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Hello Community, I'd like to share with you our article with @Regilo.Souza on AWS Amazon blog Automating application-consistent Amazon EBS Snapshots for InterSystems IRIS databases. Our team has created this step-by-step instruction to create application-consistent snapshots for InterSystems IRIS databases. In this article, we outline how to automate pre-scripts to pause I/O and flush buffer to disk and post-scripts to thaw I/O, as shown in the following figure: Previously, we outlined how to create application-consistent snapshots using Amazon Data Lifecycle Manager and custom scripts, including the necessary steps to create Amazon Data Lifecycle Manager policies that use AWS Systems Manager Agent to run custom scripts on your EC2 instances before and after EBS Snapshots are initialized. And now in this new post we build on those instructions to automate this process. Feel free to follow them and share your thoughts in the comments!

Hello Community! A new challenge has arrived for you: The Third InterSystems Technical Article writing contest in Spanish is here! 🏆 3rd Technical Articles Contest in Spanish 🏆 Description of the contest: Write an article in Spanish in the Developer Community, on any topic related to InterSystems technology. Duration: from May 6 to June 2, 2024. Prizes for all participants: Everyone who publishes an article in Spanish (In the Spanish Community) during the contest period will receive a prize. Main prize: LEGO Ferrari Daytona SP3 / Magic Gringotts™ Bank - Collector's Edition. Participate in the contest and reach hundreds of users! It's one of the best opportunities to publish those tips you've discovered. Prizes 1. All participants win in the InterSystems technical article competition -> Any member of the Community who participates in the competition will receive a gift from InterSystems for participating. 2. Expert Awards – the winning articles in this category will be chosen by InterSystems experts and will be able to choose in each case: 🥇 1st place: LEGO Ferrari Daytona SP3 or Gringotts™ Magic Bank - Collector's Edition. 🥈 2nd place: LEGO NASA Artemis Space Launch System or Patagonia Nano Puff® Hoody men's jacket. 🥉 3rd place: JBL Flip 6 Speaker, Amazon Kindle 8G Paperwhite (Eleventh Generation) or Samsonite SPECTROLITE 3.0 15.6" Backpack Or alternatively, any winner can choose a prize from a category lower than their own. Note: Prizes are subject to change if availability in the country does not allow delivery. 3. Developer Community Award – article with the highest number of "Likes". The person who wins will be able to choose one of these prizes: 🎁 JBL Flip 6 Speaker, Amazon Kindle 8G Paperwhite (Eleventh Generation) or Samsonite SPECTROLITE 3.0 15.6" Backpack Note: Each author can only win one prize from each category (in total, an author can win two prizes: one in the Expert category and one in the Community category) Who can participate? Anyone registered in the Developer Community, except InterSystems employees. Register here in the Community if you don't already have an account. Contest Duration 📝 From May 6 to June 2: Article publication phase. 📝 From June 3 to June 9: Voting phase Publish your article(s) during that period. Members of the Developer Community can vote for articles they like by clicking "Like" below each article. Tip: The sooner you publish your article(s), the more time you will have to get more votes from the Experts and the Community 🎉 June 10: Winners announced Requirements ❗️ Any article written during the contest period that meets the following requirements will automatically enter the competition: The article must be directly or indirectly related to InterSystems technology (characteristics of InterSystems products or, also, complementary tools, architectural solutions, best development practices,...). The article must be written in Spanish. The article must be 100% new (it can be a continuation of an already published article). The article cannot be a copy or translation of another published in the Developer Community in Spanish or in another Community. Article size: >1,000 characters (links do not count in character calculation). Participation mode: individual (one participant is allowed to publish several articles). What can you write about? You can choose any technical topic related directly or indirectly to InterSystems technology. 