many experts predict that expense pressures will continue well into 2023.

May 4, 2023

Improving Health Equity Across Coverage Types

American health insurance generally falls into one of two categories: public and private. Public insurance is run by and at least partially paid for by the government, while private insurance is often run by for-profit companies and paid for by employers and individuals. While all insurance types vary in how much they cost and what they cover, fairness in treatment shouldn’t vary simply based on who is or isn’t picking up the bill. Unfortunately, it sometimes does.

April 19, 2023

Fighting Bias in Healthcare: Racism & Xenophobia

Discriminatory practices have shaped many structural elements undergirding modern society, and healthcare is no exception. Racism and xenophobia can and do cause avoidable disease and premature death among groups often already disadvantaged (The Lancet 2022). These forms of discrimination are hardly relics from the past: some of today’s most cutting-edge technology has racist and xenophobic biases built into it.