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Applying Healthcare Predictive Analytics. Dr.

Applying Healthcare Predictive Analytics

John Showalter and the University of Mississippi Medical Center are using Jvion's Acute Myocardial Infarction (AMI) predictions to stop heart attacks. Jvion's solution is performing almost two times better than stress tests and 20% better than CT coronary angiograms in predicting AMI events in a low risk population within 12 months of discharge. "Smack dab in the middle of Mississippi sits the University of Mississippi Medical Center and their Chief Health Information Officer John Showalter. Like most academic facilities, they treat some of the most complex cases and sickest patients. But in Mississippi things are even more challenging. Dr. Not surprisingly, heart disease is the leading cause of death in Mississippi. This reality sat heavy on Dr. 'If we could just predict patients at risk of a heart attack within a year, we could better allocate resources and improve the health of Mississippians' So Dr.

Dr. They got to work. The Results: Grady Using Clinical Predictions to Lower Readmissions. Grady Health System (GHS) is one of the nation's largest public academic health systems and a critical safety net provider serving the Atlanta community.

Grady Using Clinical Predictions to Lower Readmissions

GHS provides quality, cost-effective, and patient-focused care for some of the most at-need, complex patients. Through Grady Memorial Hospital six community health centers, and leading specialty centers, GHS is a vital and integral part of Atlanta and the region. GHS is committed to "becoming the leading public academic healthcare system in the United States. " Part of this commitment rests on driving quality outcomes for each individual patient.

To help support GHS's goal, the system initiated a project leveraging predictive analytics to reduce Congestive Heart Failure (CHF) patient readmissions. Predictive Insights for Integrated Networks. Helping Integrated Networks make Inpatient Predictions and Reduce Financial Waste Schedule Demo I'm an Integrated Delivery Network With the rise value-based models of care and reimbursement, many healthcare networks are forming Clinically Integrated Networks to drive improvements in patient care while reducing operating cost and redundancy.

Predictive Insights for Integrated Networks

As hospitals and physicians navigate the challenges of adapting to this new more accountable and coordinated reality, they also have to remain focused on current operations under a fee-for-service model. Reducing Readmissions using Cognitive Clinical Success Machine. Health First - Central Florida's largest fully integrated delivery network-combined the leading Cognitive Clinical Success Machine with a focused, comprehensive program to reduce readmissions.

Reducing Readmissions using Cognitive Clinical Success Machine

Within less than three months, the system realized more than $895,000 in savings and significantly reduced readmissions for some of the community's most vulnerable and at-risk patients. The Full Story: Health First serves Central Florida and is the region's only fully integrated delivery network. The system comprises four hospitals, multiple outpatient and wellness services, and a payor arm that includes commercial and Medicare health plans.

Career Opportunities. Client Stories and Testimonials. Our clients, ranging from small rural hospitals to integrated delivery networks that deliver care across hundreds of facilities, are using Jvion's predictive outputs to help their patients and their bottom line.

Client Stories and Testimonials

But you don't have to take our word for it. Check out what our clients are saying and the value they are realizing from Jvion's solutions. Patient-Centered Interventions Reducing Readmissions: How a Cognitive Clinical Success Machine is improving lives in Central Florida Health First - Central Florida's largest fully integrated delivery network-combined the leading Cognitive Clinical Success Machine with a focused, comprehensive program to reduce readmissions. Within less than three months, the system realized more than […] Read More. Prevent Avoidable ER Visits. Prevent Avoidable ER Visits Keep patients out of the ER and healthier Predicting ER visits to help reduce waste and the cost of care through 30-day ER, high-utilizer/"frequent flier" and inpatient predictions Three-quarters of Emergency Department (ER) visits do not require immediate attention or are preventable through outpatient care.

Prevent Avoidable ER Visits

Of these visits, 21-28% are made by what many in the industry call "frequent fliers:" those patients with manageable chronic conditions who regularly visit the ER. These individuals may visit the hospital 10 times a year and help explain why 80% of all healthcare costs are spent on just 20% of the population. While inappropriate use of the ER is a major source of waste within the healthcare system, the causes driving these visits aren’t necessarily the fault of the individual patients. Comprehensive Care for Joint Replacement Model (CJR)

Master Episode-based Payment Initiatives Drive the clinical actions that will reduce risk and cost across each care episode Mastering your CJR patient population means that your patients are healthier, you better allocate your resources, and that you avoid potential repayments to Medicare at the end of the model performance year.

Comprehensive Care for Joint Replacement Model (CJR)

As part of a drive toward innovation, the Centers for Medicare & Medicaid Services (CMS) continues to roll out episode-based payment initiatives focused on improving cardiac and orthopedic care. Patient and Risk Stratification. Drive Prevention and Health for Individuals in the Community Deliver the individualized interventions that will keep people healthy while they are still at home and in the community Going beyond simple community health indicators to deliver clinical insights driven by a patient phenotype approach that stratifies risk more accurately across a population It feels like community health solutions are everywhere, but we don't have a clear idea of what they should deliver or what to expect.

