Innoveren door te leren Jaap Vink Worldwide Predictive Analytics Leader Public Sector & Healthcare IBM jaap.vink@nl.ibm.com
Healthcare providers are turning to analytics to deliver smarter outcomes What if Operations... could speed claims process and avoid fraudulent payments? Hospital administration... could reduce wait times for patients and reduce processing cost? Executive leaders had a clear view of business performance and were alerted to patient quality issues before they became a problem? Finance... could reduce operating costs, perform dynamic budgeting and forecasting, and improve overall profitability? Doctors and patients... could collaborate and track recovery with treatment compliance and disease management with quick alerts if patients miss or skip treatment? Hospitals could perform faster diagnoses and understand different treatment patterns to save and improve more lives? 2
Insights Derived from Analytics Operational Process Enhancements Reduce Wait Times Improve System Planning Accurately Forecast Resource Needs Clinical Outcome Improvements Identify High Risk Patients 3 Define Effective Treatment Plans Predict Future (EvidenceConditions & based Medicine) Treatment Public Health Gains Assess Health Trends Disease Surveillance Prevention Education
Healthcare Business Analytics United States Centerstone Research Institute What if you could apply data-driven modeling to improve complex human behavioral issues? A mental-health organization reinvents how healthcare providers make clinical decisions by using predictive modeling to create a customized treatment plan that resulted in improvements of 25 percent in patient compliance and 30 percent in revenue. The Opportunity What Makes It Smarter To improve the quality and effectiveness of behavioral healthcare, Centerstone Research Institute (CRI) commits itself to behavioral health research and technology-enabled patient care in support of clinics throughout the United States, in particular its sister organization, Centerstone, a leading behavioral healthcare services provider. When Centerstone was required to provide top-level patient care while meeting regulatory compliance and insurance requirements, CRI needed not only a way to provide its clinicians with accurate guidelines regarding the efficacy of various treatments for mental-health disorders, but also actionable information to improve business-management practices such as billing and patient services. In behavioral healthcare, the efficiency of a medical clinic translates into opportunities for improving patients lives. For this reason, CRI developed a decision-support solution based on predictive modeling to provide highly successful customized treatment plans based on the specific conditions and behaviors of the patient. The solution allows clinicians to capture patient data and apply results analyzed over time to improve the quality of diagnosis and treatment. By evaluating the effectiveness of past treatment patterns and using predictive modeling, clinicians can identify which treatment approach will likely yield the best result given an individual patient s profile. Intelligence from the solution helps them choose the optimal treatment plan while meeting regulatory and insurance requirements, resulting in higher rates of treatment-plan compliance. Clinicians can now improve patient care while strengthening the clinic s operations. Real Business Results Increases revenue by 30 percent through accurate billing Enhances treatment-plan compliance by 25 percent, signifying improved quality of care Boosts the time clinicians spend with patients by 25 percent by integrating administrative requirements into the analytics solution Improves patient accessibility to clinical care by 37 percent by reducing appointment wait time from 16 days to 10 days By becoming more data-driven, we ve strengthened our ability to adapt to the direction that we see behavioral healthcare going in and, more importantly, our ability to provide the best outcomes for our patients. Tom Doub, chief executive officer
Healthcare, Government Smarter Healthcare China District health bureau in China What if physicians could quickly treat patients with best-practice options and use technology to improve patient outcomes? This district health bureau in China uses a First-of-a-Kind analytics solution that predicts and recommends treatment options to physicians as they meet with patients and incorporates a collaborative portal solution to help ensure patient compliance with treatment. The Opportunity What Makes It Smarter This district health bureau, a pioneer in Chinese healthcare, knew that a critical component in the treatment of disease and chronic conditions such as diabetes is the use of and patient compliance with best medical practices. Although this kind of information existed in raw form in the electronic healthcare record (EHR) system, the bureau found it difficult to use and disseminate this information to physicians systematically. It also needed a way to help physicians and patients monitor and manage treatment compliance between visits. The bureau sought to mine and use existing patient, hospital and physician data to gain insight into ways to improve community health and promote more effective disease management programs. In treating common and chronic diseases, physicians may either rely totally on their own experience, which can result in substandard care, or spend many hours researching treatment options, taking away from their time with patients. This health bureau in China is helping resolve this dilemma for its physicians by providing them with a First-of-a-Kind solution to help create patient treatment plans. The solution first mines the region s vast storehouse of patient medical data and creates physician practice patterns that combine information about disease treatment with the doctor s own prescribing patterns. When a physician accesses a patient s EHR to create a treatment plan, he or she automatically taps into this solution, which then applies an algorithm to the physician practice patterns to predict and recommend the most appropriate lab tests, medications and treatment for the patient s condition. The solution also integrates with the EHR repository to allow patients to manage their own care through a patient portal, keeping their doctors informed and avoiding unnecessary hospitalizations. Real Business Results nhances quality of care by standardizing clinical services at the point of care and providing insight into best practices across the region ncreases physician productivity while reducing human error in prescribing lab tests and medication mproves patient self-management to expects bolster chronic control andby decrease The bureau better disease patient outcomes providing overall healthcare expenditures improved treatment recommendations for physicians and the collaborative care portal to help patients comply with doctors orders.
