EMR

Electronic medical records

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Electronic medical records

Country
Sector
Most major industry classification systems use sources of revenue as their basis for classifying companies into specific sectors, subsectors and industries. In order to group like companies based on their sustainability-related risks and opportunities, SASB created the Sustainable Industry Classification System® (SICS®) and the classification of sectors, subsectors and industries in the SDG Investor Platform is based on SICS.
Health Care
Sub Sector
Most major industry classification systems use sources of revenue as their basis for classifying companies into specific sectors, subsectors and industries. In order to group like companies based on their sustainability-related risks and opportunities, SASB created the Sustainable Industry Classification System® (SICS®) and the classification of sectors, subsectors and industries in the SDG Investor Platform is based on SICS.
Health Care Providers
Indicative Return
Describes the rate of growth an investment is expected to generate within the IOA. The indicative return is identified for the IOA by establishing its Internal Rate of Return (IRR), Return of Investment (ROI) or Gross Profit Margin (GPM).
> 25% (in IRR)
Investment Timeframe
Describes the time period in which the IOA will pay-back the invested resources. The estimate is based on asset expected lifetime as the IOA will start generating accumulated positive cash-flows.
Short Term (0–5 years)
Market Size
Describes the value of potential addressable market of the IOA. The market size is identified for the IOA by establishing the value in USD, identifying the Compound Annual Growth Rate (CAGR) or providing a numeric unit critical to the IOA.
> USD 1 billion
Average Ticket Size (USD)
Describes the USD amount for a typical investment required in the IOA.
> USD 10 million
Direct Impact
Describes the primary SDG(s) the IOA addresses.
Industry, Innovation and Infrastructure (SDG 9) Life on Land (SDG 15)
Indirect Impact
Describes the secondary SDG(s) the IOA addresses.
Zero Hunger (SDG 2) Responsible Consumption and Production (SDG 12)

Business Model Description

Allow Electronic Medical Records (EMR) platforms to connect doctors with patient anywhere in the country regardless of their care site. EMR also allows health professionals to have precise, real, and reliable data on all patients' health history, easing processes and using Analytical tools to predict diseases by analyzing trends and clinical tests.

How is this information gathered?

Investment opportunities with potential to contribute to sustainable development are based on country-level SDG Investor Maps.

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Country & Regions

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Sector Classification

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Sector

Health Care

Development need
Colombia is the 4th largest pharmaceutical market in Latin America (5) 1.28M employees in pharma and healthcare (5) USD$ 14.3B in public healthcare expenditure (5) Policy priority: The National Development Plan seeks to achieve the satisfaction of users with quality and opportunity of care, as well as to provide human talent and the health infrastructure of the different regions. Similarly, it seeks to directly face hypertension and the risk of cerebrovascular and heart diseases. Gender inequalities and marginalization issues: Of the employed women in rural areas, 6.9% have no health affiliation 13% of indigenous populations that are not affiliated to the national health system, but also the remaining 87% who can improve the service they receive Investment opportunities: M&A activity was quite vigorous in 2018 and 2019 and concentrated mainly in the medical cannabis manufacturing and private healthcare segments (5). Key bottlenecks: A significant driver for the development of healthcare sector is a rising demand for high-complexity medical services (5). Also, a key restraining factor for the subsector is the rising shortage of medical professionals stemming from poor working conditions and structural problems in the domestic educational system (5).

Sub Sector

Health Care Providers

Development need
Currently, out of 8,000 IPS, only 37 are accredited (6) 77,456 medical professionals in Colombia registered in the Special Registry of Health Services Providers (5) Even large and important cities have less than 9% of the national total number of Medical Professionals (5) With the pandemic, providers, have been forced to expand their virtual care network. However, many still experience problems and do not reach dispersed rural areas. Policy priority: Law 1955 of 2019 specifies that MinSalud must promote the management of the provision of health services, through advances and improvements in connectivity in remote areas of the country, in coordination with the guidelines of MinTIC (e.g., telehealth programs)(20). Gender inequalities and marginalization issues: 90% of indigenous territories are located in border departments requiring digitalized records for a telemedicine appointment (10). Investment opportunities: The National Development Plan, within the "equity" component, seeks to support a digital transformation for health with interoperable medical records and with health care and promotion programs in the territories (telehealth) (2). Key bottlenecks: Connectivity between urban and rural differ significantly, as it is 45.7% in the head municipalities vs. 6.2 % in scattered rural areas, which would result in difficulties when implementing the electronic medical records

Industry

Health Care Delivery

Pipeline Opportunity

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Investment Opportunity Area

Electronic medical records

Electronic medical records software for the connection, analysis and basic exchange of information and protection of patient data.
Business Model

Allow Electronic Medical Records (EMR) platforms to connect doctors with patient anywhere in the country regardless of their care site. EMR also allows health professionals to have precise, real, and reliable data on all patients' health history, easing processes and using Analytical tools to predict diseases by analyzing trends and clinical tests.

