Thanks Lars and all staff !
2017-02-01 9:29 GMT+01:00 Lars Helge Øverland <email@example.com>:
DHIS version 2.26 is out with many new features, apps and improvements.
Log in with admin/district on the demo <http://play.dhis2.org/demo/>
Enrollment analytics: Program indicators can now utilize a new aspect of
the analytics engine for program enrollments. This implies that you can
compare data values and dates from different stages and events within the
an enrollment. This allows for calculation of indicators such as “average
inpatient bed days” and “Hemoglobin improvement since first visit”.
Demo <https://play.dhis2.org/demo/dhis-web-pivot/?id=hEduNn6Sk1S> |
Daily relative periods: You can now use daily relative periods in the
analytics apps. This is particularly useful when looking at aggregate event
data through the pivot table app, as you can see daily aggregates of
events, such as today, yesterday, and last 3, 7, 14 days.
Demo 1 <https://play.dhis2.org/demo/dhis-web-pivot/?id=UNNogkdu8Tr> | 2
Data element event clustering in GIS: Using the event layer in the GIS
app, you can now specify which data element or attribute to use as basis
for event analytics and clustering. The data item must be of value type
coordinate. As an example, for a malaria case program, you can have data
elements of type coordinate for place of infection and household location,
and visualize those locations on the map for the malaria cases.
Pivot table cell background coloring: You can now specify whether to
color the cell text or cell background of pivot tables based on legend
sets. This allows e.g. for creating scorecards, where high and low values
easily can be identified. Go to Pivot table > Options > Legend display
Analytics group sub-hierarchy inclusion: Org unit group sets have a new
option for including the sub-hierarchy of organisation units in groups when
aggregating data in analytics apps. This can simplify org unit management
when there are many org units at the bottom of the hierarchy which should
all belong to an org unit higher up in the hierarchy. As an example, you
can create additional hierarchies by grouping all facilities in multiple
districts together in a group, then assign the new groups to an org unit
Demo 1 <https://play.dhis2.org/demo/dhis-web-pivot/?id=W5XngfmkRnr> | 2
> Screenshot 1
> Docs 1
> 2 <https://docs.dhis2.org/master/en/user/html/ch03s03.html#d0e921>
GIS improvements: Labels are positioned smarter on the map to avoid
collisions. Interactivity on boundary layer is disabled when combined with
thematic layer. Automatic color scales for thematic maps can be flipped
(i.e. low to high vs high to low).
Most viewed favorites: The opening screen of the pivot table apps now
displays link to the top 10 most viewed favorites for the current user.
This provides you with quick access to your most relevant data.
Expected reports in analytics: In reporting rate analytics in pivots and
charts, the number of expected reports are always shown even if no
completeness registrations exist.
Analytics performance improvements: Analytics table generation and
analytics queries performance has been significantly improved. Depending on
the system configuration, the improvement is in the range of 20 to 40%.
Better interpretations: The interpretations app has been rewritten and
now provides support for event reports and event charts, using the dynamic
visualization plugins and provides a better commenting solution.
Explicit open periods for data entry: You can now specify explicitly
which periods should be open for data entry per data set. You can also
specify when those periods will be made available for data entry. This is
useful when you need finer control over which periods should be possible to
enter data for and when you need to schedule these periods to become open
at specific times.
Validation notification templates: You can now specify templates for
notifications which are to be sent for data validation violations. The
templates gives you full control over the notification text and supports
variables for injecting the org unit name, period, validation rule and
Event data in validation rules: You can now use program data elements,
tracked entity attributes and program indicators inside validation rules.
Aggregated values from the event analytics engine will be utilized when the
validation rules expressions are evaluated. This allows for combining
routine data and event data in the same validation rule. This is useful
e.g. in order to compare thresholds collected as routine data with disease
cases reported as events. Validation rule management is now available in
the maintenance app.
Translations app: A new app for translation database content in bulk has
been included. This app makes translating lots of metadata much faster as
you can select the object type, then translate all objects from within a
list. Open it from Apps > Translations.
