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The Soft Information
Systems and Technologies Methodology (SISTeM©):
A Contingency Approach to Integrated Decision Making and Development
Chris Atkinson
Brunel University
UK




SISTeM’s Philosophical
Underpinning
Beyond ‘Hard’ rationalism
& ‘Soft’ interpretivism to:
‘Actor Network Theory
Integrated networks of
humans and non-humans
Bruno Latour & Michelle
Callon

SISTeM - Cycle
2
Overall
Process
Migrating form Cycle 1
Modelling the change and
the process of change
Deciding on the Change
and the process of change
Realising the Change






SISTeM CYCLES 1 &
2
Tools and
Techniques for both Cycles
Relevant Systems and
Schematics
of Relevant Systems
‘A
human/machine system to MANAGE individual Departmental, Speciality and
Locality services, providing care to individual and groups of patients
within the Trust's own, or in other settings.’
‘A clinical human/machine
information system to enhance patient care in the community’

The Stages of the
Soft Systems Methodology
Hybrid Matrix
Models





The Stages of the
Soft Systems Methodology
Conceptual
and Expressive Models
SISTeM
Tools and Techniques
Cycles
1& 2
THE RADIOTHERAPY
PATIENT TREATMENT SLOT ALLOCATION
DECISION
(CYCLE 1), ROOT DEFINTIONS, CATWOE ANALYSIS
Decision:
Radiotherapy machine slot allocation process is required.
Original
Issue
It is increasingly
difficult to carry out the allocation of patients, their assessments
and the degree of urgency for treatment to slots in radiotherapy machines
as a result of an increase in the number of machines, teams and patients
referred.
Relevant
System: A patient treatment, to radiotherapy machine slot
allocation system
Development
Root Definition: Human/Machine Slot Allocation System
A slot management human/machine
activity system owned by the clinical team and operated by slot
manager and IS that apportions a patient, their referral and assessment
to a (series) of slots within radio therapy machines (and their teams)
in line with the treatment sets down by the consultant radiotherapist
and oncologist clinical assessment and degree of urgency.
CATWOE Analysis
Customer(s):
Radiotherapy Teams, Patients, Consultants,GPs, Radiotherapy machines
Hospital and GP information systems
Actors:
Slot Allocation Manager, Slot allocation Information System
Patient,
GP
Transformation:
Patient in need of radiotherapy treatment slot TO
Patients
allocated to radiotherapy machine slots and team for treatment
Worldview:
An efficient slot allocation, in line with assessment and degree of
urgency is an important contributor to patient care and equity in
machine/team resource allocation
Owner:
Slot allocation manager - process, Director IS&T
Environment:
Patients referred, Consultants, GPs, radiotherapy machines, teams

THE RADIOTHERAPY
PATIENT TREATMENT SLOT ALLOCATION PROCESS INFORMATION MACHINE ACTIVITY
1. RECEIVE
a referral of a patient, following a clinical assessment by an Oncologist
and - from within PHT, peripheral clinic or other and Radiotherapy Consultants
decision and treatment.
NOTIFY
Radiotherapy of the referral of Patient X
OPEN
Access to patient referral details and Radiotherapy Consultant's
decision
on treatments.
2 REVIEW
each referral and their clinical requirements in terms of - degree of
urgency, type of treatment and number of treatment slots required, diagnosis,
patient availability, need for further investigations
PROVIDE
Patient personal details, name, address, DOB, sex, age, hospital
number, NHS number, none availability dates for patient
PROVIDE
Name of Oncologist, place, time of assessment,
PROVIDE
Clinical assessment of each patient - diagnosis, site, stage, treatment
pattern and dosage, urgency - radical, palliative, pre-op/other.
RATIFY
Patient/consultant details with PMI
PROVIDE
Details of test and investigations carried out, results, missing
tests.
NOTIFY
Oncologist of test result not received - ACCESS Test results, via
OCS
PROVIDE
Details of currant morbidity state of patient
ACCESS
Patient records, relevant to currant episode of care.
PRESENT
Contract allocation of patient and HRG