Business Case

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Market Size and Environment

Market Size (USD)
Describes the value in USD of a potential addressable market of the IOA.

> USD 1 billion

CAGR
Describes the historical or expected annual growth of revenues in the IOA market.

5% - 10%

The digital transformation of health in Colombia is necessary. According to recent data, investment in technologies for the digital transformation of companies in Colombia is expected to be USD$ 1.9B in 2022 (16). The global electronic health records (EHR) market size is projected to reach USD$ 40B by 2026, exhibiting a CAGR of 5.4% (6).

Indicative Return

IRR
Describes an expected annual rate of growth of the IOA investment.

> 25%

The American Academy of Ophthalmology constructed an analysis of electronic health records' financial return that showed an IRR on the investment of 41% (7).

Investment Timeframe

Timeframe
Describes the time period in which the IOA will pay-back the invested resources. The estimate is based on asset expected lifetime as the IOA will start generating accumulated positive cash-flows.

Short Term (0–5 years)

The payback period in the American Academy of Ophthalmology analysis was almost three years (7). Furthermore, according to investors interviewed, an expected holding period for SMEs' investments in microfinance would be around five years.

Ticket Size

Average Ticket Size (USD)
Describes the USD amount for a typical investment required in the IOA.

> USD 10 million

Market Risks & Scale Obstacles

Market - Highly Regulated

Since it is sensitive and confidential information, there could be restrictions on the information this network can display.

Capital - CapEx Intensive

High infrastructure costs for initial operations and digital transformation of the healthcare system is necessary. A unique database for non-repetitiveness requires high coordination but also a significant investment to cover all the country.

Impact Case

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Sustainable Development Need

USD$ 28.6 per km2 is Colombia's production in arable land, while Brazil, Mexico, and the OECD produce USD$ 33.3, USD$ 35,5, and USD$ 52,9, respectively (1). 9.76M tons of food are wasted per year in Colombia, of which 6.08M correspond to fruits and vegetables, out of which 42% are wasted during agricultural production (2). Out of 26.5M hectares with agricultural vocation, only 7M are being used (3).

Gender & Marginalisation

On +38% of the UPA, women are the ones who make production decisions. This is most common in the Andean Region (8). 18.7% of producers who have no educational level, who could receive technical assistance and/or information. 2.7M hectares of agricultural use by ethnic groups.

Expected Development Outcome

Improve decision making, provide traceability, enhance market opportunities, and improve the products' overall quality and quantity through a farm record data model over several years. Food traceability can create efficiency improvements that can help reduce food waste. Measure resources and inputs to quantify results from both. It allows using the most precise and correct inputs (water, fertilizer, chemical controls, or seeds). This could be extended to the other acres that are not being used for your vocation.

Gender & Marginalisation

Improve market opportunities and product quality of 38% UPA led by women. Provide technical assistance to underserved producers who could access technical education for software development, decision-making improvements, and product improvement. Hectares that can improve your productivity and assertiveness in cultivation given the possible tools offered.

Primary SDGs addressed

Industry, Innovation and Infrastructure (SDG 9)
9 - Industry, Innovation and Infrastructure
Current Value

Colombia, as of 2018, invested in I&D 0.24% of its GDP (27).

Colombia had the goal to provide to 49.9% of households internet access. However, no precise information is available (27).

Target Value

As for 2030, Colombia expects to invest 0.84% (27).

The government expects for 2030 an increase in this percentage to 100% (27).

Life on Land (SDG 15)
15 - Life on Land
Current Value

As of 2019, 665,549 hectares of land are in the process of restoration (27).

Target Value

By 2030, it is expected that this indicator ascends to 1M hectares (27).

