Big Data and Health and Social Care

Example Risk Assessors
Example Risk Assessors

Big Data offers great potential for mining data across different domains, in order to develop risk assessors which can effectively determine the onset on illness, and put in-place care plans. One of the risk assessors that we are working on is the Frailty index where

  • Socioeconomic factors play an increasing role in environmental stressors and frailty.
  • Mortality considered as major route to “exit” from frailty.

Unfortunately, frailty is often considered as purely a “Geriatric Condition” in most research, but in many cases it is an indicate of ill health approaching. An improved definition of Frailty Syndrome is “Deficit Accumulation”.

There have been several phases of risk assessment for Frailty:

Intervention
Intervention

First Generation.

  • These were standalone scales designed to measure a single construct for a single purpose.
  • Barthel Index for Activities of Daily Living.
Second Generation
  • These were multidimensional instruments that address many clinical domains with applicability in many settings.
  • Clifton Assessment Procedures for the Elderly (CAPE).
Third Generation
  • These extend the concept of second generation tools to multiple care settings, and they  provide assessment processes that can be used across different populations and care setting.
Currently the interRAI suite of assessment instruments is the only example of a third generation assessment, and includes:
  • A. Patient ID Information
  • B. Intake & Initial History
  • C. Assessment Dates
  • D. Cognition
  • E. Communication and Vision
  • F. Mood & Behavior
  • G. Functional Status
  • H. Continence
  • I. Disease Diagnoses
  • J. Health Conditions
  • K. Oral & Nutritional Status
  • L. Skin Condition
  • M. Medications
  • N. Treatments & Procedures
  • O. Responsibility & Directives
  • P. Discharge Potential
  • R. Assessment Information

Symposium

If you are interested, we are hosting an event to investigate how data can be used to improve health care:

http://bigdatahealth.eventbrite.co.uk/

As we move into an information age there are many opportunities to share and integrate data from many different sources, in order to provide holistic care. A key focus of this is the provision of pre-emptive diagnosis, which aims to predict illness and put in place care plans to improve the provision of health and social care. This Symposium looks at the methods which could be used to effectively use data to improve care, while protecting the rights of the citizen.

The aim of the event is to investigate methods of using data and risk assessors for improvements in health and social care. Overall the key areas covered include:

  • Analysis methods for Big Data related to health and social care.
  • Risk Assessors for pre-emptive detection of illnesses.
  • Next Generation e-Health Infrastructures, which are scaleable, robust and secure.
  • Patient Centric Approaches.
  • Body-area networks.
  • Security Infrastructures for Health Care, and cross-domain information sharing.
  • Assisted Living Infrastructures and their links to formal health care.
  • Integration of Primary and Secondary Health Care with Assisted Living.
  • Sensor infrastructures, patient identification, and assisted living.
  • Creation of collaborative infrastructures and knowledge exchange.

The Symposium will be on the Merchiston Campus, Edinburgh Napier University. Presenters include:

  • Prof Derek Bell (Professor of Acute Medicine, Imperial College, London),
  • Dr Claudia Pagliari (University of Edinburgh).
  • Tim Benson, Sitekit.

We also intend to present the results from a major study into attitudes on access to Electronic Patient Records.

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