View
1.082
Download
6
Category
Preview:
Citation preview
Hospital Information Management System Leonoid Technologies Pvt. Ltd
Project By:
Chandrima Das (07030241006)
Raveesh Goswami (07030241024)
Sampreeth Agara (07030241029)
Saurabh Soni (07030241032)
Surbhit Bansal (07030241033)
Vijay Chakule (07030241035)
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
Table of Contents
1. Introduction ………………………………………… 1
2. Scope ……………………………………………….. 1
3. Requirements for HIMS ……………………............. 1
4. Functioning ………………………………………… 2
5. Salient Features …………………………………….. 2
6. Features Overview …………………………............. 3
6.1 Patient Registration …………………………….. 3
6.2 Billing ………………………………………….. 3
6.3 Electronic Medical Report (EMR) …………….. 3
6.4 Reports …………………………………............ 4
6.5 Resources ………………………………............ 4
6.6 Scheduling ……………………………………... 5
6.7 Knowledge Repository ………………………... 5
7. Estimation …………………………………………….. 5
7.1 Function Point Model …………………….................. 5
7.2 COCOMO Model …………………………………… 10
8. Probable risks and Solution …………………………… 11
References ……………………………………………….. 12
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
1. Introduction:
Hospital Information Management (HIMS) System is designed for hospitals, which covers the wide range of hospital administration and management processes. It provides relevant information across the hospital to support effective decision making for patient care, scheduling and billing, in a seamless flow.
2. Scope: 1. The base product is an integrated system for storing, visualizing, querying and
retrieving patient medical records, cost of treatment and hospital inventory. 2. The system caters to various departments in a hospital setup. 3. The system has facility to register patients with a unique ID. 4. The System features a Knowledge Repository that includes Standard Protocols and
Drug Information. 5. Appointment scheduling is an integral part of the system. 6. The system provides facility to generate customized Reports/Discharge summary. 7. The system has facility to export data that can be customized.
3. Requirements for HIMS (Functional and Non-Functional): Functional:
1. Patient information 2. Clinical laboratory, radiology, and patient monitoring 3. Patient census and billing 4. Staffing and scheduling 5. Outcomes assessment and quality control 6. Pharmacy ordering, prescription handling, and pharmacopoeia information 7. Decision support 8. Finance and accounting 9. Supplies, inventory, maintenance, and orders management
Non-Functional:
1. Access to information. 2. Improvement in quality of documentation. 3. Improving quality of patient care. 4. Improvement in communications. 5. Reduction in errors of omission. 6. Reduction in medication errors. 7. Reduction in hospital costs. 8. Development of a common clinical database. 9. Enhancing ability to track patient's record.
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
10. Improving hospital image.
4. Functioning: The system is a software application that consists of seven modules that would be developed by Leonoid Technologies Pvt. Ltd. These seven modules are basically providing various controls functioning between various functions that concern a hospital management. The system is connected to an EAI that communicates between database of hospital and front end application. The front end application is being developed by us and the cost of integrating it with EAI would be an additional cost that would depend on the number of licenses that the hospital opts for.
5. Salient Features/Functionalities The base product has the following functionalities:
Registration
Billing
Electronic Medical Records (EMR)
Reports
Resources
Scheduling
Knowledge Repository
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
6. Features Overview 6.1 Patient Registration (Admission) This feature will enable the user to capture information about the Out/ In Patient. Patient Registration includes essential details such as „Name‟, „Surname‟, „Sex‟, „Phone Number‟, „Date of Birth‟, „Age‟ etc. A unique ID is generated by the application for each registered patient. In addition, there is a provision to capture a unique identifier for each patient, which can be his/her „Passport‟, „PAN issued by Income Tax Department of India‟, „Driving License‟, „Voter‟s ID issued by EC of India‟, etc. A combination of the Patient ID and the identifier will be unique and would help in distinguishing patients sharing the same name, surname or date of birth. Patient Registration also includes facility to capture more details such as „Marital Status‟, „Contact Address‟ of the patient and place of registration. Additionally, facility to capture details of person to be contacted in case of emergency, like „Name‟, „Relationship‟, „Contact Number‟, „Address‟ etc, has been provided. If the patient is covered under Medical Insurance, then there is provision to capture information regarding the same including „Policy No.‟, „Sum Insured‟, „Insurer‟, „TPA‟, etc. 6.2 Billing This feature will allow user(s) with appropriate privileges to generate, store and retrieve information of billing and keep track of individual payments for the following categories: 1. Consultation – General, Health Check-up, Specialist, etc. 2. In-Patient – Ward/Bed Charges, Surgical, etc. 3. Laboratory – Diagnostics like Blood Sugar test, Biopsy, ECG etc. 4. Pharmacy – Medicines, Consumables, etc. 5. Miscellaneous – Anesthetist Charges, Dressing, Accommodation, etc. 6.3 Electronic Medical Record (EMR) This feature will help users (usually Doctors, Nurses or any authorized person) to capture information of the patient in an electronic format. Following are few typical categories: 1. Medical Data - Examination, Operation (Surgical) Procedure, Observation,
Diagnosis, Prescription, Diet Instruction, etc.