🎯 BONUS: The Experts give 3 votes to the article they consider the best, 2 votes to the 2nd one they consider best and 1 vote to the 3rd one they consider best. Additionally, articles can receive more points based on the following bonuses: Note: the judges' decision does not accept appeals 1. Bonus for new author: If it is the first time you participate in the Technical Article Contest in Spanish, your article will receive 1 extra vote from the Experts. 2. Theme bonus: If your article falls within the following themes, you will receive 2 extra points. Use of AI/ML/GenAI How to take advantage of the possibilities of Vector Search Taking advantage of the column storage feature ️️Use of integrated Python Use of Cloud SQL Use of VSCode Exploitation of IRIS FHIR capabilities (SMART in FHIR 2.0, FHIR object model, FHIR SQL Builder, Bulk FHIR,...) 3. Bonus per video: if, in addition to the article, it is accompanied by an explanatory video, the candidate will receive 4 points. 4. Tutorial Bonus: You will receive 3 points if the article has tutorial features, with step-by-step instructions that a developer can follow to complete one or more specific tasks. So... Let's go! We are looking forward to your articles! Community! May the force be with you! ✨🤝 Last call! This Sunday the contest closes, for those of you who had doubts, now is the time! We have amazing prizes waiting for you. I know that some of the best articles are published in the English community, it's time to prove it in this contest :)

Hi Community! Calling all InterSystems IRIS for Health users! We’re looking to gather reviews on G2 about your experience with the platform. The first reviewers will receive a $25* gift card, so get your review in now! To write a review, please follow the link. G2 is an independent review site where over a million professionals share opinions on software. The gift card is from G2, so your eligibility to receive it is not affected by the content of your review. *25 USD or equivalent

If you are a customer of the new InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® cloud offerings and want access to the metrics of your deployments and send them to your own Observability platform, here is a quick and dirty way to get it done by sending the metrics to Google Cloud Platform Monitoring (formerly StackDriver). The Cloud portal does contain a representation of some top level metrics for at-a-glance heads up metrics, which is powered by a metrics endpoint that is exposed to you, but without some inspection you would not know it was there. 🚩 This approach is most likely taking advantage of a "to be named feature", so with that being said, it is not future-proof and definitely not supported by InterSystems. So what if you wanted a more comprehensive set exported? This technical article/example shows a technique to scrape and forward metrics to observability, it can be modified to suit your needs, to scrape ANY metrics target and send to ANY observability platform using the Open Telemetry Collector. The mechanics leading up to the above result can be accomplished in many ways, but for here we are standing up a Kubernetes pod to run a python script in one container, and Otel in another to pull and push the metrics... definitely a choose your own adventure, but for this example and article k8s is the actor pulling this off with Python. Steps: Prereqs Python Container Kubernetes Google Cloud Monitoring Prerequisites: An active subscription to IRIS® Cloud SQL One Deployment, running, optionally with Integrated ML Secrets to supply to your environment Environment Variables Obtain Secrets I dropped this in a teaser as it is a bit involved and somewhat off target of the point, but these are the values you will need to generate the secrets. ENV IRIS_CLOUDSQL_USER 'user' ENV IRIS_CLOUDSQL_PASS 'pass' ☝ These are your credentials for https://portal.live.isccloud.io ENV IRIS_CLOUDSQL_USERPOOLID 'userpoolid' ENV IRIS_CLOUDSQL_CLIENTID 'clientid' ENV IRIS_CLOUDSQL_API 'api' ☝ These you have to dig out of development tools