Saturday, November 5, 2011

SIRI (Steve is Really Inside)















Two years ago I wrote about the pivotal role that Steve Jobs might play in healthcare. Despite his passing, that role will nevertheless emerge with medical applications using SIRI on the iPhone.

Voice-driven decision support is the future of medicine. People speak at 300-500 words per minute (5-10 x faster than typing). In 10-15 years, doctors will be amazed that we contemplated the practice of medicine without a voice-driven SIRI.

The genius of Steve will live on. Thank you.





Thursday, February 25, 2010


www.Anvita.Info


...is a computable semantic wiki. This I believe represents a new way of approaching medical knowledge. This alpha wiki is really a database that appears to be a wiki (human readable) but is also computable (unlike Wikipedia). So, for example, one cannot pose a question of Wikipedia like "How many U.S. congress members are female?" This is despite the fact that every female congresswoman has a Wikipedia entry that states she is female. However, a semantic wiki could answer this kind of arbitrary query.

The goal of Anvita.info is to create a semantic wiki so that clinical decision support systems can pose questions of the entire wiki and receive answers in realtime. This is analogous to a search engine, excepting that actual computed answers are returned, versus links to URLs for additional research. Wolfram Alpha is a great example of a company (Wolfram Research, which I have greatly admired since 1991) that is working to do this in the general consumer space. This is an enormous undertaking: however, at Anvita we propose to do it at a very deep level within a single domain (medical knowledge). The end results could be interesting.

Ahmed Ghouri M.D.

Tuesday, December 23, 2008

Anvita on the iPhone Released today!




An emerging diagnosis and management Wiki for students and professionals (must have a Safari browser, on the iPhone/iTouch, PC, or Macintosh). Try it out at:


Created by the physicians at Anvita Health (formerly known as SafeMed) and free.


Saturday, November 8, 2008

A New Anatomy for Health

An International Problem

The affordability of healthcare in an era of explosive technological innovation compounded by exhaustion of financial resources is arguably the No. 1 problem of the industrialized world. Presently, greatly beneficial care is under-delivered, while unneccessary or harmful care is over-delivered, leading to the inevitable unaffordability of all care. Verily, it is likely that modern societies are facing a healthcare financing bubble on a global basis, due to the inability to clearly distinguish between such decisions.

A New Approach

The optimal allocation of resources for the greatest benefit to a population requires a completely new approach. Innovative polices like the CMS (U.S. Medicare + Medicaid) Coverage with Evidence Development are practically unscalable because requisite information technology tools are deployed on a case-by-case basis, and re-invented each time. Indeed, healthcare IT today is a set of highly fragmented applications which do not contribute to the topology of a complex healthcare system, where micro decisions at the patient-physician level are directly connected to a macro view of the entire system as a whole.

The present approach to healthcare financing, from a business intelligence perspective, is computationally intractable and leads to arbitrary coverage and health policies in the absence of data that cannot possibly be obtained in the time frame it is needed. Meanwhile, technological developments march inexorably forward, creating a culture of endless demand for lifesaving as well as utterly futile treatments, without clear distinction, at esoteric costs. In contrast to the disorganization of healthcare, modern Internet search engines have a macro view of billions of pages of data contained in the World Wide Web, and update this world-view interpretation on a continuous (hourly) basis. Importantly, none of the millions of individual website creators designed their own content to be interpreted by a global system. Regardless, an individual web user can rapidly search and find crucial information extremely rapidly (essentially in real-time) across a disparate universe of massively heterogeneous datasets, ranging from an airline boarding pass to streaming video. Additionally, virtually all users, from public officials to grade school students to astronauts, tap into the same engine.

A macro view of healthcare, continually updated by Point-of-Care decisions now technologically exists and can be inexpensively deployed. Its availability would have immediate and profound implications on allocation of resources, patient safety, and knowledge discovery. We call this solution a Medical Operating System, to distinguish it from applications which are stakeholder-specific, microview tools.



