Google healthcare knowledge graph: a step towards the consumer

Prem Ramaswami, Google product manager

A couple of days ago, Prem Ramaswami, a Google product manager announced that Google will start displaying relevant medical facts in the answer box we started to get familiar with or within an app on your smartphone. The answer comes from the Knowledge Graph: a complex algorithm that Google employs to understand and connect various facts about people, places and things and how these entities are all connected. Here is an example of what Google.com displays when I search for “measles” - notice the right hand box that contains the name, commons symptoms, treatments, frequency and an illustration.

Searching Google for measles Mayo clinic logo

The project itself is a huge undertaking involving several layers of information checkup by doctors and then, finally, signed of by the Mayo clinic, to ensure the information is both relevant and accurate. Prem Ramaswami estimates that, on average, 11.1 physicians would inspect and approve healthcare related information. It’s got to be quite expensive, but Google is determined to forge ahead. Why? A simple review of some key statistics related to searches on health care information point out an obvious answer:

● One in every 20 searches on Google is about health information, says Google.
● At least three-quarters (75%!) of all health inquiries begin at a search engine, says Pew Research Center.
● More than half of all health searches are now done on mobile devices, another Pew finding.
● 26% of online health seekers say they have been asked to pay for access to something they wanted to see online (just 2% say they did so).
● 31% of cell phone owners, and 52% of smartphone owners, have used their phone to look up health or medical information.

What can we expect in the near future? As a first phase, Google will start with 400 commonly searched for medical conditions with the intention of covering at least 10 percent of all current health searches. Presumably, this will gradually extend to a lot more. In the meantime, a lot of pages that derive traffic numbers from providing health information should perhaps expect their traffic to dwindle, unless they provide much more than just entry level information.

Feedback/Comments

Add a comment

Posting comment as guest.
If you already have an account, please LOGIN.
If not, you may consider creating on. It’s FREE!




Popular new stories

12/21/15
THE FOX GUARDING THE HEN COOP

1/18/16
Health is only what’s easy to measure: the case for mental health tracking

Categories

Editors List

Cash Doctor (Administrator)

Cooper B (Cooper)

George B (George)

Grace B (Grace)

Rob Stehlin (rob_stehlin)

Tags

8 word solution to healthcare access to health care access to information affordable health care afghanistan war ai-enabled healthcare annual cost of medical errors in usa apple healthkit bad healthcare barack obama big data cash doctor app cashdoctor app cashdoctor community cashdoctor mission cashdoctor.com platform cash-only patients college students are hurting consumer empowerment cost increases cost of health care cost reduction cost transparency crowdsourcing healthcare information data mining destroyed lives direct pay physicians direct pay practice direct pay system disruptive technologies dr. oliva blog post florida hospital association future healthcare google knowledge graph health health apps health care health care debate health care deception health care hidden agendas health care reform health insurance health insurance is a right health law health measures health plan healthcare healthcare changes healthcare decision making healthcare factors healthcare impact healthcare insurance healthcare lies healthcare movement healthcare price transparency healthcare reform healthcare solution healthcare system healthcare transparency health-related queries higher deductibles hospital cash discount hurt women hurt young people insurance insurance scam internet self-diagnosis large price increases lost jobs measuring value medical data privacy medical debt medical records privacy medical services price sharing medicare payments mobile apps mobile health search mobile healthcare mobile medicine obama obama administration obama’s health care lies obama’s manipulation obamacare obamacare and babies obamacare and pregnant women obamacare deception obamacare disinformation obamacare lies opposed to obamacare patient empowerment physician extenders ppo prefered provider organizations pregnant women and healthcare president obama prevention price comparison data price transparency privacy breach public agenda national survey public expectations on price information searching for healthcare costs share cost sharing information about medical costs social media impact on healthcare standardization of medical procedures symptom search telemedicine transparency transparent free market solution u.s. health system unmet needs us healthcare 2015 predictions usa today analysis user-friendly healthcare it value-based healthcare value-based points what women think of obamacare white house lies women women hate obamacare world hospital database