Machine Root Definition:
Patient Radiotherapy Machine Slot Allocation Information System
A Radiotherapy
Patient Treatment Slot Allocation Information System, operated by the
slot allocation manager and owned by the Director of Information that
enables the patient to be allocated to slot in the radiotherapy machines
by:
Providing
Information about the patient
Receiving
notification of a referral
Presenting
information about the test and investigations
Present
details of diagnosis, site, fractions required, stage, urgency,
Provide
accrual of referrals on a daily weekly basis
Create
overview of machine slots over next year, and their allocated status
Capture
degree of urgency and details of treatment pattern and type of machine
suitable.
Schedule
of machine availability - slots open/closed
Capture
allocation of machine slots for the fractions required
Notify
patient, GP (or other referee) of times and treatment and capture
confirmation of intention to attend
Download
slot allocations into radiotherapy machine, planner, simulator treatment
Accrue
slots allocated on the matrix for the numbers of fractions prescribed
along with patient details and when these have been undertaken
Process Simulation
Simulation
Slot Allocation Human/machine Activity System

Human Capability Root Definition
: Patient Radiotherapy Machine Slot Allocation Allocation Manager System
A Radiotherapy
Patient Treatment Slot Allocation System, undertaken by the slot allocation
manager and owned Clinical Team that enables the patient to be allocated
to slot in the radiotherapy machines by:
Receive
patient referral
Review
each patient referral
Asses
patient’s treatment needs - care and urgency
Know
the current and future slot usage and availability against each machine
and clinical team.
Allocate
a patient to slots in the machines, reconciling individual patient
treatments needs, the current ongoing patient cohort needs and machine
and team availability
Ratify
patient availability for slots allocated and adjust if required.
Input
ratified patients and their slots into the treatment machines
Ensure
treatment teams appreciate slot allocates and work load and are available
Manage
slot allocation process, and improve its efficiency, efficacy and
effectiveness
Human Psychosocial Root Definition:
Patient Radiotherapy Machine Slot Allocation Allocation Manager System
A Radiotherapy
Patient Treatment Slot Allocation System human cultural system
Empathise
with each patient’s human, care and treatment needs
Appreciate
the utility of the slot allocation information system and ensure its
deployment
Appreciate
professionally significance of clinical diagnosis and treatment by
the consultants
Appreciate
ramifications of the diagnosis for the patient
Appreciate
the ramifications of each allocation for a patient and their family
Seek
for the patient the most efficacious slot allocation and team utilisation
Seek
the most effective and efficient utilisation of machine and radiotherapy
team resources
Diligently
enter slot allocations into the machine and notify teams appropriately
Keep
radiotherapy teams ‘sweet’
Manage
slot allocation process, and improve its efficiency, efficacy and
effectiveness

SISTeM Underpinning
Philosophical Framework
From Hard Rationalism
and
Soft Interpretivism to:
Actor-Network Theory
The Actantial-Relational
Epistemology of Latour and Callon
SISTeM and
Actor Network Theory
ANT within SISTeM in Practice:
SISTeM as a non-human actor translated into a problem-solving
actor network (PSAN) and enacted by it.
SISTeM translates and mobilises other actors in the
PSAN.
SISTeM models based on the human/machine actor network.
Outcome of SISTeM are interventions in or mobilisation
of new organisational actor networks through incorporation.
SISTeM facilitates the traversing by the PSAN and wider
organisational network of obligatory passage points.
The Soft
Information Systems and Technologies Methodology
SISTeM is a methodology that
aims to address issues in areas of psychosocial, informational and technological
concern by activating in the network of people and technologies involved
an integrated action based learning cycle, which is ideally never-ending.
It will enable them to decide
upon, envisage and realise the human/machine changes they have chosen
to address their problem situation.
(Atkinson 1999 after Checkland
1981)
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