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 Copyright  2007 The Open University WEB 94418 4 1.1 M359 Hospital domain of discourse summary This document can be used if you are unsure of the background to the Hospital scenario being developed during the course. It is not referenced explicitly in the

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مُساهمةموضوع: Copyright  2007 The Open University WEB 94418 4 1.1 M359 Hospital domain of discourse summary This document can be used if you are unsure of the background to the Hospital scenario being developed during the course. It is not referenced explicitly in the   الأربعاء أبريل 06, 2016 5:02 pm

Copyright  2007 The Open University WEB 94418 4
1.1
M359 Hospital domain of discourse summary
This document can be used if you are unsure of the background to the Hospital
scenario being developed during the course. It is not referenced explicitly in the
course material, but might help clarify any confusion you have regarding the domain
of discourse. It should be read in conjunction with the Hospital scenario.
This summary is a record of some of the important details regarding this scenario. If
these details had been included in the scenario description they would have
obscured the core information being communicated. Some of the details given here
would be part of the general knowledge that anyone could be expected to bring to
this scenario. Other details are specific to this domain of discourse, and a data
analyst would uncover and document this specialist information as part of the analysis
process. It is not a complete description – documenting an entire domain of discourse
is not possible. In addition, it is expected that a reader might disagree with the ‘reality’
being summarised here. However, during the development of the database, it is
important that any disagreements relating to the meaning within the domain of
discourse are identified, documented and resolved.
In effect, this summary would be part of the working documents that the analyst would
develop during the refinement of the conceptual data model and their exploration of
the stakeholders’ requirements. In documenting the analysis leading to the
conceptual data model, the design of the database and its implementation, the
information in this summary would form part of the data dictionary used throughout the
development life cycle.
This summary is in the form of an Entity type catalogue and a Relationship catalogue;
sample sets of data that are to be recorded in the database, which are developed to
meet the stakeholders’ requirements, are included. You will be taught how to interpret
the relationship occurrence diagram notation used in this document in Block 1 of the
course material.
Entity type catalogue
Name: Ward.
Description: This is a representation of the properties of a hospital ward in the
hospital. Each occurrence represents a different ward.
Attribute
details:
A ward has a unique name and an identifying ward number. The
hospital allocates ward numbers in the range w1 to w9
(consequently, limiting the hospital to a maximum of nine wards).
Ward names are character strings. Currently, they appear to use
regions of the British Isles but this may change. Every ward has at
least one bed and there are no wards that have more than 50 beds.
Sample data: Ward.
WardNo WardName NumberofBeds
w2 Wessex 8
w3 Anglia 10
w4 Lakes 8
w5 Dales 6
w7 Pennines 14
2
Name: Patient.
Description: This represents the properties common to those persons who are
patients in the hospital. Each occurrence represents a different
patient and includes their name.
Attribute
details:
A patient is issued an identification number when they are admitted
to the hospital. The hospital uses patient identifiers in the range
p01 to p99 (consequently, this hospital is limited to a maximum of
99 patients). The patient’s surname is recorded, and it is not used
to identify a patient. A patient’s gender is recorded as either F for
female or M for male. Their height is recorded in centimetres to the
nearest millimetre, and their weight in kilograms, recorded to the
nearest 1/10 of a kilogram.
Sample data: Patient.
PatientId PatientName Gender Height Weight
p01 Thornton F 162.3 71.6
p07 Tennent M 176.8 70.9
p08 James M 167.9 70.5
p09 Kay F 164.7 53.2
p15 Harris M 180.6 64.3
p31 Rubinstein F 155.6 70.1
p37 Boswell F 172.9 52.6
p38 Ming M 186.3 85.4
p39 Maher F 161.9 73.0
p68 Monroe F 165.0 62.6
p71 Harris M 186.3 76.7
p78 Hunt M 179.9 74.3
p79 Dixon F 163.9 56.5
p80 Bell F 171.3 49.2
p87 Reed F 160.0 59.1
p88 Boswell M 168.4 91.4
p89 Jarvis F 172.9 53.4
3
Name: Nurse.
Description: This represents the properties common to those people who are
nurses in the hospital. Each occurrence represents a different
nurse and includes the nurse’s name.
