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Presenters: Jupitar Sanasam & Avantika Gupta
Moderator: Prof. Brogen Singh Akoijam
Management Information System
OUTLINE
1. What is MIS
2. Evolution of MIS
3. Why is MIS important
4. How to organize MIS
5. Current trends in MIS
6. Advantages & Limitations
7. Conclusion
ā€œIt can be defined as a system, which provides the required
information to each level of management at the right time, in the
right form, covering the desired quantity and quality, so that it may
form the basis of decision-makingā€
MANAGEMENT INFORMATION SYSTEM
(Davis G.B. and Oslon M.H. Management Information system
Conceptual foundation, structure and Development)
Basic terms
Management:
Process of planning, decision
making, organising, leading
motivation and controlling the
human resources, financial,
physical, and information
resources of an organisation to
reach its goals efficiently and
effectively
Information:
The processed data that
helps the management in
planning, controlling and
operations
Data:
Data means unstructured
raw facts, observations or
unevaluated messages in
isolation
System:
A collection of
components that work
together to achieve a
common objective
Important concepts in healthcare management
Effectiveness:
How well the objective is met
Efficiency:
How well the health sector is using its resources to achieve that goal
Equity:
ā€¢ Access to healthcare is the basic right of all people
ā€¢ The absence of unfair and avoidable or remediable differences in health among population
groups defined socially, economically, demographically or geographically
Scope of Management (Health)
Management cycle
Planning
Organization
Implementation
Evaluation
Health information sources
Information from other sectors
System organized on a national scale
Information as a result of purposeful effort
or as an outcome of activities at local level
Findings of special surveys
Health information sources
Information from other sectors
System organized on a national scale
Information as a result of purposeful effort
or as an outcome of activities at local level
Findings of special surveys
ā€¢ Population censuses, Civil
registration system
ā€¢ Periodic reports by health
ministry, or other ministries
on political economic and
social situation
ā€¢ Five year development plans
Health information sources
Information from other sectors
System organized on a national scale
Information as a result of purposeful effort
or as an outcome of activities at local level
Findings of special surveys
ā€¢ Routine service records and
registers maintained by
health personals at different
levels
ā€¢ Periodic work done and
activities undertaken by
health personal
Health information sources
Information from other sectors
System organized on a national scale
Information as a result of purposeful effort
or as an outcome of activities at local level
Findings of special surveys
ā€¢ Undertaken for objectives
such as case detection for
TB, leprosy, blindness and
malaria etc.
ā€¢ Ongoing surveillance for
communicable disease,
cancer registry etc
Health information sources
Information from other sectors
System organized on a national scale
Information as a result of purposeful effort
or as an outcome of activities at local level
Findings of special surveys
ā€¢ Social, demographic and
economic status,
developmental activities,
village water supply system
ā€¢ Educational system and
extension of education in
various fields such as
agriculture, animal
husbandry
Decision Support
system
Management
Information system
Office support system
Transaction support system
Executive
support
system
Tacit Knowledge
Explicit Knowledge
Information
Basic Data
Operation Support
system
Management
support system
Types of information system
Decision Support
system
Management
Information system
Office support system
Transaction support system
Executive
support
system
Types of information system
ā€¢Ensures that all of the
contractual, transactional,
and customer relationship
data is stored
ā€¢Includes daily accounting,
sales registry etc.
Routine work like daily data
entry, process documents
and daily report
ā€¢Creates reports/information for
managers
ā€¢Corrective decision and action
ā€¢Helps to take decision on a
small scale, e.g. management of
human resources
ā€¢Takes inputs from MIS, DSS,
and other side information for
future planning and decision
Uses of health information
ā€¢ Measurement of community health & Community diagnosis
ā€¢ Finding solution to health problems
ā€¢ Prioritization & Planning of interventions
ā€¢ Directing and controlling health programmes
ā€¢ Development of procedures, definitions, classification and methods
of collection, analysis, storage and retrieval of data
ā€¢ Establishing administrative standards
ā€¢ Determination of met and unmet health needs
ā€¢ Monitoring & evaluation of health programmes
ā€¢ Carry out Information-Education-Communication activities for
community and decision-makers
ā€¢ Demand social support for health activities
ā€¢ Support health legislation
Characteristics of health information (WHO)
ā€¢ Population based
ā€¢ Problem oriented
ā€¢ Avoid unnecessary agglomeration of data
ā€¢ Employ functional and operational terms (e.g. episodes of
illness, treatment regimens, Lab test)
ā€¢ Express information briefly and imaginatively (e.g. Tables, charts,
percentages
ā€¢ Facility for data feed back must be present
ā€œA mechanism for collection, processing, analysis, and
transmission of information required for organising and
operating health services and also for research and trainingā€
(Conference on HIS, WHO/EURO, 1973)
Health Information System (HIS)
HIS and MIS
ā€¢ MIS has a more specific and limited objective and scope
ā€¢ It provides information support necessary for decision
making for effective management of health organization
ā€¢ MIS also involves evaluation and monitoring
ā€¢ MIS implies immediate action on information
Resources
Indicators
Data sources
Data
management
Information
products
Disseminati
on and use
Components of HIS
Legislative, regulatory,
and planning framework,
ICT, manpower and
finance
Indicators which determine
health system inputs,
outputs, and outcomes, and
health status
Population based (Census,
surveys, and civil
registration) Institute based
data, occasional health
surveys, research
Collection, storage, quality-
assurance, flow, processing,
compilation, and analysis
Data transformed into information
basis for evidence and decision
making
Value enhanced by making it
readily accessible to decision
makers
Health Management Information System
(HMIS)
It is a Government to Government (G2G) web-based Monitoring
Information System that has been put in place by Ministry of
Health & Family Welfare (MoHFW), Government of India to
monitor the National Health Mission and other Health programmes
and provide key inputs for policy formulation and appropriate
programme interventions
Objective of HMIS
ā€¢ To provide reliable, latest and useful health information to all levels of health officers
and administrators
ā€¢ To amend health policies and working system on the basis of feedback, received
from health information system
ā€¢ To provide information about periodically and time bound programmes and for mid
term evaluation
ā€¢ To contribute towards achievement of objectives of health policies and programmes.