for your browser. `aud` = clientid `userpoolid`= iss `api` = request utl ENV IRIS_CLOUDSQL_DEPLOYMENTID 'deploymentid' ☝ This can be derived from the Cloud Service Portal Python: Here is the python hackery to pull the metrics from the Cloud Portal and export them locally as metrics for the otel collector to scrape: iris_cloudsql_exporter.py import time import os import requests import json from warrant import Cognito from prometheus_client.core import GaugeMetricFamily, REGISTRY, CounterMetricFamily from prometheus_client import start_http_server from prometheus_client.parser import text_string_to_metric_families class IRISCloudSQLExporter(object): def __init__(self): self.access_token = self.get_access_token() self.portal_api = os.environ['IRIS_CLOUDSQL_API'] self.portal_deploymentid = os.environ['IRIS_CLOUDSQL_DEPLOYMENTID'] def collect(self): # Requests fodder url = self.portal_api deploymentid = self.portal_deploymentid print(url) print(deploymentid) headers = { 'Authorization': self.access_token, # needs to be refresh_token, eventually 'Content-Type': 'application/json' } metrics_response = requests.request("GET", url + '/metrics/' + deploymentid, headers=headers) metrics = metrics_response.content.decode("utf-8") for iris_metrics in text_string_to_metric_families(metrics): for sample in iris_metrics.samples: labels_string = "{1}".format(*sample).replace('\'',"\"") labels_dict = json.loads(labels_string) labels = [] for d in labels_dict: labels.extend(labels_dict) if len(labels) > 0: g = GaugeMetricFamily("{0}".format(*sample), 'Help text', labels=labels) g.add_metric(list(labels_dict.values()), "{2}".format(*sample)) else: g = GaugeMetricFamily("{0}".format(*sample), 'Help text', labels=labels) g.add_metric([""], "{2}".format(*sample)) yield g def get_access_token(self): try: user_pool_id = os.environ['IRIS_CLOUDSQL_USERPOOLID'] # isc iss username = os.environ['IRIS_CLOUDSQL_USER'] password = os.environ['IRIS_CLOUDSQL_PASS'] clientid = os.environ['IRIS_CLOUDSQL_CLIENTID'] # isc aud print(user_pool_id) print(username) print(password) print(clientid) try: u = Cognito( user_pool_id=user_pool_id, client_id=clientid, user_pool_region="us-east-2", # needed by warrant, should be derived from poolid doh username=username ) u.authenticate(password=password) except Exception as p: print(p) except Exception as e: print(e) return u.id_token if __name__ == '__main__': start_http_server(8000) REGISTRY.register(IRISCloudSQLExporter()) while True: REGISTRY.collect() print("Polling IRIS CloudSQL API for metrics data....") #looped e loop time.sleep(120) Docker: Dockerfile FROM python:3.8 ADD src /src RUN pip install prometheus_client RUN pip install requests WORKDIR /src ENV PYTHONPATH '/src/' ENV PYTHONUNBUFFERED=1 ENV IRIS_CLOUDSQL_USERPOOLID 'userpoolid' ENV IRIS_CLOUDSQL_CLIENTID 'clientid' ENV IRIS_CLOUDSQL_USER 'user' ENV IRIS_CLOUDSQL_PASS 'pass' ENV IRIS_CLOUDSQL_API 'api' ENV IRIS_CLOUDSQL_DEPLOYMENTID 'deploymentid' RUN pip install -r requirements.txt CMD ["python" , "/src/iris_cloudsql_exporter.py"] docker build -t iris-cloudsql-exporter . docker image tag iris-cloudsql-exporter sween/iris-cloudsql-exporter:latest docker push sween/iris-cloudsql-exporter:latest Deployment: k8s; Create us a namespace: kubectl create ns iris k8s; Add the secret: kubectl create secret generic iris-cloudsql -n iris \ --from-literal=user=$IRIS_CLOUDSQL_USER \ --from-literal=pass=$IRIS_CLOUDSQL_PASS \ --from-literal=clientid=$IRIS_CLOUDSQL_CLIENTID \ --from-literal=api=$IRIS_CLOUDSQL_API \ --from-literal=deploymentid=$IRIS_CLOUDSQL_DEPLOYMENTID \ --from-literal=userpoolid=$IRIS_CLOUDSQL_USERPOOLID otel, Create Config: apiVersion: v1 data: config.yaml: | receivers: prometheus: config: scrape_configs: - job_name: 'IRIS CloudSQL' # Override the global default and scrape targets from this job every 5 seconds. scrape_interval: 30s scrape_timeout: 30s static_configs: - targets: ['192.168.1.96:5000'] metrics_path: / exporters: googlemanagedprometheus: project: "pidtoo-fhir" service: pipelines: metrics: receivers: [prometheus] exporters: [googlemanagedprometheus] kind: ConfigMap metadata: name: otel-config namespace: iris k8s; Load the otel config as a configmap: kubectl -n iris create configmap otel-config --from-file config.yaml k8s; deploy load balancer (definitely optional), MetalLB. I do this to scrape and inspect from outside of the cluster. cat <<EOF | kubectl apply -f -n iris - apiVersion: v1 kind: Service metadata: name: iris-cloudsql-exporter-service spec: selector: app: iris-cloudsql-exporter type: LoadBalancer ports: - protocol: TCP port: 5000 targetPort: 8000 EOF gcp; need the keys to google cloud, the service account needs to be scoped roles/monitoring.metricWriter kubectl -n iris create secret generic gmp-test-sa --from-file=key.json=key.json k8s; the deployment/pod itself, two containers: deployment.yaml apiVersion: apps/v1 kind: Deployment metadata: name: iris-cloudsql-exporter labels: app: iris-cloudsql-exporter spec: replicas: 1 selector: matchLabels: app: iris-cloudsql-exporter template: metadata: labels: app: iris-cloudsql-exporter spec: containers: - name: iris-cloudsql-exporter image: sween/iris-cloudsql-exporter:latest ports: - containerPort: 5000 env: - name: "GOOGLE_APPLICATION_CREDENTIALS" value: "/gmp/key.json" - name: IRIS_CLOUDSQL_USERPOOLID valueFrom: secretKeyRef: name: iris-cloudsql key: userpoolid - name: IRIS_CLOUDSQL_CLIENTID valueFrom: secretKeyRef: name: iris-cloudsql key: clientid - name: IRIS_CLOUDSQL_USER valueFrom: secretKeyRef: name: iris-cloudsql key: user - name: IRIS_CLOUDSQL_PASS valueFrom: secretKeyRef: name: iris-cloudsql key: pass - name: IRIS_CLOUDSQL_API valueFrom: secretKeyRef: name: iris-cloudsql key: api - name: IRIS_CLOUDSQL_DEPLOYMENTID valueFrom: secretKeyRef: name: iris-cloudsql key: deploymentid - name: otel-collector image: otel/opentelemetry-collector-contrib:0.92.0 args: - --config - /etc/otel/config.yaml volumeMounts: - mountPath: /etc/otel/ name: otel-config - name: gmp-sa mountPath: /gmp readOnly: true env: - name: "GOOGLE_APPLICATION_CREDENTIALS" value: "/gmp/key.json" volumes: - name: gmp-sa secret: secretName: gmp-test-sa - name: otel-config configMap: name: otel-config kubectl -n iris apply -f deployment.yaml Running Assuming nothing is amiss, lets peruse the namespace and see how we are doing. ✔ 2 config maps, one for GCP, one for otel ✔ 1 load balancer ✔ 1 pod, 2 containers successful scrapes Google Cloud Monitoring Inspect observability to see if the metrics are arriving ok and be awesome in observability! 💡 This article is considered InterSystems Data Platform Best Practice.

In the summer of 1993 for the first time was held InterSystems Global Summit. Many warm memories are associated with this event! We hope you had the opportunity to visit one or more of Global Summits! Let's share photos of the best moments you had at any InterSystems Global Summit in the comments below. InterSystems Global Summit 2024 this year will take place on June 9-12, 2024 National Harbor, Maryland. Learn more about this event and register here. Hi @Olga.Zavrazhnova2637 Thank you for taking the initiative.I had the pleasure of attending last 2 year's InterSystems Global Summits, and it was a fantastic experience! The sessions were insightful, and I had the chance to connect with many industry experts. Here’s few of my best moments from the event. Thanks See you in Maryland! Can't wait to see everyone again this year!!!🤩

InterSystems FAQ rubric If you want to run an OS executable file, command, or a program created within an InterSystems product when the InterSystems product starts, write the processing in the SYSTEM^%ZSTART routine. (The %ZSTART routine is created in the %SYS namespace). Before you write any code in SYSTEM^%ZSTART, make sure that it works properly under all conditions. If the ^%ZSTART routine is written incorrectly, or if it is written correctly but the command does not return a response or an error occurs during processing, InterSystems products may not be able to start. For more information, please refer to the following document. About writing %ZSTART and %ZSTOP routines [IRIS]About writing %ZSTART and %ZSTOP routines One other thing to note is that you should not put any long running processes in %ZSTART as they will hold up the Start process. If you have to, then consider JOBbing it off to a separate process, so it can run in the background and allow the rest of the startup steps to run in parallel.