Secondary SDGs addressed

Zero Hunger (SDG 2)
2 - Zero Hunger
Responsible Consumption and Production (SDG 12)
12 - Responsible Consumption and Production

Directly impacted stakeholders

People

4.7M individuals that work in the agricultural value-chain (4).

Gender inequality and/or marginalization

36.2% of women in rural areas that are employed in agriculture, livestock, silviculture, and related. On +38% of the UPA, women are the ones who make the production decisions. This is most common in the Andean Region (8).

Planet

65.8% of the land suitable for agricultural purposes are not being used to its vocation. Also, the 11.3 million hectares that are currently in use for agriculture.

Corporates

Agri-businesses that can use agricultural precision technologies to improve profits.

Public sector

92% of the budget that the government gives to farmers goes to subsidies.

Indirectly impacted stakeholders

People

Rural businesses and communities that benefit from the productivity boost.

Gender inequality and/or marginalization

18.7% of producers who have no educational level, who could receive technical assistance and/or information. 2.7M hectares of agricultural use by ethnic groups.

Corporates

19,142 companies in Colombia that are in the Food & Beverage sector (5). Insurers provide parametric services, such as Previsora, and many others encouraged by the National Development Plan.

Outcome Risks

Increase in GHG emissions due to the use of technologies or land exploitation. Contamination of water and soil due to the excessive use of fertilizers and chemical components. Loss of biodiversity due to alteration of the regular cycle of the ecosystem. Overexploitation of land by demanding practices. Gender inequality and/or marginalization risk: It can affect in certain regions the cultural or spiritual value that the land has for indigenous communities due to exploitation.

Impact Risks

Execution risk: The various available tools often do not follow the same technology standards. As a result, there is a lack of uniformity in the final analysis. Getting farmers thoroughly acquainted with the concept of smart farming is of the utmost importance before they can proceed with the implementation. Stakeholder participation risk: The Government, together with the National Development Plan, must fulfill its digital transformation initiative. Technology providers (hardware and software) need to provide advice and support for the tools' proper use. Drop off risk: That farmers do not adapt to the new measures presented, and therefore abandon projects due to difficulty or lack of digital skills. External risk: Lack of connectivity in many remote rural locations makes the implementation of digital farming problematic. Unexpected impact risk: Drastic changes in the environment that are not accounted for in big data, such as earthquakes, tsunamis, and other natural disasters. Gender inequality and/or marginalization risk: Understanding that agriculture is a sector predominantly developed by men, it must be ensured that women can have the same access to technological improvements. A significant percentage of indigenous communities' land is for agricultural use. These communities must be included despite their remoteness and geographical complications.

Enabling Environment

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Policy Environment

(SNCTI): Develop and implement the information, knowledge management, and specialized expert systems based on ICT solutions for adequate decision-making in territorial agriculture production systems.

(Agricultural and Rural Development Policy (2018-2022)): Advance towards a field with more significant equity, productivity, and competitiveness aligned with implementing an integrated rural reform (20).

(National Development Plan(2018-2022)): Seeks to invest in rural agriculture so that 550k producers have access to technologies, training, and productive assets to increase productivity. It also aims to promote companies oriented to provide complementary services based on the Internet (IoT), analytics, drones, and artificial intelligence (AI) (21).

Financial Environment

Financial incentives: The National Commission of Agricultural Credit approved (2019) new credit lines to strengthen competitiveness and associativity in agricultural value chain schemes (22). VC, such as Accion Venture Lab, has financed companies directed to remote technologies for precision monitoring and decision-making.

Fiscal incentives: Decree 849 of 2020 provides an exempt income tax incentive from investments that increase productivity in the agricultural sector for a term of 10 years (30).

Other incentives: There are 20 investment vehicles available in LatAm that finance entrepreneurs in the AgTech sector that have performed 450 in startups focused on tech-innovation for agriculture (23).

Regulatory Environment

(MinAgricultura (2020)): "Productive alliances for life" is an instrument that links small rural producers with the markets through an agribusiness scheme with a formal commercial ally (20).

(Law 1876 of 2017): It created the National Agricultural Innovation System (SNIA). Among its functions is the introduction of services, methods, adaptations that improve the production, financial, credit, and informational environment, aiming to significant improvements in the agricultural sector (28).

(Law 101 of 1993): States on the constitution that the technological development of agriculture should be favored and the provision of technical assistance to small producers (29).