ā€¢ To increase efficiency and quality in health management.
Year and event Content
1982 MIES- Management information and
Evaluation system was tried to be introduced
but has not taken roots
1983 national
health policy
Envisaged a nationwide organizational setup
to procure essential health information
1983-85 Development of HMIS with WHO
collaboration and National Informatics Center
(NIC)
Evolution of HMIS
Year and event Content
1986-88 HMIS version 1.0 in four participating state of
Gujarat, Haryana, Maharashtra and Rajastan
1989 Field testing of the HMIS in one district of
Gujarat, Haryana, Maharashtra and Rajasthan
1990-95 Implementation efforts in 13 states and Union
Territories in phased manner
Evolution of HMIS Contd.
Year and event Content
1996 March
review meeting
To take note of the changes suggested by the
implementing states and revise the HMIS 2.0
1997 CBHI
organised a
workshop
To take note of the changes suggested by the
implementing states and revise the HMIS 2.0
21st Oct, 2008 HMIS web portal started under NRHM
4th April, 2021 Virtual launch of IHIP
Evolution of HMIS Contd.
IMPORTANCE of HMIS
ā€¢ It transforms data inputs into information output for use by
decision makers
ā€¢ Produces information needed by Patients, communities, service
providers, program managers, policymakers, providers of funds,
global agencies and organizations
ā€¢ Identification and allocation of manpower and other resources
ā€¢ Effective and efficient uses of resources
ā€¢ Performance evaluation of program
ā€¢ Detect and control emerging and endemic health problems
ā€¢ Monitor progress towards health goals; and promote equity
OUTLINE
1. What is MIS
2. Evolution of MIS
3. Why is MIS important
4. How to organize MIS
5. Current trends in MIS
6. Advantages & Limitations
7. Conclusion
Steps of Organizing HMIS
1. Definition of Information requirements
Relevant
Valid
Accurate
Ease of
handling
Useful
Adequate
Reliable
Timely
Complete
Action-
oriented
Economics
Levels of decision-
making
Review the existing
system
Format of information
2. Define data needs of relevant units within health system
Determine the data elements needed
Identify the indicators needed by each level to perform
its functions
Differentiating data (routine data collection system vs
special studies)
Major data elements
ā€¢ ANC care
ā€¢ Intra-natal care
ā€¢ Post natal care
ā€¢ Child immunization
ā€¢ Family planning
ā€¢ Mortality
ā€¢ Patient services
ā€¢ Adolescent health
ā€¢ Laboratory testing
ā€¢ Other programs under NHM
Key performance indicators
(KPIs)
ā€¢ % of 1st trimester registration
ā€¢ % PW received 4 ANC
ā€¢ % PW fully immunized
ā€¢ % institutional deliveries
ā€¢ % C-Section
ā€¢ Sex ratio at birth
ā€¢ % children fully immunized
ā€¢ OPD/IPD per lakh population
ā€¢ % male/ female sterilization
3. Determine the most appropriate & effective data flow
Flow of data in most of the states
follows the bottom up approach
SC
SC
SC
PHC
PHC
PHC
CHC
CHC
District
Hospital
4. Conversion of data into information
5. Time bound collection, processing and transmission of
data / information
ā€¢ Frequency and exact point of time at which these steps are to
be achieved is to be laid down and strictly adhered to
ā€¢ Processing at different levels in the upward flow would tend
to convert bits of data into useful information.
6. Develop training programs according to needs and
levels of target groups
District
Hospital
CHC
Sub-
Centre
PHC
Monthly report
NRHM/DH/3/M
5th of following
month
District
HQ
State
HQ
Monthly report
NRHM/CHC/3/M
5th of following
month
Monthly report
NRHM/HSC/3/M
5th of following
month
Monthly report
NRHM/PHC/3/M
5th of following
month
Data capturing unit
Report submitted electronically
Quarterly report
NRHM/DHQ/2/Q
10th of month of
quarter
Monthly report
NRHM/DHQ/3/M
10th of following month
Annual report
NRHM/DHQ/1/A
5th April
Quarterly report
NRHM/SG/2/Q
10th of month of
quarter
Annual report
NRHM/SG/1/A
15th April
Response for state collected
All states submitting their
reports to centre
National HQ
Report generation at different
levels
7. Analysis, regrouping and presentation of information
ā€¢ In order to make the system flexible
enough for all the states without much
complexity, the concept of data
aggregation unit (DAU) was devised
ā€¢ DAU is the place where the data is
collected and consolidated
ā€¢ Certain basic requirements:
ļƒ˜Availability of Computers,
ļƒ˜Internet
ļƒ˜Trained Personnel ā€“ Nodal M
& E Officers
HSC
HSC
HSC
PHC
PHC
Block HQ
CHC
District Hospital
SDH
District HQ DAU
State HQ
8. Interpretation, comparison, evaluation
HMIS
Reports
Standard
reports
Analytical
reports
Live reports
Key Objectives
Comparative
assessment
Highlights
inequities
Facilitates
use of exiting
HMIS data
Visual
presentation
9. Feedback, identification of problem
HMIS Checking
When?
