@Cordell -- well, to that point, we do all have to remeber that analytics doesn't GUARANTEE smart decision-making! But along those lines, Alex Martins, CEO at Orlando Magic said this morning he thinks we're shortly away from BI dashboards on iPads on the bench so managers can make play-by-play decisions.
@Cordell, I think they do go together, particularly in the minds of the healthcare providers lawyers. A more 'empowered' patient is one that is less likely to win in a malpractice case by arguing they weren't informed or didn't understand.
Beth. It's interesting! Analytics is spread through relationships but must have a business objective...or a problem that needs to be solved. So these may be some reasons some businesses use analytics and some don't.
I'm convinced that, right now, the most important tool for "patient empowerment" is a dedicated spouse/partner who is present, taking notes, and asking questions on behalf of the patient (who's typically quite busy just trying to survive or get better). I simply can't imagine going through the healthcare system alone. Must of the patient-oriented technology is an attempt to replicate the efforts of this dedicated surrogate for the patient.
I don't know, @Beth and @Alison - I think the term 'patient empowerment' is a buzz term that every healthcare provider tosses about all the time, but I would like to see how many actually do anything to make it real.
@Alison, the "incorrect" part is a piece of the discussion on why a patient is asked for the same information 3,000 times during a single hospital visit. Where I see a greater chance for error coming into the system, some see an opportunity for error correction. As far as ownership/control, HIPAA assumes that healthcare providers working for a patient have a legitimate need for access and therefore don't need explicit permission at each step: I don't think that the EHR protocols would really have a huge impact on that.
I'd like these guys to address the issue of real-time analytics. For example, Prasanna is talking about providing 320-degree view of customer for call center agent. How fast does that need to be delivered to the terminal? As fast as sending out a thank you email when on online shopper buys?
Yes, I agree, rscollica. Yet I think there's a market for solution providers/vendors that can market an easier to use/correctly priced solution to SMBs that want analytics capabilities, especially those that integrate social media.
@Alison, I see many small businesses trying to use it, however, many are strapped for case to invest. Hardware, software, analytic expertise, etc. Some outsource, some try to partner; many don't have upper level management approval to do so.
@Jim, standardizing the terms is huge, and something that's non-trivial given the "art" of medicine. I know it would be a very good thing, though, if every provider had access to all the information available for each patient.
@Rodney Brown, your comment reminds me of one I heard this morning from marketing analytics exec at Best Buy. "I can't do analytics if I can't get access to the data." (Hence the reason for integration/CoE involving IT and analytics and the business)
That's a great point Tonya is making about the approach to analytics and helping the business in bits and pieces. Going after the low-hanging fruit is always a good starting point for IT -- so why not analytics, too.
Rodney. Analyzing healthcare trends actually has been handicapped by more than regs. It's an issue of terminology, data formats, etc. Part of the EHR movement is to get closer to standardization, so particular treatments, ailments, etc., are defined the same way from provider to provider and insurer to insurer.
@Terry, we've written, too, about some grad-level research work that essentially worked on the same sort of problem -- how to forecast spread of disease. There were interesting results. I'll have to dig out the link ...
@Beth and @Terry, it may be a parlor trick that shows what could be done if the enormous amounts of real patient data was allowed to be analyzed on the fly for healthcare trends. Regs get in the way of so much innovation in this space.
Curtis, you said: "I've asked a number of healthcare professionals about this, and they seem very resistant to change. They seem to justify it on the basis of checks and double-checks on patient identity and therapeutic needs. It's a very interesting conversation..." How does this conflict with use of data?
There's a lot of interesting data gathering and exploration in healthcare data outside the corporate sector, too -- which is where we might ultimately see some real advantage in healthcare. Simple example is Google Flu trending
@Curtis, we've talked about that "do we need a human still" question a bit on AllAnalytics.com and I think I have to answer with the oh-so-certain, "It depends." It depends on where the data is coming from and what your purposes are. But we do see the need to translate unstructure text (sentiments for example) into structured data, plunked into the database, for analytics
Nicole. That seems to make sense -- identify the problem and then use analytics to find the solution, or at least the reasons behind it. Otherwise you can end up using analytics on an extended fishing trip.
@Kim, I've asked a number of healthcare professionals about this, and they seem very resistant to change. They seem to justify it on the basis of checks and double-checks on patient identity and therapeutic needs. It's a very interesting conversation...
@Kim: The privacy and liability issues are really extraordinary in this sector. Not to put too fine a point on it, but everybody's scared to death of malpractice or getting fined by regulators (usually in the millions of $)
@BethSchultz, do you think the natural language processesing is going to become good enough to make it really cost-effective? Will we always have to have a process that involves a human going over the transcript to make sure no errors were introduced?
@Curtis, it seems to me to be a no brainer to have a central database of info on a patient from which other forms can be populated. I almost feel I could set it up myself, and I have trouble changing a light bulb.
@Kim Davis, I recently moved to Charlotte and every healthcare provider Ive been to so far uses EHRs.I havet seen a pen, yet. All the data gathered has been digital. I recently hurt my hand playing soccer, so had to get an x-ray. Even the x-rays were sent directly to the computer in my room for the Dr. to look at. I was pretty intrigued.
Sounds like to me that if an organization wants to make better decisions using data/analytics, then they need a data governance and information gathering process to guide and manage this as a useful business asset.
Beth. Here's a chicken or egg question. Wondering if it came up in the HBR research. Are people primarily using analytics to identify where the problems/opportunities lie? Or are they identifying problems on their own, and applying analytics to find the right solutions?
Tonya and her healthcare challenges: heros are those that went in, looked past data, went with gut and came up with solution. That's hard to get past if you're trying to change corporate mentality, I'd say!
Tom: realizes that having worked on analytics and knowledge management -- actitivities intended to create better decisionmaking but sometimes don't. So he set out to find 12 good stories about those who get it right. "Great man is history." Great decisions made by groups, using analytics.
Quiet an auspicious panel lined up ready to present: Angelia Herrin, an editor with Harvard Business Review, Tom Davenport, analytics thought leader (and an AllAnalytics.com blogger), and Prasanna Dhore, vice president of global insights at HP
Hey all. Getting close to start time for our first live e-chat today, Judgement Calls: Analytics-Based Decision Making and The Teams That Do It Right." Please join in the conversation from onsite or at your desktops! (For the latter, tune into the live simulcast here.
Join us here, Tuesday, April 24, for an e-chat live from Orlando where we'll be attending SAS Global Forum Executive Conference and sharing speaker insight and our own two cents during the 10:45 a.m. to noon session, Judgment Calls: Analytics-Based Decision Making and The Teams That Do It Right.
Speakers: Angelia Herrin, an editor with Harvard Business Review, Tom Davenport, analytics thought leader (and an AllAnalytics.com blogger), and Prasanna Dhore, vice president of global insights at HP