Steve Mills IBM Sr. VP Indicates Watson Leverages Analytics

by Susan Eustis

Steve Mills IBM Sr. VP has indicated that IBM Watson leverages analytics. Mills describes the aim of Watson as an effort to provide a computer that can take large quantities of information ingested as data and create intelligence from all that data. It is a computer that is able to figure out what is important in a vast compilation of information.

IBM Watson has been filled with information from medical textbooks, from research, and from patient records. This information is often characterized by ambiguities. The miracle is that this cognitive computer can find meanings even though it is filled with a huge amount of information. Applying Watson to healthcare markets is being done, Watson in its current form can be used to assist a doctor in finding a diagnosis and a treatment. In healthcare, a patient defines sometimes vague symptoms and a doctor has to consult data, experience and literature to figure out the cause. Tests are ordered. It’s complex. Watson can help.

As Steve Mills describes the situation, IBM Watson’s aim is to create a diagnosis pathway. The aim is to provide a compliment to what the doctor or clinician knows, to improve the quality and cost of healthcare delivery. Watson can assemble more information than the doctor can without Watson, positing the possibility of letting the clinician achieve more accuracy.

According to Steve Mills, the value of Watson for healthcare is that it provides more information on a particular topic than the healthcare professional can absorb by reading. No clinician can read all the relevant data to achieve quick diagnosis without Watson as well as that clinician can with Watson.

Steven A. Mills is Senior Vice President and Group Executive – Software & Systems at IBM.

He said that physicians will need Watson as an assistant. Watson the cognitive computer is able to include data from Web sites, statistics, the latest research, and information from the medical textbooks to understand what is going on in any particular patient situation. Watson is able to take information from physicians, feed it into the existing systems, massage the information, iterate it, and serve as an intelligent adviser to a clinician.

According to Steve Mills, the value of Watson is that it can hone in on a diagnosis in an accurate manner, and it can accept qualifying information permitting it to look for more factors. Through iteration Watson can get better and better.

US Congress House Energy and Commerce Committee Looks at IBM Watson for Healthcare

by Susan Eustis

IBM Watson’s computing power is accessible to authorized users through the cloud where it was on display to the US Congress House Energy and Commerce Committee. IBM had a team at Congress to show off the ability of Watson to facilitate better care and to potentially lower the costs of healthcare delivery.

The IBM Watson team has been collaborating with Memorial Sloan-Kettering Cancer Center in New York City and health-care insurance provider Well Point. Members of the IBN team were in Washington to showcase the supercomputer’s health-care related features. The advantage provided by the supercomputer IBM Watson is that the team has been able to use the device as a cognitive computer that is able to learn medical facts. IBM has worked to teach the Watson cognitive computing computer everything there is to know in the medical world.

Watson has the ability to ingest patients’ medical information and synthesize thousands of medical journals. Watson has been able to ingest medical reference materials along with patient preferences. The computer has been trained to recommend treatment options.

IBM representatives emphasized to the attending members of Congress that Watson does not offer instructions to doctors or diagnose patients on its own, it is poised to serve as an intelligent assistant to the physician. When loaded with patient information, and combining a broad range of medical knowledge, the Watson computer is more knowledgeable about alternatives than the human, it is not able to make decisions in an intelligent manner, that is left to the physician.

The advantage of IBM Watson in this context is that it can keep up with the latest medical knowledge better than the physician can, giving the chance for more accurate diagnoses quicker. Congress was appraised of how the technology is poised to improve healthcare delivery outcomes. There is a need for government to encourage clinicians to embrace continued technological innovation in health care.

Healthcare Decision Support Market Rapidly Expanding to Reach $259 billion by 2019

by Susan Eustis

A new study from WinterGreen Research on Healthcare Decision Support Markets predicts that rapidly expanding markets will reach $259 billion by 2019.

This forecast is predicated on the assumption that IBM makes available the Watson cognitive computing capability worldwide as a SaaS tool immediately to consumers and physicians. As people with smart phones learn that for five cents they can access solid medical opinions relating to particular symptoms, markets are expected to take hold. This does not turn the consumer into a healthcare provider, but it gives the consumer more power in dealing with the physician and the provider. It gives the physician a valuable, knowledgeable assistant.