Hey Developers, Play the new video on InterSystems Developers YouTube: ⏯ Chatbots are all the RAGe: Generative AI with InterSystems IRIS @ Global Summit 2024 Discover the capabilities of InterSystems IRIS Vector Search, including integrating dense vector storage and search with InterSystems IRIS SQL for advanced semantic search and other GenAI application patterns. This video will illustrate how Vector Search powers Retrieval-Augmented Generation (RAG) for chatbots, presenting practical use cases that transform your data and applications with AI innovations. Presenters:🗣 @tomd, Product Manager, Machine Learning, InterSystems🗣 @Alvin.Ryanputra, Systems Developer, InterSystems Enjoy watching, and get ready for more videos! 👍

Hi Community,In this series of articles, we will explore the following InterSystems SQL usage options: Embedded SQL Dynamic SQL Class Queries SQL Overview InterSystems SQL provides a full set of standard relational features, including the ability to define table schema, execute queries, and define and execute stored procedures. You can execute InterSystems SQL interactively from the Management Portal or programmatically from using a SQL shell interface. Embedded SQL enables you to embed SQL statements in your ObjectScript code, while Dynamic SQL enables you to execute dynamic SQL statements from ObjectScript at runtime. 1. Embedded SQL Within ObjectScript, InterSystems SQL supports Embedded SQL: the ability to place an SQL statement within the body of a method (or other code). Using Embedded SQL, you can query a single record, or define a cursor and use that to query multiple records. Embedded SQL is compiled. By default, it is compiled the first time it is executed (runtime), not when the routine that contains it is compiled. Embedded SQL is quite powerful when used in conjunction with the object access capability of InterSystems IRIS. 2. Dynamic SQL Dynamic SQL refers to SQL statements that are prepared and executed at runtime. In Dynamic SQL preparing and executing an SQL command are separate operations. Dynamic SQL lets you program within InterSystems IRIS in a manner similar to an ODBC or JDBC application (except that you are executing the SQL statement within the same process context as the database engine). Dynamic SQL is invoked from an ObjectScript program. Dynamic SQL queries are prepared at program execution time, not compilation time. 3. Class Queries A class query is a tool, contained in a class and meant for use with dynamic SQL, to look up records that meet specified criteria. With class queries, you can create predefined lookups for your application. For example, you can look up records by name, or provide a list of records that meet a particular set of conditions, such as all the flights from Paris to Madrid. Before moving to the first option, let us create a persistent class Demo.Person, that also extends the %Populate class to populate some data. Class Demo.Person Extends (%Persistent, %Populate) { /// Person's name. Property Name As %String(POPSPEC = "Name()") [ Required ]; /// Person's Social Security number. This is validated using pattern match. Property SSN As %String(PATTERN = "3N1""-""2N1""-""4N") [ Required ]; /// Person's Date of Birth. Property DOB As %Date(POPSPEC = "Date()"); /// Person's City Property CITY As %String; } Run the following command to check the table data after compiling the above class: SELECT ID, CITY, DOB, Name, SSN FROM Demo.Person Now run the following command to populate 20 records: do ##class(Demo.Person).Populate(20) Run the select query again We have created the table and populated it with some data. In the upcoming article, we will review Embedded SQL.Thanks

Hi Community, It's time to announce the winners of the InterSystems FHIR and Digital Health Interoperability Contest! Thanks to all our amazing participants who submitted 11 applications 🔥 Now it's time to announce the winners! Experts Nomination 🥇 1st place and $5,000 go to the FHIRInsight app by @José.Pereira, @henry, @Henrique 🥈 2nd place and $2,500 go to the iris-fhir-bridge app by @Muhammad.Waseem 🥉 3rd place and $1,000 go to the health-gforms app by @Yuri.Gomes 🏅 4th place and $500 go to the fhir-craft app by @Laura.BlázquezGarcía 🏅 5th place and $300 go to the CCD Data Profiler app by @Landon.Minor 🌟 $100 go to the IRIS Interop DevTools app by @Chi.Nguyen-Rettig 🌟 $100 go to the hc-export-editor app by @Eric.Fortenberry 🌟 $100 go to the iris-medbot-guide app by @shan.yue 🌟 $100 go to the Langchain4jFhir app by @ErickKamii 🌟 $100 go to the ollama-ai-iris app by @Oliver.Wilms Community Nomination 🥇 1st place and $1,000 go to the iris-medbot-guide app by @shan.yue 🥈 2nd place and $600 go to the FHIRInsight app by @José.Pereira, @henry, @Henrique 🥉 3rd place and $300 go to the FhirReportGeneration app by @XININGMA 🏅 4th place and $200 go to the iris-fhir-bridge app by @Muhammad.Waseem 🏅 5th place and $100 go to the fhir-craft app by @Laura.BlázquezGarcía Our sincerest congratulations to all the winners! Join the fun next time ;) Thanks for experts nomination award That's amazing!!!!  Congratulations to AAAALLLLL!! 👏👏👏👏👏 Congratulations to all the winners! 👏 Kudos to all the winners! 👏 Congratulations to all participants! It's been a very tough competition!

