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Contents contributed and discussions participated by Sonia Duarte

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Clinical Service Accreditation - HQIP - 0 views

www.hqip.org.uk/...editation-of-clinical-services
shared by Sonia Duarte on 16 Jun 20 - No Cached
  • CSA provides this quality improvement framework in three main ways: by supporting clinical services to develop new accreditation schemes by supporting existing clinical services accreditation schemes to attain professionally-led standards by demonstrating the impact of accreditation in achieving high quality clinical services
  • HQIP (on behalf of the Clinical Service Accreditation Sponsor Gorup), BSI and the United Kingdom Accreditation Service (UKAS) share a common purpose in improving the quality of healthcare services through standards and accreditation.
  • These resources provide professional bodies, CEOs, managers and clinical leaders with a framework for setting up and managing clinical accreditation schemes.
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  • Development of standards for clinical service accreditation schemes Sharing and improving accreditation methodologies How to map clinical services into groupings for the development of accreditation schemes PAS 1616  – A generic framework of standards for accrediting clinical services from the British Standards Institute  Information management, data, and systems Support for development of accreditation schemes
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Our services | BSI - 0 views

www.bsigroup.com/...our-services Health Build-Trust
shared by Sonia Duarte on 15 Jun 20 - No Cached
  • Sonia Duarte on 15 Jun 20
     
    "BSI certification shows the world that you work in the smartest, most efficient ways and that you are continually improving your performance."
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Financials and leadership - Wikimedia Foundation - 0 views

wikimediafoundation.org/...financials-leadership Data-Institution
shared by Sonia Duarte on 27 May 20 - No Cached
  • 40% Direct support to websites
  • ongoing engineering improvements, product development, design and research, and legal support.
  • 34% Direct support to communities
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  • strengthen these communities through grants, programs, events, trainings, partnerships, tools to augment contributor capacity, and support for the legal defense of editors.
  • 12% Fundraising
  • Wikimedia is supported entirely by donations.
  • 14% Administration and governance
  • We manage funds and resources responsibly to recruit and support skilled, passionate staff
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How have National Statistical Institutes improved quality in the last 25 years? - IOS P... - 0 views

content.iospress.com/...sji170362 Data-Institution Statistical-Agencies
shared by Sonia Duarte on 21 May 20 - No Cached
  • There are still major efforts needed to continuously improve. More focus needs to be put on measuring internal processes, costs, and components of quality other than accuracy. Documentation needs to be regularly updated, methods for incorporating Big Data developed, and flexibility improved so that adaptive methods based on paradata can be used.
  • it takes regular management involvement and procedures to be in place for it to succeed
  • Measurements are vital, but they are not the goal. This will require re-focusing on improving internal processes. It also implies recognizing the need to track costs as a component of quality.
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  • While it will continue to be important for NSIs to increase their use of administrative data and the many sources of Big Data, these will rarely be able to be used as stand-alone sources. More often these sources will need to be combined with well-designed survey data to produce a blended, improved product.
  • Sonia Duarte on 21 May 20
     
    "Principles and Practices for a Federal Statistical Agency"
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How do different communities create unique identifiers? - Lost Boy - 0 views

blog.ldodds.com/...ties-create-unique-identifiers
shared by Sonia Duarte on 21 May 20 - No Cached
  • They play an important role, helping to publish, structure and link together data.
  • The simplest way to generate identifiers is by a serial number.
  • the Ordnance Survey TOID identifier is a serial number that looks like this: osgb1000006032892. UPRNs are similar.
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  • Some serial numbering systems include built in error-checking to deal with copying errors, using a check digit.
  • The second way of providing unique identifiers is using a name or code.
  • These are typically still assigned by a central authority, sometimes known as a registration agency, but they are constructed in different ways.
  • Encoding information about geography and hierarchy within codes can be useful. It can make them easier to validate.
  • It also mean you can also manipulate them,
  • But encoding lots of information in identifiers also has its downsides. The main one being dealing with changes to administrative areas that mean the hierarchy has changed. Do you reassign all the identifiers?
  • some identifier systems look at reducing the burden on that central authority.
  • federated assignment. This is where the registration agency shares the work of assigning identifiers with other organisations.
  • Another approach to reducing dependence on, and coordination with a single registration agency, is to use what I’ll call “local assignment“.
  • A simplistic approach to local assignment is “block allocation“: handing out blocks of pregenerated identifiers to organisations which can locally assign them.
  • Here the registration agency still generates the identifiers, but the assignment of identifier to “thing” is done locally.
  • A more common approach is to use “prefix allocation“. In this approach the registration agency assigns individual organisations a prefix within the identifier system.
  • One challenge with prefix allocation is ensuring that the rules for locally assigned suffixes work in every context where the identifier needs to appear.
  • In distributed assignment of identifiers, anyone can create an identifier. Rather than requesting an identifier, or a prefix from a registration agency, these systems operate by agreeing rules for how unique identifiers can be constructed.
  • A hash based identifier takes some properties of the thing we want to identify and then use that to construct an identifier. 
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UKSA-Business-Plan-April-2019-to-March-2022.pdf - 3 views

diigo.com/0hkaik Statistical-Agencies ONS Data-Institution
shared by Sonia Duarte on 14 May 20 - No Cached
  • At this point in time the forecasts for the years beyond 2019/20 are under consideration as we continue to develop our future strategy and bid for the forthcoming Spending Review (2019). As stated previously in the plan 2019/20 is a key year for us in securing the funding required to achieve our ambitions.
  • we will have met our agreed financial targets as part of Spending Review (2015). We also remain broadly on track to deliver our target level of efficiencies over the Spending Review period as indicated in Figure 2 below.
  • Modernising Corporate Support (Efficient) Improving our oversight • Progress with corporate systems improvement projects – milestones in the delivery of automation, workforce planning, improvements to systems controls (new). Delivering value from our resources • Meeting our financial delegations – Budget/forecast accuracy. • Delivering our agreed benefits – Census benefits and ESTP benefits – track of deliveries (new). • Delivering our agreed efficiencies – over the SR15 period.
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  • we are nearing the Census delivery date in 2021 with the funding required for Census and Data Collection Transformation activities increasing significantly over the next three financial years.
  • Table 1: High level Authority funding position 2019/20 – based on the Main Supply Estimate agreement with HM Treasury Funding Stream £’m2018/19 2019/20 Variance Resource SR15 Baseline164.85 156.95 (7.89) Income funded24.26 26.60 2.34 Census and Data Collection Transformation94.00 104.00 10.00 Bean HMT Contribution4.00 9.00 5.00 Trade Statistics-2.40 2.40 Pension -4.20 4.20 Budget Cover Transfers0.50 (0.22) (0.72) Subtotal Resource2 8 7.61 302.93 15.33 Capital 13.43 7. 0 0 (6.43) Depreciation 2 3 .10 21.30 (1.80) Income Target24.26 26.60 2.34 Annually Managed Expenditure (AME) (0.84)(1.00)(0.16)
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