Knowledge and Learning Architecture

In this Operating System there is realtime coupling of each of the following attributes, creating a singularly powerful framework:

(1) An open, nonproprietary thesaurus of terms which utilizes and leverages all existing standards, but serves to bridge heterogeneous ones that might never harmonize due to political or financial reasons,

(2) an open rules-authoring environment where a medical societies can publish computable guidelines related to clinical care,

(3) the same rules-authoring environment where a payer organization can publish computable guidelines for financial coverage (e.g., step therapy or prior-authorization),

(3) the same rules-authoring environment where regulatory agencies can create computable quality performance measures, that have a zero net-cost to implement, and require no new engineering effort when requirements change,

(4) a real-time rules execution engine that is publicly available, so that any patient, caregiver, or physician can obtain personalized health guidance at the Point of Care based upon the collective knowledge of the entire system at that moment in time, intersected with patient-specific data,

(5) a macroscopic outcomes transparency engine that runs continuously to measure comparative efficacy of treatments, and is made available to the public in a transparent way when difficult choices are required,

(6) symmetrical consumer-level advice to patients based on the same algorithms utilized at the POC, to allow for shared decision making on risk, benefit, and costs, and

(7) a service-oriented architecture (SOA) that can be delivered to virtually any device, application, or end-user using a simple XML protocol.

Multiple synergistic applications can be built on top of this Operating System, in distinction to an ever-increasing number of single-purpose applications that are non-additive today. Most crucially, a Medical Operating System can be incrementally adopted without wholesale replacement of legacy systems, using commodity technology and a webservices API.

Additionallly, the power of the system grows exponentially with the number of users, in accordance with Metcalfe's law. A Medical Operating System would also foster competition for healthcare outcomes (rather than care volume) among virtually every manufacturer and service provider, but be transparent and allow for unambiguous comparisons that are largely missing today. The lack of a transparent knowledge infrastructure has created a culture of distrust among stakeholders - and frank paralysis of desperately needed innovation to avert financial crises - because society has few consistently meaningful yardsticks to prioritize decisions beyond the political pressures of the moment.

Healthcare's GPS - An Analogy

The following table illustrates how just-in-time decision making is transformed using a Medical Operating System, similar to a Global Positioning System:

GPS Characteristic/Medical Operating System Analogue

Present Location
(Latitude, Longitude)
Patient Longitudinal Health Record
(Age, Gender, Weight, Procedures, Medications, Diagnoses, Lab Results)

Destination
(Address)
Effective Treatment Options for Problem X
Patient Quality of Life Preferences

Routes
(Maps and Traffic)
Marginal Costs and Efficacy of Competing Therapies
Realtime Financial Approval

Satellities
(Topology)
Quantitative World View of Like-Patients in Realtime
Continuously Updated and Refined

Implications

With a dedicated staff of 270 members and 2000 outside experts, U.K. NICE has been able to publish an average of 17.5 technology assessments per year during the past decade, while the number of new therapeutic protocols introduced during this time period was in the thousands. While insightful and commendable first-generation approaches such as NICE technology appraisals (and similar models in the U.S. such as Coverage with Evidence Development, and Congressional Bill S.3408) are very important, these strategies are not scalable or generalizable without tools that provide continuous, automated world-views of treatment value.

A world view also serves to make quantifiable, instead of arbitrary, choices on thresholds for coverage using a Quality-Adjusted Life Year (QALY) cost model. Instead of choosing arbitrary values (e.g., a $50,000 QALY threshold for coverage of a handful of formally-reviewed treatments), it is possible to determine, given a specific amount of total healthcare capital, what the consequences are, for the macro system in terms of outcomes, as the QALY threshold is changed for any treatment.

This "What-If" analysis, fundamental to virtually every traditional business, is not done today in healthcare because there is no world view system in place that can interpret the semantics of extraordinarily complex data. However, the same could have been said of the billions of terminologically inconsistent and unstructured webpages in the late 1990s.

Importantly, the tools to create this world view now exist, and can be inexpensively deployed, making public and private choices fundamentally understandable, transparent, and defensible. Only leadership and will are required to move forward.

Sunday, April 6, 2008

Why The Future of Medicine
Needs Steve Jobs


The following is a prediction of what the future of medicine could look like, and it is loosely based on the indispensable diagnostic tool (the famous "Tricoder") used by the most famous doctor of the 23rd century. But could it be a reality within 5 years? The answer is surprising: Yes! It's mostly about skill, leadership and will, a well-defined technical execution path, and a total faith in the vision.

