Joyoti Goswami
Predictive analytics in EHRs aren't yet effective enough for clinical decision support at the point of care.
While understanding and reconciling drugs after discharge from the hospital can be challenging, it's a necessity for greater efficacy of care delivery. HL7's Da Vinci project can help.
In the COVID-19 era, health systems recognize that existing data infrastructure is inadequate. Here are three things large datasets need to be useful.
Technology has proved to be a blessing for consumers who today have a plethora of care options and improved access to care. This is not the case with frontline providers who continue to suffer from burnout and fatigue.
While traditionally deeply skeptical of artificial intelligence in clinical settings, in today's fast-changing care delivery landscape many physicians are thinking more proactively about how AI can improve quality and patient experience.
The right technology applications can turn the COVID-19 vaccination program into a game-changer for the healthcare industry.
Workforce
CIOs need to look beyond just EHRs and explore stand-alone platforms to enhance care delivery – keeping focused on reliable patient data and streamlined clinical workflows.
At Geisinger in Pennsylvania, a pilot program to bring care to the homes of older patients with complex healthcare needs has shown a 35% reduction in visits to the emergency department visits, a 40% drop in hospital admissions and an average annual savings of nearly $8,000 per patient.
The clinical manifestations of COVID-19 are varied, and patients are known to have rapidly changing signs and symptoms that must be tracked with laboratory testing.
How healthcare providers can leverage interoperability across the care continuum for improved care coordination and patient empowerment.