Attribute
details:
A nurse is allocated an identifying staff number by the hospital.
Each staff number consists of three digits (from 001 to 999). No
nurse can have the same staff number as a doctor. The nurse’s
surname is recorded, and it is not used to identify a specific nurse.
Sample data: Nurse.
StaffNo NurseName
113 Hutt
126 Sesonske
362 Colman
153 Cooke
192 Wilkie
206 Reay
424 Cooke
523 Descartes
838 Brown
789 Warnock
834 Boswell
823 Wright
Name: Team.
Description: This represents the properties of a collection of doctors. Each
occurrence represents a different team and includes the telephone
number for contacting that team.
Attribute
details:
A team is identified by a team code in the range t01 to t99. Each
team has a dedicated answerphone service accessible via the
internal hospital telephone system, which uses 4-digit numbers.
Sample data: Team.
TeamCode TelephoneNumber
t04 4382
t17 8173
t29 3492
4
Name: Doctor.
Description: This represents the properties of doctors. Each occurrence
represents a different doctor; it includes their name and position.
Attribute
details:
A doctor is allocated an identifying staff number by the hospital.
Each staff number consists of three digits (from 001 to 999). No
doctor has the same staff number as any of the nurses. The
doctor’s surname is recorded, and it is not used to identify a
specific doctor. Each doctor has a position (or grade) which is
limited to that of a consultant, registrar or house doctor. Registrars
and house doctors are sometimes known as junior doctors. Junior
doctors and consultants have roles and responsibilities in the
hospital.
Sample data: Doctor.
StaffNo DoctorName Position
110 Liversage Consultant
131 Kalsi Consultant
156 Hollis Registrar
174 Gibson Registrar
178 Paxton Registrar
200 Tamblin Consultant
389 Wright House Officer
462 Bell House Officer
493 Rampton House Officer
517 Goss Registrar
603 Nolan House Officer
Name: Specialist.
Description: This represents the properties of doctors who have specialisms.
Each occurrence represents a different specialist and includes
their specialism. Specialist is a weak entity type.
Attribute
details:
A specialist is a consultant doctor who has a named medical
specialism. At present the hospital limits the specialisms of its
consultants to Cardiac, Paediatric or Orthopaedic.
Sample data: Specialist
StaffNo Specialism
110 Cardiac
131 Orthopaedic
200 Paediatric
5
Name: Treatment.
Description: This contains details of the treatment given by a doctor to a patient.
Each occurrence represents a different treatment given by a doctor
to a patient, the date the treatment started and the reason for that
treatment to be given. Treatment is a weak entity type.
Attribute
details:
A treatment is identified by the doctor and patient involved in the
treatment and the date on which the treatment started. (Note that
this does not allow records for the same patient to be treated more
than once by the same doctor on the same date.) The reason for
treatment is recorded by giving the condition that the treatment is
intended to address as described by the doctor treating the
patient. The hospital does not record the end date for a treatment
(which seems like a strange omission, but they probably have their
reasons).
Sample data: Treatment.
StaffNo PatientId StartDate Reason
131 p07 9/2/2007 marrow infection
462 p08 3/2/2007 high temperature
156 p09 1/1/2007 low temperature
156 p15 5/2/2007 low temperature
389 p31 9/1/2007 pain relief
517 p37 5/12/2006 pain relief
462 p38 27/12/2006 inflamed joints
603 p38 1/1/2007 low temperature
603 p38 1/2/2007 pain relief
200 p39 11/3/2006 septicaemia
603 p39 1/1/2007 high grade fever
110 p68 11/1/2007 vomiting
603 p88 29/12/2006 high grade fever
178 p89 23/12/2006 pain relief
389 p98 5/2/2007 inflamed joints
6
Name: Drug.
Description: This represents the properties of a drug used by the hospital. Each
occurrence represents a different drug; it includes the name of the
drug, the type of drug and its price.
Attribute
details:
The hospital uses an internal code to identify each drug. Each drug
is given a 3-character identifier with the first character in the range
A to Z, followed by two digits (e.g. A00 to Z99). The drug is
recorded as being of a certain type or category of drug. Both the
drug name and the drug type are strings. The unit price of the drug
is recorded in pounds and pence. The upper limit of the unit price
is £999.99.