Monthly checking of entered data at district and
facility level
Validation is performed by
comparing values of ā‰„ 2 data
elements that are comparable
Common
validation
rules
10. Decision-making and activity planning
11. Monitoring and evaluation of system
12. Periodic review of MIS
Performance of HMIS at a glance
Currently around 2.06 Lakh health facilities are reporting data
every month
Performance at glance: 6th Jan, 2020
5th April, 2021
Integrated Health Information Platform (IHIP) is a web-
enabled near-real-time electronic information system that
is embedded with all applicable Government of India's e-
Governance standards, Information Technology (IT), data
& meta data standards to provide state-of-the-art single
operating picture with geospatial information for managing
disease outbreaks and related resources
IDSP
Functional
Needs
IDSP Data
and
Information
Products
IDSP Portal
Users
Envision integrated near real-time eSurveillance
Empower
public
health
surveillance
workforce
Ensure
sustained
financing
&
continued
leadership
Embed innovation for data quality, accessibility
IDSP ICT
Master
Plan
4
pillars
3
components
Key features
of IHIP Near real-
time
information
Single
operating
picture
Integration
of data
Geospatial
epidemiology
Public
health
surveillance
attributes
One health
approach
Person
Place
Time
Geocode
Cross sectional view
of IDSP information
system
Single
operating
picture
One
health
approach
One Health:
Interconnectedness of human
health, animal health and the
ecosystem
IHIP
Ministry of Health &
Family Welfare
Ministry of
Agriculture &
Farmers Welfare
Ministry of Home
Affairs
Ministry of Environment,
Forest and Climate
Change(MoEFCC)
Ministry of Earth
Sciences
Ministry of Electronics
& Information
Technology
Geospatial
epidemiology Can describe & analyse
geographic variations among
diseases
NIC portal:
ā€¢ Maintains data of public health
assets such as schools, airport
locations, road networks, geographic
& political boundaries
ā€¢ Hosts vast amount of high resolution
satellite imageries that are of use to
emergency preparedness & response
activities
Near real-
time
information
High-level architecture
(based on health surveillance informatics principles and best practices)
Application
Module
Approach and Capabilities Data Integration
Data collection
IDSPApp on handheld devices
IDSP web portal /store-forward
Line listings and aggregate
Automated geo-tagging of all
appropriate fields
Data
Management
Near real-time
Lossless data storage
Integration of IDSP data with
relevant datasets from GoI/CRS,
and other entities.
Data Analytics
and Forecasting
Location based alerting algorithm
for analysis and projection
Automated alert generation
Automated Geospatial trend analysis
and visualization
Data visualization
Results displayed on navigation maps,
satellite imagery and other modes
Dynamic dashboard (mapped to
time, place, person and custom rules)
Business
Intelligence and
reports
Automated outputs
Custom Summary, PDF, on-screen
display
Custom reports made available at
all levels on relevant reports to
ANM; DSU, SSU and CSU
Documentation
and Support
Cloud server (NIC BSNL)
Standalone server
Scalability to all states and within
each state; API based data exchange
Use of
innovation
Provide
opportunities
for private
sector
engagement
A vision to monitor public health for action in near real-time
Integration
Proposed integration of data sets through IDSP Data Linked Record System
Indiaā€™s integrated health information architecture
IDSPā€™s current data collection effort at state level
IDSPā€™s access to ICT infrastructure
Mobile
computing
platform
Store-and-
forward
What are the essential differences between previous and
new IDSP portal?
Capture aggregate data
only
Paper-based data
collection
Not to link data from S, P
& L forms
Weekly surveillance
Monitor only 13 health
conditions
IDSP Capture disaggregate data at
all levels
Analysis provided on mobile
phones
Link data from S, P, L, EWS
1 & 2 forms
Integrate with ongoing
surveillance programs
Monitor >33 health
conditions
Capture real-time data
IHIP
Sr.
No.
State (Total no. of
Districts)
No of Districts
implementing
IHIP
No of Districts (ever) Reported
S
Form
P
Form
L
Form
Issues in implementation
1 Andhra Pradesh (13) 13 13 13 13 Training completed
2
Himachal Pradesh
(12)
12 12 12 12
Training completed
3 Karnataka (30) 30 29 30 30
Tablets distributed in all Districts. Training of HWs to be
completed in District Ramnagaram by next week and data
entry will be started.
4 Kerala (14) 14 10 14 12 Integration between E health & IHIP
5 Odisha (30) 17 6 12 8
Computer & internet connectivity issues.
Training completed in 11 Districts out of 17.
Tablets distributed in all Districts.
6 Uttar Pradesh (75) 10 2 10 10
Training completed in all 75 Districts. Tablets distributed
only in 10 implementing Districts. Proposal for computers
to be sent with gap analysis and justification.
7 Telangana (33) 33 32 33 33
Hyderabad has no S form reporting unit, Hence not
reporting.
Total (207) 129 104 124 118
1st Phase IHIP Reporting Status (26.11.18 - 16.09.2019)
Sl.
