Advize’s Post

Following on from my last post, I thought I would share some additional information about the Data Cleaning facility. If you would like any more information or get your free health check, please get in touch with me directly #creditsafe #naughtyornice #datacleaning #datahealthcheck #cleandata #uptodatedata

THE CLAIMS DATA 101 COURSE IS BACK - STARTING 6/24: https://lnkd.in/ez4zCxqk Claims data is probably one of the most used sources of data in healthcare analysis, but has a bunch of unique issues to it. Trying to use a dataset created out of billing for non-billing use cases like risk stratification creates some strange issues. This course teaches you everything you need to know about claims data analysis in the real-world

💡 Ready to tackle the challenge of low practitioner response rates? 💪 Our latest article has you covered with three effective strategies to get those responses rolling in. Say goodbye to missed deadlines and hello to a more efficient process. Check it out now and level up your data accuracy game! #QuestForSuccess

Struggling with NHS Data Challenges? We’ve got a Solution. Join us for "Modernising your NHS Data Strategy - A roadmap to data-driven success" and gain the tools to tackle these hurdles head-on. 📅 21st January | 11.00am – 11.45am What you’ll learn: - Simplifying Complexity: Strategies to untangle and streamline your data systems. - Driving Insights: How analytics can turn raw data into actionable outcomes. - Security and Compliance: Ensuring your data strategy meets regulatory demands. With expert-led sessions and actionable insights tailored to NHS-specific needs, this event is your chance to move from challenges to solutions. Don’t let data chaos hold your healthcare organisation back. Register now: https://lnkd.in/e-qPi6P4 #ModerniseYourData #NHS #DataForGood #HealthTech

My latest blog post discusses fraud in healthcare and wound care. "The Guiding Light of Data: Enhancing Healthcare Efficiency and Integrity" The healthcare industry has long been shrouded in complexity and opacity, but data analytics is starting to change this landscape. By revealing hidden issues, data analytics is driving change in detecting fraud, improving efficiency, and ultimately transforming patient care. Highlights of the article include... 👉 How data analysis uncovered significant fraudulent practices within the Medicare Advantage program. 👉 Recent DOJ charges highlighting fraudulent practices in the wound care sector. 👉 The role of data in breaking the opacity of healthcare, paving the way for improved efficiency and reduced costs. The potential of data analytics in healthcare is immense. By leveraging accurate data collection and analysis, we can uncover hidden issues, optimize resource allocation, and improve patient care. It's time for healthcare professionals and organizations to embrace these innovations and challenge the status quo. 📖 Read the full article here: https://lnkd.in/d4pzBfwq 💡 What are your thoughts? #HealthcareFraud #HealthcareData #DataAnalytics

Clearly siloed data is not the most dire challenge facing our health care system -- and HIPAA compliance presents hurdles to data fluidity. However, extrapolating from stories shared recently, the impact on patient experience is profound. Naming just a few symptoms: - Getting multiple, sometimes contradictory, bills for the same service,  - Coverage denials due to incomplete or inconsistent documentation - Difficulty tracking and managing multiple bills from different systems - Time lost from work dealing with administrative issues - Anxiety about mistakes due to communication gaps Surely we can do better?

Join me tomorrow for our latest webinar on #healthcare big data. Specifically we'll be talking about transparency in coverage and our latest capabilities for payer rate analysis and wrangling data from machine readable files. Register here: https://lnkd.in/etgPtk2Z #bigdata #pricetransparency #healthinsurance #transparencyincoverage

I have a lot of thoughts about all of the news this week. Folks have done a great job explaining it (hat tip to Brendan Keeler for his excellent explanation). So my thoughts will be brief. 1) Misusing purposes of use or setting up shady practices which just barely meet the definitions if you squint real hard at them is NEVER ok. We owe so much more to patients than that. Be better. 2) It is especially reprehensible if data is being used to allow law firms to search for class action lawsuits. My private healthcare data should never be used to allow ambulance chasing lawyers to find cases. If I want to file a case that's for me to decide, accessing my personal information to decide that for me, NEVER ok. Again, be better. 3) Many of us have been pushing hard (some of us since 2017 and the first draft of TEFCA) to expand the purposes of use within HINs so that folks have legal and appropriate avenues to access data bringing transparency to data sharing. This gives patients more choices not less and ensures an even playing field. The slow walking being done on payment and ops and broadcast/identity based individual access (and let's be fair their are financial motivations by some of the orgs to slow this down) is not acceptable. We have to move to expanded permitted purposes that take into account who the requestors are and how they will be using data and ensure both of those are clear to data holders. 4) Trust but audit/verify is key to trust at a national scale. If you are an EHR vendor you must have systems in place that can identify abnormalities and patterns in data requests. HIEs have had this technology in place for years. HIEs that have very little funding, have systems in place that can identify odd requests and immediately stop them. EHR vendors have no excuse not to have equivalent technology in place. Bottom line: Be better. Don't break an entire system that is vitally important to the health of patients just to pad your pockets. Maybe take a second to think, would I want my health data or my family member's health data used in this way. This is not just data. This is incredibly personal information about people; information we want them to share with their doctors freely, which they will not do if they can't trust it won't be kept private. So be better.

Claim edits are a #health plan’s first line of defense in ensuring payment accuracy and reducing costs. 💰 They rely on standards, policies, and guidelines at the national, state, or plan level. But with these constantly evolving rules, staying ahead is challenging. 🎥 Watch the clip now to hear Healthcare Data Scientist Juandiego Marquez explore how to effectively navigate this landscape and protect your plan from improper payments: https://hubs.la/Q02L6j730 #Healthcare #PaymentIntegrity

This HSJ webinar, in association with Experian Data Quality, will bring together an expert panel to discuss: - How much of a problem is inadequate, incorrect, or outdated patient data for the NHS? What are the consequences of this? - How can trusts ensure that the basic data they hold about patients — such as correct names and addresses — is as up-to-date as possible? - How can “data silos” be overcome so that everyone involved in a patient’s care is seeing the same basic data? - What can be learnt from organisations that have made a concerted attempt to “cleanse” their data? What sort of improvements have they seen, and what does this mean for the NHS?  Register today: https://lnkd.in/eRQ942HA #hsjwebinars