February 11, 2021 – Advisory: Incomplete Query Results with ‘ORDER BY <row ID field> DESC’ – HealthShare
InterSystems has corrected a defect that can cause incomplete query results. This defect affects the platforms underlying HealthShare and HealthShare Health Connect:
We are looking to better understand how our users configure and manage our products. If you have a few minutes, please fill out this quick survey https://www.surveymonkey.com/r/N2JX3TQ
If you're willing to participate in an in-depth interview about your experiences, you might be eligible for a $100 gift card! Indicate in the survey that you'd like to talk to us and we will be in touch the second week in September!
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For a variety of reasons, users may wish to mount a persistent volume on two or more pods spanning multiple availability zones. One such use case is to make data stored outside of IRIS available to both mirror members in case of failover.
Unfortunately the built-in storage classes in most Kubernetes implementations (whether cloud or on-prem) do not provide this capability:
Like many others probably find themselves, we were stuck doing live data mapping in our Interface Engine that we really didn't want to do, but had no good alternative choice. We want to only keep mappings for as long as possibly needed and then purge expired rows based upon a TTL value. We actually had 4 use cases for it ourselves before we built this. Use cases:
I am trying to track down a problem we saw this morning with our TEST environment. We had a momentary issue where InterSystems HealthShare Health Connect could not connect correctly to LDAP. When we tried to login and could not connect to LDAP, the system would Delete our users.
the Test LDAP function would return a "Can't contact LDAP server". I went through the Certificates, made sure they had the correct permissions and were not expired.
Receiving HL7 messages from our EMR, and processing to send out to downstream system. These are SIU_S12 messages, with a custom ZOR segment added by the EMR to include order information. The purpose of including this segment is to allow us to only send messages to the vendor that contain a procedure ID that is included on the list of procedures desired by the vendor. These values are in a LUT with the procedure ID in the key field, and a value of 1.
I am building a patient room door signage for a customer who has Trakcare already deployed. The app will reflect patient's data upon admission in the hospital (eg. name, male/female, doctor, mrn, special diet, etc...)
When the patient is discharged, "something" will tell the app that the patient was discharged and the screen will be reset.
We are about to embark on a development where we'll be taking HL7 messages and generating PDF reports from them. We are wanting to future proof our development efforts within the constraints of our currently deployed platform and future upgrade options. We are currently running on Ensemble 2018, though an upgrade to Iris is anticipated - at some indeterminate point in the future. We are aware of Zen Reports and InterSystems Reports (Logi) as technology options, but are also unclear on some details. A roadmap and guidance from those who've done this kind of thing before would be great!
I want to deploy IRIS apps running in containers in Kubernetes with user accounts configured.
I have a %ZSTART routine which looks for an XML file with Users export data and if the %ZSTART routine finds this file, it imports it. This Users export data can be obtained by running a class method.
I have defined a task which can be scheduled or run on demand. This tasks imports user data from an XM file.
In Kubernetes I can provide a ConfigMap to stage the Users data for the %ZSTART routine.
InterSystems and the developer community around ZPM have been working together to take ZPM to the next level, building it into IRIS and making it a tool that can not only manage 3rd-party code, but key parts of InterSystems' products. You can hear a lot more on this topic at Global Summit 2022, and attend an experience lab to get hands-on.
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