No.
State
Districts covered in ToT
training
Plan for District. Training
(Initiated or not)
1. Arunachal Pradesh 19/25 Planned in Sep-Oct 2019
2. Uttarakhand 14/14 October 2019
3. Assam 27/27 To be initiated
4.
Meghalaya
(along-with Assam)
State level officials only To be initiated
5.
Nagaland
(along-with Assam)
1/10 To be initiated
6. Sikkim (along with Assam) -- To be initiated
7. Madhya Pradesh 51/51 Ongoing, Completed in 24/51
8. Gujarat 33/33 On-going
9.
Dadar & Nagar Haveli (along-with
Gujarat)
1/1 To be initiated
10. Daman & Diu (along-with Gujarat) 2/2 To be initiated
11. Haryana 5/22 Planned in September.
12. Goa 02/02 Completed
13. Maharashtra 36/36 To be initiated
14. Manipur 16/16 Planned in November
15. Bihar 38/38 On-going
2nd Phase IHIP implementation status
WHO personnel facilitating
training of participants from DSU
on IHIP-IDSP at Manipur
Health officials trained on IHIP in
Mokokchung, Nagaland
ā€¢ WHO has supported refresher
ā€˜trainings of trainersā€™ for all
state-level officers, and
trainings of > 2500 have been
completed
ā€¢ At the district-level, trainings
and refresher sessions have
been completed in >600
districts, in which >64,000
participants were trained
Information on IHIP
Disease summary Dashboard
Real-time Lab confirmed cases of health conditions
Summary downloadable real-time charts
Real-time view of lab-confirmed cases of
And progression and daily/weekly monitoring of activity
Real-time end-to-end management of outbreaks
Manage health facilities along with the list of health
workforce, essential and emergency medicines and supplies
within them.
View heatmaps and distribution of lab-confirmed cases.
Time place and person (patient case summaries)
13th Dec, 2019:
Manipur becomes
the first in North
East to implement
IHIP
IHIP in Manipur
Less reporting
NMIS
(Nursing
management
information
system)
KAMIS
(Kala-Azar
Management
Information
System)
NCCMIS
(National
Cold Chain
Management
Information
System)
eVIN
MERA
ASPATAAL
(MA)
Web based
Malaria
Management
Information
Systm
NIKSHAY /
NIKSHAY
AUSHADHI
TMIS
(Training
Management
Information
System)
ANMOL
Launched
on World
Health Day,
2016
12 Dec, 2019:
Health & Family Welfare Minister L
Jayantakumar Singh distributed 20
ANMOL (ANM On Line) tablet to
the nurses serving in Tengnoupal
District
COVID-19 & MIS
ā€¢Data analytics and
forecasting underpin
decision making
ā€¢Provides information
on effectiveness of
policies and decisions
ā€¢Facilitates MIS
Objective: To avail real-time health
data of patients in home isolation
for prompt response
Manipur: NHP for COVID-19
Advantages of MIS in Healthcare
Informed
decision
making
Planning
Monitoring
Evaluation
Inter-
operability
at various
levels
Increased
patient
satisfaction
Research
Easy
data
handling
Integrated
warehouse of
information
Increased
EWAR
Data
standardi-
zation
Cost-
effective
Patient
engage-
ment
Data
security
Account-
ability
BUILDING
BLOCKS FOR
VISION 2035:
Public Health
Surveillance in
India
Architecture
Proposed flow of
information
Limitations of MIS in Healthcare
Private sector involvement
Systemic errors
Unclear expectations
Training needs assessment at all levels
Non-quantifiable indicators (quality of care)
Feedback mechanism
Lack of motivation
Conclusion
HMIS is a tool which helps in gathering, aggregating, analyzing
and then using the information generated for taking actions to
improve performance of health systems
Vision of IHIP is an essential part of Indiaā€™s National Digital
Health Plan and NHP 2017 goal towards greater accountability
Critical step in any MIS is effective utilization of the information
generated, which requires strengthening of management
Conclusion
To enable IHIP
implementation:
Hands on trainings to be conducted for all
manpower
Identification of data entry point within existing
manpower
Procurement and Distribution of Tablets at the
earliest
Proposal for unavailable logistics to be made in
PIP after gap analysis and justification.
References
ā€¢ WHO. Developing Health Management Information Systems: A PRACTICAL GUIDE FOR
DEVELOPING COUNTRIES. Regional Office for Western Pacific:WHO;2004 [cited 2021 June 23].
Available from:
https://apps.who.int/iris/bitstream/handle/10665/207050/9290611650_eng.pdf?sequence=1&isAllowe
d=y.
ā€¢ Ka M, Periyasamy AG, Venkatesh U, Kishore J. A situation model of integrated health information
platform in India: an anticipated review. IJCPH. 2020 Mar;7(3):1197.
https://www.ijcmph.com/index.php/ijcmph/article/view/5929.
ā€¢ MoHFW (Statistics Division). Score Card User Manual Using HMIS Indicators. New
Delhi:MoHFW;2008 [cited 2021 June 23]. Available from: https://nrhm-
mis.nic.in/GuideLine/Guidelines%20for%20developing%20Score%20Card.pdf.
References
ā€¢ HMIS. HMIS MANAGERSā€™ MANUAL User Manual for Web Portal & DHIS2.