Sample data: Drug.
DrugCode DrugName Type Price
P02 Agonese Painkiller 0.02
P27 Acheaway Painkiller 0.06
P51 Capillucanis Painkiller 0.04
P73 Dolensol Painkiller 0.10
B23 Scalagamene Antibiotic 1.05
B48 Oculustriturol Antibiotic 0.95
B63 Hallexanuran Antibiotic 1.01
F28 Disagaric Antifungal 0.42
F29 Cambogia Antifungal 0.45
S38 Dormito Sedative 0.18
S90 Soporatex Sedative 0.21
X01 Placebo Placebo 0.01
7
Name: Prescription.
Description: This records the issue of a prescription. Each occurrence
represents a different prescription form, which gives details of the
daily dosage and total amount prescribed.
Attribute
details:
The hospital issues a unique number to the prescription each time
a drug is given for a treatment. The prescription numbers are in the
range P0001 to P9999. The prescription records the number of
units of the drug prescribed (in the range 1 to 150) and the daily
dosage of that drug (in the range 1 to 20) to be taken.
Sample data: Prescription.
PrescriptionNo Quantity DailyDosage
P0328 120 4
P0001 56 8
P0101 100 20
P2121 48 3
P2113 48 4
P8123 28 2
P3472 80 4
P4231 10 1
P8734 14 1
P0005 30 2
P0234 112 8
P3465 21 3
P3342 24 3
8
Relationship catalogue
Name: ConsistsOf (conversely, is a member of).
Description: A team consists of doctors.
Reading: Each team consists of one or more doctors.
Each doctor is a member of zero or one team.
Additional
information:
ConsistsOf and HeadedBy are exclusive relationships with
respect to the doctor.
A consultant cannot be a member of a team. All other doctors must
be members of a team.
Sample
relationship
occurrences:
Figure 1
Team Doctor
TeamCode
ConsistsOf
StaffNo
156
t04 178
174
t17 389
462
493
t29 517
603
Name: HeadedBy (conversely, is head of).
Description: A team has a doctor who is in charge of that team.
Reading: Each team is headed by exactly one doctor.
Each doctor is the head of zero or one team.
Additional
information:
ConsistsOf and HeadedBy are exclusive relationships with
respect to the doctor.
Each consultant must be the head of a team. Other doctors cannot
be the head of a team.
Sample
relationship
occurrences:
Team Doctor
TeamCode
HeadedBy
StaffNo
t04 110
t17 131
t29 200
Figure 2
9
Name: OccupiedBy (conversely, is assigned to).
Description: A ward is occupied by patients.
Reading: Each ward is occupied by zero, one or more patients.
Each patient is assigned to exactly one ward.
Sample
relationship
occurrences:
Figure 3
Ward Patient
OccupiedBy
PatientId
w2 w3 w4 w5 p79
p89
p98
Ward
WardNo
w2
w3
w4
w5
OccupiedBy
Patient
PatientId
p01
p15
p31
p38
p71
p80
p07
p37
p78
p87
p08
p68
p88
p09
p39
p79
p89
p98
10
Name: IsA.
Description: A specialist is a doctor.
Reading: Each specialist is exactly one doctor.
Each doctor is zero or one specialist.
Additional
Information:
All consultant doctors are specialists. Other doctors cannot be
specialists.
Sample
relationship
occurrences:
Figure 4
Name: StaffedBy (conversely, is allocated to).
Description: A ward is staffed by nurses.
Reading: Each ward is staffed by one or more nurses.
Each nurse staffs exactly one ward.
Sample
relationship
occurrences:
Figure 5
Doctor Specialist
StaffNo
IsA
StaffNo
110 110
131 131
200 200
Ward Nurse
WardNo
StaffedBy
StaffNo
113
w2 206
126
w3 424
834
823
192
w4 523
362
w5 838
153
w7 789
11
Name: Supervises (the relevant roles are supervisor and supervisee).
Description: A nurse can be the supervisor of other nurses.
Reading: Each nurse is the supervisor of zero, one or more nurses.
Each nurse is supervised by zero or one nurse.
