Evidence map›Paper›PMID 30006325›Full record

ArticleJournal of medical Internet research2018

Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India.

Satchit Balsari, Alexander Fortenko, Joaquín A Blaya, Adrian Gropper, Malavika Jayaram, Rahul Matthan, Ram Sahasranam, Mark Shankar, Suptendra N Sarbadhikari, Barbara E Bierer and 3 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Satchit BalsariBeth Israel Deaconess Medical Center, Harvard Medical School, Department of Emergency Medicine, Boston, MA, United States.ORCID 0000-0002-5492-1900
Alexander FortenkoNewYork-Presyterian Hospital, Emergency Medicine, New York, NY, United States.ORCID 0000-0002-7502-597X
Joaquín A BlayaThe Human Diagnosis Project, Washington DC, DC, United States.ORCID 0000-0003-4213-2426
Adrian GropperPatient Privacy Rights, Boston, MA, United States.ORCID 0000-0002-5142-6525
Malavika JayaramDigital Asia Hub, Hong Kong, China.ORCID 0000-0003-0604-789X
Rahul MatthanTriLegal, Bangalore, India.ORCID 0000-0001-8302-7660
Ram SahasranamAthenahealth, San Francisco, CA, United States.ORCID 0000-0001-9110-6000
Mark ShankarHarvard Business School, Boston, MA, United States.ORCID 0000-0003-0820-3331
Suptendra N SarbadhikariInternational Institute of Health Management Research, New Delhi, India.ORCID 0000-0001-9970-7513
Barbara E BiererBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-6448-8170
Kenneth D MandlBoston Children's Hospital, Computational Health Informatics Program, Boston, MA, United States.ORCID 0000-0002-9781-0477
Sanjay MehendaleIndian Council of Medical Research, New Delhi, India.ORCID 0000-0002-2191-4034
Tarun KhannaHarvard Business School, Boston, MA, United States.ORCID 0000-0003-4613-7531

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world's largest insurance program. To meet this target, the government will rely on technology to effectively scale services, monitor quality, and ensure accountability. While India has seen great strides in informational technology development and outsourcing, cellular phone penetration, cloud computing, and financial technology, the digital health ecosystem is in its nascent stages and has been waiting for a catalyst to seed the system. This National Health Protection Scheme is expected to provide just this impetus for widespread adoption. However, health data in India are mostly not digitized. In the few instances that they are, the data are not standardized, not interoperable, and not readily accessible to clinicians, researchers, or policymakers. While such barriers to easy health information exchange are hardly unique to India, the greenfield nature of India's digital health infrastructure presents an excellent opportunity to avoid the pitfalls of complex, restrictive, digital health systems that have evolved elsewhere. We propose here a federated, patient-centric, application programming interface (API)-enabled health information ecosystem that leverages India's near-universal mobile phone penetration, universal availability of unique ID systems, and evolving privacy and data protection laws. It builds on global best practices and promotes the adoption of human-centered design principles, data minimization, and open standard APIs. The recommendations are the result of 18 months of deliberations with multiple stakeholders in India and the United States, including from academia, industry, and government.

Indexed as

Computer SecurityElectronic Health RecordsHumansIndiaPublic HealthUniversal Health Insurancehealth APIshealth information exchangeIndia

Identifiers

PMID30006325
PMCPMC6064038

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.