New Delhi:MoHFW;2011 [cited 2021 June 22]. Available from: https://www.nrhm-
mis.nic.in/Part%20A%20HMIS/Understanding%20Health%20Management%20Info
rmation%20Systems/Manager's%20Manual.pdf.
ā€¢ IHIP. Mission. New Delhi:MoHfw;2021 [cited 2021 June 26]. Available from:
https://ihip.nhp.gov.in/idsp/#!/mission.
ā€¢ HMIS. State Fact Sheet: FY 2018-2019 (April -March). New Delhi:MoHFW;2018-
19 [cited 2021 June 24]. Available from: https://nrhm-
mis.nic.in/hmisreports/analyticalreports.aspx.
THANK
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MANAGEMENT INFORMATION SYSTEM

  • 1. Presenters: Jupitar Sanasam & Avantika Gupta Moderator: Prof. Brogen Singh Akoijam Management Information System
  • 2. OUTLINE 1. What is MIS 2. Evolution of MIS 3. Why is MIS important 4. How to organize MIS 5. Current trends in MIS 6. Advantages & Limitations 7. Conclusion
  • 3. ā€œIt can be defined as a system, which provides the required information to each level of management at the right time, in the right form, covering the desired quantity and quality, so that it may form the basis of decision-makingā€ MANAGEMENT INFORMATION SYSTEM (Davis G.B. and Oslon M.H. Management Information system Conceptual foundation, structure and Development)
  • 4. Basic terms Management: Process of planning, decision making, organising, leading motivation and controlling the human resources, financial, physical, and information resources of an organisation to reach its goals efficiently and effectively Information: The processed data that helps the management in planning, controlling and operations Data: Data means unstructured raw facts, observations or unevaluated messages in isolation System: A collection of components that work together to achieve a common objective
  • 5. Important concepts in healthcare management Effectiveness: How well the objective is met Efficiency: How well the health sector is using its resources to achieve that goal Equity: ā€¢ Access to healthcare is the basic right of all people ā€¢ The absence of unfair and avoidable or remediable differences in health among population groups defined socially, economically, demographically or geographically
  • 8. Health information sources Information from other sectors System organized on a national scale Information as a result of purposeful effort or as an outcome of activities at local level Findings of special surveys
  • 9. Health information sources Information from other sectors System organized on a national scale Information as a result of purposeful effort or as an outcome of activities at local level Findings of special surveys ā€¢ Population censuses, Civil registration system ā€¢ Periodic reports by health ministry, or other ministries on political economic and social situation ā€¢ Five year development plans
  • 10. Health information sources Information from other sectors System organized on a national scale Information as a result of purposeful effort or as an outcome of activities at local level Findings of special surveys ā€¢ Routine service records and registers maintained by health personals at different levels ā€¢ Periodic work done and activities undertaken by health personal
  • 11. Health information sources Information from other sectors System organized on a national scale Information as a result of purposeful effort or as an outcome of activities at local level Findings of special surveys ā€¢ Undertaken for objectives such as case detection for TB, leprosy, blindness and malaria etc. ā€¢ Ongoing surveillance for communicable disease, cancer registry etc
  • 12. Health information sources Information from other sectors System organized on a national scale Information as a result of purposeful effort or as an outcome of activities at local level Findings of special surveys ā€¢ Social, demographic and economic status, developmental activities, village water supply system ā€¢ Educational system and extension of education in various fields such as agriculture, animal husbandry
  • 13. Decision Support system Management Information system Office support system Transaction support system Executive support system Tacit Knowledge Explicit Knowledge Information Basic Data Operation Support system Management support system Types of information system
  • 14. Decision Support system Management Information system Office support system Transaction support system Executive support system Types of information system ā€¢Ensures that all of the contractual, transactional, and customer relationship data is stored ā€¢Includes daily accounting, sales registry etc. Routine work like daily data entry, process documents and daily report ā€¢Creates reports/information for managers ā€¢Corrective decision and action ā€¢Helps to take decision on a small scale, e.g. management of human resources ā€¢Takes inputs from MIS, DSS, and other side information for future planning and decision
  • 15. Uses of health information ā€¢ Measurement of community health & Community diagnosis ā€¢ Finding solution to health problems ā€¢ Prioritization & Planning of interventions ā€¢ Directing and controlling health programmes
  • 16. ā€¢ Development of procedures, definitions, classification and methods of collection, analysis, storage and retrieval of data ā€¢ Establishing administrative standards ā€¢ Determination of met and unmet health needs
  • 17. ā€¢ Monitoring & evaluation of health programmes ā€¢ Carry out Information-Education-Communication activities for community and decision-makers ā€¢ Demand social support for health activities ā€¢ Support health legislation
  • 18. Characteristics of health information (WHO) ā€¢ Population based ā€¢ Problem oriented ā€¢ Avoid unnecessary agglomeration of data ā€¢ Employ functional and operational terms (e.g. episodes of illness, treatment regimens, Lab test)
  • 19. ā€¢ Express information briefly and imaginatively (e.g. Tables, charts, percentages ā€¢ Facility for data feed back must be present
  • 20. ā€œA mechanism for collection, processing, analysis, and transmission of information required for organising and operating health services and also for research and trainingā€ (Conference on HIS, WHO/EURO, 1973) Health Information System (HIS)
  • 21. HIS and MIS ā€¢ MIS has a more specific and limited objective and scope ā€¢ It provides information support necessary for decision making for effective management of health organization ā€¢ MIS also involves evaluation and monitoring ā€¢ MIS implies immediate action on information
  • 22. Resources Indicators Data sources Data management Information products Disseminati on and use Components of HIS Legislative, regulatory, and planning framework, ICT, manpower and finance Indicators which determine health system inputs, outputs, and outcomes, and health status Population based (Census, surveys, and civil registration) Institute based data, occasional health surveys, research Collection, storage, quality- assurance, flow, processing, compilation, and analysis Data transformed into information basis for evidence and decision making Value enhanced by making it readily accessible to decision makers
  • 23. Health Management Information System (HMIS) It is a Government to Government (G2G) web-based Monitoring Information System that has been put in place by Ministry of Health & Family Welfare (MoHFW), Government of India to monitor the National Health Mission and other Health programmes and provide key inputs for policy formulation and appropriate programme interventions
  • 24. Objective of HMIS ā€¢ To provide reliable, latest and useful health information to all levels of health officers and administrators ā€¢ To amend health policies and working system on the basis of feedback, received from health information system ā€¢ To provide information about periodically and time bound programmes and for mid term evaluation ā€¢ To contribute towards achievement of objectives of health policies and programmes. ā€¢ To increase efficiency and quality in health management.