The most obvious extension of this question is: Could the iPhone make it happen? While many of us in medicine wish the iPhone to be everything it promised, the present software SDKs will not get us there. Why?

The iPhone is a masterpiece of connectivity, simplicity, and communication. But at the end of the day its a hardware platform to store information, talk, run software applications, and connect to the Internet. As incredible as it sounds, this is trivial compared to what it could be.

The inflection point that would make an iPhone successor indispensable to healthcare would be seamless integration of medically-valuable hardware into its very core (not outsourced expansion slots), combined with just-in-time patient data. And this integration cannot be farmed out to 3rd parties - innovative visionaries don't do expansion slots.

I am not sure when it will happen, but I am pretty sure only someone like Steve Jobs can pull it off. The reason?

The Future of Healthcare is Human-Machine Interaction

What doctors of the next century will need is not an Internet-enabled phone, but a specialized device for human-machine interaction that seamlessly works with single-purpose applications and hardware designed for healthcare (see visual examples below).

Consider the fluid interoperability of the iPod with iTunes, the Web, the MacOS, all the way to a finger-touch navigation wheel. It is an example of critical coupling. The mouse, when combined with a graphical operating system, is another. In the entertainment domain, the Wii controller embodies this principle, too. The Wii is far slower, has grossly inferior graphics, and much less computing power than its competitors, yet it is revolutionary because of its 3-Dimensional controller input. My 3 year old daughter was participating in the Olympics within minutes of learning how to use it.

Such fundamental breakthroughs happen once every 25 years or so. Steve Jobs, better than anyone else, gets this, but has not yet applied these principles to medicine. He could.

Doctors of the future will need instant bedside diagnosis tools, and instant access to a patient's consolidated medical information (e.g., Google Health's PHR), regardless of what facility they are in, to analyze how everything triangulates just-in-time.

It's not just computing power and memory that’s shrinking, but mechanical devices, and mechano-electrical signal transduction. For example, within a year LCD projectors will fit into a 1” cube. This overall convergence leads to astounding implications for medicine, if cleverly exploited. It means that Dr. McCoy’s Tricorder is actually possible – if someone can combine the right medical hardware, with the right software, with the right human interface design, with the right computing platform. Let's assume this device exists, and call it the iDoc. What could it do?

iDoc Would Transform Decision Making

The first thing doctors do when called to an emergency is assess the ABCs – Airway, Breathing, and Circulation, because the human brain can only survive 5-6 minutes without oxygen and perfusion. Almost all the tools we need to make a diagnosis are not portable, with the exception of the stethoscope – which is why it is a worldwide standard of care. It’s simple to use, lightweight, and fits in your whitecoat pocket. It does not do that much beyond analog sound transmission, but like an abacus, it was better than paper and therefore useful for centuries.

Suppose that instead of a stethoscope, there was the iDoc. The iDoc would include the following Basic, Medically Foundational things, illustrated in the following clinical examples. Note that all of the technologies depicted in these scenarios exist right now – they have just not been minaturized yet. That is, there is no new basic science required to make these happen, only a technical execution path and vision.

EXAMPLE ONE.

I am called to see a patient who is breathing rapidly, unresponsive, and agitated. I suspect the patient is not receiving enough oxygen. Within seconds of arrival, I place a sticker on the patient’s fingernail which connects to my iDoc. A light shines through the fingernail to measure the patient’s oxygen level in her blood. It is critically low (69%) and I immediately begin preparations to place her on a mechanical respirator and administer pure oxygen.


Pulse oximeters to measure patient oxygenation exist today, but weigh about 2-3 lbs and therefore are not universally portable to doctors. An oximeter is an optical device that measures blood oxygen level using a light that is shined through a vascular bed (fingernail, earlobe, or toe on an infant) and is presently the standard of care for surgery, emergencies, and intensive care. It is rarely utilized the first time a patient is seen, because it’s too troublesome to carry the device with you everywhere you go. iDoc would change that.

EXAMPLE TWO.

I am requested to see a patient with distended neck veins, edema of the legs, and rapidly deteriorating mental status. I suspect the heart is not pumping blood adequately to the brain. I place a minaturized Doppler transducer on my iDoc over the patient’s chest and image the heart in realtime. I visualize regurgitation of a leaky heart valve (the blue jet below), and call a cardiac surgeon for emergency surgery to repair it. In such situations, minutes to hours to the diagnosis matter.



