Prescribing medication that is clinically effective to deliver high quality, safe patient care, but also cost effective, can be time consuming. Having a system that ensures the most appropriate medication is administered will allow you to use your resources more efficiently and effectively.

Our Medicines Optimisation Prescribing Decision Support Systems 3 Framework Agreement delivers market leading point of prescribing decision support (POPDS) products and services that look at the value medicines deliver, ensuring they are both clinically effective and cost effective. It’s built for patient safety and care , ensuring patients get the right choice of medicines, at the right time, which, in turn, improves patient experience.

With this core service in place and operating effectively, Medicine Optimisation Technician’s will be able to focus on clinical work.

Catch-up on our Medicines Optimisation Prescribing Decision Support Systems 3 Customer Webinar

Framework Agreement Information

What dates is the framework agreement active?
08 March 2024 – 07 March 2026
(with the option to extend up to 24 months)

Who can take advantage of the framework agreement?
All NHS and Public Sector Authorities

What does this framework agreement cover?
The framework agreement provides a computerised solution for healthcare professionals, which reduces the occurrence of preventable medication errors.

  • Computerised support to increase the effectiveness, safety and cost effectiveness of prescribing and that works well with TPP SystmOne, EMIS Web or equivalent.
  • Available as a complete off the shelf package system (COTS) with minimal customisation except for the loading of profiles and associated adjustments.
  • Provides clear and concise suggestions of more effective, safer or cost-effective medicines early in the process when a prescriber has begun to prescribe a medicine that is deemed likely to be a suboptimal choice, taking into account relevant national guidance.
  • Enables prescribers to switch easily to the suggested medicine, at an appropriate dose and frequency if the switch suggestion is accepted.
  • Enables efficient management of the profile of switch suggestions and messages displayed, adding and deleting suggestions and messages, deciding whether to switch specific suggestions on or off, and refining the content of messages the system displays to prescribers.
  • Allows the switch profile to be updated centrally and remotely for all user practices (i.e. visits to practices not required).
  • Generates Reports to include:
    • Net savings or increases of prescribing expenditure.
    • Acceptance and rejection rates for individual switch suggestions and for the aggregated total of switch suggestions.
    • Rates of prescribing for formulary and non-formulary medicines.
    • Reasons for prescribers’ rejection of individual switch suggestions where recorded.
  • Training for the use of the available functionality in medicines optimisation available for medicines management teams.
  • Customer support desk.
  • Any other innovative elements.
  • The provision of data and intelligence to inform workflow and workforce. development and planning.
  • The collation and manipulation of data derived from a variety of disparate prescribing and medicine optimisation systems within a geographic area designated by the Authority from Primary Care, Secondary, Tertiary and Mental Health Care.
  • Is scaled up to support an entire population (e.g.: integrated care system level or below).
  • Provides case finding and actionability functionality which enables clinicians / commissioners to identify cohorts of patients to focus on and act within the clinical system to proactively manage such patients.
  • Identifies potential cases of contra-indication ideally with pincer (pharmacist-led information technology intervention for the reduction of clinically important errors in medicines management) alerts for prescribing clinicians and/or pharmacists.
  • Case-finding where an early intervention would mitigate the risk of hospital admission and supports identifying undiagnosed clinical problems.
  • Supporting the identification of geographic hot spots to enable root causes to be identified (e.g., environmental contamination leading to rare conditions).
  • Case-finding by demographic, geographic and condition-specific cohorts (e.g., African heritage females aged over 55 years living in Ambridge with type 2 diabetes or a rare cancer type).
  • The identification of errant patient behaviours (e.g., where dispensing volumes are lower than expected due to patient(s) non-compliance with their doctor’s direction on medication volume or frequency.
  • The identification of care gaps.
  • Enabling the identification of opportunities for the improvement of clinical outcomes.
  • Enabling compliance with national initiatives such as the NHS Right Care approach, the medicine optimisation dashboard, place development and nice guidance on medicine optimisation.
  • Ensuring the use of up-to-date data so information acted on is relevant and safe to aid clinical decision making.
  • Integration within the clinical system to allow access to dynamic patient data. Therefore, no weekly data uploads or exports to spreadsheets, saving time and reducing risk of error. Data is automatically available and refreshed at least daily leaving teams to focus on patient-facing activities.
  • Identifying opportunities for innovation through the application of population management principles.
  • Supporting predictive modelling.
  • Enabling the implementation of evolving NICE guidance, including the repurposing of existing medications as primary and complementary treatments and the use of novel and recently approved medications.
  • Supporting clinical trials both directly and via case-finding.

The framework agreement has been structured in the following lots:

    • Lot 1: Medicine Optimisation System

Offers computerised support which enables prescribers to switch easily to the suggested medicine, at an appropriate dose and frequency if the switch suggested by the solution is accepted by the prescriber (typically a GP or a nurse with a prescribing role). This increases the effectiveness, safety and cost effectiveness of prescribing in general practices.

    • Lot 2: Data Population Health Medicine Optimisation System

Enables organisations to access healthcare decision intelligence tools to make more informed, evidence-based decisions when prescribing medicines by providing them with insights and recommendations based on data and analytics for general practices, hospitals, and community care.

What are the benefits of using this framework agreement?
NHS organisations are able to direct award via this framework agreement.

A rigorous and robust selection process has been led by specialist clinical leads. The evaluation panel comprised of members of the Manchester Health and Care Commissioning Group Medicines Management Team, clinical IT leads & prescribing and pharmaceutical specialists.

Providers are required to provide a robust support system that fully integrates with TPP SystmOne and EMIS Web, or equivalent.

Aims to enhance accuracy, visibility and consistency for healthcare professionals when prescribing, dispensing or administering medication. Supports medicines optimisation and management teams in reducing the occurrence of preventable medication errors in their CCG. Identifies and analyses health behaviours nationally on specific areas and seeks opportunities for the improvement of clinical outcomes.

Supports better and more cost-effective prescribing in primary care. The Kings Fund estimates that standardisation of prescribing practices for certain treatments (e.g. low-cost statins) could save the NHS more than £200 million per year (2007, NAO).

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