Saeed, what does Decision Point do?
We are a healthcare engagement analytics company…essentially we help clients that are “at risk” organizations to improve performance, including STAR ratings. We do this by providing data driven insights to more effectively engage members and providers.
What type of data do you use to make these recommendations?
Well, taking better care of members is about emotionally involving them in their care. Information to help do this resides in data that plans already have available, i.e. utilization patterns, distance to doctors, if they are compliant with evidence based guidelines, do they call into the call center. We also seek to include information about their behavior as a consumer. such as their lifestyles, their access to technology, and so forth.
Claims data makes sense, everyone has that but the other data you mentioned, that can be harder to capture. Why does non-claims oriented data matter?
We develop predictive models that are unique for each client – specifically based on the demographics and variables of their population. Variables like exercise and technology access matter because — for example, exercise habits influence mood and access to technology demonstrates a way to contact them or invite them to participate in online communities with other members like themselves.
The predictive models then determine which members are at most risk?
Yes, yes they do but they can also determine a member’s barriers to desired behavior, and their likelihood of responding to and acting on health plan communications. For example, if we identified a diabetic member as high risk of non-compliance, found their primary barrier to compliance as health literacy, and determined that the member will likely respond positively to a combination of health coaching and mobile health initiatives, we would recommend outreach that directly addresses these findings..
Noreen, when you were working on the payer side of the house, how were you going about determining which members were in your at risk population?
We had teams of people doing mining of claims data and we were asking members to complete surveys. This made for more data but the sheer volume of data made it complex to accurately review and assess which members were at highest risk. It was very challenging to take into consideration all of the variables that impact each member. Taking data from so many disparate sources and bringing it together is a big challenge.
What made it (and continues to make it) it so challenging, specifically to STARS?
So much of the data is collected as surveys or in other non-standard formats. Members inherently are unique which creates a lot of variability and it is often difficult to interpret the relationships that exist between members and primary care physicians, specialists, facilities and the rest of their care team. Relationships are important because they can provide insights into utilization patterns, potential overlaps or gaps in care and how we can most effectively engage those members in their care.
What are Informatica and Decision Point doing together?
To optimize the predictive models, as Saeed described, it’s imperative to feed them as much data and as accurate of data as possible. Without data, insights will be missed… and insights are the path to discovery and to improving CMS STARS ratings. Informatica is the data integration company — we ensure that data is reliable), connected (from any source to any target) and safe (avoiding data breaches or HIPAA violations). Informatica is delivering data to Decision Point efficiently and effectively so that clients have access to the best data possible to derive insights and improve outcomes. Our technology also provided the Star team with a member profile which brings together that disparate data and organizes it into the 360 degree view of that member. In addition to fueling Decision Point’s powerful algorithms, this is a tool that can be used for ongoing insights into the members.
Excellent, how can readers learn more?
Before I joined Informatica I worked for a health plan in Boston. I managed several programs including CMS Five Start Quality Rating System and Risk Adjustment Redesign. We recognized the need for a robust diagnostic profile of our members in support of risk adjustment. However, because the information resides in multiple sources, gathering and connecting the data presented many challenges. I see the opportunity for health plans to transform risk adjustment.
As risk adjustment becomes an integral component in healthcare, I encourage health plans to create a core competency around the development of diagnostic profiles. This should be the case for health plans and ACO’s. This profile is the source of reimbursement for an individual. This profile is also the basis for clinical care management. Augmented with social and demographic data, the profile can create a roadmap for successfully engaging each member.
Why is risk adjustment important?
Risk Adjustment is increasingly entrenched in the healthcare ecosystem. Originating in Medicare Advantage, it is now applicable to other areas. Risk adjustment is mission critical to protect financial viability and identify a clinical baseline for members.
What are a few examples of the increasing importance of risk adjustment?
1) Centers for Medicare and Medicaid (CMS) continues to increase the focus on Risk Adjustment. They are evaluating the value provided to the Federal government and beneficiaries. CMS has questioned the efficacy of home assessments and challenged health plans to provide a value statement beyond the harvesting of diagnoses codes which result solely in revenue enhancement. Illustrating additional value has been a challenge. Integrating data across the health plan will help address this challenge and derive value.