  • 25. Year and event Content 1982 MIES- Management information and Evaluation system was tried to be introduced but has not taken roots 1983 national health policy Envisaged a nationwide organizational setup to procure essential health information 1983-85 Development of HMIS with WHO collaboration and National Informatics Center (NIC) Evolution of HMIS
  • 26. Year and event Content 1986-88 HMIS version 1.0 in four participating state of Gujarat, Haryana, Maharashtra and Rajastan 1989 Field testing of the HMIS in one district of Gujarat, Haryana, Maharashtra and Rajasthan 1990-95 Implementation efforts in 13 states and Union Territories in phased manner Evolution of HMIS Contd.
  • 27. Year and event Content 1996 March review meeting To take note of the changes suggested by the implementing states and revise the HMIS 2.0 1997 CBHI organised a workshop To take note of the changes suggested by the implementing states and revise the HMIS 2.0 21st Oct, 2008 HMIS web portal started under NRHM 4th April, 2021 Virtual launch of IHIP Evolution of HMIS Contd.
  • 28. IMPORTANCE of HMIS ā€¢ It transforms data inputs into information output for use by decision makers ā€¢ Produces information needed by Patients, communities, service providers, program managers, policymakers, providers of funds, global agencies and organizations ā€¢ Identification and allocation of manpower and other resources
  • 29. ā€¢ Effective and efficient uses of resources ā€¢ Performance evaluation of program ā€¢ Detect and control emerging and endemic health problems ā€¢ Monitor progress towards health goals; and promote equity
  • 30. OUTLINE 1. What is MIS 2. Evolution of MIS 3. Why is MIS important 4. How to organize MIS 5. Current trends in MIS 6. Advantages & Limitations 7. Conclusion
  • 32. 1. Definition of Information requirements Relevant Valid Accurate Ease of handling Useful Adequate Reliable Timely Complete Action- oriented Economics Levels of decision- making Review the existing system Format of information
  • 33. 2. Define data needs of relevant units within health system Determine the data elements needed Identify the indicators needed by each level to perform its functions Differentiating data (routine data collection system vs special studies)
  • 34. Major data elements ā€¢ ANC care ā€¢ Intra-natal care ā€¢ Post natal care ā€¢ Child immunization ā€¢ Family planning ā€¢ Mortality ā€¢ Patient services ā€¢ Adolescent health ā€¢ Laboratory testing ā€¢ Other programs under NHM Key performance indicators (KPIs) ā€¢ % of 1st trimester registration ā€¢ % PW received 4 ANC ā€¢ % PW fully immunized ā€¢ % institutional deliveries ā€¢ % C-Section ā€¢ Sex ratio at birth ā€¢ % children fully immunized ā€¢ OPD/IPD per lakh population ā€¢ % male/ female sterilization
  • 35. 3. Determine the most appropriate & effective data flow Flow of data in most of the states follows the bottom up approach SC SC SC PHC PHC PHC CHC CHC District Hospital
  • 36. 4. Conversion of data into information 5. Time bound collection, processing and transmission of data / information ā€¢ Frequency and exact point of time at which these steps are to be achieved is to be laid down and strictly adhered to ā€¢ Processing at different levels in the upward flow would tend to convert bits of data into useful information. 6. Develop training programs according to needs and levels of target groups
  • 37. District Hospital CHC Sub- Centre PHC Monthly report NRHM/DH/3/M 5th of following month District HQ State HQ Monthly report NRHM/CHC/3/M 5th of following month Monthly report NRHM/HSC/3/M 5th of following month Monthly report NRHM/PHC/3/M 5th of following month Data capturing unit Report submitted electronically Quarterly report NRHM/DHQ/2/Q 10th of month of quarter Monthly report NRHM/DHQ/3/M 10th of following month Annual report NRHM/DHQ/1/A 5th April Quarterly report NRHM/SG/2/Q 10th of month of quarter Annual report NRHM/SG/1/A 15th April Response for state collected All states submitting their reports to centre National HQ Report generation at different levels
  • 38. 7. Analysis, regrouping and presentation of information ā€¢ In order to make the system flexible enough for all the states without much complexity, the concept of data aggregation unit (DAU) was devised ā€¢ DAU is the place where the data is collected and consolidated ā€¢ Certain basic requirements: ļƒ˜Availability of Computers, ļƒ˜Internet ļƒ˜Trained Personnel ā€“ Nodal M & E Officers HSC HSC HSC PHC PHC Block HQ CHC District Hospital SDH District HQ DAU State HQ
  • 39. 8. Interpretation, comparison, evaluation HMIS Reports Standard reports Analytical reports Live reports
  • 41.
