Health 2.0

I overviewed the Health 2.0 2009 conference largely through twitter. Here are my key takeaways:

  • HealthCare needs to become more consumer: All innovation will be driven through this domain, PatientsLikeMe & CureTogether are prime examples.
  • Keas launched as a platform for Care plans – I took it for a spin love the way you can create action items! Not as intuitive as Mint but not really a good analogy either.
  • Health 2.0 Accelerator – A lot of media towards this effort of trying a create a platform (yet again) to add for value for the end consumer using the better together model. Here is a Demo Video.
  • Public Health Media: Microsoft’s H1N1 Center, Google Flu Trends
  • Mobile: WebMD iPhone App
  • Physician’s Office: NPDigest.com – open source groupware for a clinic.

Please add your thought about the conference through the comments.

Guns, *Germs* and Steel

Jared Diamond makes a case that our recent history has been shaped by Guns, Germs and Steel. In this century we have seen in various ways how Guns, Germs and Steel wield their power. Currently, we are dealing with one such power fit of *Germs*. They say, flu is in the air, beware!

Earlier this year I had made a post about tracking Swine Flu using Ushahidi’s software. Various folks online have tried to help raise awareness of the pertinent epidemic, most noticeably CDC has launched a comprehensive website flu.gov to inform us better. Microsoft has launched the H1N1 Response Center and Google is helping through Flu trends.

Most common flu is the seasonal flu, which every year takes a toll of about 36,000 lives from late fall (Nov) to early Spring (March) and effects about 5-20 percent of population. This season we have a risk for a getting hit by swine flu (H1N1) which can cause more deaths, and there is an even deadlier version – the avian flu (H5N1).

So what should you do?

  • Wash your hands and avoid close contact with sick people.
  • Consider taking the Flu shot from a facility near you
  • If you feel Flu, take a Flu assessment powered by HealthVault :) .
  • Spread Flu Awareness – may be use the widget below:

Here is the code to copy this widget to your blog / website:

<iframe height="200" src="http://www.reemedix.com/misc/fluwidget.html"
    frameborder="0" width="300" scrolling="no">
</iframe>


Cycling to San Francisco – Ride Report

Earlier this year Myself and my colleague, Chris Tremonte, did a bike ride from Seattle to San Francisco. Thought I would link my ride report from here as well. Hopefully we helped in someway to increase the awareness for HealthDataRights.

Talking to HealthVault via ASP.NET MVC #1

Recently the ASP.NET MVC framework came out of beta and has garnered a lot of developer interest. This framework tries to provide interesting things like – total control over HTML, human readable URLs, AJAX, and facilitates test driven development. Successful web development frameworks like Ruby on Rails (ruby), Django (python) and Spring (Java) – also enable these characteristics. So cleary, there is some traction and tread for web frameworks to facilitate the Model, View, Controller paradigm.

There are quite a few challenges with regards to HealthVault SDK to work in this realm. The standard HealthServicePage no longer works in a controller paradigm. Eventually the SDK will need to provide a HealthServiceController, but until then I’ll try and explain how we can use the current SDK to work in an ASP.NET MVC world.

As I have explained earlier in my ruby series HealthVault authenticates an application in three contexts – anonymous, the application itself and the application in presence of user information. In this series I will try to take the same approach and explain how we can do the same with ASP.NET MVC.

It’s relative easy to talk to HealthVault via the anonymous GetServiceDefination method. Here is the heart of the code which enables this:

   1: public ActionResult Index()
   2: {
   3:     ViewData["Message"] = "Welcome to HealthVault ASP.NET MVC!";
   4:     
   5:     // Do an anonymous connection with HealthVault using the Hello World application id
   6:     ApplicationConnection appConnection = new ApplicationConnection(
   7:         new Guid("05a059c9-c309-46af-9b86-b06d42510550"),
   8:         "https://platform.healthvault-ppe.com/platform/");
   9:     // Get the service defination from HealthVault platform
  10:     ServiceInfo sInfo = appConnection.GetServiceDefinition();
  11:     // Pass the data for viewing
  12:     ViewData["ServiceInfo"] = sInfo.HealthServiceUrl.ToString();
  13:     return View();
  14: }


Here is the output from running this sample Mvc application, the entire source code for this application is shared here.

HealthVault Mvc #1

Next time: How to authenticate your application with HealthVault through ASP.NET MVC

Understanding Vocabularies #2 – HealthVault Recommendations

In my last article in the vocabulary category, I described the need for semantically enabled data and how different categories of health data have different standard vocabulary / ontology associated with them. In the following table I attempt to summarize the recommended vocabularies for different HealthVault types.

Disclaimer: Please note this is not a definitive or complete list, and I will update the table as I discover inconsistencies. The definitive source are the XSDs associated with HealthVault data types.

HealthVault Type Type Schema HV Recommended vocabulary related to this type Comments
Advance Directive 822a5e5a-14f1-4d06-b92f-8f3f1b05218f None

Examples include living wills and power of attorney for healthcare.

