Strokes cost an estimated $34 billion in the US every year. A large portion of that price tag is preventable.
But the industry can adopt strategies to protect patient data.
How data privacy, cybersecurity, ethics and malpractice intersect.
Self-scheduling can empower patients and improve care.
Why the finding is significant in healthcare and elsewhere.
Care coordination is integral to improving patient care.
Who is Amy Abernethy and what does her FDA appointment mean for health data?
Three ways healthcare delivery is changing.
Smarter bots to solve RCM challenges.
The FDA has approved a new tool for patients with mental illnesses taking aripiprazole tablets—a digital sensor that reports when patients have taken their medication.
Tiny defects under high-tech observation could point to breakthroughs.
Patients want telemedicine services. Is your health system answering the call?
How far has health IT come in meeting Meaningful Use standards?
Survey results offer insights into AI challenges and solutions.
Exclusive research from HRA® shows that patients are increasingly familiar with wearable technology, though somewhat concerned about costs and privacy implications.
A business case for system-level implementation of eConsult platforms across CHCs.
Sponsored: Dallas County saw a 4-to-1 return on its investment thanks in part to SAP’s fast, reliable enterprise solutions. Now, thousands of patients receive the right care they need.
"We gave clinicians suboptimal cars, didn’t build roads, and then blamed them for not driving,” the authors said of the transition’s nearsightedness.
Tech and business giants hope they can innovate solutions to healthcare’s greatest challenges.
Ad: How automated data delivery to the point of care is improving physician workflow, patient outcomes and hospital revenues.
Healthcare is a major hacking target. Get ready before things get messy.
Patients in rural communities could benefit most from greater healthcare access. But challenges remain.
Why behavioral health is ripe for digital health interventions.
Data complexity is a serious problem that requires a serious solution.
How looking for a savior could help and hurt modern healthcare.
Stakeholders hope AI, machine learning will significantly decrease death toll.
8 ways healthcare decision-making can be simpler for users.
How data science and machine learning can help patients with diseases like multiple sclerosis.
CDs are costly — and they can affect treatment and patient satisfaction.