Patient and Risk Stratification

So when we set out to address the complicated issue of community health, we took a different approach. Predict Population Health. Career Opportunities. Delivering on Predictive Provider Analytics Experience. Jvion Leadership When it comes to driving innovation and value, having the right team is critical.

Delivering on Predictive Provider Analytics Experience

Jvion's leadership brings a passion for developing the tools and machines that leverage innovation to help providers care for their communities, patients, and organizations. Shantanu Nigam Chief Executive Officer See Bio + Shantanu Nigam Chief Executive Officer. Prevent Avoidable ER Visits. Patient Disease Prediction, Prevention, and Intervention. Hospital Acquired Condition Reduction Program – Topic Deep Dive Hospital Acquired Conditions (HACs) are conditions that are defined by section 5001(c) of the Deficit Reduction Act of 2005 that are "a) high cost or high volume or both, (b) result in the assignment of a case to a DRG that has a higher payment when present as a secondary diagnosis, and (c) could reasonably have been prevented through the application of evidence‑based guidelines.

Patient Disease Prediction, Prevention, and Intervention

" These common medical errors add up to more than $4.5 billion in additional spending each year. HAC scores are based on six quality measures that fall into two domains: To reduce the number of HAC events, CMS will penalize hospitals who have higher rates of patient complications than their peers. The total HAC score comprises the sum of a hospital's domain scores. Across FY 2016, 758 hospitals were subject to a one percent payment reduction applied to all Medicare discharges that fell between 10/1/2015 and 9/30/2016. . * CMS.gov; Predicting Readmissions and Financial Losses and Risk to Enable Healthcare Cost Reduction.

Stop a Patient's Readmission Account for holistic risk Delivering more than simple financial insights to predict areas of potential loss related to clinical and/or operational activities. This means that hospitals can proactively protect their revenues while improving the health of their patients Readmission events are not isolated. Comprehensive Care for Joint Replacement Model (CJR) Patient and Risk Stratification. Provider of Community Health Solutions and Real Time Patient Level Predictions. A Cognitive Clinical Success Machine with Speed and Specificity Learn More Jvion’s Story - Building a Machine that Matters We started Jvion with a mission—build a smart machine that can save lives. And every day we ask ourselves, “how can we use our machine to improve the health of individuals and the community?” For us, the value in what we do isn’t tied to the sophistication of our tool; it is tied to the lives that we save and the health outcomes that we improve.

At our heart, we are a cognitive science company. Discover What Works in Healthcare. Hospital Benchmarks and Comparison for Healthcare. Action Benchmarks and Comparisons Get to the root cause and fix it Identifying action-oriented benchmarks means that you can define clinical quality improvement goals using objective, accurate information that drills down to the individual patient and clinician. Our benchmark analysis gets to the root cause of variations between facilities and peer organizations so that hospitals can go from knowing there is a difference to understanding why the difference exists and what they can do about it. Cognitive Science for Patients and Providers. Clinical Cognitive Science Recommendations Speed to Value, Patient-Specific Actions A Tool Like No Other. Comprehensive Care for Joint Replacement Model (CJR)

Predict Your Highest-Risk Patients and Best Interventions. Predict Highest-risk Patient Interventions Save the lives of your sickest patients and while saving your resources Isolating a hospital's highest-risk patients means that you can avoid costly complications, drive better resource allocation, and protect your organization from revenue impacts Within every hospital patient population, there are a small percentage of patients who - because of their illness and condition - require the highest levels of care and resources.

These patients have at least one complex illness, multiple comorbidities, and possible psychosocial problems. While treating these individuals is an imperative, it often comes at a cost to the provider. Patient Disease Prediction, Prevention, and Intervention. Predictive Infection Control Prevention/Solution. Predictive Analytics Solutions for Health. Our suite of big-data enabled, predictive analytic software solutions help providers protect their revenues while improving patient health outcomes. We use advanced artificial intelligence combined with Clinical Patient Pod technology to deliver the most accurate, actionable, and scalable predictions tailored to the needs of the provider community. Comprehensive Care for Joint Replacement Model (CJR)

Patient and Risk Stratification. Jvion.kinja. Sepsis is a life-threatening situation that occurs when chemicals released into the bloodstream to fight the infection trigger inflammatory responses throughout the body causing organs to fail. Symptoms of Sepsis may include fever, rapid heart rate, elevated breathing rate, and confusion. Certain conditions such as pneumonia, abdominal or kidney infection, etc. may cause sepsis. Sepsis from Urinary tract infections, are especially likely if the patient has a urinary catheter to drain urine.

Predicting Readmissions and Financial Losses and Risk to Enable Healthcare Cost Reduction. Prevent Avoidable ER Visits. Preventing Hospital Readmissions and Improving Medicare Reimbursements by jvion. The goal of a hospital is to provide best facilities to patients and help them recover from their illness. In today’s healthcare scenario, it is imperative for hospitals to cut down their readmissions to avoid penalties. Hospitalization is necessary and appropriate in many cases. However, a considerable number of hospitalizations consist of patients returning to the hospital soon after their previous stay. Improving Healthcare Delivery through Clinical Predictive Analysis – Medium. Healthcare delivery methods are seeing major improvement in the current times. Jvion.kinja. Also known as “Frequent fliers”, ER high utilizers are patients that do not or have very limited access to a primary care physician or to a coordinated system of care.