Sample
relationship
occurrences:
Figure 6
Nurse
(supervisor)
Nurse
(supervisee)
StaffNo
Supervises
StaffNo
838 362
523 192
113 206
126 424
834
153 789
834 823
12
Name: IsResponsibleFor (conversely, is under the care of).
Description: A doctor is responsible for the care of patients.
Reading: Each doctor is responsible for zero, one or more patients.
Each patient is under the care of exactly one doctor.
Additional
information:
Only consultants can be involved in the IsResponsibleFor
relationship.
Sample
relationship
occurrences:
Doctor Patient
StaffNo
IsResponsibleFor
PatientId
p01
p09
p15
110 p68
p78
p80
p89
p07
p31
131 p71
p79
p87
p98
p08
p37
200 p38
p39
p88
Figure 7
13
Name: Provides (conversely, is provided by).
Description: A doctor provides treatments to patients.
Reading: Each doctor provides zero, one or more treatments.
Each treatment is provided by exactly one doctor.
Sample
relationship
occurrences:
Doctor Treatment
StaffNo
Provides
StaffNo PatientId StartDate
110 110 p68 11/1/2007
131 131 p07 9/2/2007
156 156 p09 1/1/2007
156 p15 2/5/2007
178 178 p89 23/12/2006
200 200 p39 11/3/2006
389 389 p31 9/1/2007
389 p98 5/2/2007
462 462 p08 3/2/2007
462 p38 27/12/2006
517 517 p37 5/12/2006
603 p38 1/1/2007
603 p38 1/2/2007
603 603 p39 1/1/2007
603 p88 29/12/2006
Figure 8
14
Name: Receives (conversely, is given).
Description: A patient receives treatments from doctors.
Reading: Each patient receives zero, one or more treatments.
Each treatment is given to exactly one patient.
Sample
relationship
occurrences:
Patient Treatment
PatientId
Receives
StaffNo PatientId StartDate
p07 131 p07 9/2/2007
p08 462 p08 3/2/2007
p09 156 p09 1/1/2007
p15 156 p15 5/2/2007
p31 389 p31 9/1/2007
p37 517 p37 5/12/2006
462 p38 27/12/2006
p38 603 p38 1/1/2007
603 p38 1/2/2007
p39 200 p39 11/3/2006
603 p39 1/1/2007
p68 110 p68 11/1/2007
p88 603 p88 29/12/2006
p89 178 p89 23/12/2006
p98 389 p98 5/2/2007
Figure 9
15
Name: Requires (conversely, is required for).
Description: A treatment requires a prescription which records the drug used for the
treatment.
Reading: Each treatment requires zero, one or more prescriptions.
Each prescription is required for exactly one treatment.
Sample
relationship
occurrences:
Treatment Prescription
StaffNo PatientId StartDate
Requires
PrescriptionNo
131 p07 9/2/2007 P0328
178 p89 23/12/2006 P3342
200 p39 11/3/2006 P8734
389 p31 9/1/2007 P2121
462 p38 27/12/2006 P8123
462 p08 3/2/2007 P0001
P0101
517 p37 5/12/2006 P2113
603 p38 1/1/2007 P3472
603 p39 1/1/2007 P0005
P0234
603 p38 1/2/2007 P4231
603 p88 29/12/2006 P3465
Figure 10
16
Name: IsUsed (conversely, uses).
Description: A drug is used in a treatment; each use of a drug is recorded on a
prescription.
Reading: Each drug is used on zero, one or more prescriptions.
Each prescription uses exactly one drug.
Sample
relationship
occurrences:
Drug Prescription
DrugCode
IsUsed
PrescriptionNo
B23 P0001
P3342
B48 P4231
B63 P0101
F28 P0005
F29 P2121
P0328
P51 P3472
P8734
S38 P0234
S90 P2113
P3465
X01 P8123
Figure 11

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Copyright  2007 The Open University WEB 94418 4 1.1 M359 Hospital domain of discourse summary This document can be used if you are unsure of the background to the Hospital scenario being developed during the course. It is not referenced explicitly in the
استعرض الموضوع السابق استعرض الموضوع التالي الرجوع الى أعلى الصفحة 
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