2) Marketplace members will also require risk adjustment calculations. After the first three years, the three “R’s” will dwindle down to one ‘R”. When Reinsurance and Risk Corridors end, we will be left with Risk Adjustment. To succeed with this new population, health plans need a clear strategy to obtain, analyze and process data. CMS processing delays make risk adjustment even more difficult. A Health Plan’s ability to manage this information will be critical to success.
3) Dual Eligibles, Medicaid members and ACO’s also rely on risk management for profitability and improved quality.
With an enhanced diagnostic profile — one that is accurate, complete and shared — I believe it is possible to enhance care, deliver appropriate reimbursements and provide coordinated care.
How can payers better enable risk adjustment?
- Facilitate timely analysis of accurate data from a variety of sources, in any format.
- Integrate and reconcile data from initial receipt through adjudication and submission.
- Deliver clean and normalized data to business users.
- Provide an aggregated view of master data about members, providers and the relationships between them to reveal insights and enable a differentiated level of service.
- Apply natural language processing to capture insights otherwise trapped in text based notes.
With clean, safe and connected data, health plans can profile members and identify undocumented diagnoses. With this data, health plans will also be able to create reports identifying providers who would benefit from additional training and support (about coding accuracy and completeness).
What will clean, safe and connected data allow?
- Allow risk adjustment to become a core competency and source of differentiation. Revenue impacts are expanding to lines of business representing larger and increasingly complex populations.
- Educate, motivate and engage providers with accurate reporting. Obtaining and acting on diagnostic data is best done when the member/patient is meeting with the caregiver. Clear and trusted feedback to physicians will contribute to a strong partnership.
- Improve patient care, reduce medical cost, increase quality ratings and engage members.
This year, over one dozen healthcare leaders will share their knowledge on data driven insights at Informatica World 2014. These will be included in six tracks and over 100 breakout sessions during the conference. We are only five weeks away and I am excited that the healthcare path has grown 220% from 2013!
Join us for these healthcare sessions:
- Moving From Vision to Reality at UPMC : Structuring a Data Integration and Analytics Program: University of Pittsburgh Medical Center (UPMC) partnered with Informatica IPS to establish enterprise analytics as a core organizational competency through an Integration Competency Center engagement. Join IPS and UPMC to learn more.
- HIPAA Validation for Eligibility and Claims Status in Real Time: Healthcare reform requires healthcare payers to exchange and process HIPAA messages in less time with greater accuracy. Learn how HealthNet tackled this challenge.
- Application Retirement for Healthcare ROI : Dallas Children’s Hospital needed to retire outdated operating systems, hardware, and applications while retaining access to their legacy data for compliance purposes. Learn why application retirement is critical to the healthcare industry, how Dallas Children’s selected which applications to retire and the healthcare specific functionality that Informatica is delivering.
- UPMC’s story of implementing a Multi-Domain MDM healthcare solution in support of Data Governance : This presentation will unfold the UPMC story of implementing a Multi-Domain MDM healthcare solution as part of an overall enterprise analytics / data warehousing effort. MDM is a vital part of the overall architecture needed to support UPMC’s efforts to improve the quality of patient care and help create methods for personalized medicine. Today, the leading MDM solution developer will discuss how the team put together the roadmap, worked with domain specific workgroups, created the trust matrix and share his lessons learned. He will also share what they have planned for their consolidated and trusted Patient, Provider and Facility master data in this changing healthcare industry. This will also explain how the MDM program fits into the ICC (Integration Competency Center) currently implemented at UPMC.
- Enterprise Codeset Repositories for Healthcare: Controlling the Chaos: Learn the benefit of a centralized storage point to govern and manage codes (ICD-9/10, CPT, HCPCS, DRG, SNOMED, Revenue, TOS, POS, Service Category, etc.), mappings and artifacts that reference codes.
