I just wanted to know when we send a End Visit Notification as Hl7 Message, can we include the below segments in the HL7 Message (ADT^A03) when we send End Visit Notification?
AIL - Appointment Information - Location Resource
AL1- Patient Allergy Information
CON - Consent Segment
CTD - Contact Data
DG1 - Diagnosis
DMI - DRG Master File Information
FAC - Facility
IAM - Patient Adverse Reaction Information
LAN -Language Detail
NTE -- Notes and Comments
ODS -- Dietary Orders, Supplements, and Preferences
PD1 -- Patient Additional Demographic
PID - Patient Identification
PR1 -- Procedures
PRA -- Practitioner Detail
PRB -- Problem Details
PRD Provider Data
PV1 Patient Visit
PV2 Patient Visit - Additional Information
RF1 Referral Information
TCD Test Code Detail
And also I just wanted to know, is there a limit on using the no of segments in a single HL7 Message?
Any help with this really appreciated it?
ADT/ACK - Discharge/End Visit (Event A03)
An A03 event signals the end of a patient’s stay in a healthcare facility. It signals that the patient’s status
has changed to “discharged” and that a discharge date has been recorded. The patient is no longer in the facility.
The patient’s location prior to discharge should be entered in PV1-3 - Assigned Patient Location.
Chapter 3: Patient Administration
An A03 event can be sent to notify: the pharmacy that the patient’s stay has ended and that entitlement to
drugs has changed accordingly; the nursing system that the patient has been discharged and that the care
plan can be completed; the extended care or home health system that the patient has been discharged and
that the new extended care or home health admission assessment can be scheduled; the finance system that
the patient billing period has ended; and/or the clinical repository that discharge has taken place for the
EMR.
This are the possible segments to be sent in ADT^A03.
For More Help Refer HL7 Standard Guide V_2.5.1
Related
I'm planning the following table:
While I know this is technically feasible (I just tried it), I wanted to see if it seemed unnecessarily complicated... Basically I'm keeping track of revenues vs. costs.
Tab1 contains revenue data for both Tab2 & Tab3. Tab2 contains its own cost data, so that's easy. But the complication is that Tab3 costs are further allocated across Tab2 units. That's why there's a secondary joinsB table there.
I realize this isn't a concrete question, but I know there are so many more experienced folks who, based on that experience, will have a gut "wow this is too complicated" sense or not about what I'm doing. That's what I'd like input/ feedback on as a gut check before I build this.
EDIT for more clarity
Tab1 = Charges
Tab2 = Reservations
Tab3 = Logistics
joinsA = TypeCharges
joinsB = TypeLogistics
A user pays for a reservation of something, but may also pay to have that something shipped logistically. The two payments are wrapped up in one charge. The complication is that one logistics shipment may contain more than 1 reservation under separate users (i.e., separate charges).
This data structure is designed to help me do two things:
easily track exactly which charge is associated with a given reservation or logistics so that for example I can issue a refund, but for a specific amount (for example, a user may keep the reservation but want to cancel the logistics shipment and pay for it him/herself using another vendor)
easily understand how the cost of a logistics breaks down into allocatable costs by reservation
The latter is why Tab3 and Tab2 are joined, and the through table contains more information on the nature of the type of logistics. The through table also contains the charge amount that the user paid to have a reservation shipped logistically. Tab3 contains the cost of the logistics which is then allocated based on how many reservations there are. Then you can compare that allocated cost against the charge for the specific reservation in the joins table.
It seems that you need to track your charges at reservation + logistics level. If I were to model this I would do it as shown in the below diagram where the Reservations is an entity/table and so is Logistics. These have a many-to-many relation with each other, this is many-to-many relation is materialized using the Charges entity/table. So if you need charges for a reservation, you add up all the charges for a reservation, if you need charges for a logistic you add up all the charges for a logistic/shipment. The base data in the Charges table will contain the lowest level of granularity of the charges and can be rolled up by reservation and/or logistic/shipment.
Hope this helps
I have started to work on a dimension model to know the count of new customers who visited a shop. I'm little bit confused in identifying the facts and dimensions for this purpose. Can someone help me in this regard?
As per my understanding, I have identified Customer, Product, Invoice, Time, Payment as dimensions (as per level 0). But, I'm not sure of how to identify fact in this regard. I know that facts are those data which are measurable. The measure or the result that I want to achieve post data model is how to get count of new customers that visited in current month.
Does each visit result in an invoice? How is "new customer" defined (i.e., their first invoice, some time period after their first invoice?)
