For 2023, patient experience, “smarter” analytics and data-driven medicine

For 2023, patient experience, “smarter” analytics and data-driven medicine

Matthew Gitelis, CEO of PatientIQ, a health informatics company that derives insights from patient-reported outcomes data, has some thoughts on health informatics in 2023.

On the one hand, this patient experience will be king in the coming year. Between CMS doubling the weight of the patient experience CAHPS’s metrics and its recent unveiling of new performance metrics relating to patient-reported outcomes make it clear that patients will be a top priority in 2023, Gitelis said.

On another front, it distinguishes between “smarter” and “smarter” analytics for 2023. Next year, provider organizations must take advantage of “smarter” analytics applications, those that synthesize predictive capabilities and descriptive and leverage machine learning technologies to really move the needle. , he argued.

And he added that healthcare organizations must embrace the shift to data-driven medicine. U.S. Healthcare Analytics Market Expected to Quadruple Between 2020 and 2030. Few things are as powerful as data in medicine, but to date so many clinical decisions are made without enough quantitative and qualitative data to back them up, he said.

We’ve spoken with Gitelis to get them to dig deeper into these forecasts and help CIOs in healthcare provider organizations and other healthcare IT leaders prepare for the year ahead.

Q. You predict that the patient experience will be king in 2023. Why and how?

A. Improving the patient experience is not a new goal – it has been at the forefront of medicine for years – but the question we need to ask ourselves is how successful our efforts and technologies have been. to move the needle. Because the stakes don’t go down.

CMS, for example, doubled the weight of CAHPS measures of patient experience, it unveiled new performance measures relating to patient-reported outcomes, and healthcare organizations simultaneously face fierce competition for potential incentive payments. Our governing bodies are making it clear that improving the patient experience is no longer a “nice” goal, it’s an essential goal.

Additionally, beyond the financial and operational ramifications of poor patient experience improvement, we know that clinical outcomes can suffer when patients have a poor perception of their care – and patient expectations don’t diminish. not. Improving the quality of care – and how it is perceived by patients – has never been more crucial.

Health organizations have their work cut out for them. It’s a daunting task to improve the overall experience of care, especially if the infrastructure to do so effectively isn’t there – which for many it isn’t. And, as healthcare organizations continue to emerge from the impact of the COVID-19 pandemic, they must be strategic where they invest already limited resources.

In 2023, healthcare organizations will need to continue to prioritize the digital front door and invest in the ability to collect, measure and act on patient-reported perceptions of their healthcare experience and care. Clinical and operational results depend on it.

Q. You also suggest that the difference between “smarter” and “smarter” analytics will be critically important in 2023. How so?

A. Health organizations have been skeptical of analytics or technologies that promise to make healthcare “smarter” — and not without reason. On the one hand, some innovations have failed to recognize that health care is inherently a people business.

The goal should always be to complement or augment the clinician, not replace them. Secondarily, some “smart” technologies promised to help but ultimately ended up hurting. For example, just look back a few years, when “intelligent” clinical decision support tools built into the EHR were hailed as the holy grail of precision medicine and are now correlated with alert fatigue. and increased clinician burnout.

Some basic descriptive analytics applications—isolating significant trends like the presence of multiple comorbidities in 60-year-old patients—shed light on population health trends, but they don’t capture the full potential of the analytics . Nor are they sufficient.

Healthcare organizations increasingly need more robust functionality and more predictive capabilities. They need to know not only how many risk factors a patient has, but also their chances of success.

For example, consider an orthopedic practice with a 95% success rate for total knee replacement surgery. If this practice doesn’t use advanced analytics tools to extract data and analyze why 5% of patients are reporting poor outcomes, they won’t have the accurate information they need to spot or fix a potential problem. Instead, they run the risk that the problem will get worse and the overall results will suffer.

Smarter analytics applications, or those that synthesize predictive and descriptive capabilities and take advantage of machine learning technologies, are essential. We must go beyond reviewing all available information to the point of recognizing best practices aligned with clinical success.

Q. Why do you say more leaders of healthcare provider organizations will embrace data-driven medicine in 2023?

A. There’s a reason the US healthcare analytics market is expected to quadruple between 2020 and 2030 – few things are as powerful as data in medicine. However, despite its potency, many clinical and operational healthcare decisions are made today without sufficient data.

Providers need both quantitative and qualitative data to fully understand how their clinical decisions translate into patient outcomes. They must be able to gather information at the individual patient level and then make progressively more intelligent decisions that positively change the delivery of patient care.

And administrative leadership needs the same level – it needs to be able to define the quality of care it provides and identify where it falls short and where it excels above the rest. As they continue to feel the pressure to succeed with new quality metrics in 2023, it will be essential for them to remember that quality improvement is not possible without data that tells a story or drives action. ‘stock.

Likewise, as healthcare payers and employers continue to seek to partner with strong healthcare providers, healthcare organizations will need to underpin their capacity with outcome and satisfaction data. They will need to up their game and meet the data-driven care directive in 2023.

The challenge, however, especially for technical leaders looking to support clinical stakeholders, will be how. The key will be to adopt smarter tools that extract and analyze structured, patient-reported outcome data to drive process changes that correlate with clinical quality and commercial success.

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