- Christus Health Roadmap to Data Driven Healthcare : To organize information and effectively deliver services in a hypercompetitive market, healthcare organizations must deliver data in an accurate, timely, efficient way while ensuring its clarity. Learn how CHRISTUS Health is developing and pursuing its vision for data management, including lessons adopted from other industries and the business case used to fund data management as a strategic initiative.
- Business Value of Data Quality : This customer panel will address why data quality is a business imperative which significantly affects business success.
- MD Anderson – Foster Business and IT Collaboration to Reveal Data Insights with Informatica: Is your integration team intimidated by the new Informatica 9.6 tools? Do your analysts and business users require faster access to data and answers about where data comes from. If so, this session is a must attend.
- The Many Faces of the Healthcare Customer : In the healthcare industry, the customer paying for services (individuals, insurers, employers, the government) is not necessarily the decision-influencer (physicians) or even the patient — and the provider comes in just as many varieties. Learn how, Quest, the world’s leading provider of diagnostic information leverages master data management to resolve the chaos of serving 130M+ patients, 1200+ payers, and almost half of all US physicians and hospitals.
- Lessons in Healthcare Enterprise Information Management from St. Joseph Health and Sutter Health St. Joseph : Health created a business case for enterprise information management, then built a future-proofed strategy and architecture to unlock, share, and use data. Sutter Health engaged the business, established a governance structure, and freed data from silos for better organizational performance and efficiency. Come hear these leading health systems share their best practices and lessons learned in making data-driven care a reality.
- Navinet, Inc and Informatica – Delivering Network Intelligence, The Value to the Payer, Provider and Patient: Today, healthcare payers and providers must share information in unprecedented ways to reduce redundancy, cut costs, coordinate care, and drive positive outcomes. Learn how NaviNet’s vision of a “smart” communications network combines Big Data and network intelligence to share proactive real-time information between insurers and providers.
- Providence Health Services takes a progressive approach to automating ETL development and documentation: A newly organized team of BI Generalists, most of whom have no ETL experience and even fewer with Informatica skills, were tasked with Informatica development when Providence migrated from Microsoft SSIS to Informatica. Learn how the team relied on Informatica to alleviate the burden of low value tasks.
- Using IDE for Data On-boarding Framework at HMS : HMS’s core business is to onboard large amounts of external data that arrive in different formats. HMS developed a framework using IDE to standardize the on-boarding process. This tool can be used by non-IT analysts and provides standard profiling reports and reusable mapping “templates” which has improved the hand-off to IT and significantly reduced misinterpretations and errors.
Additionally, this year’s attendees are invited to:
- Over 100 breakout sessions: Customers from other industries, including financial services, insurance, retail, manufacturing, oil and gas will share their data driven stories.
- Healthcare networking reception on Wednesday, May 14th: Join your healthcare peers and Informatica’s healthcare team on Wednesday from 6-7:30pm in the Vesper bar of the Cosmopolitan Resort for a private Healthcare networking reception. Come and hear firsthand how others are achieving a competitive advantage by maximizing return on data while enjoying hors d’oeuvres and cocktails.
- Data Driven Healthcare Roundtable Breakfast on Wednesday, May 14th. Customer led roundtable discussion.
- Personal meetings: Since most of the Informatica team will be in attendance, this is a great opportunity to meet face to face with Informatica’s product, services and solution teams.
- Informatica Pavilion and Partner Expo: Interact with the latest Informatica and our partners provide.
- An expanded “Hands-on-Lab”: Learn from real-life case studies and talk to experts about your unique environment.
The Healthcare industry is facing extraordinary changes and uncertainty — both from a business and a technology perspective. Join us to learn about key drivers for change and innovative uses of data technology solutions to discover sources for operational and process improvement. There is still time to Register now!