If so, one option would be to create a "factless fact table" to capture each invoice event and create a dimension to indicate that the invoice is the first invoice for that customer (i.e., New Customer). You could then use a distinct count of patients where the New Customer dimension indicates that they are a new customer.
FactVisit(TimeKey,CustomerKey,InvoiceKey,ProductKey,PaymentKey,NewCustomerIndicatorKey)
DimNewCustomerIndicatorKey(NewCustomerIndicatorKey, ...) {"Y", "N")
Another possibility would be a separate fact table that captures a row the first time a customer is seen.
One additional option would be to include an attribute in the Customer dimension that holds the date that the customer was first seen.
A lot depends on what/if any OLAP front-end you're using and what tool you're using to report the results.
I am building a dimensional model for sales analysis that has a fact called Sales and is linked with a Product dimension.
Point is that for each day the Product inventory will change, and this information is important for them to analyse why a specific product wasn't sold (for example, on day XX/XX the product 123456 wasn't sold because there where no products in the inventory).
I'd like to know the best option to modeling this situation and if possible a short explanation about how it'd work.
Thanks in advance!
This is a pretty broad discussion question, so here' some discussion.
Dimension tables
-- Products -----
ProductId
Name
(etc.)
Contains one row per product being tracked
ProductId should be a surrogate key
-- Time --------
TimeId
ReportingPeriod (Q1, week 17, whatever as desired)
(etc.)
Contains one row for every day being tracked.
Once the results of a day’s activities are known, it can be added to the warehouse
Note that TimeId does not have to be a surrogate key
Fact tables
-- Inventory -------------------------
ProductId
TimeId
Once the results of a day’s activities are known, they can be added to the warehouse
One row (per day) for each product, listing the inventory available as of the end of that day
But then it gets complex: just what data is needed, and what data is availabe? Assuming the data is for one day, possible facts to track and record include:
StartingInventory -- What you had at the start of the day
UnitsReceived -- Units received for storage today
UnitsSold -- Units sold (that cannot be sold again) but not yet shipped
UnitsShipped -- Units shipped (sold or otherwise)
EndingInventory -- Units in stock at end of day
It gets complex fast. Again, much depends on what information you have available and what questions will be asked of your warehouse.
After finishing Michael Hartl's tutorial on Rails, my first pet project is building a call tracking app using the Twilio API. The basic idea is the following -
There are 4 plans users can sign up for, which limit the number of phone numbers they have, and the number of minutes they can use
Each user, once registered gets their own subaccount from Twilio
Each user can buy phone numbers, limited to their plan
Each user can track what's happening on their phone numbers.
Right now, I've build a basic authorization system, and brainstormed a potential data structure. I have huge loop holes in understanding though, so an experienced programmer's eyes would be greatly appreciated. I.e is there a better data structure, does what I outline below even make sense?
---So, here's the data structure
Table : Plans
max_phone_numbers: integer
max_minutes: integer
has_many: users
Table : Users
name:string
email:string
password_digest:string
remember_token:string [For log in system]
Twilio_SubAccountSid: string
Twilio_SubAccountAuthToken: string
Plan id : integer [to connect to plan]
stripe_token : string [for charging]
belongs_to: plan
has_many: phone_numbers
Table : Phone Numbers
belongs_to users
phone_number:string
user_id: integer
has_many: data_points
Table : Twilio Data
belongs_to phone_numbers
phone_number_id: string
[All of Twilio's call tracking data..i.e duration of call, location etc.]
Okay, that's pretty much my interpration of how it might work. Please tear it apart!
In terms of the data structure, I think this seems to be it. What I didn't realize though is that there's a lot more controllers involved. For example, searching and buying in Twilio involved two CREATE actions, so I had to make another controller. I imagine there would be another controller that would be responsible for routing calls.
Here's an example:
Every time a user sells a car, he has to reply to my system to say what the color of the car is that he sold (my system knows that a car was sold and what its make is but not what color it was).
If the user sells only 1 car at a time and texts back immediately, I can remember which car he is talking about by storing information about the current_car in a session variable. If, on the other hand, the user sells 3 cars simultaneously, I can't store a current_car session variable because there are 3 current cars.
How do I know which car the user is talking about when he replies to my text? Is there any way to embed a unique token in the text message I send so that the reply references the correct car out of the 3 cars?
Twilio API doesn't support that. Have you noticed what Twitter does for the same precise use-case? They include in the original SMS instructions such as "reply directly with ....". The user would have to type that in so keep it simple.
Alternatively, you can reply to the ambiguous messages with "There were three cars. Which sold? (reply with number 1, 2, or 3)"