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A Costly and Resource Intense Proxy
By Brent A. Metfessel MD, MS, CMP™ (Hon)
In a previous Medical Executive-Post, medical claims outcomes analysis was discussed as an indirect proxy for care quality.
And, we asked if anyone could comment on other ways [direct or indirect] to ascertain medical care outcomes using claims, or other data?
Non-Medical Claims Data Analysis
Now, the following are some ways to ascertain outcomes of care using non-medical claims data:
· Patient satisfaction data may be an indicator of outcomes, since patient satisfaction with care often relates directly to how well a patient has progressed with respect to his/her illness.
· Functional status survey data provides a direct subjective account of the severity of illness and/or outcome of treatment, depending on when the survey was given. A congestive heart patient that reports in a survey that he/she cannot walk up a flight of stairs may show non-responsiveness to treatment that needs addressing.
· Clinical data analysis is becoming important as more and more organizations are adding clinical data to the claims, such as lab values. Hemoglobin A1c values, for example, hold the key to how well controlled a diabetic is over the long term.
Assessment
Unfortunately, the difficulty with non-claims data is that collection of such data can be resource-intensive and costly, depending on the sophistication of the information systems available. Can anyone comment on other ways [direct or indirect] to ascertain medical care outcomes using non-claims data?
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More: JSEA20110100003_71401469
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Filed under: Quality Initiatives |
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Future Internet
Telecommunications and information technology rapidly migrate towards the Future Internet (FI) era, which is characterized by powerful and complex network infrastructures, advanced applications, services and content, efficient power management as well as extensions in the business model.
One of the main application areas that find prosper ground in the FI era, is medicine. In particular, latest advances in medical sciences are reflected on their capability to approach previously past-cure diseases, as well as to prevent the appearance and evolution of unpleasant situations.
Click to access jsea20110100003_71401469.pdf
Those advances are often derived from interdisciplinary solutions to complex medical problems, supported by communications and electronics, which target fast, reliable and stable solutions to problems that are demanding in terms of velocity and accuracy.
Egor
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Most Executives/Clinicians Say Clinical Data is the Most Useful Source of Information
NEJM Catalyst recently released results from their survey of healthcare executives and clinicians on big data. Here are some key findings from the report:
• 95% said clinical data is the most useful source of information.
• 56% said cost data and 56% said claims data was the most useful information.
• 2 in 5 said their data collection was not very or not at all effective.
• 81% said care coordination is the biggest opportunity to use data.
• Almost half (45%) said precision medicine is the biggest data opportunity.
• 72% said lack of interoperability is the top barrier to using patient data.
Source: NEJM Catalyst, March 9, 2017
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