We bring the necessary analytics capabilities that enable system-wide quality improvement and cost reduction efforts promising the ability to transform healthcare into a truly data-driven, value-based industry.
Financial risk is quickly shifting in the healthcare industry from the Payer to the Provider. Given this shift in risk to Providers, hospitals are becoming a data driven sector now more than ever before. The ACA has demanded improved outcomes with CMS incentivizing these performance metrics in this new value-based healthcare care continuum; creating a mantra of “follow your data to make the optimal decisions for the best patient and financial outcomes.”
iCube brings the necessary data analytics capabilities that enable system-wide quality improvements and cost reduction efforts that are needed to transform healthcare into a truly data-driven, value-based industry sector.
Did you know?
Healthcare as an industry is perfectly suited for big data analytics given the vast amount of data generated from the various disparate healthcare providers. It is estimated that up to 80% of the healthcare data sources are unstructured data containing non-uniform data types from this disconnected ecosystem and that is exactly what big data solves for. And making sense of these various data types/sources and identifying patterns and insights is where predictive analytics comes into play with big data. As an industry healthcare’s big data universe is where many of the healthcare cost savings are hidden. Cracking this hidden code represents a huge ROI potential to the healthcare industry.
Our Predictive Healthcare Analytics Readiness Assessment will help you:
The assessment will take place over the course of a few weeks with key stakeholder interviews conducted as suggested by the Executive Sponsor and will also include observations and analysis of the current state of the organization’s processes, people, and policies. Check point status meetings will be held and final deliverable will be an in-person executive presentation.
Another looming outcome from the ACA is an emerging area of healthcare called Population Health (PH). Commonly defined as managing health outcomes for entire population groups by using an integrated end to end approach throughout the entire healthcare care continuum (prevention thru cure). Longer term PH will encourage healthcare providers to move into an IDN care model to facilitate and enable this initiative to be truly successful.
The four main components of a sound PH program are:
The macro goal of this program is to improve patient outcomes with an integrated approach involving a 360° view of the patient. This full view into the world of the patient allows for risk stratification by cohort group and then predictive models can be utilized to classify patients by their levels of health risks. While this may sound highly futuristic today, there are tangible, actionable steps that can implemented now to begin down this path. As with any major organizational program involving significant change a phased-in deployment approach is considered a best practice.
Here are the four tangible areas to begin focusing on now:
Connect with us to learn more about how our Population Health Assessment solution can help your healthcare organization get ready for this new emerging wave in healthcare management!
Financial risk on reimbursements is rapidly shifting away from the Payers to the Providers. It is widely known that value-based care is gaining acceptance in the healthcare industry, and is here to stay. CMS has a stated goal of moving 50% of their FFS payments into an alternate value-based payment model by 2018. And with most hospitals recognizing 35-45% of their revenues from CMS claims payments there are serious financial risks associated with these new initiatives that need to be effectively managed right now.
While BPCI is still in the voluntary participation mode, CMS has just imposed a second mandatory program (1/2018) for select hospitals for certain Cardiac DRG’s (AMI, CABG, and PCI). With the advent of this second five-year mandatory bundled payment program, it is a strong signal that other elements of current BPCI program could move beyond being voluntary soon. Many hospitals are finding implementing a successful CMS bundled payments program to be problematic in many areas such as data analytics, human capital talent, and IT infrastructure.
This upcoming Cardiac EPM program impacts hospitals (approx. 1100) in 98 Metropolitan Statistical Areas (MSA) that aren’t currently participating in BPCI for those respective DRG codes. The five-year program includes 15 MS-DRG codes and phases in downside risk sharing for the fixed 90-day bundles after year one. On the upside gain sharing; year one is capped at 5% and increases to possible gains of 20% in years four and five. The effective date for these mandatory cardiac DRG’s is 1/1/2018.
iCube’s current DUA with CMS enables us to maintain a full in-house CMS claims data warehouse with 100% of the claims for 2016. This includes all the LDS datasets required to better understand your historical episode costs to allow for comparative benchmarking vs. your MSA Peers, and assess any gaps you might have that could be a potential roadblock for implementing a successful bundled payments program. Target pricing in years four and five will be derived 100% from the MSA regional historical claim costs so getting a firm handle on how your hospital compares is one key to your success. And our predictive analytics platform called PQuintile PAC™ was built from scratch specifically for this CMS program with major collaboration from various clinical and non-clinical experts to create a unique, one of a kind solution from our first module PQ Predict™ to PQ Act™ thru PQ Care™. With our full spectrum of data, services, and software solutions we can help put you on the best path for your future success.
