How AI Will Change Healthcare by 2020

HEALTH TECHNOLOGY

Article | September 28, 2022

With medical system consolidation and increasing numbers of medical records created, the need for digital access and storage is gaining steam. Digitizing records allows clinicians to improve accuracy and decrease redundant testing and studies, as well as reduce treatment delays. Greater availability of digitized records has other perks too. With vast amounts of accessible medical data, researchers can move public health studies forward, also potentially improving care and treatment of individual patients. As a result, cloud storage is taking off, though healthcare organizations are adopting it more slowly than other industries. According to a 2019 Nutanix report, 71% of healthcare organizations using cloud were considered the least mature – relative beginners – in that they were using fewer cloud services. Compare that figure to finance or retail, where 13% and 15% respectively were beginners. However, that is changing.

HEALTH TECHNOLOGY

Article | December 8, 2022

During the past decade, the healthcare industry has undergone an unprecedented technological transformation. The industry, once defined by manual processes, has moved squarely into the digital age. As patients, we’ve all become accustomed to seeing physicians as well as clinical staff use laptops during office visits. And behind the scenes, hospitals and health networks have made substantial investments in financial and HR systems, among others. One of the more significant digital advancements has been the industry’s focus on applying greater levels of automation to supply chain processes. In doing so, provider and supplier organizations have improved the efficiency of their supply chains, driven out millions of dollars in cost and waste, all while keeping patient care front and center.

HEALTH TECHNOLOGY, DIGITAL HEALTHCARE, MEDICAL DEVICES

Article | December 7, 2022

Artificial intelligence (AI) – long an impactful technology in other industries – is in the midst of rapid adoption across the healthcare industry. What was once seen as having great potential is now making its way to real-world implementation, driving improvements in care through enhanced clinical decision support, empowering payers, providers and healthcare organizations across the ecosystem with actionable insight. Patient-generated behavioral data is becoming increasingly common for care management. Smart gadgets such as Fitbits, smartphones and other wearable sensors collect patients’ data, helping patients and physicians better understand habits and set realistic healthcare goals.

Article | February 10, 2020

By definition, precision medicine treats the individual while public health focuses on population-level interventions. While public health and precision medicine efforts overlap, some experts argue that precision medicine advancements fall short of public health goals due to their underemphasis on scalability and accessibility. Digital health can help reconcile this conflict by promoting precision medicine’s goal of delivering the right treatment to the right patient at the right time while improving health equity through scalable, accessible solutions.