HIT Consultant
AUGUST 16, 2021
COVID-19 has no doubt been catastrophic, but let it also be the wake-up call we need to improve experiences for both patients and healthcare providers alike. So far, healthcare organizations and facilities have had to work quickly to deliver care on a functional level. Healthcare innovation must serve inclusion.
HIT Consultant
AUGUST 28, 2023
Erica Jain, CEO and co-founder of Healthie Healthcare providers depend on comprehensive patient data to make fast, informed decisions. This has made it difficult for healthcare providers to share patient data with one another.
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HIT Consultant
DECEMBER 5, 2023
Charlie Lougheed, CEO of Axuall The future of healthcare innovation over the next decade will be shaped by insights from clinician big data and AI, otherwise known as workforce intelligence. Typically, when healthcare and big data are mentioned in the same sentence, it’s in reference to patient data.
CiscoHealth
APRIL 29, 2020
Follow along with our new blog series #HealthcareNow and #PublicSectorNow , where we’ll addresses healthcare innovation around the world and how to maintain business continuity in today’s health climate. . Healthcare providers have been forced to adapt and scale virtual consultations and telehealth at a rapid pace.
Health Dialog
JULY 10, 2018
As we unwind from a busy week full of exciting healthcare innovation, I can’t help but reflect on the biggest challenge I see healthcare organizations of all shapes and sizes struggle with: patient engagement. Everyone wants to see a healthcare system with improved outcomes, better patient experiences and lower costs.
Vie Healthcare
JULY 12, 2023
Certainly, what gets me going is anything that contributes to solving the challenges that are standing in the way of more people having more awareness and access to affordable, high quality healthcare. The first is the lack of enough time for healthcare providers to interact meaningfully with their patients.
HIT Consultant
OCTOBER 31, 2022
However, patient data collection has been a historically difficult process due to disparate data sources, disconnected systems and a lack of patient-centricity in collection processes. For example, an unmanaged diabetic patient receives a continuous glucose monitor and can share that data through a patient app.
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