Just as the mother that took her child to the doctor this week in February 2013, and said, “I think it is an appendicitis” and the doctor said “No, it is influenza.”, after the appendix broke and threatened the life of the child, the mother was angry, the physician was apologetic. With Watson at her side, the mother would have had more credible authority with the doctor.

This scenario really happened to an esteemed marketing manager in Minnesota, USA this week in February 2013. Watson has a lot to offer the consumer, without making the consumer a doctor; it brings more information and authority to the patient – physician interaction.

So also, the physicians gain a valuable assistant at their side when they can access Watson for $60 per physician per month. This cost represents two cents per patient encounter, hardly a blip on the bill to the patient, but lends incredible value to the patient – physician interaction, bringing the latest research to bear on the physician diagnostic and therapeutic decision making process.

Watson can be loaded with the latest research results. No physician can track all the latest medical research; there are intense volumes of it. Any one physician can only hope to read a small portion of what is published in his or her own field. Watson knows it all. It is available to share what it knows at a small fee once IBM turns Watson loose. Only consumer demand and media attention will convince IBM to turn it loose.

Watson will be imperfect at first but will continue to improve. Cognitive systems can learn.

IBM, Memorial Sloan-Kettering Cancer Center Interactive Care Insights for Oncology

by Susan Eustis

IBM and Memorial Sloan-Kettering introduced the first commercially based products based on Watson next generation innovative computing system. Products are innovations that represent a breakthrough. Medical professionals can apply advances in analytics and natural language processing to individual patient diagnostic and treatment situations. IBM and Memorial Sloan-Kettering announcement is surely the most exciting product announcement of the year and possibly of the decade.

IBM, Memorial Sloan-Kettering Cancer Center Interactive Care Insights for Oncology offers next-generation cognitive computing advances. Medical expertise has finally reached the forefront of automated process. As Watson brings next-generation cognitive computing advances to healthcare services quantum improvements in care delivery become possible.

IBM Watson moves cancer treatment advances to the forefront of worldwide availability. Much remains to be done. The integration of systems with clinical facility workflow remains to evolve. Clinicians receive the information easily and accept Watson as a very knowledgeable assistant. Watson offers recognized value.

IBM big data initiatives are combined with the Memorial Sloan-Kettering clinical knowledge base. Genomic data is used to create evidence based decision support systems. The products include the Interactive Care Insights for Oncology, powered by Watson, in collaboration with IBM, Memorial Sloan-Kettering.

Watson offers Interactive Care Insights for Oncology. The cognitive systems use insights gleaned from the deep experience of Memorial Sloan-Kettering clinicians. Watson is positioned to permit clinicians to provide individualized treatment.

More options are based on patient medical information. IBM Watson in combination with Memorial Sloan-Kettering Cancer Center has information that represents the synthesis of a vast array of updated and vetted treatment. It is able to compute individual treatment guidelines. This represents a revolution in cancer treatment care and presages a major revolution in all healthcare treatment and diagnosis.

Because Watson is able to leverage published research it can stay more current than any clinician or group of clinicians can.

Watson-is a cognitive computing system. The aim of Watson is to streamline the healthcare delivery process. Watson supports the healthcare decision making process. The system has the ability to ensure evidence-based care is provided.

Watson has ingested 600,000+ pieces of medical evidence, two million pages of text from 42 medical journals, and the patient results from oncology research clinical trials. Watson is in the process of sifting through 1.5 million patient records representing decades of cancer treatment history. Medical records and patient outcomes are being fed into Watson.

This information treasure provides the ability to provide physicians with evidence based treatment options. Opinions can be provided seconds.

IBM and WellPoint Announce Interactive Care Guide

by Susan Eustis

IBM and WellPoint have announced an Interactive Care Guide and Interactive Care Reviewer product. This is surely the most exciting product announcement of the year and possibly of the decade. WellPoint announced that its Interactive Care Guide powered by IBM Watson is designed for automating access to the most up to date patient healthcare information system.

IBM Watson supports an individualized information query system. Healthcare facility utilization management can be achieved in collaboration with WellPoint and IBM using the Interactive Care Guide. WellPoint introduced the first commercially based products based on Watson. These innovations represent a breakthrough in how medical professionals can apply advances in analytics and natural language processing.