Allergy 52bf9104-2c5e-4f1f-a66d-552ebcc53df7 icd9cm, icd9cm-reactions Details on ICD-9 Codes
Basic Demographic Information bf516a61-5252-4c28-a979-27f45f62f78d ISO-3166 Country of residence
Blood Glucose Measurement

879e7c04-4e8a-4707-9ad3-b054df467ce4

glucose-measurement-type  
Blood Oxygen Saturation

3a54f95f-03d8-4f62-815f-f691fc94a500

blood-oxygen-saturation-measurement-method  
Body Composition

18adc276-5144-4e7e-bf6c-e56d8250adf8

body-composition-measurement-methods  
Body Dimension dd710b31-2b6f-45bd-9552-253562b9a7c1 body-dimension-measurement-names, body-dimension-measurement-names-pediatric  
Calorie Guideline

d3170d30-a41b-4bde-a116-87698c8a001a

calorie-guideline-names  
Concern aea2e8f2-11dd-4a7d-ab43-1d58764ebc19 concern-description Concerns are more general than conditions
Condition 7ea7a1f9-880b-4bd4-b593-f5660f20eda8    
Continuity of Care Document (CCD)

9c48a2b8-952c-4f5a-935d-f3292326bf54

   
Continuity of Care Record (CCR)

1e1ccbfc-a55d-4d91-8940-fa2fbf73c195

  http://www.ccrstandard.com/
Daily Medication Usage a9a76456-0357-493e-b840-598bbb9483fd dose-purpose, usage-schedule, x12-de-1330, prescription-type, x12-d3-355,  
Diabetes Insulin Injection Use

184166be-8adb-4d9c-8162-c403040e31ad

insulin-types,  
Discharge Summary

02ef57a2-a620-425a-8e92-a301542cca54

icd9cm  
HbA1C Measurement

227f55fb-1001-4d4e-9f6a-8d893e07b451

HbA1C-assay-method  
Health Assessment

58fd8ac4-6c47-41a3-94b2-478401f0e26c

health-assessment-name, health-assessment-value-sets, health-assessment-groups, health-assessment-category  
Heart Rate b81eb4a6-6eac-4292-ae93-3872d6870994 heart-rate-measurement-conditions  
HL7 Clinical Document Architecture, Release 2

1ed1cba6-9530-44a3-b7b5-e8219690ebcf

   
Immunization

cd3587b5-b6e1-4565-ab3b-1c3ad45eb04f

vaccines-cvx, vaccine-manufacturers-mvx, medication-routes,  
Insulin Injection

3b3c053b-b1fe-4e11-9e22-d4b480de74e8

insulin-types  
Insurance Plan

9366440c-ec81-4b89-b231-308a4c4d70ed

coverage-types  
Lab Test Results

f57746af-9631-49dc-944e-2c92bee0d1e9

LOINC, lab-status, lab-results-flag, More on LOINC here.
Medication 30cafccc-047d-4288-94ef-643571f7919d Rxnorm, NDC, medication-prescribed  
Medication Fill

167ecf6b-bb54-43f9-a473-507b334907e0

Rxnorm, NDC  
Personal Demographic Information

92ba621e-66b3-4a01-bd73-74844aed4f5b

blood-types, ethnicity, marital-status, religion, education-level,  
Pregnancy 46d485cf-2b84-429d-9159-83152ba801f4 delivery-complications, anesthesia-methods, delivery-methods, pregnancy-outcomes, gender-types, conception-methods,  
Question Answer 55d33791-58de-4cae-8c78-819e12ba5059 question-sets, answer-choice-sets  
Sleep Related Activity

031f5706-7f1a-11db-ad56-7bd355d89593

 

November 2005, "Your Guide to Healthy Sleep", ISBN 1-933236-05-1

Sleep Session

11c52484-7f1a-11db-aeac-87d355d89593

 

November 2005, "Your Guide to Healthy Sleep", ISBN 1-933236-05-1

Vital Signs

73822612-c15f-4b49-9e65-6af369e55c65

lab-results-units, lab-results-flag,  

 

As  you can notice above we recommend ICD-9, RxNorm, LOINC, NDC. x12-de-1130, x12-de-335. We do prefer SNOMED-CT as well, however the application using it need to have license for it.

Having written the above I would like to match that with what Dr. Halamka recommends in his post. Note that I mention content column for completeness, however its not useful for comparison.

Data Content Vocabulary
Demographics HL7 2.x for messaging, CCD for document summaries HITSP Harmonized code sets for gender, marital status
Problem List HL7 2.x for messaging, CCD for document summaries SNOMED-CT
Medications NCPDP script for messaging, CCD for document summaries RxNorm and Structured SIG
Allergies HL7 2.x for messaging, CCD for document summaries UNII for foods and substances, NDF-RT for medication class, RxNorm for Medications
Progress Notes and Other Narrative Documents (History and Physical, Operative Notes, Discharge Summary) HL7 2.x for messaging, CCD for document summaries CDA Templates (interesting note)
Departmental Reports (Pathology/Cytology, GI, Pulmonary, Cardiology etc.) HL7 2.x for messaging, CCD for document summaries SNOMED-CT
Laboratory Results HL7 2.x for messaging, CCD for document summaries LOINC for lab name, UCUM for units of measure, SNOMED-CT for test ordering reason
Microbiology HL7 2.x for messaging, CCD for document summaries LOINC for lab name/observation
Images DICOM  
Administrative Transactions (Benefits/Eligibility, Referral/Authorization, Claims/Remittance) X12 X12, CAQH CORE

Next Time: I’ll try to update the above tables with more details and try to come with recommendations of which clinical type (in the Data column above) would potentially match with which HealthVault type.

As usual leave your suggestions in the comments.