In the move towards value-based care,
digitally maturing healthcare systems can integrate AI to generate high quality
data to personalise and integrate care, and even predict and prevent disease.
As the NHS evolves, many trusts are
developing into digitally mature systems, shifting away from the
paper-dominated organisations they once were.
With the implementation of electronic
health records (EHRs), it has become possible to deliver deeper insights into
patient illness status, often in real time.
This, in turn, facilitates prediction and
prevention of diseases; as well as development of patient-specific care pathways,
enabling a move from a disease-oriented approach to care to a more
patient-centric model.
MANAGING THE PATIENT BACKLOG
With considerable pressure to develop
workflow processes to manage the 10 million plus patient backlog, many NHS
trusts are seeking to leverage technology to increase efficiencies.
Clinical staff often face the overwhelming
challenge of documenting each patient encounter as the number of patients
requiring treatment increases.
3M Health Information (HIS) has developed
and delivered its 3M M*Modal speech recognition solutions to support the NHS in
development of workflow processes that simplify clinicians’ documentation.
These solutions capture conversations
between clinical staff and patients and automatically populate the EHR. They
also generate real-time, patient centric contextual queries required for
accurate coding of the encounter.
Codified data is used for case mix
analysis, local, national and international benchmarking, population health
management, disease outcomes as well as reimbursement. Ensuring the integrity
and completeness of this data quality is high on the NHS agenda.
With the introduction of Integrated Care
Systems (ICSs), aggregated regional data sets can deliver insight to determine
requirements, availability, and efficiency of resources, inform patient
pathways and develop patient prioritisation models to tackle the current
backlog - all underpinned by accurate source information.
IMPROVING PATIENT OUTCOMES
As the expectation of high-quality care
increases, there is an immediate necessity to automate and analyse data to
drive better patient outcomes.
3M HIS is integrating artificial
intelligence (AI) and natural language understanding into its encoder solutions
to analyse EHR source documents, extract the relevant clinical terminology
language (SNOMED) and automatically map it into classification codes (ICD and
OPCS) to present to the clinical coding teams for validation.
This process revolutionises the
historically paper-dependent process, enabling it to be fully automated; from
clinical input and mapping to relevant codes, therefore significantly reducing
the burden on clinical and operational staff.
THE EVOLUTION OF HEALTHCARE
The challenges of the COVID-19 pandemic
have required technology adoption to deliver efficiency.
3M HIS has been a part of this evolution,
helping healthcare organisations around the world anticipate and navigate the
changing healthcare landscape.
For more than 30 years, 3M HIS has
collaborated with the NHS, providing 3M Medicode/Medicode 360 Encoder solutions
alongside real-time analytics and consultancy services to more than 120 NHS
trusts.
Data may be known as the “new oil”, but one
significant difference remains: the more that data is used, the more valuable
it becomes.