IBM has applied big data systems to healthcare diagnosis and treatment. IBM has combined analytics software systems with a natural language query system. The result is the availability of a clinical knowledge base that can be queried by nontechnical people. The system is able to leverage information about the latest medical research and genomic data. All the information in the system is used to create evidence based decision support systems.

IBM is supporting a WellPoint initiative. The initiative relates to an interactive care guide and interactive care reviewer system. IBM Watson delivers the ability to review processes between a patients’ physician and their health plan. Watson-based cognitive computing system is anticipated to streamline the care delivery decision approval process. The system has the potential of speeding approvals from utilization management professionals, reducing waste, and helping ensure evidence-based care is provided.

Watson has ingested 600,000+ pieces of medical evidence, two million pages of text from 42 medical journals, and the patient results from oncology research clinical trials. Watson is in the process of sifting through 1.5 million patient records representing decades of cancer treatment history. Medical records and patient outcomes are being fed into Watson.

This information treasure provides the ability to provide physicians with evidence based treatment options. Opinions can be provided seconds.

Teaching (and Unteaching) Watson Vernacular Language

by Susan Eustis

IBM natural language computer Watson reportedly, on Slashdot, was getting a new lesson in natural language with the help of the Urban Dictionary. In an effort to get Watson to sound more like a real human IBM introduced the Urban Dictionary to the computer. Like we learned from Star Trek so many years ago, after teaching a computer the entire dictionary, the computer has difficulty distinguishing regular conversation and communication from swearing. Or was that about getting dressed, did the computer in Star Trek have to learn to wear clothes?

Imagine Watson learning swear words from the Urban Dictionary then using them with the doctors. Did it really use the word ‘bullshit’ in an answer to a researcher’s question? How did the physician answer that? Natural language is natural language after all. Watson has learned to speak up for himself. Itseilf? Herself? Oh well, as the natural language computing era expands, these types of encounters will need to be worked out, just as they are in real life with communication between real people.

Dehydration: U.S. National Library of Medicine

by Susan Eustis
U.S. National Library of Medicine: Dehydration means the body does not have as much water and fluids as it should. Dehydration can be severe based on how much of the body’s fluid is lost or not replenished. When it is severe, dehydration is a life-threatening emergency. Dehydration can be caused by losing too much fluid, for example from excessive vomiting. Dehydration needs to be treated.

According to the same source, “Intravenous fluids and a hospital stay may be needed for moderate to severe dehydration. The health care provider will try to identify and then treat the cause of the dehydration.” I know for sure that had I been in the situation of loosing a lot of fluids, my primary care physician would have had me in the emergency room immediately and that my chosen healthcare facility Lahey Clinic would have had an IV in me before I got to the point of a concussion or to the point of a blood clot.

The question this blog asks is “How many clinicians would have let the erstwhile US Secretary of State get to the point of dehydration so that her condition became an emergency, or would they have intervened earlier? Is this a statement about healthcare delivery in the US? Is it not a sign that we are capable of better healthcare delivery?

We write a lot about IBM Watson and automation of healthcare delivery here at WinterGreen Research. This blog is set to evolve so that we can gather opinions through voting, we can access and comment on newsworthy events and gather the opinions of the experts and report them through a dashboard.

Change In Healthcare Delivery: Need for Automation of Wellness Solutions

by Susan Eustis

Changes in the US healthcare delivery and reimbursement systems mean that doctors and hospitals will be reimbursed for making assigned groups of patients healthier. Reimbursement drives healthcare delivery. A change in reimbursement will mean rapid change in the healthcare delivery model. This change in the model represents coming change in the overall healthcare delivery systems.

As wellness centers replace traditional doctor patient relationships, there is going to be need for a lot of change. Nutrition and exercise make healthier people. This has not been the purview of hospitals and doctors. There is an inevitable move to wellness if the reimbursement moves to wellness. In order for doctors and hospitals to get the highest reimbursement, there is need for a lot of patient adoption of nutritional and exercise best practice. This is the best way for healthier patient groups to evolve.

This change will not be easy. Hospitals and physician groups are pretty set in their ways. They are often arrogant, mitigating against a culture of change. In some sense the arrogance is well founded because the doctors are the experts and deserve to be followed and not challenged. The doctor’s job is to deliver advice that is right and that needs to be accepted, not questioned. But, the doctors are arrogant. One nice doctor when I told him about the coming IBM Watson said, “Where’s the swagger?”