Marketplace Participants

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Private Sector

NXTP Labs created an AgTech Accelerator (invests in agricultural technology), and by 2017, it invested in a platform for managing traceability and risk prevention in agriculture (24).

Government

Microsoft and MinTic, are expanding high-speed and low-cost internet connectivity through devices that take advantage of blank spaces in the radioelectric spectrum (25).

Multilaterals

IFC agreed to lend USD$ 150M to Yara International to support production in Zambia, Brazil, and Colombia. Within the pact, Yara will offer training to farmers to promote the adoption of precision farming techniques (15).

Target Locations

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References

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    • (Capture sources for sector and subsector identification and justification; each statement must be mapped to a particular source "Provide 5-20 sources, numbered and stating the publisher, year and URL as free text (400 characters per input)"
    • (1) Consejo Privado de Competitividad (2018) - Informe Nacional de Competitividad (2018-2019); Accessed May 30 2020
    • (2) DNP (2016) – Estudio de pérdida y desperdicio de alimentos en Colomba; Accesado Mayo 30 2020
    • (3) MinAgricultura (2016) - Estrategia de Agricultura y Desarrollo Rural. Accesado Mayo 30 2020
    • (4) El Campesino (2018) – El campo colombiano es el mayor generador de empleo en el país. Acceso Agosto 10
    • (5) ANDI (2018) – Industria de alimentos. Acceso Mayo 30
    • (6) Universidad del Norte (2020) Agiculture in the Colombian Caribbean
    • (7) DANE (2019) UPA caracterization
    • (8) DANE (2016) 7th Presentation from the National Agricultural Census
    • (9) Semana (2015) Oriniquia the future Colombian food pantry
    • (10) MinAgricultura, DANE (2016) Land use, National Agricultural Census
    • (11) Central Bank ("BanRep") (2008) Economies of the Colombian Pacific
    • (12) Apollo Agriculture: https://www.apolloagriculture.com/.Accessed February 8th
    • (13) Pula: https://www.pula-advisors.com/.Accessed February 8th.
    • (14) EMIS (2020) Colombia: Food & Beverage Sector 2020/2021
    • (15) IFC (2017) IFC lends USD 150 million to Yara International ASA to support food production in Brasil, Colombia and Zambia
    • (16) NewAgInternational (2018) – ¿Es Rentable la Agricultura de Precisión?
    • (17) Ulrich (2017) La Agricultura de Precisión y los Drones Mejoran la Aplicación de los Productos Fitosanitarios. Accesado Mayo 17
    • (18) Evert et. Al (2017) - Can Precision Agriculture Increase the Profitability and Sustainability of the Production of Potatoes and Olives?
    • (19) Colciencias (2016) - Plan Estratégico de Ciencia, Tecnología e Innovación del Sector Agropecuario Colombiano (2017-2027).
    • (20) MinAgricultura (2016) – Un campo para la equidad. Política Agropecuaria y de Desarrollo Rural (2018 – 2022)
    • (21) DNP (2017) – Plan Nacional de Desarrollo (2018 – 2020)
    • (22) Bancolombia (2019) - Agritech: tecnología al servicio del campo. Accesado 3 de Mayo 2020
    • (23) IDB (2018) – Mapa de la innovación AgTech en LatAm
    • (24) NxtpLabs (2018) - NXTP Labs apuesta por el AgTech con estas 17 startups latinoamericanas. Acceso 22 de Mayo 2020
    • (25) Microsoft (2020) - Ministerio TIC y Microsoft firman acuerdo para impulsar la reactivación económica inclusiva. Acceso Agosto 10 2020
    • (26) National Planning Department (2019) - 2030 Agenda in Colombia
    • (27) National Planning Department (2019) - 2030 Agenda in Colombia
    • (28) Law 1876 of 2017, Colombian Congress
    • (29) Law 101 of 1993, Colombian Congress
    • (30) Ministry of Finance and Public Credit (2020) Decree 849 of 2020
    • (31) Grand Viw Research (2020) Precision Farmining Market Size, Share & Trends Analysis
    • (32) Baio. F; Da Silva. S; Camolese. H; Neves.D (2017) Financial Analysis of the investment in the precision agriculture techniques on cotton crop. Engenharia Agricola: Journal of the Brazilian Association of Agricultural Engineering