Using Real-Time Data to Improve Patient Care
By George Gray, Chief Technology Officer, Ivenix: Featured in 24×7, September 30, 2020
2020 is certainly going to be a year to remember. As the entire healthcare industry works through the impacts of a global pandemic, it’s also pushing itself toward renewed thinking around elevating the quality of care, improving the patient’s experience, and ensuring that safety is paramount.
Leveraging data, analytics, and advanced machine learning are all things that can support that transition. And, through the right applications, they can help improve patient outcomes over time.
Increasing Patient Centricity
Today, patients are more knowledgeable about healthcare and tech than in the past. COVID-19 has shown us just how important it is to empower patients and treat them as valued partners in managing their own care. Even prior to the pandemic, the U.S. Department of Health and Human Services (HHS) finalized its patient access rules, driving interoperability and increased access to patients’ own data for more informed, personal healthcare decision-making. And now, the pandemic is underscoring how the healthcare industry needs to do its part to advance interoperability and better leverage real-time data to engage patients and enhance care.
However, what the industry needs to understand is that interoperability is more than just exchanging data between systems. If not applied in a way that enables clinicians to make well-informed decisions, it won’t have the impact needed to significantly improve patient care. And with all the investments healthcare systems are making today, interoperability, data analytics, and machine learning will not be embraced until it is clear they can improve outcomes, operational efficiencies, and/or the cost of care.
Read the Full Article Here >