In any case, the difficulties of implementing massive change in the healthcare delivery system are massive. To be able to move in whatever direction is required at the moment has not been a hallmark of the healthcare delivery system. The doctors and hospitals are the very last group to embrace and adopt automated process, even the military has been considerably faster.

When that change in reimbursement comes in, which it is starting to do already, when the reimbursement is really tied to wellness and how well the patients in a group are faring, the first thing the administrators are going to say is, (to quote Tom Hanks in another situation) ‘We have a disaster on our hands.’ Now is the time to say very calmly and quietly respond, ‘Let us see what we can do about wellness, lets take care of this, don’t worry.’ The issue is to address the solutions that will maximize reimbursement for the healthcare providers, whatever they are. Reimbursement drives healthcare. If the reimbursement is tied to wellness, things will change in the care delivery solutions provision.

Wellness using nutrition and exercise is part of the solution. Then there are other aspects, introducing efficiency into the care delivery system. As part of solution to making groups of patients more well, there may be a strategy of matching patients with doctors who are specialists in treating particular configurations of conditions presented by particular patients.

Just as you want a surgeon who is specialized, who operates on a particular part of the body every day instead of a surgeon who only does that once a year, so also, it is necessary to have specialists treat the patients conditions they are most familiar with. Herein lies the best use of tele-medicine and computers like IBM Watson. There is a matching service so that the regular doctor immediately connects, via video with the appropriate physician for care delivery and that care is effected immediately and by the specialist who is more appropriate.

So this wellness task is somewhat like a dating service, matching patients and specialists where the regular doctor (or his nurse) has a physical presence with the patient and the specialist is available via video.

IBM Watson holds some of the keys for implementing some of this health care delivery system model change. IBM Watson is a computer that is likely to be available in the cloud as illustrated in other blogs in the series. A recent meeting in Waltham MA IBM Campfire series to doctors illustrated the value of Watson to a regular physician practice. Watson is an analytics and natural language computer. It is supported by a lot of other IBM technology, in particular IBM WebSphere systems that provide application server and mobile application development capability. These IBM WebSphere mobile systems can be used to develop apps. Apps are what the hospitals and physician practices are going to use to roll out new patient wellness programs.

The aspect of the wellness task is to switch hospitals and physicians to providing wellness is thus dependent on wide adoption of smart phones and tablets which is already well underway for both patients and clinicians. The real need is to do wellness programs now. It should be open systems approach, people like their own nutritional counseling and their own exercise programs, the point is that they do them, not that the healthcare delivery system dictate what is being done. The point is that some program be adopted and monitored for each patient. (That folks is all of us.) There are a lot of people who provide wellness better than the hospitals and doctors do, yet it is the doctors and hospitals that get reimbursed for wellness so there is a major disconnect here. An open systems approach will probably work best.

The issue is to find and use automation that matches patients to solutions for achieving wellness. Apps work here. Systems have to be able to quickly and with lightening speed go through a file that says who is the best person to take care of this and to make the match. Tele-medicine and tele-health promise to be a part of these solutions.

The problem is to match skill sets with the tasks at hand. This is true for exercise and nutritional programs, and it is true for finding the most efficient and effective treatment for different patient illnesses.

