Tag Archives: data

Will the first technology choices in design of population health be the most important?

As the healthcare industry strives to converge all the data sources required to manage population health, the mass of data needed to do it well, and to both clinically and analytically inform, will require something of a science project. Let’s call it gravity. Continue reading

The Internet of Things in Health Care

A few weeks ago, my wife and I were watching an interview with Dr. Michael Roizen, who leads the Department of Preventive Medicine at the Cleveland Clinic. Dr. Roizen was describing his “7 Action Steps to a Healthier You,” one of which is “Walk 10k a Day,” where one tries to take 10,000 steps each day. Dr. Roizen explained that this 10K threshold seems to impart important health benefits, although the mechanisms aren’t fully understood. While my wife and I try to get out most mornings and walk for 30-60 minutes—at least that’s our intention—we had no idea how many steps we were taking. Continue reading

Transforming Health Care Through Accountable Care Organizations

The design and implementation of accountable care structures like ACOs has been a popular mode of transforming healthcare from volume- to value-based healthcare delivery systems. As was oft-quoted in the early stages of ACO development, they are akin to a unicorn—that is, everyone knows what they look like but no one has ever seen one. Now, as ACOs have evolved and have some experience under their belt, the common quote seems to be “when you’ve seen one ACO, you’ve seen one ACO.” Continue reading

Is Our Approach to Quality Measurement Getting in the Way of Quality?

The path to better population health outcomes is difficult–and our approach to quality measurement may be making it harder. Process measure improvement does not consistently lead to outcomes that matter, and narrow-focus outcome measures sometimes apply to a very small part of the overall population. Continue reading

Three Strategies to Fund Sustainable State IT Data Projects

Escalating healthcare costs have persuaded many states to redesign their Medicaid payment systems. Most of them are also developing innovative uses of their client data to help reduce Medicaid costs and improve health. The projects range from alternative payment models to all-payer claims databases, often funded by grants. Continue reading

Airbags and Analytics

I am not a fan of cold weather. Not a snow lover, don’t like sleet, detest freezing rain and ice and the resulting traffic accidents. Most folks don’t think about their airbags until they begin to skid on an ice-covered road and suddenly it becomes one of the most critical components of the vehicle.

Bad weather makes me think about the news reports of the frightening problems with faulty airbags. I was surprised to hear reports that the problem impacts the entire price range of vehicles – from economy to luxury brands. The news got me thinking – is an airbag a component auto manufacturers would compromise? Continue reading

A Gift from the OIG That Could Be Worth Millions

Not convinced of the importance of administrative and financial data integrity in health care? Consider – both OIG and OCR (Office of Civil Rights) are monitoring healthcare provider’s (facility and professional) compliance patterns. Whether it is a HIPAA violation or claim error, they are able to determine if the problem is due to a simple mistake or emblematic of larger systems issues. Repeated non compliance patterns are revealed in monitored data.

On June 5, 2014 the OIG released results of an audit performed on a large medical center for calendar years 2010 and 2011. Unfortunately, the medical center was found to be in non compliance with about 50 percent of the claims reviewed. The OIG’s data monitoring efforts identify areas of concern – even when an organization believes it is compliant. Just like banking and other regulated industries, data integrity is crucial to both providers and monitors. Every aspect of compliance – especially those that are most complicated – becomes critical. Continue reading

Health Equity: Data and Analytics Are The Great Equalizer

Those in public health believe that everyone is entitled to breathe the same clean air, drink the same safe water, and eat the same uncontaminated food. Public health protects and promotes health for everyone — regardless of race, sex, age, socioeconomic status, whether among rural or urban dwellers, whether the employed or unemployed. The basis for charting progress has been measuring and monitoring health indicators using epidemiologic tools and methodologies that account for variations in the population, such as identifying risk factors for certain conditions and geographic considerations.

But what about equity in access to health care, health information and health security? Continue reading

What Every Hospital Ought to Know About Measuring Patient Quality, Cost, and Experience

Every hospital in the U.S. is being pushed to improve patient experience, health outcomes, and total costs. Not every hospital has a data analyst –let alone a team of analysts—dedicated to measuring the progress. Fortunately, the 3M Client Experience Summit provided plenty of opportunities to learn from presenters and trend-setting hospitals.

This year, for the first time, several sessions at the Summit focused on population health. Amirav Davy, senior clinical analyst at Allina Health, talked about how to “provide information that matters” in improving transitions of care.

Following his presentation, 3M met with Amirav to learn more about how Allina uses analytics to improve the delivery of healthcare. Here are some excerpts from the conversation: Continue reading

HIMagine That! ICD-10 Coding Quality Review

Sue: Donna! CMS has finally addressed a new ICD-10 compliance deadline. Looks like we’ll be working toward an October 1, 2015 go-live date.

Donna: Yes, I’m glad we’re not in waiting mode any longer! Even with an extra year to prepare, I’m concerned that nobody is really talking about their Quality Review plans to assure accurate I-10 coding and CDI practices. Talking about their QA plans will really help the prep!

Sue: How so?

Donna: As I talk to people who are practicing with I-10 coding I am hearing that they are identifying discrepancies in their data between I-9 and I-10. I think that reviewing mismatches between MS-DRGs in I-9 and I-10 is a good place to start the QA process in the inpatient setting. Continue reading