Matthew Gitelis, CEO of PatientIQ, a medical IT company that collects insights from patient-reported outcome data, has some thoughts on healthcare information technology by 2023.
First, that patience experience will be king next year. Mid CMS doubles the weight of the patient experience Gitelis said the CAHPS metrics and the recent release of new performance metrics related to patient-reported outcomes makes it clear that patients will be a priority in 2023.
On the other hand, he distinguishes between “smarter” and “smarter” analytics for 2023. Next year, service organizations must leverage “smarter” analytics applications. — apps that aggregate predictability and description and leverage machine learning to actually move the needle, he argues.
He added that healthcare organizations need to embrace the shift to data-driven medicine. US healthcare analytics market is predicted to quadruple between “There are few things as powerful as data in medicine, but to this day a lot of clinical decisions are made without enough quantitative and qualitative data to support them,” he said.
We spoke with Gitelis to help him dig deeper into these predictions and help healthcare organization CIOs and other health IT leaders prepare for the coming year.
Q. Do you predict patient experience will take over in 2023. Why and how?
ONE. Improving the patient experience is not a new goal – it has been at the forefront of medicine for many years. But the question we need to ask is, how successful are our efforts and technology in moving the needle, because the stakes are not small at all.
For example, CMS doubled the weight of patient-experience CAHPS metrics; it revealed new performance metrics related to patient-reported outcomes; and healthcare organizations are simultaneously facing stiff competition for potential incentive payments. Our regulators are making it clear that improving the patient experience is no longer a “nice” goal – it’s an essential one.
In addition, beyond the financial and operational ramifications of not fully upgrading the patient experience, we know that clinical outcomes can be affected when patients have poor perceptions of care. their care – and the patient’s expectations do not diminish. Improving quality of care and patient perception of quality has never been more important.
Healthcare organizations have cut jobs for them. It is a daunting task to enhance the overall care experience, especially if there is no infrastructure to do so effectively – which for many people is not. And, as healthcare organizations continue to emerge from the impact of the COVID-19 pandemic, they must be strategic about investing already strained resources.
In 2023, healthcare organizations will need to continue to prioritize digital front doors and invest in the ability to collect, measure, and act on patient-reported perceptions of their health and experiences. their care experience. Clinical and operational outcomes depend on it.
Q. You also suggest the distinction between “smarter” and “smarter” analytics will be of particular importance in 2023. How is that?
ONE. Healthcare organizations have been skeptical of analytics or technologies that promise to make healthcare “smarter” — and not without reason. First, some innovators failed to realize that healthcare is inherently a human business.
The goal should always be to supplement or enhance the clinician, not replace. Second, some “smart” technology promised to help but ended up causing harm. For example, one need only look to the past few years, when “intelligent” clinical decision support tools embedded in the EHR were hailed as the holy grail of precision medicine and are now relevant to the situation. alertness fatigue and exacerbation of clinician burnout.
Some basic, descriptive analysis applications – which separate meaningful trends such as the presence of multiple comorbidities in 60-year-old patients – are shedding light on population health trends, but these This application does not reflect the full potential of the analysis. They are also not enough.
Healthcare organizations are increasingly demanding more robust functions and more predictability. They need to know not only how many risk factors the patient has, but also the patient’s success rate.
For example, consider an orthopedic facility with a 95% total knee replacement success rate. If that approach doesn’t use advanced analytics tools to mine the data and analyze why 5% of patients report poor results, they won’t have the accurate information needed to detect or solve a potential problem. Instead, they risk making the problem worse and affecting the overall outcome.
Smarter analytics applications or those that aggregate predictive and descriptive capabilities and leverage machine learning are important. We must go beyond understanding all the available information to the point where we recognize best practices consistent with clinical success.
Q. Why do you say more healthcare delivery organization leaders will be using data-driven medicine by 2023?
ONE. There’s a reason the US healthcare analytics market is predicted to quadruple between 2020 and 2030: Few things are as robust as data in medicine. However, despite its power, many clinical and operational decisions in healthcare today are made without sufficient data.
Providers need both quantitative and qualitative data to comprehensively understand how their clinical decisions translate into patient outcomes. They need the ability to gather insights at the individual patient level and then make increasingly smarter decisions to positively change patient care delivery.
And administrative leadership needs to be on the same level – they need to be able to identify the quality of care they provide and identify where they fall short and where they outperform the rest. As they continue to feel the pressure to succeed with new quality metrics in 2023, it’s important for them to remember that quality cannot be improved without data that tells a story or leads to action. .
Similarly, as healthcare payers and employers continue to seek to partner with strong value-based care providers, healthcare organizations will need to support support their abilities with results and satisfaction data. They will need to up their game and meet the data-driven care directive by 2023.
However, the challenge, particularly, for technical leadership looking to support clinical stakeholders, will be how. The key will be to adopt smarter tools to extract and analyze both structured outcome data and patient-reported data to drive process changes that correlate with both clinical quality and patient-reported data. ready and successful in business.
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