A portable device like this would make analog (physical) stethoscopes obsolete, because I could image organs in realtime, as well as listen to them. Today doctors spend years trying to remember the perplexing, barely audible permutations of heart sounds. Realtime digital analysis of acoustic signals would fundamentally change this. Bedside ultrasounds are presently about the size of a laptop, but again that’s too heavy for doctors to carry around, so we simply don’t do it. The iDoc would change that.

EXAMPLE THREE.

I am called to the Emergency Room to see a 7 year old child with aversion to light and severe neck pain. He is very febrile. I perform a lumbar puncture and obtain spinal fluid. I place a single drop onto a test strip, insert this into a disposable sensor that communicates with the iDoc. The test strip is a DNA microarray which does bedside nucleic acid analysis, and looks for matches for thousands of infectious organisms simultaneously. I receive an answer, without leaving the patient:


In severe infections like meningitis, a few hours’ delay in starting the right antibiotics can mean the difference between vision and blindness, hearing or deafness, or survival. Today, bedside cholesterol and serum electrolyte measurement can be done in about 90 seconds using a device weighing a few pounds. DNA probes (using polymerase chain reaction for signal amplification) are also nearly ubiquitous for the many common causes of infection. Again, its presently impractical for doctors to carry these devices with them everywhere, so we don’t. But in the future, we won’t have to.

EXAMPLE FOUR.

I am called urgently to the ICU to see a patient who is agitated, intubated with a breathing tube, and on a mechanical ventilator and intravenous infusions to support his blood pressure. My iDoc auto-synchs wirelessly with the sophisticated devices the patient is connected to, including his IV infusion pump. And it analyzes the data arriving from them, in realtime to indicate clinical alerts. As a first response, I have increased the oxygenation to 100%, and the pressure driving of the ventilator, but the patient is worsening. I request an analysis of the pattern of respiration, and the iDoc suggests there may be an airway obstruction. Upon checking the breathing (endotracheal) tube, I locate a mucous plug, suction it, and recitify the problem before a disaster occurs.



Bluetooth can connect the majority of clinical devices today; the only challenge is to establish consistent, shared protocols for clinical data. This will sort itself out, but a powerful, portable supercomputer will still be needed to gather it all, and make sense of it.

EXAMPLE FIVE.

An elderly passenger faints and collapses while on an airplane. The pilot asks if there is a physician available and prepares for an emergency landing. Fortunately, a doctor with an iDoc is onboard. She sees that the patient is breathing but not responsive, and has a very thready pulse by palpation. The doctor quickly places three stickers on the patient’s chest to obtain an EKG signal of the heart. This takes about 30 seconds. It shows:



The EKG analyzer recommends immediate defibrillation (shocking of the heart) at an energy level of 75 joules to restore rhythm. The iDoc can typically deliver ten shocks before draining its battery completely, but in this case it only took only two to save the patient. Fortunately, the doctor had a fully charged iDoc before boarding the plane.

An EKG with a defibrillator today weighs about 3-5 pounds, again too heavy to be carried by physicians, but it’s shrinking very rapidly.

THE iDOC IS NOT SOFTWARE ON AN iPHONE

Again I stress in each of the above examples that the iDoc is not just displaying images from a network. The iDoc is NOT a software application platform, but a special-purpose medical device founded upon a Super-iPhone. It sounds like a lot to ask for, but it can happen.


All of these technologies already exist. They are just not small, portable, or integrated, and have yet to be coalesced into a single coherent vision (hint). As a result, healthcare is delivered in virtually every country in the world using a universe of fragmented, disjointed devices, whose use is utterly inconsistent between patients and locations, and whose value, in the moments that matter, is largely unavailable because they are not pocket-able.


In summary, the iDoc would fundamentally change medicine and revolutionize the care of the ill. It would be universally portable, instantly usable, and lifesaving. The implications of its existence might be equivalent to that of the first personal computer, and considering the stakes, possibly larger.

Ahmed F. Ghouri M.D.

San Diego, CA

afghouri@gmail.com