Craig Rhinehart Describes How IBM Has Delivered a New Set of Advanced Analytics

Craig Rhinehart Describes how IBM has delivered a new set of advanced analytics and case management solutions For Healthcare Organizations at IBM Waltham Campfire Meeting
By Susan Eustis
There is a lot of interest in analyzing similar patient conditions to identify and predict patient outcomes and identify high risk patients early. The interest is in using health care data to help improve the economics of care delivery and improve the quality of care at the same time Craig Rhinehart of IBM talked about how new IBM solutions look historically at a particular patient record while projecting forward outcomes possibilities under various scenariosaugmenting a physicians knowledge and helping them make better decisions around treatment options.
IBM has also developed software solutions that help predict hospital readmissions. Fluid retention was found to be a significant factor that was being overlooked as a predictor in one example at Seton Healthcare in Texas. IBM has found that the use of analytics to determine the effects of patient condition, ankle swelling, low sodium, lack of emotional support can improve patient outcomes by supporting getting patients into an intervention program before symptoms get too bad.
As patient information is analyzed, as the systems are able to incorporate evidence from the data . Risk factors for hospitalization and re-hospitalization can be determined and reactive or proactive care can be initiated. Re-hospitalization is an issue for Medicare. Re-hospitalization of a patient that has lack of getting counseling is pretty certain in some cases and the telemedicine systems provide a relatively inexpensive way to deal with that problem and work pretty well. So IBM systems are positioned to promote better care delivery. Chronic diseases such as diabetes and congestive heart failure (CHF) are the major cost drivers in the healthcare systemand are areas where early interventions can make a big difference to outcomes and cost. The IBM systems are positioned to address wringing out costs from 78% of the total costs of the US healthcare delivery system.
Craig Rhinehart is Director, ECM Strategy and Market Development in the IBM Software Solutions Group. As a manager of strategy for enterprise content management at IBM Craig gets to move IBM into the new healthcare solutions arena based on advanced analytics from IBM’s research labs, running on a platform that shares components with IBM’s Watson supercomputer. The aim of the IBM healthcare solutions is to permit the physician to have better information needed to treat patients, and to augment his understanding with information extracted from the mass of unused data that is built up in the healthcare system over time. The availability of that information as that physician is in front of the patient presents an opportunity to vastly improve healthcare delivery.
The further aim is to avoid unnecessary hospitalizations and avoid waste using analytics to create unique risk profiles for each patient, to support providing quality patient care. The aim is to let physicians provide care needed at less cost, increasing opportunities for early intervention in a primary care setting, avoiding cost from expensive ER and acute settings. Early intervention in care delivery for patients with chronic conditions becomes one of the hallmarks of quality care management.
Patient care planning becomes a team effort supported by the IBM systems analytics, and a core part of any modern healthcare system. Instead of reactive spending, the modern ehealthcare organization needs to step up and improve the overall quality of healthcare provided. Craig talked about the shift away from the fee for service model to one where the provider is paid for performance. IBM has built computer systems that support this latter payment model.
In 2012, there are 4,975 U.S. Community hospitals, the admissions in community hospitals are on a trend for 36.5 million and the expenses on a trend for $688.9 billion by the end of 2012. The average length of stay is 6.7 days. There are issues around seeking to decrease hospital admissions, around seeking to decrease hospital readmissions, and around improving the quality of care. For example, of the more than 3,300 deaths due to asthma each year in the US, many are deemed avoidable by experts. Delivering the right care at the right time in the right setting is the core mission of hospitals across the country.
Shifting the care of patients with chronic diseases to a primary care setting, away from the hospital, depends partly on shifting reimbursement rules for payment so that there is incentive in the hospital system to improve care delivery and decrease the readmission rates. Managing care depends on creating different cost models for care. Coordination of best practice communication with physician delivery of care is necessary to improve the quality of care and to lower the cost for care. IBM has positioned to support that change in healthcare delivery in the US and worldwide.
This was the message from the IBM Director Craig Rhinehart. WinterGreen Research heartily endorses this message and sees that there is a lot of work to be done to reeducate the physician population to understand, improve, and adopt best practice of care delivery as newly developed from the IBM natural language analytics care delivery support systems.

IBM Dan Pelino Talks About the Importance of Good Healthcare, Nutrition, and Exercise

by Susan Eustis

Healthcare policy is influenced by the fact that healthcare delivery is an important part of the economy and everyone’s daily life. Dan Pelino, General Manager, Global Healthcare and Life Sciences, IBM has a world view of healthcare delivery, how it impacts cities, communities and regions which have very different health care requirements and outcomes. Local business, political and academic leaders can come together with health providers to achieve a more cost-effective, high-quality care system. Access is only good if systems support teams doctors, nurses and care givers to improve healthcare delivery locally according to a recent blog by Dan.

Healthcare requires more than building a top-flight hospital. Dan talks about the necessity to focus on the broad local health picture. Working together communities can create integrated delivery systems, that support a focus on nutrition and wellness. Cities can plan land use to make it easier for people to walk to shops and transit points. Communities can build bike lanes that encourage exercise, as well as impacting citizen travel and congestion. Educators can help students make healthy food choices and enjoy physical activity. All this in the context of the new IBM healthcare computer Watson which offers decision support to clinicians and insurance companies.