I need read only access using a JDBC query to the tables that contain the rules data for a particular interface. I'm having difficulty locating the tables that house the rule data and I'm wondering if someone could help me with that information and any sample queries if possible. Thanks in advance! Just to clarify a bit: Are you talking about, for example, HL7 routing rules that are used with the standard business process EnsLib.HL7.MsgRouter.RoutingEngine? What information do you want to retrieve for the rules? Yes, I would like to query the rule structure. Would you mind specify what kind of rule? Edit to add: note that rules are defined as XML, there is no table available to directly query a rule I would like to query all rules. Rules of any kind. As Enrico mentioned, the rule logic is stored as XML in a rule class, so you can't query the logic directly via SQL. You can find the names of all rule classes using SQL:SELECT ID FROM %Dictionary.ClassDefinition where Super='Ens.Rule.Definition' To then view the rule logic you would need to open a class and view the "RuleDefinition" XData block: Class ORU.RouterRoutingRule Extends Ens.Rule.Definition { Parameter RuleAssistClass = "EnsLib.HL7.MsgRouter.RuleAssist"; XData RuleDefinition [ XMLNamespace = "http://www.intersystems.com/rule" ] { <ruleDefinition alias="" context="EnsLib.HL7.MsgRouter.RoutingEngine" production="ADTPKG.FoundationProduction"> <ruleSet name="" effectiveBegin="" effectiveEnd=""> <rule name=""> <when condition="1" comment=""> <send transform="Demo.ORUTransformation" target="ORU.Out"></send> <send transform="Demo.ORUTransformation" target="ORU.Two"></send> </when> </rule> </ruleSet> </ruleDefinition> } } To get the XML rule definition from SQL you can write/define a stored procedure that returns the XML rule definition, then....parse the XML. Something like: Class Community.Rule.XDATA { ClassMethod GetXML(RuleName As %String) As %String(MAXLEN="") [ SqlProc ] { Set xdataOBJ = ##class(%Dictionary.XDataDefinition).IDKEYOpen(RuleName,"RuleDefinition") Quit xdataOBJ.Data.Read($$$MaxLocalLength) } } Then from SQL: select Community_Rule.XDATA_GetXML('Your.Rule.Name')

Hi guys, I am looking for a way to search for FHIR Encounter resources from an InterSystems FHIR server where there period.start is before or after a certain time. I can´t get my head around which would be a correct way to do this since docs and FHIR spec is not clear to me which fields can be used for searching with wich prefixes. In my local InterSystems FHIR server I have a set of Encounter ressources, each set with a period.start and (possibly) a period.end. I´d like to retrieve all Encounters with a start date time prior to a given datetime. I did a little testing with URL parameters.// retrieve encounters with a start prior to 2024-10-25T15:30:00Zhttp://localhost:54107/csp/healthshare/ukerhirservernew/fhir/r4/Encounter?&date=lt2024-10-25T15:30:00Zhttp://localhost:54107/csp/healthshare/ukerhirservernew/fhir/r4/Encounter?period.start=lt2024-10-25T15:30:00Z But none of the calls returned the correct set of encounters I expected. I´am not sure If I get the whole idea of searching for periods wrong or if it has something to do with the way period (datatype) information are stored and indexed within the InterSystems FHIR server. Any idea or hint would be hihgly apreciated. Best regards,sebastian Hello @Sebastian.Thiele As per the documentation, date is fully supported search parameter. so, This should work prefix lt dates I've 2 encounter resource in my FHIR server and I've tested with different dates ex: &date=lt2024-10-27T15:29:00Z period and it works to me Hi Ashok, thank you for the response. This url is the exact same syntax that I used above (possibly my links contracted by the UI and therefore not fully visible). Anyway in my case there is no filtering applied at all and simply all encounters are returned regardless of the date. Could you post your encounter resources he used for testing so I can test if it is a FHIR server version specific issue? best regards,Sebastian Hi @Sebastian.Thiele Here is the Encounter resource. I'm using IRIS for Windows (x86-64) 2024.1.1 url : http://localhost:52773/csp/healthshare/learning/fhir/r4/Encounter?