2. Radiology Data - USG, ECG, X-ray, etc.
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
3. Wet Lab Data - Information of the analyzed sample obtained from the patient for investigations like Biochemistry, Hematology, etc.
4. Time Series Data - Time-dependent parameters of the patient such as Partogram, Temperature Chart, Nurse‟s Bedside Report, Diabetes management, Blood pressure monitoring (PIH), Drug administration, etc.
6.4 Reports The following types of reports can be generated for In/Out Patients: 1. Investigation Reports 2. Discharge Summary 3. Depending upon the specialization of a department, report formats can be
customized and/or templates can be provided. 6.5 Resources This feature will contain information regarding: 1. Organization structure – Divisions, Departments, Labs, People, etc.
2. People – Affiliation of human resources such as Doctors, Nurses, etc. to various
divisions, departments. 3. Inventory – will have information regarding inventory items in labs and pharmacy. Inventory will be categorized as: 1. Consumable - Any resource that will be used up and not generate immediate
hazardous remnant. Ex: Injectables, Medicines, food supplements, etc.
2. Disposable - Any resource that will be used up and generate disposable remnant. Ex: Syringes, gloves etc.
3. Reusable - Any resource that will be reused over a period of time, but
servicing/refilling will be needed after every cycle of use. Ex: Linen, Oxygen cylinders, etc.
4. Durable - Any resource that will be used over a period of time, but servicing/refilling
may not be required after each cycle of use. Ex: Refrigerators, Beds, ICU equipments, Instruments, Apparatus, Computers, Printers etc
5. Biosample - Any resource that is collected from the patients as a part of medical
examination, Ex: Bio-fluids, Tissues etc.
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
6.6 Scheduling This feature will facilitate: 1. Doctor Scheduling 2. Appointment Scheduling for Patients 3. Operation Theatre Scheduling 4. Duty Roster 6.7 Knowledge Repository This feature will help to capture information on the following: 1. Drug Information - Description, Clinical Pharmacology, Indications & Dosage, Side
effects & Drug interactions, Warnings & Precautions and Overdose & Contraindications about relevant drugs.
2. Standard Protocols - Medical procedures undertaken at predefined conditions.
7 Estimation through Function points and COCOMO model:
7.1 Function Point Estimation:
Some points considered before calculating the FP‟s for this system: 1. Module 1:- 1 Display, Maximum inputs from the users and contains patient
information. 2. Module 2:- Total 4 displays, each function sub divided into more sub-functions, only
the major functional applications have been shown. Getting 1 Input from module1. 3. Module 3:- 2 Displays, Investigation and discharge, 6 inputs from module 1 and 11
from module 2. 4. Module 4:- 3 Displays and 10 inputs from mod-1, 4 from mod-2, 1 from mod-3, 6
from mod-6 and I from mod-7. 5. Module 5:- 3 Displays and 2 inputs from mod-1, 2 from mod-6 and 1 from mod-7. 6. Module 6:- 1 Display and 2 inputs from mod-1, 2 from mod-2 and 1 from mod-7. 7. Module 7:- 1 Display and 1 input from mod-1, 6 from mod-2 and 1 from mod-4.
