Posts From July, 2016

Spotlight on Analytics, Part 5 

Q & A with Gus Gilbertson, Product Manager for LUMEDX

Predictive Analytics

Q: How much of the healthcare industry has adopted predictive analytics?

A: By definition, negotiations between providers and payers are a game of who can better predict patient outcomes. Win-win scenarios can certainly be devised, but a lack of predictive ability puts an organization at risk for poor contract structuring.

Clinical outcomes are increasingly a game of predicting outcomes and identifying the levers that affect those outcomes so providers are able to improve on future outcomes. Operational predictions are also important, as misunderstanding patient care needs can lead to expensive outlier care patterns or care variations that break capacity management efforts and budgets.

Q: How do you see predictive analytics having an impact on healthcare organizations, and specifically on heart hospitals?

A: Outcome prediction and risk profiling will increasingly guide care pathway selection and tailor care patterns to targeted patient profiles. Predicting and applying the care pathway that leads to the best health outcome at the lowest cost is the foundation of healthcare in the value-based purchasing era.

The dynamics of heart health are increasingly being researched and documented, leading to continued technical evolution and improved outcomes. Being able to predict which technology will lead to the best patient outcomes per dollar spent--whether it be a TVR, and VAD, or an aspirin—is a crucial skill for providers.

Q: What is the role of predictive analytics in affecting areas like heart failure readmissions?

A: Estimates continue to suggest that as much as 20 percent or more of care is wasted. Access to predictive models for identifying patients at risk for readmissions--and providing better targeted treatment up front--are the keys to reducing readmission. Those who best understand their care pathways and patient risk profiles will be the ones who can provide the best value in heart failure care. They will be the ones who can best explain the risk factors inherent in their readmission outcomes to stakeholders from patients to community groups and regulators.

Stay tuned for Part 6 of this series!

 

Spotlight on Analytics, Part 4 

Q & A with Gus Gilbertson, Product Manager for LUMEDX

Exploring CV Service Line Analytics

Q: Where should heart hospitals begin if they want to start using data analytics?

A: Digitization is the key. Start by identifying areas where paper continues to hide data rather than illuminate care process dynamics. For all digital information, build standards for producing and consuming data so that the data collected has meaning, and those who need the information have access and know what to do with the information available.

Q: What unique challenges do heart hospitals face that can be addressed by healthcare analytics?

A: Understanding biometrics, imaging data, labs, medications, process, and outcomes measures make for a richly complex set of data to leverage to drive value in cardiovascular care.

Q: How can data analytics improve clinical care in a cardiology department?

A: With good data governance, a cardiology department can efficiently care for a variety of patients. With well-controlled processes to ensure proper procedures and medication therapies applied, patient health risks and quality of life are managed effectively.

Q: Who are the end users of an analytics product at a heart hospital? Who else should see that data and analysis?

A: The care teams are the key consumers of analytics products at a heart hospital. Clinical and administrative leaders need to know:

  • Whether health care processes are working
  • How well they are doing at achieving positive health outcomes for patients
  • What the risk profiles of their patient profiles look like compared to those of competitors and across payers

Quality, regulatory, operations, and financial stakeholders also need to understand the dynamics of the clinical, operational, and financial performance of the heart program –and where there are opportunities for improvement or celebration of achievement.

Stay tuned for Part 5 of Spotlight on Analytics, where we'll discuss Predictive Analytics. Parts 3, 2, and 1 are below.

 

Posted by Tuesday, July 12, 2016 11:08:00 AM Categories: analytics healthcare analytics healthcare reform healthcare today industry news Lumedx performance
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