The transition to value-based care is well underway. From healthcare delivery organizations to clinicians, payers, and patients, everyone feels the impact. Each has a role to play. Moving to a value-driven model demands agility from people, processes, and technology. Organizations that succeed in this transformation will be those in which:
- Collaboration is commonplace
- Clinicians and business leaders wear new hats
- Data is recognized as an enterprise asset
The ability to leverage data will differentiate the leaders from the followers. Successful healthcare organizations will:
1) Establish analytics as a core competency
2) Rely on data to deliver best practice care
3) Engage patients and collaborate across the ecosystem to foster strong, actionable relationships
Trustworthy data is required to power the analytics that reveal the right answers, to define best practice guidelines and to identify and understand relationships across the ecosystem. In order to advance, data integration must also be agile. The right answers do not live in a single application. Instead, the right answers are revealed by integrating data from across the entire ecosystem. For example, in order to deliver personalized medicine, you must analyze an integrated view of data from numerous sources. These sources could include multiple EMRs, genomic data, data marts, reference data and billing data.
A recent PWC survey showed that 62% of executives believe data integration will become a competitive advantage. However, a July 2013 Information Week survey reported that 40% of healthcare executives gave their organization only a grade D or F on preparedness to manage the data deluge.
What grade would you give your organization?
You can improve your organization’s grade, but it will require collaboration between business and IT. If you are in IT, you’ll need to collaborate with business users who understand the data. You must empower them with self-service tools for improving data quality and connecting data. If you are a business leader, you need to understand and take an active role with the data.
To take the next step, download our new eBook, “Potential Unlocked: Transforming healthcare by putting information to work.” In it, you’ll learn:
- How to put your information to work
- New ways to govern your data
- What other healthcare organizations are doing
- How to overcome common barriers
So go ahead, download it now and let me know what you think. I look forward to hearing your questions and comments….oh, and your grade!
As we head into National Health IT Week … like any good writer faced with a blank sheet, I was battling writers block by perusing Facebook. Coincidentally, I came across this HBR article. Healthcare — on the front page of the Harvard Business Review; so main-stream!
I implemented a Radiology Information System in 2000 and an electronic Medication Administration Record (MAR) in 2002. Back in the day, healthcare IT was the underdog, only the geekiest of geeks were up all night comparing paper MARs to electronic MARs, working side by side with the nurses and HIM to iron out bugs and taking delivery of new code into the wee hours of the morning.
Then I thought about previous National Health IT Week events. I remember gathering in DC with a bunch of other healthcare IT geeks professionals, discussing the importance of health IT. Many may not realize the type of advocacy and awareness that occurs during this week – it’s pretty impactful. We had the unique experience of walking to the office of Senator Dick Durbin, meeting with him and requesting his assistance in making healthcare IT top of mind.
We’ve come a long way. But. We have a long way to go.
In the recent past healthcare has invested heavily in applications and infrastructure; EMR adoption is up, people are commonly using the words “healthcare analytics” and “data” is everyone’s favorite four letter word. As data surfaces to the top of minds, gaining access to it, improving the quality of it and making sure that everyone trusts it has to be the next step for healthcare providers and payers. Hand coding interactions between systems is time intensive and error prone, information in aggregate magnifies data inconsistencies and data quality errors – for example, it’s always surprising to learn how many different ways a single enterprise can document marital status.
The reason to drill into this data is that locked in this data are the keys to value driven healthcare. To derive value from data, a commiserate investment in data is necessary. I hope that this year’s National Health IT week includes a focus on and discussion of the data itself – making it accessible and trustworthy — and the types of tools required to do this. Becoming data-driven is the only way to succeed in this value based model we are moving to. The three pillars of data driven healthcare are 1) Accessing and Using Data as an Asset, 2) Having Knowledge of All Participants and Actors and 3) Taking Action on What you Know.
ROI = every executive’s favorite acronym and one that is often challenging to demonstrate.
In our interactions with provider clients and prospects we are hearing that they’ve migrated to new EMRs but aren’t receiving the ROI they had budgeted or anticipated. In many cases, they are using the new EMR for documentation but still paying to maintain the legacy EMR for access to historical data for billing and care delivery. If health systems can retire these applications and still maintain operational access to the data, they will be able to realize the expected ROI and serve patients proactively.