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
All these inputs and connectivity‟s have been used to calculate the internal logic connections in the system. Note: -The details have not been given in complete but on an average each function shown below in the module tables can be further divided into 4-5 sub-functions whose complexities would be low. EIF: - USG, ECG, Data Base (Back end through EAI), BP, Pathology, Temperature, Diabetes. The complexities shown below are based on parameter that each function is going to hold i.e. <=19 is low, <=49 is average and >=50 is high. Modules and their complexity values which have been used for calculating function
points.
Module- 1 Patient Registration
Complexity
Features Low
Name Low
Surname Low
Sex Low Ph. No Low
DOB Low
Age Low
Marital Status Low
Address Average
Bed No. Low
Insurance Policy No. Low Person to contact during emergency Name Low
Relationship Low Contact Number Low
Module -2 EMR (Electronic Medical Reports)
Complexity
Medical data
Examination High
Observation Average
Diagnosis Average
Prescription Average
Diet instruction Low
Radiology Data
USG Average
ECG Average
X-Ray Average
Wet Lab data
Biochemistry Average
Hematology Low
Time Series data
Blood Pressure Low
Diabetes Low
Temp Chart. Low
Partogram Low
Drug Administration Average
Bed Side report Low
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
Module - 3 Reports Complexity Investigation report Blood Average Urine Average ECG High Chest X-Ray High Sonography High Blood Clotting Time Low Blood grouping Low Blood Sugar Low Discharge Summary Name Low Age Low Sex Low Diagnosis High Date of Admission Low Date of Discharge Low Presenting Complain Average Past History Average Investigation done Average Treatment given High Follow-ups Low Medication Low Name of the Doctor Low
Module - 4 Billing Complexity Consulting General Average Health Check-up Average Specialist Low IPD Ward/Bed Charges Low Surgical Average Laboratory Blood Sugar Low Biopsy Low ECG Average Urine Average Blood Grouping Low
Blood Average Pharmacy Medicine Average Surgical Average Misc Anesthetist Charges Average
Dressing Low
Accommodation Low
Module - 6 Resources
Complexity
Organization Structure
Division Low
Department Low
Lab Average
People Average
Doctor Low
Nurse
Inventory Consumables
Injectable Average
Medicine Average
Food Supplements Low
Disposable
Syringes Low
Gloves Low
Re-Useable
Oxygen Cylinders Low
Linen Low
Durables
Refrigerator Low
Bed Low
ICU Average
Instrument Average
Computer/Printer Low
Apparatus Average
Bio-Sample
Tissues Average Bio-Fluid Average
Module -5 Scheduling Complexity Doctor Scheduling Average Appointment For Patient Low OT Schedule Average Duty Roster High
Module - 7 Knowledge Repository Complexity Drug Info Description Average Indication and Doses Average Side effects and Drug Interactions High Warning & precautions/ Overdose High Contraindications Average Clinical Pharmacology Average
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
Estimation through Function Points:
ASSUMED VALUES COMPLEXITY FACTORS TOTAL
S.NO LOW AVERAGE HIGH LOW AVERAGE HIGH
EXTERNAL
INPUT
31 28 5 3 4 6 235
EXTERNAL
OUTPUT
8 7 4 4 5 7 95
EXTERNAL
QUERY
15 12 4 3 4 6 117
INTERNAL
LOGIC FILE
38 34 7 7 10 15 711
EXTERNAL
INTERFACE
4 2 1 5 7 10 44
TOTAL 1202
VALUE ADJUSTED FACTORS
General System Char. Value General System Characteristic
Value
Data Communications 3 On-Line Updates of Master File
0
Distributed Processing 2 Complex Processing 2
Performance 4 Reusability 2
Heavily Used Configuration
2 Conversion & Installation Ease
4
Transaction Rates 1 Operational Ease 4
On-Line Data Entry 1 Multiple Sites 3
End-User Efficiency 3 Backup & Recovery 3
Total Degree of Influence (TDI)
34
VAF (Value adjusted factor) = (TDI*.01) +.065= (34*.01) +.65= 0.99
COUNT TOTAL= VAF*FUNCTION POINT= 1202*0.99= 1189.98
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
The above table here uses an empirical method of calculating effort and cost. (Sources have
been mentioned in References).