Category combination metadata export: The metadata export with
dependencies now supports export of category combos, which will include all
related category objects. This is useful when exchanging metadata between
Auto-select single options in data entry: In Data Entry app, when the
data set or category selections only have one option, that option will be
automatically selected. This can make data entry more efficient.
Automatic totals in section forms: Section forms can be configured to
display totals for columns and rows in aggregate data entry. Set it up from
maintenance > data sets > sections. Check out the “reproductive health”
data set on demo.
Demo <https://play.dhis2.org/demo/dhis-web-dataentry/index.action> |
Assign message to user: In the Messaging app, a message can now be
assigned to a DHIS 2 user. This allows you to treat messages as support
tickets and assign them to users (agents). Only users part of the “feedback
recipient” user group have access to this feature.
Demo <https://play.dhis2.org/demo/dhis-web-messaging/message.action> |
Age value type: Data elements and attributes supports a new value type
“Age”. This will render as a widget in event / tracker capture apps which
allows for specifying the age in weeks, months or years. The selected input
will be converted to a date of birth. This is useful e.g. to simplify input
of age at point of care.
Google base maps for coordinate picker: When capturing coordinates in
event capture and tracker capture you can now switch between using Google
Maps <https://www.google.com/maps> and OpenStreetMap
<https://www.openstreetmap.org/> as base map.
Hide program stage program rule action: Program rules now support an
action for hiding program stages. This is useful e.g. for disease case
investigations, where various stages are relevant only for certain diseases.
SYSTEM ADMINISTRATION FEATURES
Analytics cache of old data: A new system setting for caching of
analytics data is introduced, where data older than a specified number of
years will be cached. This is useful as you can avoid caching of the latest
data, while older data which never change can be cached.
Public/private analytics cache setting: A new system setting for
controlling whether cached analytics data should be public or private,
meaning whether proxies should be able to cache the content. This is useful
for improving security of sensitive data while still allowing web browsers
to cache the content.
Approval in analytics threshold setting: A system setting which defines
for how many years back in time approval should be relevant is available.
After the specified number of years, the all data becomes available in
analytics even if unapproved. This means data will automatically be
approved and visible after a given number of years, allowing for pruning
the approval table and ensure system performance is not degrading.
Env variables in config: Environment variables are now supported in the
dhis.conf configuration file. This allows for externalizing e.g. database
connection information such as URL, user and password instead of storing it
directly in the config file. This is useful for server administration and
for cloud environments.
User account lockout: The system now supports locking user account for 15
minutes after five successive failed login attempts. This is useful to
prevent brute-force authentication attacks.
Configurable session timeout: The session timeout can now be configured
from the dhis.conf configuration file. This is useful to comply with
specific security regulations.
WEB API FEATURES
Analytics raw data: A new resource for retrieving analytical data without
aggregation is introduced at /api/analytics/rawData. This resource lets
you retrieve raw data denormalized across any data dimension. This is
useful when integrating third-party BI / analytics tools, as you will get
data values with all data dimensions “flattened out” without any
pre-aggregation, allowing the external tool to perform the aggregation and
Pre-aggregation measures in analytics: The analytics API lets you specify
measure criteria to be applied before data aggregation takes place. This
allows for better filtering of data before aggregating.
Filter operators in SQL views: You can now use the fields filtering
syntax known from the metadata API on SQL views. This allows you to fetch
only the fields (columns) you are interested in from large SQL views.
Prune data element: Data elements with corresponding data and audit
values can be pruned using the /api/maintenance/dataPruning resource.
Data set completeness exchange: The API resource for import and export of
data set completeness records has been rewritten and is now a lot more
scalable and supports more features for controlling what to exchange.
Soft event delete: Events are now deleted “softly”, meaning marked as
deleted instead of being removed in the database. The events resource can
include deleted events in the response, allowing clients to handle events
which have been deleted on the server.
Get the release here:
You will find documentation and Javadocs here:
You can read the upgrade notes and find upgrade script here:
The details about each feature on JIRA here:
You can find the source code on Github here:
The demo instance can be found here:
Instructions for signing up for the DHIS 2 mailing lists here:
Enjoy the new release.
the DHIS 2 development team
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