  • 42. 9. Feedback, identification of problem HMIS Checking When? Monthly checking of entered data at district and facility level
  • 43. Validation is performed by comparing values of ā‰„ 2 data elements that are comparable Common validation rules
  • 44. 10. Decision-making and activity planning 11. Monitoring and evaluation of system 12. Periodic review of MIS
  • 45. Performance of HMIS at a glance Currently around 2.06 Lakh health facilities are reporting data every month Performance at glance: 6th Jan, 2020
  • 46.
  • 48. Integrated Health Information Platform (IHIP) is a web- enabled near-real-time electronic information system that is embedded with all applicable Government of India's e- Governance standards, Information Technology (IT), data & meta data standards to provide state-of-the-art single operating picture with geospatial information for managing disease outbreaks and related resources
  • 49. IDSP Functional Needs IDSP Data and Information Products IDSP Portal Users Envision integrated near real-time eSurveillance Empower public health surveillance workforce Ensure sustained financing & continued leadership Embed innovation for data quality, accessibility IDSP ICT Master Plan 4 pillars 3 components
  • 50. Key features of IHIP Near real- time information Single operating picture Integration of data Geospatial epidemiology Public health surveillance attributes One health approach Person Place Time Geocode
  • 51. Cross sectional view of IDSP information system Single operating picture
  • 52. One health approach One Health: Interconnectedness of human health, animal health and the ecosystem IHIP Ministry of Health & Family Welfare Ministry of Agriculture & Farmers Welfare Ministry of Home Affairs Ministry of Environment, Forest and Climate Change(MoEFCC) Ministry of Earth Sciences Ministry of Electronics & Information Technology
  • 53. Geospatial epidemiology Can describe & analyse geographic variations among diseases NIC portal: ā€¢ Maintains data of public health assets such as schools, airport locations, road networks, geographic & political boundaries ā€¢ Hosts vast amount of high resolution satellite imageries that are of use to emergency preparedness & response activities
  • 54. Near real- time information High-level architecture (based on health surveillance informatics principles and best practices) Application Module Approach and Capabilities Data Integration Data collection IDSPApp on handheld devices IDSP web portal /store-forward Line listings and aggregate Automated geo-tagging of all appropriate fields Data Management Near real-time Lossless data storage Integration of IDSP data with relevant datasets from GoI/CRS, and other entities. Data Analytics and Forecasting Location based alerting algorithm for analysis and projection Automated alert generation Automated Geospatial trend analysis and visualization Data visualization Results displayed on navigation maps, satellite imagery and other modes Dynamic dashboard (mapped to time, place, person and custom rules) Business Intelligence and reports Automated outputs Custom Summary, PDF, on-screen display Custom reports made available at all levels on relevant reports to ANM; DSU, SSU and CSU Documentation and Support Cloud server (NIC BSNL) Standalone server Scalability to all states and within each state; API based data exchange Use of innovation Provide opportunities for private sector engagement
  • 55. A vision to monitor public health for action in near real-time
  • 56. Integration Proposed integration of data sets through IDSP Data Linked Record System
  • 57. Indiaā€™s integrated health information architecture
  • 58. IDSPā€™s current data collection effort at state level
  • 59. IDSPā€™s access to ICT infrastructure Mobile computing platform Store-and- forward
  • 60. What are the essential differences between previous and new IDSP portal? Capture aggregate data only Paper-based data collection Not to link data from S, P & L forms Weekly surveillance Monitor only 13 health conditions IDSP Capture disaggregate data at all levels Analysis provided on mobile phones Link data from S, P, L, EWS 1 & 2 forms Integrate with ongoing surveillance programs Monitor >33 health conditions Capture real-time data IHIP
  • 61. Sr. No. State (Total no. of Districts) No of Districts implementing IHIP No of Districts (ever) Reported S Form P Form L Form Issues in implementation 1 Andhra Pradesh (13) 13 13 13 13 Training completed 2 Himachal Pradesh (12) 12 12 12 12 Training completed 3 Karnataka (30) 30 29 30 30 Tablets distributed in all Districts. Training of HWs to be completed in District Ramnagaram by next week and data entry will be started. 4 Kerala (14) 14 10 14 12 Integration between E health & IHIP 5 Odisha (30) 17 6 12 8 Computer & internet connectivity issues. Training completed in 11 Districts out of 17. Tablets distributed in all Districts. 6 Uttar Pradesh (75) 10 2 10 10 Training completed in all 75 Districts. Tablets distributed only in 10 implementing Districts. Proposal for computers to be sent with gap analysis and justification. 7 Telangana (33) 33 32 33 33 Hyderabad has no S form reporting unit, Hence not reporting. Total (207) 129 104 124 118 1st Phase IHIP Reporting Status (26.11.18 - 16.09.2019)