Unlike other healthcare analytics firms, iCube’s PQuintile Risk Analytics Practice Group offers flexible service options to our hospital clients from a full outsourcing of all your data analytics, human capital, and IT infrastructure needs to one-off project work as your needs for extra support arises. These options allow you to focus on your core capabilities of clinical and operation excellence while iCube does the data mining/heavy lifting for you. Or iCube can work in any other manner you’d like to enable your hospital to successfully manage these upcoming cardiac episodes.
Is your hospital ready for the mandatory Cardiac EPM? Let us consult with you now on how to plan your approach to get ready for the 1/2018 launch date.
Our Maximizer hospital analytics platform contains a robust data set of 3000+ acute care hospitals in the USA. Comparative research work within geographic areas allows for a MSA peer group comparison or head to head with a particular hospital that is of interest.
1. Profile information such as number of inpatient days, average LOS, number of surgeries etc.:
2. ACO/BPCI Data:
iCube’s database features the most up-to-date and in-depth data on over 800 Accountable Care Organizations (ACOs) and 200 Health Information Exchanges (HIEs), as well as Clinically Integrated Networks (CINs). This list of accountable care organizations and related organizations includes:
3. CMS Claims Data
The PQ Predict tool helps in predicting the outcomes for individual patients and hospitals, clinical benchmarking in terms of KPIs, clinical decision support etc.; by analyzing information from historical and current data. The various data sources for this historical and current data include hospitals, Electronic health records, Clinical data (blood work etc.), Non clinical data etc.
The PQ Act is the point of care solution for clinical and nonclinical staff of the ACH. It can be integrated with EHR systems to retrieve patient profile, get patient medical information, take patient surveys (like minicog…etc) and provide recommendations of discharge plan and PAC Distribution.
The PQ Collaborate tool helps in the care coordination and collaboration of ACH staff with ACH (client) partners. This enables the data capture of discharge handoff, patient monitoring, ability for PAC staff to input patient claims data, medical information, provide feedback etc.
PQunitile™ PAC is powered by Dr.Oid ™, our cloud-based virtual physician that is derived from a series of Artificial Intelligent (AI) technologies and capable of providing predictive analytics, simulation and decision support. PQunitile™ PAC focuses on understanding patient outcome ‘impactability’ and optimizing patient care quality and cost of care during the post-acute care phase of the episode.
A major medical device company came to us with a challenging issue they were trying to solve for on a new product launch. The product had a strong clinical benefits profile with a unique MOA but they also wanted to create a unique economic story and use case around a new CMS initiative called Hospital Acquired Condition (HAC). ACA was becoming a reality and CMS was looking for ways to reduce the cost of healthcare for their inpatient beneficiaries.
The client felt if they had a strong economic case it would help build their distribution and sales volume much faster than launching with the clinical story alone. But they struggled coming up with a compelling value proposition and ROI for the product.
So we conducted customer research and came across an idea that synced up directly with the HAC initiative which was a hot button at the time. We developed a hospital analytics app that could quantify reductions in sepsis cases and the app could be used by the sales force at the individual hospital level to produce economic benefits metrics and ROI measures in real time right on their iPads.
With the new app the reps could prove out for the hospital procurement people how much money would be saved by using their product by reducing ICU LOS days and reducing mortality rates. Based on the average hospital volume the annual savings were approx. $500K with an ROI of almost 10 to 1.
The client deemed the solution to be a major component in making the new product launch highly successful.