&date=lt2024-10-27T15:29:00Z Spoiler {"resourceType":"Encounter","id":"example-01","meta":{"lastUpdated":"2024-10-27T15:30:00Z","profile":["https://nrces.in/ndhm/fhir/r4/StructureDefinition/Encounter"]},"text":{"status":"generated","div":"<div xmlns=\"http://www.w3.org/1999/xhtml\"> Admitted to Cardiac Unit,UVW Hospital between June 28 and July 9 2020</div>"},"identifier":[{"system":"https://ndhm.in","value":"S100"}],"status":"finished","class":{"system":"http://terminology.hl7.org/CodeSystem/v3-ActCode","code":"IMP","display":"inpatient encounter"},"subject":{"reference":"Patient/example-01"},"period":{"start":"2024-10-29T15:30:00Z","end":"2024-10-29T19:30:00Z"},"hospitalization":{"dischargeDisposition":{"coding":[{"system":"http://terminology.hl7.org/CodeSystem/discharge-disposition","code":"home","display":"Home"}],"text":"Discharged to Home Care"}}} Hi Ashok, seems there is no Encounter resource in your post. Did you missed that? best regards,Sebastian Can you click the Spoiler to view the message. Hi Ashok, sorry for the late response. That get me a little further. The approach of ordering by date seem to work only as long as all of the resources have a period.start and period.end provided. In my scenario the most acutal encounter doesn´t have an period.end set since it has not yet ended. The field period.start of one encounter is the the period.end of it´s predecessor. Can you confirm that behaviour of the FHIR server if no period.end is set? If so what would be your approach? best regards,sebastian I think what you are looking for is... (I have not tried this on the InterSystems FHIR server as I use the Microsoft Azure FHIR server) Search where start date is after a time... /Encounter?date=sa2022-08-15T09:00:00 Search where a start date is before a time /Encounter?date=lt2022-08-15T09:00:00 For me the times I search by are UTC so that might be catching you out?

I am writing to express my interest in the "IRIS Ensemble Integration . I have 2 years of experience as an Ensemble IRIS Developer, working with Ensemble and IRIS for integration, server management, and application development. Looking for more opportunites to work under Iris Cache Objectscript Changed to an annoucement and added Job Wanted tag. Also take a look at Job Opportunity tag offerings. Thankyou @Evgeny.Shvarov Much appreciated

A new release of ZPM has been published 0.5.0 New in this release Added support for Python's requirements.txt file Using tokens for publishing packages Fixed various issues Python's requirements.txt Now, if your project uses Python embedded and requires some Python's dependencies, you can add requirements.txt file to the project, as usual for any Python project, file have to be in the root of a project next to module.xml. And with load command or install command, ZPM will install dependencies from that file with using pip. USER>zpm "install python-faker" [USER|python-faker] Reload START (/usr/irissys/mgr/.modules/USER/python-faker/0.0.2/) [USER|python-faker] requirements.txt START [USER|python-faker] requirements.txt SUCCESS [USER|python-faker] Reload SUCCESS [python-faker] Module object refreshed. [USER|python-faker] Validate START [USER|python-faker] Validate SUCCESS [USER|python-faker] Compile START [USER|python-faker] Compile SUCCESS [USER|python-faker] Activate START [USER|python-faker] Configure START [USER|python-faker] Configure SUCCESS [USER|python-faker] Activate SUCCESS Great feature, @Dmitry.Maslennikov ! Thank you! [USER|python-faker] Reload START (/usr/irissys/mgr/.modules/USER/python-faker/0.0.2/) [USER|python-faker] requirements.txt START [USER|python-faker] requirements.txt SUCCESS Is it possible with -v tag to see what packages were installed? Yeah, sure, -v will show the actual output from pip

After seeing several article raving about how ground-breaking the recent release of ChatGPT is, I thought I would try asking it to help with a Caché newbie question: How do you find the version of InterSystems Caché? To be honest, I was quite surprised at what the chat bot told me: Not going to lie - I was impressed! I tried several other searches with regard to InterSystems IRIS version number and was told to use $zv. I did a google search for part of the answer it gave me and I came up with zero results - this is synthesized information and not just copied and pasted from InterSystems docs (I couldn't find the string in our docs either). What do you want to try asking ChatGPT about technological know-how? 12/11/22 UPDATE: As is clear from the screenshot, I was playing with this on my phone and didn't properly vet the answer