  • 62. Sl. No. State Districts covered in ToT training Plan for District. Training (Initiated or not) 1. Arunachal Pradesh 19/25 Planned in Sep-Oct 2019 2. Uttarakhand 14/14 October 2019 3. Assam 27/27 To be initiated 4. Meghalaya (along-with Assam) State level officials only To be initiated 5. Nagaland (along-with Assam) 1/10 To be initiated 6. Sikkim (along with Assam) -- To be initiated 7. Madhya Pradesh 51/51 Ongoing, Completed in 24/51 8. Gujarat 33/33 On-going 9. Dadar & Nagar Haveli (along-with Gujarat) 1/1 To be initiated 10. Daman & Diu (along-with Gujarat) 2/2 To be initiated 11. Haryana 5/22 Planned in September. 12. Goa 02/02 Completed 13. Maharashtra 36/36 To be initiated 14. Manipur 16/16 Planned in November 15. Bihar 38/38 On-going 2nd Phase IHIP implementation status
  • 63. WHO personnel facilitating training of participants from DSU on IHIP-IDSP at Manipur Health officials trained on IHIP in Mokokchung, Nagaland ā€¢ WHO has supported refresher ā€˜trainings of trainersā€™ for all state-level officers, and trainings of > 2500 have been completed ā€¢ At the district-level, trainings and refresher sessions have been completed in >600 districts, in which >64,000 participants were trained
  • 64. Information on IHIP Disease summary Dashboard Real-time Lab confirmed cases of health conditions Summary downloadable real-time charts Real-time view of lab-confirmed cases of And progression and daily/weekly monitoring of activity Real-time end-to-end management of outbreaks Manage health facilities along with the list of health workforce, essential and emergency medicines and supplies within them. View heatmaps and distribution of lab-confirmed cases. Time place and person (patient case summaries)
  • 65. 13th Dec, 2019: Manipur becomes the first in North East to implement IHIP IHIP in Manipur Less reporting
  • 68. 12 Dec, 2019: Health & Family Welfare Minister L Jayantakumar Singh distributed 20 ANMOL (ANM On Line) tablet to the nurses serving in Tengnoupal District
  • 69. COVID-19 & MIS ā€¢Data analytics and forecasting underpin decision making ā€¢Provides information on effectiveness of policies and decisions ā€¢Facilitates MIS
  • 70. Objective: To avail real-time health data of patients in home isolation for prompt response
  • 71. Manipur: NHP for COVID-19
  • 72. Advantages of MIS in Healthcare Informed decision making Planning Monitoring Evaluation Inter- operability at various levels Increased patient satisfaction Research Easy data handling Integrated warehouse of information Increased EWAR Data standardi- zation Cost- effective Patient engage- ment Data security Account- ability
  • 73. BUILDING BLOCKS FOR VISION 2035: Public Health Surveillance in India Architecture Proposed flow of information
  • 74. Limitations of MIS in Healthcare Private sector involvement Systemic errors Unclear expectations Training needs assessment at all levels Non-quantifiable indicators (quality of care) Feedback mechanism Lack of motivation
  • 75. Conclusion HMIS is a tool which helps in gathering, aggregating, analyzing and then using the information generated for taking actions to improve performance of health systems Vision of IHIP is an essential part of Indiaā€™s National Digital Health Plan and NHP 2017 goal towards greater accountability Critical step in any MIS is effective utilization of the information generated, which requires strengthening of management
  • 76. Conclusion To enable IHIP implementation: Hands on trainings to be conducted for all manpower Identification of data entry point within existing manpower Procurement and Distribution of Tablets at the earliest Proposal for unavailable logistics to be made in PIP after gap analysis and justification.
  • 77. References ā€¢ WHO. Developing Health Management Information Systems: A PRACTICAL GUIDE FOR DEVELOPING COUNTRIES. Regional Office for Western Pacific:WHO;2004 [cited 2021 June 23]. Available from: https://apps.who.int/iris/bitstream/handle/10665/207050/9290611650_eng.pdf?sequence=1&isAllowe d=y. ā€¢ Ka M, Periyasamy AG, Venkatesh U, Kishore J. A situation model of integrated health information platform in India: an anticipated review. IJCPH. 2020 Mar;7(3):1197. https://www.ijcmph.com/index.php/ijcmph/article/view/5929. ā€¢ MoHFW (Statistics Division). Score Card User Manual Using HMIS Indicators. New Delhi:MoHFW;2008 [cited 2021 June 23]. Available from: https://nrhm- mis.nic.in/GuideLine/Guidelines%20for%20developing%20Score%20Card.pdf.
  • 78. References ā€¢ HMIS. HMIS MANAGERSā€™ MANUAL User Manual for Web Portal & DHIS2. New Delhi:MoHFW;2011 [cited 2021 June 22]. Available from: https://www.nrhm- mis.nic.in/Part%20A%20HMIS/Understanding%20Health%20Management%20Info rmation%20Systems/Manager's%20Manual.pdf. ā€¢ IHIP. Mission. New Delhi:MoHfw;2021 [cited 2021 June 26]. Available from: https://ihip.nhp.gov.in/idsp/#!/mission. ā€¢ HMIS. State Fact Sheet: FY 2018-2019 (April -March). New Delhi:MoHFW;2018- 19 [cited 2021 June 24]. Available from: https://nrhm- mis.nic.in/hmisreports/analyticalreports.aspx.

Editor's Notes

  1. Web based MIES form flow
  2. Validation checks are a part of all HMIS softwares and can be used by data entry operators to check for sources of error.
  3. Mobile based or tablet based data collection facility (real time or offline data collection abilities)
  4. Data standardization- help in easy comparison and cross analysis
  5. Data standardization- help in easy comparison and cross analysis