Healthcare Business Analytics and Optimization Italy Fondazione IRCCS Istituto Nazionale dei Tumori (INT) What if a cancer research center could create individualized cancer treatments that would reduce the number of unnecessary treatments while improving therapeutic outcomes? This Italian medical institute pioneers the use of advanced analytics to analyze insights from clinical data, combined with patient information, to create personalized treatment plans for its patients, helping it treat cancer and other diseases more effectively. The Opportunity What Makes it Smarter The fact that one-size-fits all cancer treatment may result in more than half of all patients receiving unnecessary treatment helps bring the goal of finding the right treatment plan for each patient into sharper focus. INT, a leading Italian cancer treatment and research center wanted to improve patient care by tailoring treatment approaches to specific individuals. The institute needed the ability to analyze past treatments and cases, and combine that information with the patient s personal statistics and disease profile, to create a fact-based treatment plan for each patient. In addition, being able to analyze overall outcome data would help the institute provide more cost-effective, efficient care for its patients. Until now, personalized treatments in cancer and other disease treatment have generally been based on clinical trial results, a doctor s subjective memory of past cases, and even intuition. Finally, true evidence-based, personalized medicine is being implemented at INT, where an in-depth analysis of a patient s personal makeup and disease profile, combined with insight gained from the analysis of past cases and clinical guidelines, enables doctors to provide an optimal treatment plan for each patient. The solution proactively shows the physician statistics on similar clinical cases, possible alternative treatments and predicted outcomes for each, allowing the doctor to make a truly informed decision. One insight from the solution showed that, statistically, physicians tend to give more aggressive medical therapy to women who are sick as opposed to men with the same problem. Knowing this, physicians can guard against such over-treatment, ensuring that patients receive only the medicine and procedures they need. Real Business Results voids unnecessary treatment (estimated to be up to 60% of all treatment) and delays in treatment delivery reates tailored and personalized treatments, increasing the chances of successful outcomes By providing our and physicians withby vital input on what worked mproves hospital performance, both clinical operational, providing a big picture best for patients with similar clinical characteristics, we can view of treatment delivery, helping streamline processes and lower costs help improve treatment effectiveness and the final patient outcome. -- Dr Marco A. Pierotti, Scientific Director at the Istituto Nazionale dei Tumori
Seton Healthcare Family http://www.youtube.com/watch?v=ble1gbs7s3m
Why IBM Watson for healthcare
Healthcare is dying of thirst in an ocean of data 90% of the world s data was created in the last two years 2X medical information is doubling every 45 years 80% of the world s data today is unstructured 75 new clinical trials start every day in the US alone 1 Trillion connected devices generate 2.5 quintillion bytes data / day $750B or 30 cents of every dollar spent on healthcare in the US is wasted
IBM Watson combines transformational technologies 2 Generates and 1 Understands natural language and human communication evaluates evidence-based hypothesis 3 Adapts and learns from user selections and responses
Brief History of IBM Watson IBM Research Project (2006 ) Jeopardy! Grand Challenge (Feb 2011) Watson for Healthcare (Aug 2011 ) Watson for Financial Services (Mar 2012 ) Watson Industry Solutions (2012 ) Cross-industry Applications Expansion Commercialization Demonstration R&D
Watson enables three classes of cognitive services Ask Leverage vast amounts of data Ask questions for greater insights Natural language inquiries e.g. - Next generation Chat Discover Find the rationale for given answers Prompt for inputs to yield improved responses Inspire considerations of new ideas e.g. - Next generation Search Discovery Decide Ingest and analyze domain sources, info models Generate evidence based decisions with confidence Learn with new outcomes and actions e.g. - Next generation Apps Probabilistic Apps
Imagine if... new insights from medical research find their way to patient treatment programs in months instead of years? That s exactly what a global leader in cancer care is doing today. Watson will be an invaluable resource for our physicians and will dramatically enhance the quality and effectiveness of medical care. -Dr Sam Nussbaum, Chief Medical Officer, WellPoint
Imagine if... the 1.5M people diagnosed with cancer in the US last year had a better prognosis? That s exactly what a major health plan provider is working to accomplish. Watson can aggregate information and give probabilities that will enable (experts) to zero in on the most likely diagnosis. -Dr. Steven Nissen, Cleveland Clinic
IBM Oncology Diagnosis and Treatment Advisor Demonstration http://www.youtube.com/watch?v=8lgj0h_jap8
Dank!!! Jaap Vink jaap.vink@nl.ibm.com