My colleague Julie, Lockner wrote a blog post about how Informatica Application Retirement for Healthcare is helping healthcare organizations to retire legacy applications and realize ROI.
A lesson learned from other industries, like retail and financial services, is that while analytics and data warehouses are critical components to delivering big results from data — neither is easy. Gartner reported that 80% of data warehousing initiatives fail to meet expectations, often running over budget and failing to deliver a ROI.
- Executives are often frustrated because responses to their requests for new reports and edited reports take too long
- Misunderstood requirements and costly rework are the result of a lack of collaboration between stakeholders and IT
- BI consumers lose confidence in data; they don’t trust it because they lack transparency into its lineage and don’t understand why it appears differently after being aggregated with data from other applications
Expecting value from data without making a commiserate investment in data results in unmet expectations. Accessing data is hard, each request requires new effort, establishing enterprise standards for data quality are an enormous effort and transforming data to fit into a heterogeneous intelligence environment is complicated and time consuming.
Introducing multiple sources of data across organizational boundaries creates a need for an environment that supports effective collaboration between stakeholders and the information technology team implementing solutions to manage data. To be genuinely useful, data must be verifiable and trustworthy since only then will stakeholders have the confidence to make data-driven decisions. To realize the value of data, from Epic and beyond, IT leaders must implement business intelligence and data warehousing best practices that:
- bring data together across applications including clinical and financial data
- foster collaboration between clinicians, IT and business stakeholders
- establish trust and confidence in business intelligence and decision making.
EMR vendors have long encouraged that their EMR and business intelligence capabilities negate the need to have a plan to integrate data or implement a separate data warehousing and business intelligence. This philosophy begs the question – how can one transactional clinical application support the intelligence needs of an enterprise? Consider customer relationship management data for feeding customer driven marketing initiatives, time tracking data full of valuable employee utilization stats, payer claims data and newly acquired practices running an EMR independent of Epic… just to name a few.
With the recognition that an EMR accounts for only a fraction of the data needed for reliable and comprehensive business intelligence comes requirements to reconcile terminology and data quality standards across an increasingly large set of trading partners and stakeholders, to access data from other sources (like payroll, CRM and claims) and to migrate clinical data from legacy applications.
In fact, business intelligence and analytics are dependent on data from across the enterprise. Most clinical and financial decisions are dependent on data; great potential lies within data – making it a valuable asset. This is not a new idea. What is a newer concept is what it means to really elevate data to the status of an asset. Unlocking the potential of data as an asset requires that healthcare organizations begin to think about and invest in data in new ways; making investments beyond traditional infrastructure like databases and data storage. Healthcare organizations must make investments in the ongoing management and improvement of the data itself as they do with any other asset, like talent, buildings or their EMR – for example understanding its quality and allocating people and systems to managing it. Moving faster in this competitive climate and delivering differentiated results requires it.
Check back next week for Part II which explores treating data as an asset further.
Join us this year at Informatica World!
We have a great line up of speakers and events to help you become a data driven healthcare organization… I’ve provided a few highlights below:
Participate in the Informatica World Keynote sessions with Sohaib Abbasi and Rick Smolan who wrote “The Human Face of Big Data” — learn more via this quick YouTube video: http://www.youtube.com/watch?v=7K5d9ArRLJE&feature=player_embedded
With more than 100 interactive and in-depth breakout sessions, spanning 6 different tracks, (Platform & Products, Architecture, Best Practices, Big Data, Hybrid IT and Tech Talk), Informatica World is an excellent way to ensure you are getting the most from your Informatica investment. Learn best practices from organizations who are realizing the potential of their data like: Ochsner Health, Sutter Health, UMass Memorial, Qualcomm and Paypal.
Finally, we want you to balance work with a little play… we invite you to network with industry peers at our Healthcare Cocktail Reception on the evening of Wednesday, June 5th and again during our Data Driven Healthcare Breakfast Roundtable on Thursday, June 6th.
See you there!