Mitigating the Barriers

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Tooling

Recommended approaches to tooling
4
Title
Mitigation type
Implementation
Strategy description
Tim's comments
Technical effort
Pointer to Tech Doc
Stakeholder Effort
Existing case study
Benefits
Measure of progress
1
Frontline worker review / rating approach
Tooling
ODI supporting local
Almost all SPLW interviewed expressed nervousness about recommending anything that they have not visited. There is a recognition that additional information that can be included within OA may partially address this. There is a potential solution where feedback from visits from “peer frontline professionals” will normally provide adequate confidence for a referral to be made.
Currently this often happens informally within individual teams but the strategy here is to widen this peer network of trust such that if a fellow frontline worker (perhaps at ICP level) has given the ok, then they won’t need to check it out themselves. The recommendation is to explore this a bit further to identify a professional rating system that
@AcP
could use to provide confidence to
@SPLW
. A small set of national pilots could define and trial the model to capture the impact in terms of improved productivity and increased numbers of referrals.
Technically it is not possible to add a professional rating to the OA data as this comes from the frontline rather than the activity providers. A suggested tooling would be to provide an API for SP Application Providers to read and write a professional rating to a provider/activity using a UUID for provider and the activity combined.
FW - Provide and read reviews from other frontline workers.
Improves confidence in the data
2
Sufficiency & demand
Tooling
ODI supporting market
As take up becomes fairly mature, then the resulting open datasets will provide evidence of sufficiency and demand which would support managers and commissioners in spending budgets to provide local support. This in turn is useful information for the
@AcP
to meet the demand and of course the ApP to provide the software tools.
This strategy suggests that some form of management information dashboard might allow a local understanding of what the current situation is and provide evidence to move things forward be you a manager or Activity provider or Application provider.
Left to innovators
For innovators
Builds critical mass
3
Richness checker
Tooling
ODI technical
It is recognised that the quality of the data will be mixed. Various amounts of effort will be put into data entry according to the business case for that organisation. If the strategy of
@Social-Prescribing-Ready Profile
is accepted then the ability to check that an Activity has completed all that data would be useful.
This strategy suggests that a richness checker tool be made available so that ApP can surface the
@AcP
that have made the effort to meet the SP ready profile. This tool could be commissioned / commissioned by ODI and made available to ApP at a subsidised rate to incentivise adoption.
For innovators
Improves data quality and richness
4
Completeness checker
Tooling
ODI technical
If
@SPLW
are recommending that they would like certain fields completed before a referral will be made then as in
@Social-Prescribing-Ready Profile
strategy then the
@AcP
would benefit from being informed of where their current entries fall short.
This strategy suggests that an automated completeness tool would encourage and support an AcP entering the data to give them every chance of receiving a referral. This should also increase the quality of the data. This tool could be commissioned / developed by ODI and made available to ApP at a subsidised rate to incentivise adoption.
For innovators
Improves data quality and richness
5
Language translator
Tooling
ODI technical
It has been pointed out that whilst SPLW tend to deal with language barriers in their own ways, it would be useful if the text available from OpenActive could be available in different languages. Effectively this should be left to innovators and wouldn’t be expected to be part of the OpenActive data set. Lancashire and South Cumbria are progressing with a pilot based on Open Referral Service unique IDs but this could be reused for OpenActive.
M, FW - encourage people to translate text For innovators
6
Curation
Tooling
ODI working collaboratively at national level
It is generally accepted that the OA data set is not adequate for a number of data consumer’s usage. This creates a demand for a commercial curation service. Currently there is only one commercial service. This commercial service is generally well received and provides value for money. However, due to the need for this service it does create a dependency risk which may put off some organisations and will put all at risk of price increases they might have to accept. This strategy suggests some consideration of encouraging other commercial offerings to create some competition in the market and provide some fall back if any one organisation should close for whatever reason. Another alternative might be to work with the single commercial offering to provide some form of franchise across the areas of the country. Perhaps in similar way to the telecommunication and utility supply companies. This will help with the risk of scale if OA takes off and requires curation then this single supplier may struggle to scale.
For innovators
Improves confidence in the data
7
OA feed and API
Tooling
ODI working collaboratively at national level
The technical review has found that it is quite difficult for a developer to consume data from the RDPE feed. More than one ApP commented that their only real option was to use the ‘Imin’ API. It is recommended to improve the guidance material and provide more support to enable consumption of the Feed but also to develop a standard REST API definition that could consume the feed(s) and present another consuming means for developers to make use of.
ODI to consider recommendations
Easier for developer to publish or consume OA data
8
Converting data to and from OA and OR
Tooling
ODI working collaboratively at national level
Alongside the range of projects that are looking to position OA as a potentially valuable asset in the SPLW world, there is a similar parallel set of initiatives that are recommending adoption of the Open Referral UK data standard . This work is led by .
A comparison of the data fields of the two standards has been carried out . An attempt has also been made to convert OA data to OR format and technical considerations have been carried out to allow the conversation from OR to OA.
This strategy suggests that an alternative to bringing the standards together through
@OR and OA roadmaps
, might be to provide the ability for converting data to and from each standard. This will give an amount of flexibility to the market to make sense of the open data collected and provide aggregated views as appropriate to the frontline.
ODI to consider recommendations
Easier for developer to publish or consume OA data
9
Social-Prescribing-Ready Profile
Tooling
ODI working collaboratively at national level
There are a number of additional fields of information that it is recommended will increase the likelihood that patients take-up a referral to take up an identified physical activity. These in essence provide additional information to address potential concerns that may be relevant to SPLW patients. It is recognised that this will create a data burden for some activity providers and hence populating this set of information should be clearly signposted (within the chosen OA compliant software packages) as only relevant only for activity providers willing to welcome SPLW patients into their sessions.
There are also existing OA data fields that will be important but are at risk of low data quality and these should also make up the SP ready profile.
These SP ready fields are included here
This would then be used by the
@Richness checker
to only view activities that have completed those fields and
@Completeness checker
to inform the data provider that they need to complete further fields if they want to receive a referral from a social prescribing system.
ApP - make use of the richness and completeness checkers
Improves data quality and richness
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