Assumptions:-
1. Programming language is Visual C.
2. No. of persons required 6.
3. Cost per person per day 25$ (Used in India).
4. Miscellaneous cost for other expenses like traveling etc.
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
5. Buffer of 15 days for safety purpose.
6. Quality and testing 15 days set and same persons are going to do.
7. Saturday and Sunday have been considered holidays and so adjusted with extra 24
days.
Computing Function Points
EI EO EQ ILF EIF Functionality
Parameters
Module 1 (Patient Registration) 16 1 4 20 0 20
Module 2 (EMR) 0 4 2 3 4 18
Module 3 (Reports) 9 4 7 9 3 21
Module 4 (Billing) 16 1 4 16 0 16
Module 5 (Scheduling) 3 6 4 6 0 4
Module 6 (Resources) 20 2 7 20 0 20
Module 7 (Knowledge Repository) 0 1 3 1 0 7
7.2 Estimation using COCOMO model:
COCOMO model uses LOC for calculations. COCOMO has been defined for three classes of
software‟s and we are going to use “SEMI-DETACHED” because the project is of rigid as well
as flexible requirements.
Assumptions: -
1. Programming Language is Visual C.
2. Average LOC by a developer in a day is 60 (source in references) according to
estimates made by experts. (Min-40 and max-100).
3. Person working are 6.
4. Project is to be completed in 5
months so approx 120 days of
working.
5. Cost per person per day 25$.
Calculations: -
E = aKLOC b ----(1)
Development Time = cEd ------(2)
Software project a b c D
Organic Project 2.4 1.05 2.5 .38
Semi-Detached 3.0 1.12 2.5 .35
Embedded 3.6 1.20 2.5 .32
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
The system has in all 75 functionalities (specified in modules shown above) and each
application on an average has 5 sub-functions. The average line of code according to
information available from sources (References) is 95-120 lines per Application functionality
in C/C++ so we are taking 110 lines as average.
Therefore, Total LOC= 5 (sub-Fn) *75(Main Fn)*110 (LOC) = 41250 LOC=41.25 KLOC.
Now applying it in equation (1) we get
E= 3 *(41.25^1.12) = 193.37 person month
Putting in equation (2)
D= 2.5*(193.37^0.38) = 18.48 months/person
Considering 6 developers = 18.48/6 = 3.08 months
Adding one month of buffer and quality and testing= 3.08 + 1= 4.10 months approx adding
24 days of holidays i.e. 24/30= 0.8.
Total time is then 4.8 months.
Cost would be 25$ * 45(Conversion to Rs.) * total 116.3 days= 7, 85,995.3 Rs
Adding 1, 00,000 as miscellaneous for other expenses (Travel etc) we get 8,85,995.3 Rs.
8. Probable Risks and their Solution:
1. The electricity may go while the entries are still being done so the system would be
available with a dedicated battery back up.
2. The communication of front end application with back end may create problem so we
would take services of an oracle certified partner.
3. Any module may show error and hinders the progress of work thus we have designed
modules to work independently.
4. Incomplete data may be entered in the system so some field are made mandatory which
have to be filled before the entry can be made.
5. During emergency, system may show error so the system may be run in safe mode with
minimum functionality.
6. Data stored unsorted at the back end so proper normalization techniques are used while
storing of data.
7. Security risks are one of the major threats so minimum connectivity with the internet is
provided.
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
8. End user may not be comfortable with system so proper training needs to be provided to
the hospital staff.
9. The interfacing done with various systems may not be proper so a suitable middleware
application needs to be chosen also a certified implementer is required.
Hospital Information Management System – Leonoid Technologies Pvt. Ltd
REFERENCES
1. http://www.softwaremetrics.com/Function%20Point%20Training%20Book
let%20New.pdf
2. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1492375
3. http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/10923/34372/01640
4. http://www.codeproject.com/gen/design/Estimation.asp
5. http://www.codeproject.com/gen/design/cocomo2.asp
6. http://www.ijcim.th.org/past_editions/v13n1/IJCIM-V131-pp3.pdf
7. http://www.softdevtools.com/modules/weblinks/viewcat.php?cid=39
8. http://msdn2.microsoft.com/en-us/library/bb245774.aspx
9. “Software Engineering” by Roger R. Pressman.
Recommended