on an actual Caché instance. I fell prey to the observation made in the article linked in the comments w.r.r. ChatGPT answers being banned from StackOverflow: "But Open AI also notes that ChatGPT sometimes writes "plausible-sounding but incorrect or nonsensical answers." " So my respect for its technical answers has diminished a bit, but overall I am still rather impressed with the system as a whole and think it is a pretty big leap forward technologically. Thanks for those who chimed in!! To be honest, I was also impressed, but not about ChatGPT rather about the suggested solution! I have no idea, who at ISC wrote this recommendation, but the five clicks on my IRIS-2021.1 end up in NOTHING. On the right-side panel I see 'System Information' but this can't be clicked, below is 'View System Dashboard', here you see everithing, except a version info. So dear ChatGPT, if someone asks you again, the (better) answer is:- login to management portal- click on 'About' (here you see the version and much much more)This works for all IRIS versions (until now) and for all Cache versions which have a Management Portal. For the older (over 20 years) Cache versions right-click on the cube and select 'Config Manager' (on Windows, of course. In that times, I didn't worked on other platforms, hence no advices). For business scenarios will be very useful, for developers is better to use docs, learning, discord and community tools minor convincing example ????? You can't access the class name alone write $system.Version // is just a class name, something like write ##class(SYSTEM.Version) // (hence both lines gives you a syntax error) You have to specify a property or a method. Because $System.Version is an abstract class, you can specify a method only write $system.Version.GetVersion() Hope this clarifies things "Hope this clarifies things" Indeed: ChatGPT has not qualified for me.I'll stay with standard docs and learning. Seems to be kind a controversial topic: Stack Overflow temporarily bans answers from OpenAI's ChatGPT chatbot yup - I saw that this morning as well "I have no idea, who at ISC wrote this recommendation " - this is the whole point ... this wasn't written by anyone at ISC, but is inferred / synthesized / arrived at by the ChatGPT algorithm. I did several google searched on strings from the result I was given and couldn't find this anywhere. So ChatGPT isn't copying content, it is generating it ... albeit incorrectly in this case :) But the way that this IA understands and creates text is impressive, no doubts. I think this is something we'll learn how to deal with our daily tasks. As the zdnet article says, Stack Overflow removes **temporarily**, so it may be a matter of time until we get handed by IA in our development tasks, with services like GitHub copilot. So thank you for bringing this topic to discussion! Oh, this is a misunderstanding. I thought, the screenshot is coming from a (not showed) link, and anticipated the link points to some ISC site.Anyway, ChatGPT and other ChatBots (nowadays, they often pop up on various sites, mainly on those of big companies) tries to mimic a human and often end up only with an reference to FAQs or with a wrong (inappropriate) answer.They all base upon AI (some says: AI=artificial intelligence, others say: AI=absent intelligence). My bottom line is, AI is for some areas already "usable" and for others, it still "will require some more time".

Hi Community, We're pleased to invite you to the upcoming webinar in Spanish called "Validating FHIR profiles with InterSystems IRIS for Health". Date & time: February 2, 3:00 PM CET Speaker: @Ariel.Arias, Sales Engineer, InterSystems Chile The webinar is aimed at developers and entrepreneurs. During the webinar, we will build a FHIR server and repository. We will also add a local profile with its extensions, to validate resources upon that guide. We will do it by using InterSystems IRIS, the IRIS validator (Java), and SUSHI. With all of this, we will have all we need to validate profiles before sending them to a central repository and test the FHIR applications by consuming those resources stored on the InterSystems IRIS for Health's FHIR Repository. ➡️ Register today and enjoy! >> Is the video of the webinar available? calling @Esther.Sanchez ;) Hi @Evgeny.Shvarov! The recording of the webinar is on the Spanish DC YouTube: https://www.youtube.com/watch?v=tCWoOfNcaQ4&t=270s