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AI and Healthcare: Figure Out the Problem First

In this contributed article, Kulmeet Singh, CEO and Founder of Twistle, discusses how AI-enabled healthcare will certainly get more robust over time and enhance the effectiveness of everyone in the broader ecosystem, and even improve outcomes for patients — that is, after all, the ultimate goal.

Proscia Launches AI-Powered Digital Pathology Solution for Dermatopathology

Proscia, a leading provider of digital pathology software, released DermAI™, the first in its series of AI applications that advance the practice of pathology. A module on Proscia’s Concentriq™ platform, DermAI leverages deep learning to pre-screen and classify skin biopsies to help reduce costly errors and improve laboratory quality and efficiency as the number of […]

5 Ways Big Data Can Vitalize Healthcare

In this contributed article, digital marketer and technical writer Sumayya Mahin offers 5 ways big data can vitalize healthcare. Healthcare, like any other industry, is undergoing a sea change. Doctors who never had any exposure to data are now leaning on data analytics, especially heavyweight technologies like big data to mine out insights about their patients. Big data will enable healthcare providers to dish out proactive healthcare processes, thereby delivering better healthcare to patients.

Tips for Keeping Data HIPAA Compliant

In this contributed article, freelance human Avery Phillips believes healthcare providers need patients to trust them. Without patients, a clinic, hospital, or practice can’t continue operating as a successful business. The fear of having one’s data put at risk can make it difficult for patients to provide their personal information or discuss health issues. Healthcare professionals should make it clear to patients that their information will be kept confidential. The guidelines below can put patients’ minds at ease.

Why Providers Should Centralize Analytics

In this special guest feature, Hossein Fakhrai-Rad, President & Chief Scientific Officer at BaseHealth, discusses how In the future, the insights derived from centralized analytics delivery models are likely to help hospitals improve quality, lower costs, identify at-risk populations and better understand performance. For that to happen, however, hospitals and health systems must first overcome the fragmented, decentralized approach to analytics that prevents them from realizing the full value of their analytics investments.

Automated Compliance Technology is the Key to Quality Health Data Analytics

In this special guest feature, Guy Meger, CTO, VP R&D of EarlySense, (a leader in contact-free, continuous monitoring solutions for the healthcare continuum) discusses how with automated compliance monitoring in place, healthcare staff can focus their expertise and time on healing, while patients can rest and recuperate without any anxiety-induced disturbances. For these reasons, many global hospitals and medical facilities are turning to automated compliance technology to support big data systems that operate at their full potential and reach their clinical and economic goals.

How Big Data Helps Vaccines Improve

In this contributed article, freelance human Avery Phillips believes that the possibilities with big data and vaccinology are endless. Lists could be automatically generated to identify under-vaccinated populations, determining what vaccines are overdue, and giving reminders to doctors and the public. Systems such as these might be the best use of big data in the quest of delivering holistic and safe health to people around the globe.

Coding the Cure for Cancer

In this special guest feature, Emily Walsh, the Community Outreach Director for the Mesothelioma Cancer Alliance, discusses how artificial intelligence is helping to detect cancers as well as the role AI is playing in the processing and sorting of data collected by cancer researchers.

How Big Data is Helping Monitor STD Rates and Get People Tested

In this contributed article, freelance human Avery Phillips discusses the importance of tracking data around infection rates, geographical location, and patient demographics for the continued treatment of STDs. This not only helps us understand how changes in communication will need to be made but also what populations need to be informed so that they can better understand their treatment. Managing big data like this and finding ways to implement it is where tech companies can step in to help with current STD rates and treatments.

Why AI is the Future of Prior Auths

In this contributed article, Ron Wince, Founder/CEO of Myndshft, examines the healthcare industry in light of a powerful argument to be made that both provider organizations and health plans can reap immediate, transformative results with AI by breaking ground on the business and administrative side of healthcare. Optimizing the prior authorization process is perhaps the most compelling example.