Instead they frequently visit the emergency room looking for care. These patients often have multiple uncontrolled chronic conditions such as heart disease, asthma, and diabetes. Readmission Reduction for Congestive Heart Failure. Prevent Avoidable ER Visits. Jvion: Predictive Analytics Software for CJR Readmissions. Using Clinical Predictive Analytics as Predictors of Pressure Ulcers by jvion. Pressure Ulcer Overview: Pressure ulcers are complicated form of skin injuries also know as pressure sores. These are localized wounds to the underlying tissues that occur over bony areas due to pressure or friction.

It usually occurs due to pressure applied on soft tissue resulting in completely or partially obstructed blood flow to those tissues. Hospital Benchmarks and Comparison for Healthcare. Hospital Benchmarks and Comparison for Healthcare. Predictive Infection Control Prevention/Solution. Predictive Analytics Solutions for Health. Jvion: Predictive Analytics and Its Major Role in Healthcare. Clinical Predictions cannot be beneficial until they are transformed into actions. This applies to predictive analytics solutions that provide early notifications to doctors and medical staff about a specific patient. Healthcare facilities do not have to wait for symptoms to manifest before the treatment begins. Hospital Acquired Infection Prevention and Readmission Reduction by jvion.

Importance of Healthcare Acquired Infection Prevention by jvion. Jvion: An Insight into Infection Control and Prevention. Jvion: Pressure Ulcer Prevention in Hospitals - An Overview. Predicting Hospital Acquired Infections -The Growing Need Of The Hour – Jvion – Medium. Comprehensive Care for Joint Replacement Model (CJR) Jvion: Predictive Analytics – A Proven Approach for Readmission Reduction. Comprehensive Care for Joint Replacement Model – A Beneficial Way to Reduce CJR Readmissions: jvion. Patient Disease Prediction, Prevention, and Intervention. How Pressure Ulcer ReductionContributes To Better Outcomes – Jvion – Medium. Continuum Care: A Wide Set Of Continuous Services in the Healthcare – Medium.

Jvion: Hospital Acquired Condition Reduction Strategies with Big Data Analytics. Healthcare Predictive Analytics — Saves Lives by Delivering Personalized Care – Jvion – Medium. Comprehensive Care for Joint Replacement Model (CJR) Jvion: Predictive Analytics– A Revolutionary Approach to Systematic Healthcare. Jvion: Patient Predictive Data Warehouse – A Must-Have for Effective Functioning of Healthcare Systems. Predictive Analytics Solutions for Health. Patient and Risk Stratification. Predictive Analytics Solutions for Health. Healthcare Provider Fraud Waste and Abuse Solution. Predicting Readmissions and Financial Losses and Risk to Enable Healthcare Cost Reduction. Patient Disease Prediction, Prevention, and Intervention. Emerging Technologies in the regime of Infection Prevention — Jvion.

Healthcare Software Solutions- Add New Dimensions in the Domain of Healing: jvion. Significance of Disease Models in the Healthcare Industry — Jvion. Jvion: An overview of Hospital Acquired Condition Prevention. Jvion: Why Every Clinical Organization Needs Big Data Healthcare? The vital aspects of the prevention of Hospital Fraud Waste and Abuse — Jvion. Financial Waste Reduction: Reduction of Cost As Well As Healthcare Fraud: jvion. Predictive Infection Control Prevention/Solution. Predicting Readmissions and Financial Losses and Risk to Enable Healthcare Cost Reduction. Healthcare Provider Fraud Waste and Abuse Solution. Patient and Risk Stratification. Healthcare Provider Fraud Waste and Abuse Solution. Jvion: Benefits of Clinical Analytics in Healthcare. Infection Control Strategies in Healthcare Settings — Jvion. Jvion: Benefits of Evidence-based Metrics in Healthcare.

The Importance of Big Data Analytics in Healthcare : jvion. Jvion: Benefits of Big Data Analytics in Healthcare. Healthcare Provider Fraud Waste and Abuse Solution. Patient and Risk Stratification. Hospital Benchmarks and Comparison for Healthcare. Predictive Analytics – Reduced HACs and Readmissions: jvion. Jvion: Big Data in Healthcare – Reducing Health Care Costs. Jvion: The Increased Dependence Of Big Data In Hospitals. Jvion: How Is Big Data Instrumental In Improving Healthcare? Population Health and Predictive Analytics in Healthcare: jvion. Patient and Risk Stratification. Patient and Risk Stratification. Jvion: Healthcare Fraud Waste and Abuse- From Detection to Prevention. Jvion: Risk stratification tools – A helpful Approach to Assess Health Risks. Predict Your Highest-Risk Patients and Best Interventions. Healthcare Provider Fraud Waste and Abuse Solution.

Discover what works in healthcare. Provider of Population Health Solutions and Real Time Patient Level Predictions. Jvion: Hospital Acquired Infection Prevention: Better Healthcare Delivery. Jvion: Avoidable ER Visits Can Effectively Reduce The Cost of Treatment.